remove the green drawer
This commit is contained in:
kicap
parent
531cb04fe4
commit
4e566b2b80
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@ -2,7 +2,17 @@
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"execution_count": 7,
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"id": "f90cb956-250b-454e-855e-fefcd0ff880a",
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"metadata": {},
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"outputs": [],
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"source": [
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"## Import Library"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "93b77493-0a01-4421-b2a0-380991740ff6",
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"metadata": {},
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"outputs": [],
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@ -10,12 +20,25 @@
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"import numpy as np\n",
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"import cv2\n",
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"import pandas as pd\n",
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"\n"
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"\n",
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"jumlah_kenderaan = 0\n",
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"kenderaan_kiri = 0\n",
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"kenderaan_kanan = 0"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"execution_count": 9,
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"id": "8d8696ea-4af1-4aa9-96cb-ff4538242ab5",
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"metadata": {},
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"outputs": [],
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"source": [
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"## Deklarasi Variable"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 10,
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"id": "80b4ff7c-1f3b-4e1d-896c-d88c0966f33e",
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"metadata": {},
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"outputs": [
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@ -23,73 +46,71 @@
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"6868.0 30.03550936578534 848 478\n"
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"3467.0 30.036135194663093 848 478\n"
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]
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}
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],
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"source": [
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"cap = cv2.VideoCapture('video/video.mp4')\n",
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"# mendapatkan jumlah frame, fps, lebar, dan tinggi dari video\n",
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"cap = cv2.VideoCapture('video/malam.mp4')\n",
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"frames_count, fps, width, height = cap.get(cv2.CAP_PROP_FRAME_COUNT), cap.get(cv2.CAP_PROP_FPS), cap.get(\n",
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" cv2.CAP_PROP_FRAME_WIDTH), cap.get(cv2.CAP_PROP_FRAME_HEIGHT)\n",
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"width = int(width)\n",
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"height = int(height)\n",
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"print(frames_count, fps, width, height)\n",
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"\n",
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"# membuat sebuah frame pandas dengan jumlah baris yang sama dengan jumlah frame\n",
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"# membuat data frame pandas dengan jumlah baris sama dengan jumlah frame\n",
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"df = pd.DataFrame(index=range(int(frames_count)))\n",
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"df.index.name = \"Frame\" # menandai kolom frame\n",
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"df.index.name = \"Frame\" # frame dalam bahasa indonesia\n",
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"\n",
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"framenumber = 0 # mencatat frame saat ini\n",
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"carscrossedup = 0 # mencatat mobil yang melintasi jalan ke atas\n",
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"carscrosseddown = 0 # mencatat mobil yang melintasi jalan ke bawah\n",
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"carids = [] # daftar kosong untuk menyimpan ID mobil\n",
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"caridscrossed = [] # daftar kosong untuk menyimpan ID mobil yang sudah melintasi\n",
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"totalcars = 0 # mencatat jumlah total mobil\n",
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"carscrossedup = 0 # mencatat mobil yang melintasi atas\n",
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"carscrosseddown = 0 # mencatat mobil yang melintasi bawah\n",
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"carids = [] # list kosong untuk menambah id mobil\n",
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"caridscrossed = [] # list kosong untuk menambah id mobil yang telah melintasi\n",
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"totalcars = 0 # mencatat total mobil\n",
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"\n",
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"fgbg = cv2.createBackgroundSubtractorMOG2() # membuat pengambil gambar latar belakang\n",
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"fgbg = cv2.createBackgroundSubtractorMOG2() # membuat subtractor latar belakang MOG2\n",
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"\n",
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"# informasi untuk mulai menyimpan video\n",
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"ret, frame = cap.read() # mengimpor gambar\n",
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"ratio = .5 # rasio ukuran pengubahan ukuran\n",
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"image = cv2.resize(frame, (0, 0), None, ratio, ratio) # mengubah ukuran gambar\n",
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"width2, height2, channels = image.shape\n"
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"# informasi untuk memulai menyimpan file video\n",
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"ret, frame = cap.read() # impor gambar\n",
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"ratio = .5 # rasio pengubah ukuran\n",
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"image = cv2.resize(frame, (0, 0), None, ratio, ratio) # ubah ukuran gambar\n",
