{
  "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": null,
      "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",
        "print(df)"
      ],
      "outputs": [],
      "metadata": {}
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3.9.7 64-bit ('venv': venv)"
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      "name": "python",
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        "version": 3
      },
      "version": "3.9.7",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "name": "04-nyc-taxi-join-weather-in-pandas",
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