{
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "Copyright (c) Microsoft Corporation. All rights reserved.\r\n",
        "\r\n",
        "Licensed under the MIT License."
      ],
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Exploring NYC Taxi data in Winter and Summer\r\n",
        "\r\n",
        "Refer to the [Data dictionary](https://www1.nyc.gov/assets/tlc/downloads/pdf/data_dictionary_trip_records_yellow.pdf) to explore the columns that have been provided.\r\n"
      ],
      "metadata": {}
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "source": [
        "!pip install pandas"
      ],
      "outputs": [],
      "metadata": {
        "scrolled": true
      }
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "source": [
        "import pandas as pd\r\n",
        "import glob\r\n",
        "\r\n",
        "path = '../../data/Taxi/yellow_tripdata_2019-{}.csv'\r\n",
        "july_taxi = pd.read_csv(path.format('07'))\r\n",
        "january_taxi = pd.read_csv(path.format('01'))\r\n",
        "\r\n",
        "df = pd.concat([january_taxi, july_taxi])\r\n",
        "\r\n",
        "# df.describe()\r\n",
        "print(df.describe())"
      ],
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "c:\\Users\\jasmineg\\projects\\Data-Science-For-Beginners\\venv\\lib\\site-packages\\IPython\\core\\interactiveshell.py:3441: DtypeWarning: Columns (6) have mixed types.Specify dtype option on import or set low_memory=False.\n",
            "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "           VendorID  passenger_count  ...  total_amount  congestion_surcharge\n",
            "count  1.394425e+07     1.394425e+07  ...  1.397821e+07          9.122233e+06\n",
            "mean   1.641553e+00     1.569314e+00  ...  1.745644e+01          1.563450e+00\n",
            "std    5.172343e-01     1.219889e+00  ...  1.945658e+02          1.215658e+00\n",
            "min    1.000000e+00     0.000000e+00  ... -4.508000e+02         -2.500000e+00\n",
            "25%    1.000000e+00     1.000000e+00  ...  9.360000e+00          0.000000e+00\n",
            "50%    2.000000e+00     1.000000e+00  ...  1.295000e+01          2.500000e+00\n",
            "75%    2.000000e+00     2.000000e+00  ...  1.880000e+01          2.500000e+00\n",
            "max    4.000000e+00     9.000000e+00  ...  6.232617e+05          2.750000e+00\n",
            "\n",
            "[8 rows x 15 columns]\n"
          ]
        }
      ],
      "metadata": {}
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3.9.7 64-bit ('venv': venv)"
    },
    "language_info": {
      "mimetype": "text/x-python",
      "name": "python",
      "pygments_lexer": "ipython3",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "version": "3.9.7",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "name": "04-nyc-taxi-join-weather-in-pandas",
    "notebookId": 1709144033725344,
    "interpreter": {
      "hash": "6b9b57232c4b57163d057191678da2030059e733b8becc68f245de5a75abe84e"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 2
}