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"width2, height2, channels = image.shape\n",
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"# video = cv2.VideoWriter('penghitung_kendaraan.avi', cv2.VideoWriter_fourcc('M', 'J', 'P', 'G'), fps, (height2, width2), 1)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "5c8d5645-9df8-457c-88d7-2d3bbc0fade9",
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"execution_count": 11,
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"id": "1c2cd208-3d36-4e1d-9376-5e1d223bd021",
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"metadata": {},
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"outputs": [
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{
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"ename": "KeyboardInterrupt",
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"evalue": "",
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"output_type": "error",
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"traceback": [
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"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[0;32mIn[3], line 265\u001b[0m\n\u001b[1;32m 260\u001b[0m \u001b[38;5;66;03m# video.write(image) # save the current image to video file from earlier\u001b[39;00m\n\u001b[1;32m 261\u001b[0m \n\u001b[1;32m 262\u001b[0m \u001b[38;5;66;03m# adds to framecount\u001b[39;00m\n\u001b[1;32m 263\u001b[0m framenumber \u001b[38;5;241m=\u001b[39m framenumber \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[0;32m--> 265\u001b[0m k \u001b[38;5;241m=\u001b[39m \u001b[43mcv2\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mwaitKey\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mint\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m1000\u001b[39;49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43mfps\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;241m&\u001b[39m \u001b[38;5;241m0xff\u001b[39m \u001b[38;5;66;03m# int(1000/fps) is normal speed since waitkey is in ms\u001b[39;00m\n\u001b[1;32m 266\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m k \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m27\u001b[39m:\n\u001b[1;32m 267\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n",
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"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
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"outputs": [],
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"source": [
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"## Proses Video "
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]
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}
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],
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "1c53be2e-1fc0-46af-b8dd-84cd6b1dffdb",
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"metadata": {},
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"outputs": [],
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"source": [
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"while True:\n",
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"\n",
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" ret, frame = cap.read() # mengimpor gambar\n",
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" ret, frame = cap.read() # impor gambar\n",
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"\n",
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" if ret: # jika ada frame lanjutkan dengan kode\n",
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" if ret: # jika ada frame lanjutkan kode\n",
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"\n",
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" image = cv2.resize(frame, (0, 0), None, ratio, ratio) # mengubah ukuran gambar\n",
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" image = cv2.resize(frame, (0, 0), None, ratio, ratio) # ubah ukuran gambar\n",
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"\n",
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" gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # mengubah gambar ke hitam putih\n",
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" gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # konversi gambar ke warna abu-abu\n",
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"\n",
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" fgmask = fgbg.apply(gray) # menggunakan pengambil gambar latar belakang\n",
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" fgmask = fgbg.apply(gray) # menggunakan pengurangan latar belakang MOG2\n",
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"\n",
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" # menerapkan berbagai batasan pada fgmask untuk menyaring mobil\n",
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" # perlu bermain dengan setelan tersebut hingga mobil dapat diidentifikasi dengan mudah\n",
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" kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 5)) # kernel untuk dilakukan pada morphology\n",
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" # menerapkan tingkat kesulitan pada fgmask untuk mencoba mengisolasi mobil\n",
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" # perlu mencoba berbagai pengaturan hingga mobil mudah diidentifikasi\n",
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" kernel = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (5, 5)) # membuat kernel untuk operasi morfologi\n",
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" closing = cv2.morphologyEx(fgmask, cv2.MORPH_CLOSE, kernel)\n",
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" opening = cv2.morphologyEx(closing, cv2.MORPH_OPEN, kernel)\n",
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" dilation = cv2.dilate(opening, kernel)\n",
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" # membuat kontur\n",
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" contours, hierarchy = cv2.findContours(bins, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)[-2:]\n",
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"\n",
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" # menggunakan konveks hull untuk membuat poligon di sekitar kontur\n",
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" # menggunakan konveks hull untuk membuat poligon kait dengan kontur\n",
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" hull = [cv2.convexHull(c) for c in contours]\n",
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"\n",
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" # menggambar kontur\n",
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" cv2.drawContours(image, hull, -1, (0, 255, 0), 3)\n",
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"\n",
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" # garis dibuat untuk menghentikan menghitung kontur, perlu dilakukan karena mobil yang jauh akan menjadi satu kontur besar\n",
