From d63dd1da7de0d0dc181c74fa32b9d4bf7b56c5d1 Mon Sep 17 00:00:00 2001 From: Pavanmahaveer Singara <79128839+Pavanmahaveer7@users.noreply.github.com> Date: Wed, 13 Dec 2023 18:28:14 -0600 Subject: [PATCH] Add files via upload --- Transportation_Data_California.ipynb | 1237 ++++++++++++++++++++++++++ 1 file changed, 1237 insertions(+) create mode 100644 Transportation_Data_California.ipynb diff --git a/Transportation_Data_California.ipynb b/Transportation_Data_California.ipynb new file mode 100644 index 0000000..569c230 --- /dev/null +++ b/Transportation_Data_California.ipynb @@ -0,0 +1,1237 @@ +{ + "nbformat": 4, + "nbformat_minor": 0, + "metadata": { + "colab": { + "provenance": [] + }, + "kernelspec": { + "name": "python3", + "display_name": "Python 3" + }, + "language_info": { + "name": "python" + } + }, + "cells": [ + { + "cell_type": "code", + "execution_count": 2, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 304 + }, + "id": "FyVv9q1zmDnh", + "outputId": "6e1f07ef-d4aa-478c-bb0e-008e4a2e0a03" + }, + "outputs": [ + { + "output_type": "error", + "ename": "UnicodeDecodeError", + "evalue": "ignored", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mUnicodeDecodeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;31m# Load the dataset (replace 'data.csv' with your actual file name)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34mr'/content/transportation-to-work-1.xlsx'\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;31m# Display basic information about the dataset\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 209\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 210\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnew_arg_name\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_arg_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 211\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 212\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 213\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mF\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 329\u001b[0m \u001b[0mstacklevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfind_stack_level\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 330\u001b[0m )\n\u001b[0;32m--> 331\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 332\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 333\u001b[0m \u001b[0;31m# error: \"Callable[[VarArg(Any), KwArg(Any)], Any]\" has no\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)\u001b[0m\n\u001b[1;32m 948\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwds_defaults\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 949\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 950\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 951\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 952\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 603\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 604\u001b[0m \u001b[0;31m# Create the parser.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 605\u001b[0;31m \u001b[0mparser\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mTextFileReader\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 606\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 607\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mchunksize\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0miterator\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, f, engine, **kwds)\u001b[0m\n\u001b[1;32m 1440\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1441\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhandles\u001b[0m\u001b[0;34m:\u001b[0m \u001b[0mIOHandles\u001b[0m \u001b[0;34m|\u001b[0m \u001b[0;32mNone\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1442\u001b[0;31m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_make_engine\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mf\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mengine\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1443\u001b[0m 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\u001b[0;34m**\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0moptions\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1754\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1755\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mhandles\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/c_parser_wrapper.py\u001b[0m in \u001b[0;36m__init__\u001b[0;34m(self, src, **kwds)\u001b[0m\n\u001b[1;32m 77\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 78\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m\"dtype\"\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m 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\u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0munnamed_cols\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.__cinit__\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._get_header\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._tokenize_rows\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.raise_parser_error\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mUnicodeDecodeError\u001b[0m: 'utf-8' codec can't decode byte 0xa9 in position 14: invalid start byte" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# Load the dataset (replace 'data.csv' with your actual file name)\n", + "data = pd.read_csv(r'/content/transportation-to-work-1.xlsx')\n", + "\n", + "# Display basic information about the dataset\n", + "print(data.info())\n", + "\n", + "# Show the first few rows to understand the columns and values\n", + "print(data.head())\n" + ] + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "\n", + "# Try reading the file with different encoding formats\n", + "encodings = ['utf-8', 'latin1', 'ISO-8859-1']\n", + "\n", + "for encoding in encodings:\n", + " try:\n", + " data = pd.read_csv('/content/transportation-to-work-1.xlsx', encoding=encoding)\n", + " print(\"File read successfully using encoding:\", encoding)\n", + " # Perform your analysis or print data.info() to check if it's loaded correctly\n", + " break # Exit the loop if the file is read successfully\n", + " except UnicodeDecodeError:\n", + " print(\"Failed to read with encoding:\", encoding)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 304 + }, + "id": "OAjHouiknbwe", + "outputId": "c9eb4005-60d2-46c7-b6fb-c0de1342c6e3" + }, + "execution_count": 3, + "outputs": [ + { + "output_type": "error", + "ename": "ParserError", + "evalue": "ignored", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mParserError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mencoding\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mencodings\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 8\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/transportation-to-work-1.xlsx'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mencoding\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 9\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"File read successfully using encoding:\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 10\u001b[0m \u001b[0;31m# Perform your analysis or print data.info() to check if it's loaded correctly\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 209\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 210\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnew_arg_name\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_arg_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 211\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 212\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 213\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mF\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 329\u001b[0m \u001b[0mstacklevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfind_stack_level\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 330\u001b[0m )\n\u001b[0;32m--> 331\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 332\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 333\u001b[0m \u001b[0;31m# error: \"Callable[[VarArg(Any), KwArg(Any)], Any]\" has no\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)\u001b[0m\n\u001b[1;32m 948\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwds_defaults\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 949\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 950\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 951\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 952\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 609\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 610\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mparser\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 611\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnrows\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 612\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 613\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, nrows)\u001b[0m\n\u001b[1;32m 1776\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1777\u001b[0m \u001b[0mcol_dict\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1778\u001b[0;31m \u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m \u001b[0;31m# type: ignore[attr-defined]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1779\u001b[0m \u001b[0mnrows\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1780\u001b[0m )\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/c_parser_wrapper.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, nrows)\u001b[0m\n\u001b[1;32m 228\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 229\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlow_memory\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 230\u001b[0;31m \u001b[0mchunks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_low_memory\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnrows\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 231\u001b[0m \u001b[0;31m# destructive to chunks\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 232\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_concatenate_chunks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.read_low_memory\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._read_rows\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._tokenize_rows\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.raise_parser_error\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mParserError\u001b[0m: Error tokenizing data. C error: Expected 3 fields in line 42, saw 4\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "with open('/content/transportation-to-work-1.xlsx', 'r') as file:\n", + " lines = file.readlines()\n", + "\n", + "# Print line 42 to identify the issue\n", + "print(lines[41]) # Python uses 0-based indexing, so line 42 is at index 41\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 367 + }, + "id": "vfQm8DrKn9nI", + "outputId": "40586e35-e5fa-4b16-e705-64ad54d19f20" + }, + "execution_count": 4, + "outputs": [ + { + "output_type": "error", + "ename": "UnicodeDecodeError", + "evalue": "ignored", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mUnicodeDecodeError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/transportation-to-work-1.xlsx'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'r'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mfile\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mlines\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mfile\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mreadlines\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[0;31m# Print line 42 to identify the issue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 5\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlines\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m41\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;31m# Python uses 0-based indexing, so line 42 is at index 41\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/lib/python3.10/codecs.py\u001b[0m in \u001b[0;36mdecode\u001b[0;34m(self, input, final)\u001b[0m\n\u001b[1;32m 320\u001b[0m \u001b[0;31m# decode input (taking the buffer into account)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 321\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuffer\u001b[0m \u001b[0;34m+\u001b[0m \u001b[0minput\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 322\u001b[0;31m \u001b[0;34m(\u001b[0m\u001b[0mresult\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mconsumed\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_buffer_decode\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0merrors\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfinal\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 323\u001b[0m \u001b[0;31m# keep undecoded input until the next call\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 324\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mbuffer\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mconsumed\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mUnicodeDecodeError\u001b[0m: 'utf-8' codec can't decode byte 0xa9 in position 14: invalid start byte" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "\n", + "# Read the CSV file while skipping line 42 and specifying UTF-8 encoding\n", + "data = pd.read_csv('/content/transportation-to-work-1.xlsx', encoding='utf-8', error_bad_lines=False, skiprows=[41])\n", + "\n", + "# Check the loaded data\n", + "print(data.info())\n", + "# Perform your analysis or further processing with the loaded DataFrame\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "id": "bv0P4ipPoW1C", + "outputId": "fd4dd2cc-cbb0-4830-e081-242074124099" + }, + "execution_count": 5, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":4: FutureWarning: The error_bad_lines argument has been deprecated and will be removed in a future version. Use on_bad_lines in the future.