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" lineypos = 225\n",
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" # garis dibuat untuk menghentikan penghitungan kontur, diperlukan karena mobil jauh menjadi kontur satu\n",
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" lineypos = 100\n",
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" cv2.line(image, (0, lineypos), (width, lineypos), (255, 0, 0), 5)\n",
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"\n",
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" # garis y pos dibuat untuk menghitung kontur\n",
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" lineypos2 = 250\n",
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" # garis y posisi dibuat untuk menghitung kontur\n",
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" lineypos2 = 125\n",
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" cv2.line(image, (0, lineypos2), (width, lineypos2), (0, 255, 0), 5)\n",
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"\n",
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" # minimum area untuk kontur\n",
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" minarea = 300\n",
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" # area minimal untuk kontur agar tidak dihitung sebagai rumit\n",
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" minarea = 400\n",
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"\n",
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" # maksimum area untuk kontur\n",
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" maxarea = 50000\n",
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" # area maksimal untuk kontur, dapat cukup besar untuk bus\n",
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" maxarea = 40000\n",
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"\n",
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" # vektor untuk x dan y lokasi centroid di frame saat ini\n",
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" # vektor untuk x dan y lokasi tengah kontur dalam frame saat ini\n",
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" cxx = np.zeros(len(contours))\n",
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" cyy = np.zeros(len(contours))\n",
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"\n",
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" for i in range(len(contours)): # mengulangi seluruh kontur dalam frame saat ini\n",
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" for i in range(len(contours)): # melakukan iterasi pada semua kontur dalam frame saat ini\n",
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"\n",
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" if hierarchy[0, i, 3] == -1: # menggunakan hierarchy untuk hanya menghitung kontur induk (tidak termasuk dalam kontur lain)\n",
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" # menggunakan hierarki untuk hanya menghitung kontur induk (kontur yang tidak berada dalam kontur lain)\n",
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" if hierarchy[0, i, 3] == -1:\n",
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"\n",
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" area = cv2.contourArea(contours[i]) # menghitung area kontur\n",
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" area = cv2.contourArea(contours[i]) # menghitung luas kontur\n",
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"\n",
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" if minarea < area < maxarea: # area threshold untuk kontur\n",
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" if minarea < area < maxarea: # menggunakan area sebagai garis pembatas untuk kontur\n",
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"\n",
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" # menghitung centroid dari kontur\n",
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" cnt = contours[i]\n",
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@ -136,129 +158,152 @@
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" cx = int(M['m10'] / M['m00'])\n",
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" cy = int(M['m01'] / M['m00'])\n",
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"\n",
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" if cy > lineypos: # menghapus kontur yang di atas garis\n",
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" if cy > lineypos: # menghapus kontur yang berada di atas garis (y dimulai dari atas)\n",
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"\n",
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" # mengambil titik teratas, kiri, dan lebar dari kontur untuk membuat kotak\n",
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" # x,y adalah kiri atas dan w,h adalah lebar dan tinggi\n",
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" # mengambil titik koordinat untuk membuat kotak lingkaran\n",
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" x, y, w, h = cv2.boundingRect(cnt)\n",
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"\n",
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" # membuat kotak di sekitar kontur\n",
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" # membuat kotak lingkaran dari kontur\n",
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" cv2.rectangle(image, (x, y), (x + w, y + h), (255, 0, 0), 2)\n",
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"\n",
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" # Menuliskan teks centroid untuk memastikan kembali nanti\n",
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" # Menambahkan teks centroid untuk memverifikasi pada tahap selanjutnya\n",
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" cv2.putText(image, str(cx) + \",\" + str(cy), (cx + 10, cy + 10), cv2.FONT_HERSHEY_SIMPLEX,\n",
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" .3, (0, 0, 255), 1)\n",
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" 0.3, (0, 0, 255), 1)\n",
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"\n",
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" cv2.drawMarker(image, (cx, cy), (0, 0, 255), cv2.MARKER_STAR, markerSize=5, thickness=1,\n",
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" line_type=cv2.LINE_AA)\n",
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"\n",
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" # menambahkan centroid yang lulus pada kriteria ke dalam list centroid\n",
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" # menambahkan centroid yang telah memenuhi kriteria ke dalam list centroid\n",
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" cxx[i] = cx\n",
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" cyy[i] = cy\n",
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"\n",