\n", + "\n", + "\n", + " data = pd.read_csv('/content/transportation-to-work-1.xlsx', encoding='utf-8', error_bad_lines=False, skiprows=[41])\n", + "Skipping line 97: expected 3 fields, saw 4\n", + "Skipping line 118: expected 3 fields, saw 4\n", + "Skipping line 121: expected 3 fields, saw 4\n", + "Skipping line 125: expected 3 fields, saw 5\n", + "Skipping line 171: expected 3 fields, saw 4\n", + "Skipping line 196: expected 3 fields, saw 4\n", + "Skipping line 212: expected 3 fields, saw 5\n", + "Skipping line 219: expected 3 fields, saw 4\n", + "Skipping line 243: expected 3 fields, saw 4\n", + "Skipping line 244: expected 3 fields, saw 5\n", + "Skipping line 285: expected 3 fields, saw 10\n", + "Skipping line 288: expected 3 fields, saw 4\n", + "Skipping line 289: expected 3 fields, saw 4\n", + "Skipping line 290: expected 3 fields, saw 12\n", + "Skipping line 291: expected 3 fields, saw 22\n", + "Skipping line 316: expected 3 fields, saw 4\n", + "Skipping line 433: expected 3 fields, saw 4\n", + "Skipping line 530: expected 3 fields, saw 6\n", + "Skipping line 534: expected 3 fields, saw 6\n", + "Skipping line 538: expected 3 fields, saw 8\n", + "Skipping line 543: expected 3 fields, saw 4\n", + "Skipping line 553: expected 3 fields, saw 4\n", + "Skipping line 560: expected 3 fields, saw 5\n", + "Skipping line 579: expected 3 fields, saw 4\n", + "Skipping line 590: expected 3 fields, saw 4\n", + "Skipping line 596: expected 3 fields, saw 4\n", + "Skipping line 599: expected 3 fields, saw 4\n", + "Skipping line 604: expected 3 fields, saw 8\n", + "Skipping line 607: expected 3 fields, saw 4\n", + "Skipping line 613: expected 3 fields, saw 8\n", + "Skipping line 637: expected 3 fields, saw 5\n", + "Skipping line 655: expected 3 fields, saw 4\n", + "Skipping line 668: expected 3 fields, saw 4\n", + "Skipping line 679: expected 3 fields, saw 4\n", + "Skipping line 684: expected 3 fields, saw 4\n", + "Skipping line 688: expected 3 fields, saw 4\n", + "Skipping line 698: expected 3 fields, saw 6\n", + "Skipping line 715: expected 3 fields, saw 4\n", + "Skipping line 728: expected 3 fields, saw 4\n", + "Skipping line 786: expected 3 fields, saw 4\n", + "Skipping line 788: expected 3 fields, saw 4\n", + "Skipping line 795: expected 3 fields, saw 7\n", + "Skipping line 804: expected 3 fields, saw 4\n", + "Skipping line 809: expected 3 fields, saw 8\n", + "Skipping line 813: expected 3 fields, saw 4\n", + "Skipping line 843: expected 3 fields, saw 4\n", + "Skipping line 875: expected 3 fields, saw 5\n", + "Skipping line 901: expected 3 fields, saw 4\n", + "\n" + ] + }, + { + "output_type": "error", + "ename": "ParserError", + "evalue": "ignored", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mParserError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 2\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3\u001b[0m \u001b[0;31m# Read the CSV file while skipping line 42 and specifying UTF-8 encoding\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_csv\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'/content/transportation-to-work-1.xlsx'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mencoding\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'utf-8'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merror_bad_lines\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mskiprows\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m41\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 6\u001b[0m \u001b[0;31m# Check the loaded data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 209\u001b[0m \u001b[0;32melse\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 210\u001b[0m \u001b[0mkwargs\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mnew_arg_name\u001b[0m\u001b[0;34m]\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnew_arg_value\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 211\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 212\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 213\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mcast\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mF\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mwrapper\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/util/_decorators.py\u001b[0m in \u001b[0;36mwrapper\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m 329\u001b[0m \u001b[0mstacklevel\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mfind_stack_level\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 330\u001b[0m )\n\u001b[0;32m--> 331\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mfunc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m*\u001b[0m\u001b[0margs\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 332\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 333\u001b[0m \u001b[0;31m# error: \"Callable[[VarArg(Any), KwArg(Any)], Any]\" has no\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36mread_csv\u001b[0;34m(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options)\u001b[0m\n\u001b[1;32m 948\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkwds_defaults\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 949\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 950\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0m_read\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilepath_or_buffer\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mkwds\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 951\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 952\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36m_read\u001b[0;34m(filepath_or_buffer, kwds)\u001b[0m\n\u001b[1;32m 609\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 610\u001b[0m \u001b[0;32mwith\u001b[0m \u001b[0mparser\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 611\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mparser\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnrows\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 612\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 613\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/readers.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, nrows)\u001b[0m\n\u001b[1;32m 1776\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1777\u001b[0m \u001b[0mcol_dict\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1778\u001b[0;31m \u001b[0;34m)\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread\u001b[0m\u001b[0;34m(\u001b[0m \u001b[0;31m# type: ignore[attr-defined]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1779\u001b[0m \u001b[0mnrows\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1780\u001b[0m )\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/io/parsers/c_parser_wrapper.py\u001b[0m in \u001b[0;36mread\u001b[0;34m(self, nrows)\u001b[0m\n\u001b[1;32m 228\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 229\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlow_memory\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 230\u001b[0;31m \u001b[0mchunks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_reader\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mread_low_memory\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnrows\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 231\u001b[0m \u001b[0;31m# destructive to chunks\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 232\u001b[0m \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_concatenate_chunks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mchunks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader.read_low_memory\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._read_rows\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.TextReader._tokenize_rows\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/parsers.pyx\u001b[0m in \u001b[0;36mpandas._libs.parsers.raise_parser_error\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mParserError\u001b[0m: Error tokenizing data. C error: Buffer overflow caught - possible malformed input file.\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "\n", + "try:\n", + " data = pd.read_csv('/content/transportation-to-work-1.xlsx', encoding='utf-8',error_bad_lines=False)\n", + "except pd.errors.ParserError as e:\n", + " print(\"ParserError:\", e)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "TrSNi_-ppi9I", + "outputId": "d05d67f3-d286-4c7a-b2e5-ca14e7e6b21e" + }, + "execution_count": 7, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "ParserError: Error tokenizing data. C error: Buffer overflow caught - possible malformed input file.\n", + "\n" + ] + }, + { + "output_type": "stream", + "name": "stderr", + "text": [ + ":4: FutureWarning: The error_bad_lines argument has been deprecated and will be removed in a future version. Use on_bad_lines in the future.\n", + "\n", + "\n", + " data = pd.read_csv('/content/transportation-to-work-1.xlsx', encoding='utf-8',error_bad_lines=False)\n", + "Skipping line 42: expected 3 fields, saw 4\n", + "Skipping line 97: expected 3 fields, saw 4\n", + "Skipping line 118: expected 3 fields, saw 4\n", + "Skipping line 121: expected 3 fields, saw 4\n", + "Skipping line 125: expected 3 fields, saw 5\n", + "Skipping line 171: expected 3 fields, saw 4\n", + "Skipping line 196: expected 3 fields, saw 4\n", + "Skipping line 212: expected 3 fields, saw 5\n", + "Skipping line 219: expected 3 fields, saw 4\n", + "Skipping line 243: expected 3 fields, saw 4\n", + "Skipping line 244: expected 3 fields, saw 5\n", + "Skipping line 285: expected 3 fields, saw 10\n", + "Skipping line 288: expected 3 fields, saw 4\n", + "Skipping line 289: expected 3 fields, saw 4\n", + "Skipping line 290: expected 3 fields, saw 12\n", + "Skipping line 291: expected 3 fields, saw 22\n", + "Skipping line 316: expected 3 fields, saw 4\n", + "Skipping line 433: expected 3 fields, saw 4\n", + "Skipping line 530: expected 3 fields, saw 6\n", + "Skipping line 534: expected 3 fields, saw 6\n", + "Skipping line 538: expected 3 fields, saw 8\n", + "Skipping line 543: expected 3 fields, saw 4\n", + "Skipping line 553: expected 3 fields, saw 4\n", + "Skipping line 560: expected 3 fields, saw 5\n", + "Skipping line 579: expected 3 fields, saw 4\n", + "Skipping line 590: expected 3 fields, saw 4\n", + "Skipping line 596: expected 3 fields, saw 4\n", + "Skipping line 599: expected 3 fields, saw 4\n", + "Skipping line 604: expected 3 fields, saw 8\n", + "Skipping line 607: expected 3 fields, saw 4\n", + "Skipping line 613: expected 3 fields, saw 8\n", + "Skipping line 637: expected 3 fields, saw 5\n", + "Skipping line 655: expected 3 fields, saw 4\n", + "Skipping line 668: expected 3 fields, saw 4\n", + "Skipping line 679: expected 3 fields, saw 4\n", + "Skipping line 684: expected 3 fields, saw 4\n", + "Skipping line 688: expected 3 fields, saw 4\n", + "Skipping line 698: expected 3 fields, saw 6\n", + "Skipping line 715: expected 3 fields, saw 4\n", + "Skipping line 728: expected 3 fields, saw 4\n", + "Skipping line 786: expected 3 fields, saw 4\n", + "Skipping line 788: expected 3 fields, saw 4\n", + "Skipping line 795: expected 3 fields, saw 7\n", + "Skipping line 804: expected 3 fields, saw 4\n", + "Skipping line 809: expected 3 fields, saw 8\n", + "Skipping line 813: expected 3 fields, saw 4\n", + "Skipping line 843: expected 3 fields, saw 4\n", + "Skipping line 875: expected 3 fields, saw 5\n", + "Skipping line 901: expected 3 fields, saw 4\n", + "\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "\n", + "try:\n", + " # Load the Excel file into a DataFrame\n", + " data = pd.read_excel('/content/transportation-to-work-1.xlsx')\n", + "except pd.errors.ParserError as e:\n", + " print(\"ParserError:\", e)\n", + "\n", + "# Assuming 'problematic_rows_indices' contains indices of identified problematic rows\n", + "problematic_rows_indices = [42, 901, 875,843,813,809,803,795,788,786,728,715,698,688,118,121,125,171,196,212,219,243,244,285,288,289,290,291,316,433,530,534,538,543,553,560,579,590,596,599,604,607,613,637,655,668,679,684] # Replace with the actual indices\n", + "\n", + "# Create a new DataFrame excluding the problematic rows\n", + "clean_data = data[~data.index.isin(problematic_rows_indices)].copy()\n", + "\n", + "# Save the clean DataFrame to a new Excel file\n", + "clean_data.to_excel('/content/file.xlsx', index=False)\n" + ], + "metadata": { + "id": "zigCXyGoqc7b" + }, + "execution_count": 10, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import pandas as pd\n", + "\n", + "# Load the cleaned data into a DataFrame\n", + "clean_data = pd.read_excel('/content/file.xlsx')\n", + "\n", + "# Check the first few rows to ensure the data looks correct\n", + "print(clean_data.head())\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "-8KqOi6utoHU", + "outputId": "c384bbca-7b54-4b83-eb75-ce68f8ad0e7e" + }, + "execution_count": 11, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + " ind_id ind_definition reportyear \\\n", + "0 42 Percent of residents mode of transportation to... 2000 \n", + "1 42 Percent of residents mode of transportation to... 2000 \n", + "2 42 Percent of residents mode of transportation to... 2000 \n", + "3 42 Percent of residents mode of transportation to... 2000 \n", + "4 42 Percent of residents mode of transportation to... 2000 \n", + "\n", + " race_eth_code race_eth_name geotype geotypevalue geoname county_name \\\n", + "0 1.0 AIAN CA 6.0 California NaN \n", + "1 2.0 Asian CA 6.0 California NaN \n", + "2 3.0 AfricanAm CA 6.0 California NaN \n", + "3 4.0 Latino CA 6.0 California NaN \n", + "4 5.0 NHOPI CA 6.0 California NaN \n", + "\n", + " county_fips ... pop_total pop_mode percent LL95CI_percent \\\n", + "0 NaN ... 