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" # menghapus entri 0 dari list centroid\n",
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" # menghapus nol dalam vector centroid yang tidak dihitung (centroid yang tidak dikirim ke dataframe)\n",
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" cxx = cxx[cxx != 0]\n",
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" cyy = cyy[cyy != 0]\n",
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"\n",
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" # list kosong untuk nanti menyimpan indices centroid yang di tambahkan ke dataframe\n",
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" # list kosong untuk nanti mencatat indeks centroid yang dikirim ke dataframe\n",
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" minx_index2 = []\n",
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" miny_index2 = []\n",
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"\n",
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" # batas maksimum untuk radius dari centroid dari frame saat ini untuk dianggap sama dengan centroid dari frame sebelumnya\n",
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" # jumlah maksimum yang diizinkan untuk centroid dalam frame saat ini untuk dikaitkan dengan centroid dari frame sebelumnya\n",
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" maxrad = 25\n",
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"\n",
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" # Bagian ini mengelola centroid dan menetapkan mereka untuk carid lama atau carid baru\n",
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" # bagian berikut mengelola centroid dan mengasignasinya ke id mobil lama atau id mobil baru\n",
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"\n",
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" # jika terdapat centroid dalam area yang ditentukan\n",
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" if len(cxx): # jika ada centroid dalam area yang ditentukan\n",
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"\n",
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" if not carids: # jika carids kosong\n",
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" if not carids: # jika daftar carids kosong\n",
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"\n",
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" for i in range(len(cxx)): # melalui semua centroid\n",
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" for i in range(len(cxx)): # melakukan loop sebanyak centroid yang ada\n",
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"\n",
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" carids.append(i) # menambahkan car id ke list carids kosong\n",
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" df[str(carids[i])] = \"\" # menambahkan kolom ke dataframe sesuai carid\n",
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" carids.append(i) # menambahkan id mobil ke dalam daftar kosong\n",
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" df[str(carids[i])] = \"\" # menambahkan kolom ke dalam dataframe berdasarkan id mobil\n",
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"\n",
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" # menetapkan nilai centroid ke frame (baris) dan carid (kolom) yang sesuai\n",
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" # mengisi nilai centroid pada frame saat ini dan id mobil yang sesuai\n",
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" df.at[int(framenumber), str(carids[i])] = [cxx[i], cyy[i]]\n",
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"\n",
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" totalcars = carids[i] + 1 # menambahkan count car\n",
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" totalcars = carids[i] + 1 # menambahkan 1 pada jumlah mobil\n",
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"\n",
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" else: # jika carids sudah ada\n",
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" else: # jika sudah ada id mobil\n",
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"\n",
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" dx = np.zeros((len(cxx), len(carids))) # array baru untuk menghitung deltas\n",
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" dy = np.zeros((len(cyy), len(carids))) # array baru untuk menghitung deltas\n",
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" dx = np.zeros((len(cxx), len(carids))) # array untuk menghitung deltanya\n",
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" dy = np.zeros((len(cyy), len(carids))) # array untuk menghitung deltanya\n",
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"\n",
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" for i in range(len(cxx)): # melalui semua centroid\n",
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" for i in range(len(cxx)): # melakukan loop sebanyak centroid yang ada\n",
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"\n",
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" for j in range(len(carids)): # melalui semua car id yang sudah ada\n",
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" for j in range(len(carids)): # melakukan loop sebanyak id mobil yang ada\n",
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"\n",
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" # mengambil centroid dari frame sebelumnya untuk carid tertentu\n",
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" # mengambil centroid dari frame sebelumnya untuk id mobil tertentu\n",
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" oldcxcy = df.iloc[int(framenumber - 1)][str(carids[j])]\n",
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"\n",
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" # mengambil centroid dari frame saat ini yang tidak selalu sesuai dengan centroid frame sebelumnya\n",
|
||||
" # mengambil centroid dari frame sekarang yang tidak selalu sesuai dengan centroid dari frame sebelumnya\n",
|
||||
" curcxcy = np.array([cxx[i], cyy[i]])\n",
|
||||
"\n",
|
||||
" if not oldcxcy: # periksa apakah centroid sebelumnya kosong jika arah sudah tidak ada di layar\n",
|
||||
" if not oldcxcy: # jika centroid dari frame sebelumnya kosong karena mobil keluar layar\n",
|
||||
"\n",
|
||||
" continue # lanjutkan ke carid berikutnya\n",
|
||||
" continue # lanjutkan ke id mobil selanjutnya\n",
|
||||
"\n",
|
||||
" else: # hitung delta centroid untuk membandingkan dengan centroid frame saat ini\n",
|
||||
" else: # hitung deltanya untuk dibandingkan dengan centroid dari frame sekarang\n",
|
||||
"\n",
|
||||
" dx[i, j] = oldcxcy[0] - curcxcy[0]\n",
|
||||
" dy[i, j] = oldcxcy[1] - curcxcy[1]\n",
|
||||
"\n",
|
||||
" for j in range(len(carids)): # melalui semua car id saat ini\n",
|
||||
" for j in range(len(carids)): # melakukan loop sebanyak id mobil yang ada\n",
|
||||
"\n",
|
||||
" sumsum = np.abs(dx[:, j]) + np.abs(dy[:, j]) # menghitung delta wrt car id\n",
|
||||
" jumlahjumlah = np.abs(dx[:, j]) + np.abs(dy[:, j]) # menghitung jumlah delta wrt id mobil tertentu\n",
|
||||
"\n",
|
||||
" # mengambil indeks centroid yang memiliki nilai delta minimum dan ini indeks benar\n",
|
||||
" correctindextrue = np.argmin(np.abs(sumsum))\n",
|
||||
" minx_index = correctindextrue\n",
|
||||
" miny_index = correctindextrue\n",
|
||||
" # mencari indeks id mobil yang memiliki nilai minimum dan ini indeks yang tepat\n",
|
||||
" indeksindextrue = np.argmin(np.abs(jumlahjumlah))\n",
|
||||
" minx_index = indeksindextrue\n",
|
||||
" miny_index = indeksindextrue\n",
|
||||
"\n",
|
||||
" # mengambil delta nilai minimum untuk dibandingkan dengan radius\n",
|
||||
" mindx = dx[minx_index, j]\n",
|
||||
" mindy = dy[miny_index, j]\n",
|
||||
" # mengambil nilai delta untuk id mobil yang dipilih\n",
|
||||
" deltadeltadx = dx[minx_index, j]\n",
|
||||
" deltadeltady = dy[miny_index, j]\n",
|
||||
"\n",
|
||||
" if mindx == 0 and mindy == 0 and np.all(dx[:, j] == 0) and np.all(dy[:, j] == 0):\n",
|
||||
" # periksa apakah minimum nilai adalah 0 dan semua delta adalah nol\n",
|
||||
" # delta dapat berupa nol jika centroid tidak bergerak\n",
|
||||
" if deltadeltadx == 0 and deltadeltady == 0 and np.all(dx[:, j] == 0) and np.all(dy[:, j] == 0):\n",
|
||||
" # periksa apakah nilai minimum adalah 0 dan periksa apakah semua delta adalah nol karena ini adalah kumpulan kosong\n",
|
||||
" # delta dapat berupa nol jika centroid tidak berpindah\n",
|
||||
"\n",
|
||||
" continue # lanjutkan ke carid berikutnya\n",
|
||||
" continue # lanjutkan ke id mobil selanjutnya\n",
|
||||
"\n",
|
||||
" else:\n",
|
||||
"\n",
|
||||
" # jika delta nilai adalah kurang dari maksimal radius maka tambahkan centroid ke carid sebelumnya\n",
|
||||
" if np.abs(mindx) < maxrad and np.abs(mindy) < maxrad:\n",
|
||||
" # jika nilai delta kurang dari radius maksimum maka tambahkan centroid ke id mobil yang sesuai\n",
|
||||
" if np.abs(deltadeltadx) < maxrad and np.abs(deltadeltady) < maxrad:\n",
|
||||
"\n",
|
||||
" # tambahkan centroid ke carid yang sudah ada\n",
|
||||
" # menambahkan centroid ke id mobil yang sudah ada\n",
|
||||
" df.at[int(framenumber), str(carids[j])] = [cxx[minx_index], cyy[miny_index]]\n",
|
||||
" minx_index2.append(minx_index) # tambahkan semua indeks yang ditambahkan ke carid ke list\n",
|
||||
" minx_index2.append(minx_index) # menambahkan indeks centroid yang sudah ditambahkan ke id mobil lain\n",
|
||||
" miny_index2.append(miny_index)\n",
|
||||
"\n",
|
||||
" currentcars = 0 # current cars on screen\n",
|
||||
" currentcarsindex = [] # current cars on screen carid index\n",
|
||||
" for i in range(len(cxx)): # melakukan loop sebanyak centroid yang ada\n",
|
||||
"\n",
|
||||
" for i in range(len(carids)): # loops through all carids\n",
|
||||
" # jika centroid tidak ada dalam list minindex maka mobil baru perlu ditambahkan\n",
|
||||
" if i not in minx_index2 and miny_index2:\n",
|
||||
"\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
" totalcars = totalcars + 1 # menambahkan jumlah mobil yang tercatat\n",
|
||||
" t = totalcars - 1 # t adalah placeholder untuk jumlah mobil\n",
|
||||
" carids.append(t) # menambahkan id mobil ke list id mobil\n",
|
||||
" df.at[int(framenumber), str(t)] = [cxx[i], cyy[i]] # menambahkan centroid ke mobil yang sudah ada\n",
|
||||
"\n",
|
||||
" elif curcxcy[0] and not oldcxcy and not minx_index2 and not miny_index2:\n",
|
||||
" # jika centroid saat ini ada namun centroid sebelumnya tidak ada\n",
|
||||
" # mobil baru perlu ditambahkan jika minindex2 kosong\n",
|
||||
"\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
" totalcars = totalcars + 1 # menambahkan jumlah mobil yang tercatat\n",
|
||||
" t = totalcars - 1 # t adalah placeholder untuk jumlah mobil\n",
|
||||
" carids.append(t) # menambahkan id mobil ke list id mobil\n",
|
||||
" df.at[int(framenumber), str(t)] = [cxx[i], cyy[i]] # menambahkan centroid ke mobil yang sudah ada\n",
|
||||
"\n",
|
||||
" # Bagian di bawah menglabel centroid yang ada di layar\n",
|
||||
"\n",
|
||||
" currentcars = 0 # mobil yang ada di layar\n",
|
||||
" currentcarsindex = [] # indeks id mobil yang ada di layar\n",
|
||||
"\n",
|
||||
" for i in range(len(carids)): # melakukan loops sebanyak jumlah id mobil\n",
|
||||
"\n",
|
||||
" # memeriksa frame saat ini untuk mengetahui id mobil yang sedang aktif\n",
|
||||
" # dengan memeriksa adanya centroid pada frame saat ini untuk id mobil tertentu\n",
|
||||
" if df.at[int(framenumber), str(carids[i])] != '':\n",
|
||||
" # checks the current frame to see which car ids are active\n",
|
||||
" # by checking in centroid exists on current frame for certain car id\n",
|
||||
"\n",
|
||||
" currentcars = currentcars + 1 # adds another to current cars on screen\n",
|
||||
" currentcarsindex.append(i) # adds car ids to current cars on screen\n",
|
||||
" currentcars = currentcars + 1 # menambahkan mobil yang ada di layar\n",
|
||||
" currentcarsindex.append(i) # menambahkan id mobil yang ada di layar\n",
|
||||
"\n",
|
||||
" for i in range(currentcars): # loops through all current car ids on screen\n",
|
||||
" for i in range(currentcars): # melakukan loops sebanyak jumlah mobil yang ada di layar\n",
|
||||
"\n",
|
||||
" # grabs centroid of certain carid for current frame\n",
|
||||
" # mengambil centroid untuk id mobil tertentu pada frame saat ini\n",
|
||||
" curcent = df.iloc[int(framenumber)][str(carids[currentcarsindex[i]])]\n",
|
||||
"\n",
|
||||
" # grabs centroid of certain carid for previous frame\n",
|
||||
" # mengambil centroid untuk id mobil tertentu pada frame sebelumnya\n",
|
||||
" oldcent = df.iloc[int(framenumber - 1)][str(carids[currentcarsindex[i]])]\n",
|
||||
"\n",
|
||||
" if curcent: # if there is a current centroid\n",
|
||||
" if curcent: # jika ada centroid pada frame saat ini\n",
|
||||
"\n",
|
||||
" # On-screen text for current centroid\n",
|
||||
" # Teks di layar untuk centroid saat ini\n",
|
||||
" cv2.putText(image, \"Centroid\" + str(curcent[0]) + \",\" + str(curcent[1]),\n",
|
||||
" (int(curcent[0]), int(curcent[1])), cv2.FONT_HERSHEY_SIMPLEX, .5, (0, 255, 255), 2)\n",
|
||||
"\n",
|
||||
|
|
@ -268,84 +313,111 @@
|
|||
" cv2.drawMarker(image, (int(curcent[0]), int(curcent[1])), (0, 0, 255), cv2.MARKER_STAR, markerSize=5,\n",
|
||||
" thickness=1, line_type=cv2.LINE_AA)\n",
|
||||
"\n",
|
||||
" if oldcent: # checks if old centroid exists\n",
|
||||
" # adds radius box from previous centroid to current centroid for visualization\n",
|
||||
" xstart = oldcent[0] - maxrad\n",
|
||||
" ystart = oldcent[1] - maxrad\n",
|
||||
" xwidth = oldcent[0] + maxrad\n",
|
||||
" yheight = oldcent[1] + maxrad\n",
|
||||
" cv2.rectangle(image, (int(xstart), int(ystart)), (int(xwidth), int(yheight)), (0, 125, 0), 1)\n",
|
||||