73560.0 2414.0 3.281675 NaN \n", + "1 NaN ... 1634923.0 42902.0 2.624099 NaN \n", + "2 NaN ... 797818.0 21348.0 2.675798 NaN \n", + "3 NaN ... 3865125.0 75246.0 1.946793 NaN \n", + "4 NaN ... 42880.0 1088.0 2.537313 NaN \n", + "\n", + " UL95CI_percent percent_se percent_rse CA_decile CA_RR \\\n", + "0 NaN NaN NaN NaN 0.855733 \n", + "1 NaN NaN NaN NaN 0.684263 \n", + "2 NaN NaN NaN NaN 0.697744 \n", + "3 NaN NaN NaN NaN 0.507648 \n", + "4 NaN NaN NaN NaN 0.661632 \n", + "\n", + " version \n", + "0 2013-12-12 15:40:44 \n", + "1 2013-12-12 15:40:44 \n", + "2 2013-12-12 15:40:44 \n", + "3 2013-12-12 15:40:44 \n", + "4 2013-12-12 15:40:44 \n", + "\n", + "[5 rows x 24 columns]\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Check for missing values\n", + "missing_values = clean_data.isnull().sum()\n", + "print(missing_values)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "2cmBW5JPv4Xh", + "outputId": "4e6d254a-a253-4d26-deff-c3589c9283bc" + }, + "execution_count": 12, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "ind_id 0\n", + "ind_definition 1\n", + "reportyear 1\n", + "race_eth_code 1\n", + "race_eth_name 1\n", + "geotype 1\n", + "geotypevalue 1\n", + "geoname 1\n", + "county_name 1901\n", + "county_fips 1901\n", + "region_name 112935\n", + "region_code 112935\n", + "mode 1\n", + "mode_name 1\n", + "pop_total 40846\n", + "pop_mode 40846\n", + "percent 40972\n", + "LL95CI_percent 112943\n", + "UL95CI_percent 112943\n", + "percent_se 112943\n", + "percent_rse 112794\n", + "CA_decile 194182\n", + "CA_RR 40972\n", + "version 1\n", + "dtype: int64\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "clean_data.shape" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "JemsNsy6wHXp", + "outputId": "711ca5b4-132d-4272-f8e2-e0e648edb56f" + }, + "execution_count": 13, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(202155, 24)" + ] + }, + "metadata": {}, + "execution_count": 13 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Define columns with high missing values\n", + "columns_to_drop = ['LL95CI_percent', 'UL95CI_percent', 'percent_se', 'percent_rse', 'CA_decile', 'region_name', 'region_code']\n", + "\n", + "# Drop columns with high missing values\n", + "clean_data.drop(columns=columns_to_drop, inplace=True, errors='ignore')\n" + ], + "metadata": { + "id": "FbXqh9_cwIw1" + }, + "execution_count": 14, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "clean_data.shape" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "ffPr42890bh-", + "outputId": "372a575e-ed2f-47a1-e27b-e355f1fa0a79" + }, + "execution_count": 15, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "(202155, 17)" + ] + }, + "metadata": {}, + "execution_count": 15 + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Check for duplicates\n", + "duplicate_rows = clean_data.duplicated()\n", + "print(f\"Number of duplicate rows: {duplicate_rows.sum()}\")\n", + "\n", + "# Remove duplicate rows\n", + "#clean_data.drop_duplicates(inplace=True)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "pQgRjw_x0dXY", + "outputId": "b7b539a4-bbe9-4feb-f457-eaeb62eb197b" + }, + "execution_count": 16, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Number of duplicate rows: 0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Group data by race/ethnicity and mode to get counts\n", + "mode_preferences = clean_data.groupby(['race_eth_name', 'mode_name']).size().unstack(fill_value=0)\n", + "\n", + "# Normalize counts to get percentages\n", + "mode_preferences_percentage = mode_preferences.div(mode_preferences.sum(axis=1), axis=0) * 100\n", + "\n", + "# Display or visualize the mode preferences by race/ethnicity\n", + "print(mode_preferences_percentage)\n", + "# or create a heatmap, bar chart, or other visualizations for better understanding\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "UPUpd6dZ0xyw", + "outputId": "79f265e2-d9ad-429d-a837-89d6cffc4e1c" + }, + "execution_count": 17, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "mode_name Bicycle Car, Truck, or Van Car, Truck, or Van: Carpooled \\\n", + "race_eth_name \n", + "AIAN 14.242240 14.303104 14.242240 \n", + "AfricanAm 14.303718 14.282714 14.282714 \n", + "Asian 14.294700 14.278975 14.294700 \n", + "Latino 14.297453 14.288323 14.279193 \n", + "Multiple 14.305750 14.265678 14.285714 \n", + "NHOPI 14.316940 14.316940 14.207650 \n", + "Other 14.157973 14.307004 14.307004 \n", + "Total 14.285714 14.285714 14.285714 \n", + "White 14.281741 14.281741 14.288694 \n", + "\n", + "mode_name Car, Truck, or Van: Drove Alone Public Transportation \\\n", + "race_eth_name \n", + "AIAN 14.303104 14.303104 \n", + "AfricanAm 14.282714 14.282714 \n", + "Asian 14.263249 14.294700 \n", + "Latino 14.279193 14.270063 \n", + "Multiple 14.265678 14.285714 \n", + "NHOPI 14.316940 14.316940 \n", + "Other 14.307004 14.307004 \n", + "Total 14.285079 14.285714 \n", + "White 14.288694 14.281741 \n", + "\n", + "mode_name Walked to work Worked at home \n", + "race_eth_name \n", + "AIAN 14.303104 14.303104 \n", + "AfricanAm 14.261710 14.303718 \n", + "Asian 14.278975 14.294700 \n", + "Latino 14.297453 14.288323 \n", + "Multiple 14.285714 14.305750 \n", + "NHOPI 14.316940 14.207650 \n", + "Other 14.307004 14.307004 \n", + "Total 14.286349 14.285714 \n", + "White 14.288694 14.288694 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [], + "metadata": { + "id": "NX15kYbw2GGB" + }, + "execution_count": null, + "outputs": [] + }, + { + "cell_type": "code", + "source": [ + "import seaborn as sns\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# Example: Create a heatmap of mode preferences by race/ethnicity\n", + "plt.figure(figsize=(10, 8))\n", + "sns.heatmap(mode_preferences_percentage, cmap='YlGnBu', annot=True, fmt=\".2f\")\n", + "plt.title('Mode Preferences by