" # Periksa apakah centroid lama ada\n",
|
||||
" # Tambahkan kotak radius dari centroid lama ke centroid saat ini untuk visualisasi\n",
|
||||
" if oldcent:\n",
|
||||
" xmulai = oldcent[0] - maxrad\n",
|
||||
" ymulai = oldcent[1] - maxrad\n",
|
||||
" xakhir = oldcent[0] + maxrad\n",
|
||||
" yakhir = oldcent[1] + maxrad\n",
|
||||
" cv2.rectangle(image, (int(xmulai), int(ymulai)), (int(xakhir), int(yakhir)), (0, 125, 0), 1)\n",
|
||||
"\n",
|
||||
" # checks if old centroid is on or below line and curcent is on or above line\n",
|
||||
" # to count cars and that car hasn't been counted yet\n",
|
||||
" # Periksa apakah centroid lama di bawah garis dan centroid baru di atas garis\n",
|
||||
" # Untuk menghitung mobil dan memastikan mobil tidak dihitung dua kali\n",
|
||||
" if oldcent[1] >= lineypos2 and curcent[1] <= lineypos2 and carids[\n",
|
||||
" currentcarsindex[i]] not in caridscrossed:\n",
|
||||
"\n",
|
||||
" carscrossedup = carscrossedup + 1\n",
|
||||
" kenderaan_kiri = carscrossedup\n",
|
||||
" cv2.line(image, (0, lineypos2), (width, lineypos2), (0, 0, 255), 5)\n",
|
||||
" caridscrossed.append(\n",
|
||||
" currentcarsindex[i]) # adds car id to list of count cars to prevent double counting\n",
|
||||
" currentcarsindex[i]) # Tambahkan id mobil ke daftar mobil yang dihitung untuk mencegah penghitungan dua kali\n",
|
||||
"\n",
|
||||
" # checks if old centroid is on or above line and curcent is on or below line\n",
|
||||
" # to count cars and that car hasn't been counted yet\n",
|
||||
" # Periksa apakah centroid lama di atas garis dan centroid baru di bawah garis\n",
|
||||
" # Untuk menghitung mobil dan memastikan mobil tidak dihitung dua kali\n",
|
||||
" elif oldcent[1] <= lineypos2 and curcent[1] >= lineypos2 and carids[\n",
|
||||
" currentcarsindex[i]] not in caridscrossed:\n",
|
||||
"\n",
|
||||
" carscrosseddown = carscrosseddown + 1\n",
|
||||
" kenderaan_kanan = carscrosseddown\n",
|
||||
" cv2.line(image, (0, lineypos2), (width, lineypos2), (0, 0, 125), 5)\n",
|
||||
" caridscrossed.append(currentcarsindex[i])\n",
|
||||
"\n",
|
||||
" # Top left hand corner on-screen text\n",
|
||||
" cv2.rectangle(image, (0, 0), (250, 100), (255, 0, 0), -1) # background rectangle for on-screen text\n",
|
||||
"\n",
|
||||
" cv2.putText(image, \"Cars in Area: \" + str(currentcars), (0, 15), cv2.FONT_HERSHEY_SIMPLEX, .5, (0, 170, 0), 1)\n",
|
||||
"\n",
|
||||
" cv2.putText(image, \"Cars Crossed Up: \" + str(carscrossedup), (0, 30), cv2.FONT_HERSHEY_SIMPLEX, .5, (0, 170, 0),\n",
|
||||
" # menampilkan jumlah mobil yang melintasi atas\n",
|
||||
" cv2.putText(image, \"Mobil yang Melintasi Atas: \" + str(carscrossedup), (0, 15), cv2.FONT_HERSHEY_SIMPLEX, .5, (255, 255, 255),\n",
|
||||
" 1)\n",
|
||||
"\n",
|
||||
" cv2.putText(image, \"Cars Crossed Down: \" + str(carscrosseddown), (0, 45), cv2.FONT_HERSHEY_SIMPLEX, .5,\n",
|
||||
" (0, 170, 0), 1)\n",
|
||||
" # menampilkan jumlah mobil yang melintasi bawah\n",
|
||||
" cv2.putText(image, \"Mobil yang Melintasi Bawah: \" + str(carscrosseddown), (0, 30), cv2.FONT_HERSHEY_SIMPLEX, .5,\n",
|
||||
" (255, 255, 0), 1)\n",
|
||||
"\n",
|
||||
" cv2.putText(image, \"Total Cars Detected: \" + str(len(carids)), (0, 60), cv2.FONT_HERSHEY_SIMPLEX, .5,\n",
|
||||
" (0, 170, 0), 1)\n",
|
||||
" # # menampilkan jumlah total mobil yang terdeteksi\n",
|
||||
" # cv2.putText(image, \"Total Mobil yang Terdeteksi: \" + str(len(carids)), (0, 60), cv2.FONT_HERSHEY_SIMPLEX, .5,\n",
|
||||
" # (255, 255, 255), 1)\n",
|
||||
"\n",
|
||||
" cv2.putText(image, \"Frame: \" + str(framenumber) + ' of ' + str(frames_count), (0, 75), cv2.FONT_HERSHEY_SIMPLEX,\n",
|
||||
" .5, (0, 170, 0), 1)\n",
|
||||
" # menampilkan frame saat ini dan total frame\n",
|
||||
" cv2.putText(image, \"Frame: \" + str(framenumber) + ' dari ' + str(frames_count), (0, 45), cv2.FONT_HERSHEY_SIMPLEX,\n",
|
||||
" .5, (255, 255, 255), 1)\n",
|
||||
"\n",
|
||||
" cv2.putText(image, 'Time: ' + str(round(framenumber / fps, 2)) + ' sec of ' + str(round(frames_count / fps, 2))\n",
|
||||
" + ' sec', (0, 90), cv2.FONT_HERSHEY_SIMPLEX, .5, (0, 170, 0), 1)\n",
|
||||
" # menampilkan waktu yang sudah berlalu dan total waktu\n",
|
||||
" cv2.putText(image, 'Waktu: ' + str(round(framenumber / fps, 2)) + ' detik dari ' + str(round(frames_count / fps, 2))\n",
|
||||
" + ' detik', (0, 60), cv2.FONT_HERSHEY_SIMPLEX, .6, (255, 255, 0), 1)\n",
|
||||
"\n",
|
||||
" # displays images and transformations\n",
|
||||
" cv2.imshow(\"countours\", image)\n",
|
||||
" cv2.moveWindow(\"countours\", 0, 0)\n",
|
||||
" # menampilkan images dan transformasi\n",
|
||||
" cv2.imshow(\"Output\", image)\n",
|
||||
" cv2.moveWindow(\"Output\", 0, 0)\n",
|
||||
"\n",
|
||||
" cv2.imshow(\"fgmask\", fgmask)\n",
|
||||
" cv2.moveWindow(\"fgmask\", int(width * ratio), 0)\n",
|
||||
" cv2.imshow(\"gray\", gray)\n",
|
||||
" cv2.moveWindow(\"gray\", int(width * ratio), 0)\n",
|
||||
"\n",
|
||||
" cv2.imshow(\"closing\", closing)\n",
|
||||
" cv2.moveWindow(\"closing\", width, 0)\n",
|
||||
"\n",
|
||||
" cv2.imshow(\"opening\", opening)\n",
|
||||
" cv2.moveWindow(\"opening\", 0, int(height * ratio))\n",
|
||||
" # cv2.imshow(\"opening\", opening)\n",
|
||||
" # cv2.moveWindow(\"opening\", 0, int(height * ratio))\n",
|
||||
"\n",
|
||||
" cv2.imshow(\"dilation\", dilation)\n",
|
||||
" cv2.moveWindow(\"dilation\", int(width * ratio), int(height * ratio))\n",
|
||||
" # cv2.imshow(\"dilation\", dilation)\n",
|
||||
" # cv2.moveWindow(\"dilation\", int(width * ratio), int(height * ratio))\n",
|
||||
"\n",
|
||||
" cv2.imshow(\"binary\", bins)\n",
|
||||
" cv2.moveWindow(\"binary\", width, int(height * ratio))\n",
|
||||
" # cv2.imshow(\"binary\", bins)\n",
|
||||
" # cv2.moveWindow(\"binary\", width, int(height * ratio))\n",
|
||||
"\n",
|
||||
" # video.write(image) # save the current image to video file from earlier\n",
|
||||
"\n",
|
||||
" # adds to framecount\n",
|
||||
" framenumber = framenumber + 1\n",
|
||||
"\n",
|
||||
" k = cv2.waitKey(int(1000/fps)) & 0xff # int(1000/fps) is normal speed since waitkey is in ms\n",
|
||||
" if k == 27:\n",
|
||||
" # Menunggu key dari user dalam milidetik, fps adalah frame per detik, dan 0xff adalah binary\n",
|
||||
" # bahasa indonesia: Menunggu key dari user dalam milidetik\n",
|
||||
" k = cv2.waitKey(int(1000/fps)) & 0xff \n",
|
||||
" if k == 27: # bahasa indonesia: Jika key nya adalah 27 (ESC) maka break loop\n",
|
||||
" break\n",
|
||||
"\n",
|
||||
" else: # if video is finished then break loop\n",
|
||||
" else: # bahasa indonesia: Jika video selesai maka break loop\n",
|
||||
"\n",
|
||||
" break\n"
|
||||
"\n",
|
||||
" break\n",
|
||||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "d0ecd4ba-d8bd-4450-838a-c539dbe5c6b4",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"## Menutup Window OpenCV"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "78a5686d-3899-4dac-a95c-cff992ac52ba",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"print(kenderaan_kiri)\n",
|
||||
"print(kenderaan_kanan)"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
|
|
|||
|
|
@ -2,7 +2,7 @@
|
|||
"cells": [
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 13,
|
||||
"id": "f90cb956-250b-454e-855e-fefcd0ff880a",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
|
|
@ -12,7 +12,7 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 1,
|
||||
"execution_count": 14,
|
||||
"id": "93b77493-0a01-4421-b2a0-380991740ff6",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
|
|
@ -20,12 +20,25 @@
|
|||
"import numpy as np\n",
|
||||
"import cv2\n",
|
||||
"import pandas as pd\n",
|
||||
"\n"
|
||||
"\n",
|
||||
"jumlah_kenderaan = 0\n",
|
||||
"kenderaan_kiri = 0\n",
|
||||
"kenderaan_kanan = 0"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 2,
|
||||
"execution_count": 15,
|
||||
"id": "8d8696ea-4af1-4aa9-96cb-ff4538242ab5",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"## Deklarasi Variable"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 16,
|
||||
"id": "80b4ff7c-1f3b-4e1d-896c-d88c0966f33e",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
|
|
@ -33,12 +46,12 @@
|
|||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"6868.0 30.03550936578534 848 478\n"
|
||||
"3467.0 30.036135194663093 848 478\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"cap = cv2.VideoCapture('video/video.mp4')\n",
|
||||
"cap = cv2.VideoCapture('video/malam.mp4')\n",
|
||||
"frames_count, fps, width, height = cap.get(cv2.CAP_PROP_FRAME_COUNT), cap.get(cv2.CAP_PROP_FPS), cap.get(\n",
|
||||
" cv2.CAP_PROP_FRAME_WIDTH), cap.get(cv2.CAP_PROP_FRAME_HEIGHT)\n",
|
||||
"width = int(width)\n",
|
||||
|
|
@ -68,10 +81,504 @@
|
|||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "1c53be2e-1fc0-46af-b8dd-84cd6b1dffdb",
|
||||
"execution_count": 17,
|
||||
"id": "1c2cd208-3d36-4e1d-9376-5e1d223bd021",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"## Proses Video "
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 18,
|
||||
"id": "1c53be2e-1fc0-46af-b8dd-84cd6b1dffdb",
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stderr",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:178: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n",
|
||||
"/var/folders/9r/fngx7sv11bl1k4rvtyflv1pw0000gn/T/ipykernel_65183/953859291.py:168: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()`\n",
|
||||
" df[str(totalcars)] = \"\" # membuat kolom baru untuk mobil baru yang tercatat\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"ename": "KeyboardInterrupt",
|
||||
"evalue": "",
|
||||
"output_type": "error",
|
||||
"traceback": [
|
||||
"\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
|
||||
"\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
|
||||
"Cell \u001b[0;32mIn[18], line 123\u001b[0m\n\u001b[1;32m 120\u001b[0m oldcxcy \u001b[38;5;241m=\u001b[39m df\u001b[38;5;241m.\u001b[39miloc[\u001b[38;5;28mint\u001b[39m(framenumber \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m)][\u001b[38;5;28mstr\u001b[39m(carids[j])]\n\u001b[1;32m 122\u001b[0m \u001b[38;5;66;03m# mengambil centroid dari frame sekarang yang tidak selalu sesuai dengan centroid dari frame sebelumnya\u001b[39;00m\n\u001b[0;32m--> 123\u001b[0m curcxcy \u001b[38;5;241m=\u001b[39m \u001b[43mnp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43marray\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[43mcxx\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcyy\u001b[49m\u001b[43m[\u001b[49m\u001b[43mi\u001b[49m\u001b[43m]\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 125\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m oldcxcy: \u001b[38;5;66;03m# jika centroid dari frame sebelumnya kosong karena mobil keluar layar\u001b[39;00m\n\u001b[1;32m 127\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m \u001b[38;5;66;03m# lanjutkan ke id mobil selanjutnya\u001b[39;00m\n",
|
||||
"\u001b[0;31mKeyboardInterrupt\u001b[0m: "
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"while True:\n",
|
||||
"\n",
|
||||
|
|
@ -305,6 +812,7 @@
|
|||
" currentcarsindex[i]] not in caridscrossed:\n",
|
||||
"\n",
|
||||
" carscrossedup = carscrossedup + 1\n",
|
||||
" kenderaan_kiri = carscrossedup\n",
|
||||
" cv2.line(image, (0, lineypos2), (width, lineypos2), (0, 0, 255), 5)\n",
|
||||
" caridscrossed.append(\n",
|
||||
" currentcarsindex[i]) # Tambahkan id mobil ke daftar mobil yang dihitung untuk mencegah penghitungan dua kali\n",
|
||||
|
|
@ -315,6 +823,7 @@
|
|||
" currentcarsindex[i]] not in caridscrossed:\n",
|
||||
"\n",
|
||||
" carscrosseddown = carscrosseddown + 1\n",
|
||||
" kenderaan_kanan = carscrosseddown\n",
|
||||
" cv2.line(image, (0, lineypos2), (width, lineypos2), (0, 0, 125), 5)\n",
|
||||
" caridscrossed.append(currentcarsindex[i])\n",
|
||||
"\n",
|
||||
|
|
@ -324,7 +833,7 @@
|
|||
"\n",
|
||||
" # menampilkan jumlah mobil yang melintasi bawah\n",
|
||||
" cv2.putText(image, \"Mobil yang Melintasi Bawah: \" + str(carscrosseddown), (0, 30), cv2.FONT_HERSHEY_SIMPLEX, .5,\n",
|
||||
" (255, 255, 255), 1)\n",
|
||||
" (255, 255, 0), 1)\n",
|
||||
"\n",
|
||||
" # # menampilkan jumlah total mobil yang terdeteksi\n",
|
||||
" # cv2.putText(image, \"Total Mobil yang Terdeteksi: \" + str(len(carids)), (0, 60), cv2.FONT_HERSHEY_SIMPLEX, .5,\n",
|
||||
|
|
@ -336,7 +845,7 @@
|
|||
"\n",
|
||||
" # menampilkan waktu yang sudah berlalu dan total waktu\n",
|
||||
" cv2.putText(image, 'Waktu: ' + str(round(framenumber / fps, 2)) + ' detik dari ' + str(round(frames_count / fps, 2))\n",
|
||||
" + ' detik', (0, 60), cv2.FONT_HERSHEY_SIMPLEX, .5, (255, 255, 255), 1)\n",
|
||||
" + ' detik', (0, 60), cv2.FONT_HERSHEY_SIMPLEX, .6, (255, 255, 0), 1)\n",
|
||||
"\n",
|
||||
" # menampilkan images dan transformasi\n",
|
||||
" cv2.imshow(\"Output\", image)\n",
|
||||
|
|
@ -374,6 +883,27 @@
|
|||
"\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "d0ecd4ba-d8bd-4450-838a-c539dbe5c6b4",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"## Menutup Window OpenCV"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"id": "78a5686d-3899-4dac-a95c-cff992ac52ba",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
"print(kenderaan_kiri)\n",
|
||||
"print(kenderaan_kanan)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
|
|
|
|||
45
app.py
45
app.py
|
|
@ -170,7 +170,7 @@ def generate_frames2(video, threshold,stat):
|
|||
ratio = .5 # resize ratio
|
||||
image = cv2.resize(frame, (0, 0), None, ratio, ratio) # resize image
|
||||
width2, height2, channels = image.shape
|
||||
video = cv2.VideoWriter('traffic_counter.avi', cv2.VideoWriter_fourcc('M', 'J', 'P', 'G'), fps, (height2, width2), 1)
|
||||
# video = cv2.VideoWriter('traffic_counter.avi', cv2.VideoWriter_fourcc('M', 'J', 'P', 'G'), fps, (height2, width2), 1)
|
||||
|
||||
while True:
|
||||
|
||||
|
|
@ -199,18 +199,18 @@ def generate_frames2(video, threshold,stat):