Race/Ethnicity')\n", + "plt.xlabel('Transportation Mode')\n", + "plt.ylabel('Race/Ethnicity')\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 921 + }, + "id": "VFcphnNS1Fkx", + "outputId": "22e24ede-3811-4d9f-bd1a-3759ae4cf20f" + }, + "execution_count": 18, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Group data by county or region and mode to get counts\n", + "county_mode_preferences = clean_data.groupby(['county_name', 'mode_name']).size().unstack(fill_value=0)\n", + "\n", + "# Normalize counts to get percentages\n", + "county_mode_preferences_percentage = county_mode_preferences.div(county_mode_preferences.sum(axis=1), axis=0) * 100\n", + "\n", + "# Display or visualize the mode preferences by county or region\n", + "print(county_mode_preferences_percentage)\n", + "# or create visualizations to represent commuting trends across counties or regions\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Zq2dkxRf2HU7", + "outputId": "4b85576b-a6ad-4046-d8f7-b2ac0ed31440" + }, + "execution_count": 19, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "mode_name Bicycle Car, Truck, or Van Car, Truck, or Van: Carpooled \\\n", + "county_name \n", + "Alameda 14.289717 14.289717 14.275707 \n", + "Alpine 14.418605 14.418605 13.953488 \n", + "Amador 14.320685 14.320685 14.320685 \n", + "Butte 14.232558 14.325581 14.325581 \n", + "Calaveras 14.285714 14.285714 14.285714 \n", + "Colusa 14.285714 14.285714 14.285714 \n", + "Contra Costa 14.287950 14.287950 14.272300 \n", + "Del Norte 14.285714 14.285714 14.285714 \n", + "El Dorado 14.339623 14.264151 14.188679 \n", + "Fresno 14.308910 14.248021 14.288614 \n", + "Glenn 14.358974 14.358974 14.358974 \n", + "Humboldt 14.278297 14.278297 14.330218 \n", + "Imperial 14.220183 14.296636 14.296636 \n", + "Inyo 14.352392 14.352392 14.119020 \n", + "Kern 14.294211 14.274385 14.294211 \n", + "Kings 14.223003 14.223003 14.310799 \n", + "Lake 14.285714 14.285714 14.285714 \n", + "Lassen 14.285714 14.285714 14.285714 \n", + "Los Angeles 14.285714 14.285714 14.285714 \n", + "Madera 14.285714 14.285714 14.285714 \n", + "Marin 14.285714 14.285714 14.285714 \n", + "Mariposa 14.285714 14.285714 14.285714 \n", + "Mendocino 14.285714 14.285714 14.285714 \n", + "Merced 14.285714 14.285714 14.285714 \n", + "Modoc 14.285714 14.285714 14.285714 \n", + "Mono 14.285714 14.285714 14.285714 \n", + "Monterey 14.285714 14.285714 14.285714 \n", + "Napa 14.285714 14.285714 14.285714 \n", + "Nevada 14.285714 14.285714 14.285714 \n", + "Orange 14.285714 14.285714 14.285714 \n", + "Placer 14.285714 14.285714 14.285714 \n", + "Plumas 14.285714 14.285714 14.285714 \n", + "Riverside 14.285714 14.285714 14.285714 \n", + "Sacramento 14.285714 14.285714 14.285714 \n", + "San Benito 14.285714 14.285714 14.285714 \n", + "San Bernardino 14.285714 14.285714 14.285714 \n", + "San Diego 14.285714 14.285714 14.285714 \n", + "San Francisco 14.285714 14.285714 14.285714 \n", + "San Joaquin 14.285714 14.285714 14.285714 \n", + "San Luis Obispo 14.285714 14.285714 14.285714 \n", + "San Mateo 14.285714 14.285714 14.285714 \n", + "Santa Barbara 14.285714 14.285714 14.285714 \n", + "Santa Clara 14.285714 14.285714 14.285714 \n", + "Santa Cruz 14.285714 14.285714 14.285714 \n", + "Shasta 14.285714 14.285714 14.285714 \n", + "Sierra 14.285714 14.285714 14.285714 \n", + "Siskiyou 14.285714 14.285714 14.285714 \n", + "Solano 14.285714 14.285714 14.285714 \n", + "Sonoma 14.285714 14.285714 14.285714 \n", + "Stanislaus 14.285714 14.285714 14.285714 \n", + "Sutter 14.285714 14.285714 14.285714 \n", + "Tehama 14.285714 14.285714 14.285714 \n", + "Trinity 14.285714 14.285714 14.285714 \n", + "Tulare 14.285714 14.285714 14.285714 \n", + "Tuolumne 14.285714 14.285714 14.285714 \n", + "Ventura 14.285714 14.285714 14.285714 \n", + "Yolo 14.285714 14.285714 14.285714 \n", + "Yuba 14.285714 14.285714 14.285714 \n", + "\n", + "mode_name Car, Truck, or Van: Drove Alone Public Transportation \\\n", + "county_name \n", + "Alameda 14.289717 14.289717 \n", + "Alpine 14.418605 13.953488 \n", + "Amador 14.075887 14.320685 \n", + "Butte 14.186047 14.279070 \n", + "Calaveras 14.285714 14.285714 \n", + "Colusa 14.285714 14.285714 \n", + "Contra Costa 14.287950 14.287950 \n", + "Del Norte 14.285714 14.285714 \n", + "El Dorado 14.264151 14.339623 \n", + "Fresno 14.288614 14.268317 \n", + "Glenn 14.102564 14.102564 \n", + "Humboldt 14.226376 14.330218 \n", + "Imperial 14.296636 14.296636 \n", + "Inyo 14.352392 14.235706 \n", + "Kern 14.294211 14.294211 \n", + "Kings 14.310799 14.310799 \n", + "Lake 14.285714 14.285714 \n", + "Lassen 14.285714 14.285714 \n", + "Los Angeles 14.285714 14.285714 \n", + "Madera 14.285714 14.285714 \n", + "Marin 14.285714 14.285714 \n", + "Mariposa 14.285714 14.285714 \n", + "Mendocino 14.285714 14.285714 \n", + "Merced 14.285714 14.285714 \n", + "Modoc 14.285714 14.285714 \n", + "Mono 14.285714 14.285714 \n", + "Monterey 14.285714 14.285714 \n", + "Napa 14.285714 14.285714 \n", + "Nevada 14.285714 14.285714 \n", + "Orange 14.285714 14.285714 \n", + "Placer 14.285714 14.285714 \n", + "Plumas 14.285714 14.285714 \n", + "Riverside 14.285714 14.285714 \n", + "Sacramento 14.285714 14.285714 \n", + "San Benito 14.285714 14.285714 \n", + "San Bernardino 14.285714 14.285714 \n", + "San Diego 14.285714 14.285714 \n", + "San Francisco 14.285714 14.285714 \n", + "San Joaquin 14.285714 14.285714 \n", + "San Luis Obispo 14.285714 14.285714 \n", + "San Mateo 14.285714 14.285714 \n", + "Santa Barbara 14.285714 14.285714 \n", + "Santa Clara 14.285714 14.285714 \n", + "Santa Cruz 14.285714 14.285714 \n", + "Shasta 14.285714 14.285714 \n", + "Sierra 14.285714 14.285714 \n", + "Siskiyou 14.285714 14.285714 \n", + "Solano 14.285714 14.285714 \n", + "Sonoma 14.285714 14.285714 \n", + "Stanislaus 14.285714 14.285714 \n", + "Sutter 14.285714 14.285714 \n", + "Tehama 14.285714 14.285714 \n", + "Trinity 14.285714 14.285714 \n", + "Tulare 14.285714 14.285714 \n", + "Tuolumne 14.285714 14.285714 \n", + "Ventura 14.285714 14.285714 \n", + "Yolo 14.285714 14.285714 \n", + "Yuba 14.285714 14.285714 \n", + "\n", + "mode_name Walked to work Worked at home \n", + "county_name \n", + "Alameda 14.275707 14.289717 \n", + "Alpine 14.418605 14.418605 \n", + "Amador 14.320685 14.320685 \n", + "Butte 14.325581 14.325581 \n", + "Calaveras 14.285714 14.285714 \n", + "Colusa 14.285714 14.285714 \n", + "Contra Costa 14.287950 14.287950 \n", + "Del Norte 14.285714 14.285714 \n", + "El Dorado 14.264151 14.339623 \n", + "Fresno 14.308910 14.288614 \n", + "Glenn 14.358974 14.358974 \n", + "Humboldt 14.278297 14.278297 \n", + "Imperial 14.296636 14.296636 \n", + "Inyo 14.235706 14.352392 \n", + "Kern 