|
|||
hull = [cv2.convexHull(c) for c in contours]
|
||||
|
||||
# draw contours
|
||||
cv2.drawContours(image, hull, -1, (0, 255, 0), 3)
|
||||
# cv2.drawContours(image, hull, -1, (0, 255, 0), 3)
|
||||
|
||||
# line created to stop counting contours, needed as cars in distance become one big contour
|
||||
lineypos = 100
|
||||
cv2.line(image, (0, lineypos), (width, lineypos), (255, 0, 0), 5)
|
||||
lineypos = 125
|
||||
# cv2.line(image, (0, lineypos), (width, lineypos), (255, 0, 0), 5)
|
||||
|
||||
# line y position created to count contours
|
||||
lineypos2 = 125
|
||||
lineypos2 = 150
|
||||
cv2.line(image, (0, lineypos2), (width, lineypos2), (0, 255, 0), 5)
|
||||
|
||||
# min area for contours in case a bunch of small noise contours are created
|
||||
minarea = 400
|
||||
minarea = 175
|
||||
|
||||
# max area for contours, can be quite large for buses
|
||||
maxarea = 50000
|
||||
|
|
@ -382,8 +382,8 @@ def generate_frames2(video, threshold,stat):
|
|||
cv2.putText(image, "Centroid" + str(curcent[0]) + "," + str(curcent[1]),
|
||||
(int(curcent[0]), int(curcent[1])), cv2.FONT_HERSHEY_SIMPLEX, .5, (0, 255, 255), 2)
|
||||
|
||||
cv2.putText(image, "ID:" + str(carids[currentcarsindex[i]]), (int(curcent[0]), int(curcent[1] - 15)),
|
||||
cv2.FONT_HERSHEY_SIMPLEX, .5, (0, 255, 255), 2)
|
||||
# cv2.putText(image, "ID:" + str(carids[currentcarsindex[i]]), (int(curcent[0]), int(curcent[1] - 15)),
|
||||
# cv2.FONT_HERSHEY_SIMPLEX, .5, (0, 255, 255), 2)
|
||||
|
||||
cv2.drawMarker(image, (int(curcent[0]), int(curcent[1])), (0, 0, 255), cv2.MARKER_STAR, markerSize=5,
|
||||
thickness=1, line_type=cv2.LINE_AA)
|
||||
|
|
@ -402,6 +402,7 @@ def generate_frames2(video, threshold,stat):
|
|||
currentcarsindex[i]] not in caridscrossed:
|
||||
|
||||
carscrossedup = carscrossedup + 1
|
||||
kenderaan_kiri = carscrossedup
|
||||
cv2.line(image, (0, lineypos2), (width, lineypos2), (0, 0, 255), 5)
|
||||
caridscrossed.append(
|
||||
currentcarsindex[i]) # adds car id to list of count cars to prevent double counting
|
||||
|
|
@ -412,30 +413,32 @@ def generate_frames2(video, threshold,stat):
|
|||
currentcarsindex[i]] not in caridscrossed:
|
||||
|
||||
carscrosseddown = carscrosseddown + 1
|
||||
kenderaan_kanan = carscrosseddown
|
||||
cv2.line(image, (0, lineypos2), (width, lineypos2), (0, 0, 125), 5)
|
||||
caridscrossed.append(currentcarsindex[i])
|
||||
jumlah_kenderaan = carscrossedup + carscrosseddown
|
||||
|
||||
# Top left hand corner on-screen text
|
||||
#cv2.rectangle(image, (0, 0), (250, 100), (255, 0, 0), -1) # background rectangle for on-screen text
|
||||
|
||||
cv2.putText(image, "Kenderaan Sebelah Kiri: " + str(carscrossedup), (0, 15), cv2.FONT_HERSHEY_SIMPLEX, .5, (0, 170, 0),
|
||||
1)
|
||||
cv2.putText(image, "Kenderaan Sebelah Kiri: " + str(carscrossedup), (0, 20), cv2.FONT_HERSHEY_SIMPLEX, .7, (255,255,255),
|
||||
4)
|
||||
|
||||
cv2.putText(image, "Kenderaan Sebelah Kanan: " + str(carscrosseddown), (0, 30), cv2.FONT_HERSHEY_SIMPLEX, .5,
|
||||
(0, 170, 0), 1)
|
||||
cv2.putText(image, "Kenderaan Sebelah Kanan: " + str(carscrosseddown), (0, 45), cv2.FONT_HERSHEY_SIMPLEX, .7,
|
||||
(255,255,255), 4)
|
||||
|
||||
# cv2.putText(image, "Total Cars Detected: " + str(len(carids)), (0, 60), cv2.FONT_HERSHEY_SIMPLEX, .5,
|
||||
# (0, 170, 0), 1)
|
||||
# (255,255,255), 1)
|
||||
|
||||
cv2.putText(image, "Frame: " + str(framenumber) + ' dari ' + str(frames_count), (0, 45), cv2.FONT_HERSHEY_SIMPLEX,
|
||||
.5, (0, 170, 0), 1)
|
||||
cv2.putText(image, "Frame: " + str(framenumber) + ' dari ' + str(frames_count), (0, 60), cv2.FONT_HERSHEY_SIMPLEX,
|
||||
.5, (255,255,255), 1)
|
||||
|
||||
cv2.putText(image, 'Waktu: ' + str(round(framenumber / fps, 2)) + ' detik dari ' + str(round(frames_count / fps, 2))
|
||||
+ ' detik', (0, 60), cv2.FONT_HERSHEY_SIMPLEX, .5, (0, 170, 0), 1)
|
||||
+ ' detik', (0, 75), cv2.FONT_HERSHEY_SIMPLEX, .5, (255,255,255), 1)
|
||||
|
||||
|
||||
|
||||
|
||||
kenderaan_kanan = carscrosseddown
|
||||
kenderaan_kiri = carscrossedup
|
||||
jumlah_kenderaan = carscrossedup + carscrosseddown
|
||||
|
||||
# displays images and transformations and resize to 1280x720
|
||||
# cv2.imshow("countours", image)
|
||||
|
|
@ -456,7 +459,7 @@ def generate_frames2(video, threshold,stat):
|
|||
# cv2.moveWindow("closing", width, 0)
|
||||
elif stat == 'detectar':
|
||||
# frame_to_encode = closing
|
||||
frame_to_encode = cv2.resize(closing, (1280, 720))
|
||||
frame_to_encode = cv2.resize(bins, (1280, 720))
|
||||
else :
|
||||
# frame_to_encode = opening
|
||||
frame_to_encode = cv2.resize(frame, (1280, 720))
|
||||
|
|
@ -490,7 +493,7 @@ def generate_frames2(video, threshold,stat):
|
|||
break
|
||||
|
||||
cap.release()
|
||||
|
||||
cv2.destroyAllWindows()
|
||||
|
||||
|
||||
|
||||
|
|
|
|||
13
main3.py
13
main3.py
|
|
@ -304,14 +304,14 @@ while True:
|
|||
cv2.imshow("closing", closing)
|
||||
cv2.moveWindow("closing", width, 0)
|
||||
|
||||
# cv2.imshow("opening", opening)
|
||||
# cv2.moveWindow("opening", 0, int(height * ratio))
|
||||
cv2.imshow("opening", opening)
|
||||
cv2.moveWindow("opening", 0, int(height * ratio))
|
||||
|
||||
# cv2.imshow("dilation", dilation)
|
||||
# cv2.moveWindow("dilation", int(width * ratio), int(height * ratio))
|
||||
cv2.imshow("dilation", dilation)
|
||||
cv2.moveWindow("dilation", int(width * ratio), int(height * ratio))
|
||||
|
||||
# cv2.imshow("binary", bins)
|
||||
# cv2.moveWindow("binary", width, int(height * ratio))
|
||||
cv2.imshow("binary", bins)
|
||||
cv2.moveWindow("binary", width, int(height * ratio))
|
||||
|
||||
|
||||
# adds to framecount
|
||||
|
|
@ -328,6 +328,7 @@ while True:
|
|||
|
||||
break
|
||||
|
||||
|
||||
cap.release()
|
||||
cv2.destroyAllWindows()
|
||||
|
||||
|
|
|
|||
|
|
@ -160,7 +160,7 @@
|
|||
<div class="col-lg-4 col-md-4 col-xs-12">
|
||||
<div class="box-content">
|
||||
<div class="statistics-box with-icon">
|
||||
<i class="ico fa fa-car text-info"></i>
|
||||
<!-- <i class="ico fa fa-car text-info"></i> -->
|
||||
<h2 class="counter text-info" id="kiri">...</h2>
|
||||
<p class="text">Kenderaan Kiri</p>
|
||||
</div>
|
||||
|
|
@ -170,7 +170,7 @@
|
|||
<div class="col-lg-4 col-md-4 col-xs-12">
|
||||
<div class="box-content">
|
||||
<div class="statistics-box with-icon">
|
||||
<i class="ico fa fa-car text-info"></i>
|
||||
<!-- <i class="ico fa fa-car text-info"></i> -->
|
||||
<h2 class="counter text-info" id="kanan">...</h2>
|
||||
<p class="text">Kenedraan Kanan</p>
|
||||
</div>
|
||||
|
|
@ -180,7 +180,7 @@
|
|||
<div class="col-lg-4 col-md-4 col-xs-12">
|
||||
<div class="box-content">
|
||||
<div class="statistics-box with-icon">
|
||||
<i class="ico fa fa-car text-info"></i>
|
||||
<!-- <i class="ico fa fa-car text-info"></i> -->
|
||||
<h2 class="counter text-info" id="total">...</h2>
|
||||
<p class="text">Jumlah Kenderaan</p>
|
||||
</div>
|
||||
|
|
|
|||
Loading…
Reference in New Issue