14.294211 14.254560 \n", + "Kings 14.310799 14.310799 \n", + "Lake 14.285714 14.285714 \n", + "Lassen 14.285714 14.285714 \n", + "Los Angeles 14.285714 14.285714 \n", + "Madera 14.285714 14.285714 \n", + "Marin 14.285714 14.285714 \n", + "Mariposa 14.285714 14.285714 \n", + "Mendocino 14.285714 14.285714 \n", + "Merced 14.285714 14.285714 \n", + "Modoc 14.285714 14.285714 \n", + "Mono 14.285714 14.285714 \n", + "Monterey 14.285714 14.285714 \n", + "Napa 14.285714 14.285714 \n", + "Nevada 14.285714 14.285714 \n", + "Orange 14.285714 14.285714 \n", + "Placer 14.285714 14.285714 \n", + "Plumas 14.285714 14.285714 \n", + "Riverside 14.285714 14.285714 \n", + "Sacramento 14.285714 14.285714 \n", + "San Benito 14.285714 14.285714 \n", + "San Bernardino 14.285714 14.285714 \n", + "San Diego 14.285714 14.285714 \n", + "San Francisco 14.285714 14.285714 \n", + "San Joaquin 14.285714 14.285714 \n", + "San Luis Obispo 14.285714 14.285714 \n", + "San Mateo 14.285714 14.285714 \n", + "Santa Barbara 14.285714 14.285714 \n", + "Santa Clara 14.285714 14.285714 \n", + "Santa Cruz 14.285714 14.285714 \n", + "Shasta 14.285714 14.285714 \n", + "Sierra 14.285714 14.285714 \n", + "Siskiyou 14.285714 14.285714 \n", + "Solano 14.285714 14.285714 \n", + "Sonoma 14.285714 14.285714 \n", + "Stanislaus 14.285714 14.285714 \n", + "Sutter 14.285714 14.285714 \n", + "Tehama 14.285714 14.285714 \n", + "Trinity 14.285714 14.285714 \n", + "Tulare 14.285714 14.285714 \n", + "Tuolumne 14.285714 14.285714 \n", + "Ventura 14.285714 14.285714 \n", + "Yolo 14.285714 14.285714 \n", + "Yuba 14.285714 14.285714 \n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Example: Create a bar chart of mode preferences by county\n", + "plt.figure(figsize=(12, 6))\n", + "county_mode_preferences_percentage.plot(kind='bar', stacked=True)\n", + "plt.title('Mode Preferences by County')\n", + "plt.xlabel('County')\n", + "plt.ylabel('Percentage')\n", + "plt.legend(title='Transportation Mode', bbox_to_anchor=(1.05, 1), loc='upper left')\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 605 + }, + "id": "it_tDnht2My_", + "outputId": "c92a4722-cfba-40b5-ca68-5882aed448d0" + }, + "execution_count": 20, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "import folium\n", + "\n", + "# Assuming 'clean_data' contains transportation mode preferences by county\n", + "# Group data by county and mode to get counts\n", + "county_mode_preferences = clean_data.groupby(['county_name', 'mode_name']).size().unstack(fill_value=0)\n", + "\n", + "# Normalize counts to get percentages\n", + "county_mode_preferences_percentage = county_mode_preferences.div(county_mode_preferences.sum(axis=1), axis=0) * 100\n", + "\n", + "# Create Folium Map centered around a location\n", + "m = folium.Map(location=[37.7749, -122.4194], zoom_start=6) # Centered on San Francisco as an example\n", + "\n", + "# Add markers for each county (Random locations for representation purpose)\n", + "for county in county_mode_preferences_percentage.index:\n", + " folium.Marker(\n", + " location=[county_mode_preferences_percentage.loc[county]['longitude'], county_mode_preferences_percentage.loc[county]['latitude']], # Replace with actual lat-long data if available\n", + " popup=f\"{county}
{county_mode_preferences_percentage.loc[county].to_string()}\",\n", + " tooltip=county\n", + " ).add_to(m)\n", + "\n", + "# Display the map\n", + "m\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 512 + }, + "id": "VXBC6lSh3XHZ", + "outputId": "5737be06-e493-45d6-e2b2-a71e3500d0cb" + }, + "execution_count": 21, + "outputs": [ + { + "output_type": "error", + "ename": "KeyError", + "evalue": "ignored", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 3801\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3802\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3803\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/_libs/index.pyx\u001b[0m in \u001b[0;36mpandas._libs.index.IndexEngine.get_loc\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "\u001b[0;32mpandas/_libs/hashtable_class_helper.pxi\u001b[0m in \u001b[0;36mpandas._libs.hashtable.PyObjectHashTable.get_item\u001b[0;34m()\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: 'longitude'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001b[0;31mKeyError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m()\u001b[0m\n\u001b[1;32m 14\u001b[0m \u001b[0;32mfor\u001b[0m \u001b[0mcounty\u001b[0m \u001b[0;32min\u001b[0m \u001b[0mcounty_mode_preferences_percentage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 15\u001b[0m folium.Marker(\n\u001b[0;32m---> 16\u001b[0;31m \u001b[0mlocation\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcounty_mode_preferences_percentage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcounty\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'longitude'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcounty_mode_preferences_percentage\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mloc\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0mcounty\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'latitude'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;31m# Replace with actual lat-long data if available\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 17\u001b[0m \u001b[0mpopup\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34mf\"{county}
{county_mode_preferences_percentage.loc[county].to_string()}\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 18\u001b[0m \u001b[0mtooltip\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcounty\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/series.py\u001b[0m in \u001b[0;36m__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m 979\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 980\u001b[0m \u001b[0;32melif\u001b[0m \u001b[0mkey_is_scalar\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 981\u001b[0;31m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_value\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 982\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 983\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mis_hashable\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/series.py\u001b[0m in \u001b[0;36m_get_value\u001b[0;34m(self, label, takeable)\u001b[0m\n\u001b[1;32m 1087\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1088\u001b[0m \u001b[0;31m# Similar to Index.get_value, but we do not fall back to positional\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1089\u001b[0;31m \u001b[0mloc\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mlabel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 1090\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mindex\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_get_values_for_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mloc\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlabel\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 1091\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/pandas/core/indexes/base.py\u001b[0m in \u001b[0;36mget_loc\u001b[0;34m(self, key, method, tolerance)\u001b[0m\n\u001b[1;32m 3802\u001b[0m \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_engine\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mget_loc\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mcasted_key\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3803\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mKeyError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3804\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mKeyError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mkey\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mfrom\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3805\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mTypeError\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3806\u001b[0m \u001b[0;31m# If we have a listlike key, _check_indexing_error will raise\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;31mKeyError\u001b[0m: 'longitude'" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(12, 6))\n", + "county_mode_preferences_percentage.plot(kind='bar', stacked=True)\n", + "plt.title('Mode Preferences by County')\n", + "plt.xlabel('County')\n", + "plt.ylabel('Percentage')\n", + "plt.legend(title='Transportation Mode', bbox_to_anchor=(1.05, 1), loc='upper left')\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 577 + }, + "id": "9VEoWBO23q0v", + "outputId": "43c1883a-5e54-49de-b409-75d2cdc71b7b" + }, + "execution_count": 22, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {} + }, + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "plt.figure(figsize=(10, 8))\n", + "sns.heatmap(county_mode_preferences_percentage, cmap='YlGnBu', annot=True, fmt=\".2f\")\n", + "plt.title('Mode Preferences by County')\n", + "plt.xlabel('Transportation Mode')\n", + "plt.ylabel('County')\n", + "plt.show()\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 907 + }, + "id": "Z3_o1Kos3sxJ", + "outputId": "97c6ebee-7bb0-450d-9cbe-364886a15b48" + }, + "execution_count": 23, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "
" + ], + "image/png": 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\n" + }, + "metadata": {} + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Find the most used mode for each county\n", + "most_used_mode = county_mode_preferences_percentage.idxmax(axis=1)\n", + "print(most_used_mode)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Ypy4gYZU4B-r", + "outputId": "13ad15ac-c1d3-4c87-e1dd-f73ac9d1c971" + }, + "execution_count": 24, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "county_name\n", + "Alameda Bicycle\n", + "Alpine Bicycle\n", + "Amador Bicycle\n", + "Butte Car, Truck, or Van\n", + "Calaveras Bicycle\n", + "Colusa Bicycle\n", + "Contra Costa Bicycle\n", + "Del Norte Bicycle\n", + "El Dorado Bicycle\n", + "Fresno Bicycle\n", + "Glenn Bicycle\n", + "Humboldt Car, Truck, or Van: Carpooled\n", + "Imperial Car, Truck, or Van\n", + "Inyo Bicycle\n", + "Kern Bicycle\n", + "Kings Car, Truck, or Van: Carpooled\n", + "Lake Bicycle\n", + "Lassen Bicycle\n", + "Los Angeles Bicycle\n", + "Madera Bicycle\n", + "Marin Bicycle\n", + "Mariposa Bicycle\n", + "Mendocino Bicycle\n", + "Merced Bicycle\n", + "Modoc Bicycle\n", + "Mono Bicycle\n", + "Monterey Bicycle\n", + "Napa Bicycle\n", + "Nevada Bicycle\n", + "Orange Bicycle\n", + "Placer Bicycle\n", + "Plumas Bicycle\n", + "Riverside Bicycle\n", + "Sacramento Bicycle\n", + "San Benito Bicycle\n", + "San Bernardino Bicycle\n", + "San Diego Bicycle\n", + "San Francisco Bicycle\n", + "San Joaquin Bicycle\n", + "San Luis Obispo Bicycle\n", + "San Mateo Bicycle\n", + "Santa Barbara Bicycle\n", + "Santa Clara Bicycle\n", + "Santa Cruz Bicycle\n", + "Shasta Bicycle\n", + "Sierra Bicycle\n", + "Siskiyou Bicycle\n", + "Solano Bicycle\n", + "Sonoma Bicycle\n", + "Stanislaus Bicycle\n", + "Sutter Bicycle\n", + "Tehama Bicycle\n", + "Trinity Bicycle\n", + "Tulare Bicycle\n", + "Tuolumne Bicycle\n", + "Ventura Bicycle\n", + "Yolo Bicycle\n", + "Yuba Bicycle\n", + "dtype: object\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Calculate the total percentages for each mode across counties\n", + "total_mode_percentages = county_mode_preferences_percentage.sum()\n", + "\n", + "# Find the mode with the highest total percentage\n", + "overall_most_used_mode = total_mode_percentages.idxmax()\n", + "print(f\"The overall most used mode is: {overall_most_used_mode}\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "Bh8lpAKE4I-9", + "outputId": "afc2134e-2462-4289-e682-546a32c181c1" + }, + "execution_count": 25, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "The overall most used mode is: Worked at home\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "# Group data by year and mode to get counts\n", + "yearly_mode_preferences = clean_data.groupby(['reportyear', 'mode_name']).size().unstack(fill_value=0)\n", + "\n", + "# Normalize counts to get percentages\n", + "yearly_mode_preferences_percentage = yearly_mode_preferences.div(yearly_mode_preferences.sum(axis=1), axis=0) * 100\n", + "\n", + "# Display or visualize the mode preferences over different years\n", + "print(yearly_mode_preferences_percentage)\n", + "# or create visualizations to show temporal trends in transportation preferences\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "LUslk1Rx4JFL", + "outputId": "161d0102-2e4d-44ca-a7fb-78d8324e16f2" + }, + "execution_count": 26, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "mode_name Bicycle Car, Truck, or Van Car, Truck, or Van: Carpooled \\\n", + "reportyear \n", + "2000 14.287288 14.283983 14.283983 \n", + "2005-2007 14.285714 14.285714 14.285714 \n", + "2006-2010 14.286196 14.286196 14.286196 \n", + "2008-2010 14.285714 14.285714 14.285714 \n", + "\n", + "mode_name Car, Truck, or Van: Drove Alone Public Transportation \\\n", + "reportyear \n", + "2000 14.281780 14.286186 \n", + "2005-2007 14.285714 14.285714 \n", + "2006-2010 14.286196 14.283949 \n", + "2008-2010 14.285714 14.285714 \n", + "\n", + "mode_name Walked to work Worked at home \n", + "reportyear \n", + "2000 14.288389 14.288389 \n", + "2005-2007 14.285714 14.285714 \n", + "2006-2010 14.285072 14.286196 \n", + "2008-2010 14.285714 14.285714 \n" + ] + } + ] + } + ] +} \ No newline at end of file