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76 lines
1.9 KiB
76 lines
1.9 KiB
{
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"cells": [
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{
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"cell_type": "markdown",
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"source": [
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"Copyright (c) Microsoft Corporation. All rights reserved.\r\n",
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"\r\n",
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"Licensed under the MIT License."
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],
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"metadata": {}
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},
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{
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"cell_type": "markdown",
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"source": [
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"# Exploring NYC Taxi data in Winter and Summer\r\n",
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"\r\n",
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"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"
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],
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"metadata": {}
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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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"source": [
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"!pip install pandas"
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],
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"outputs": [],
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"metadata": {
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"scrolled": true
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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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"source": [
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"import pandas as pd\r\n",
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"import glob\r\n",
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"\r\n",
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"path = '../../data/Taxi/yellow_tripdata_2019-{}.csv'\r\n",
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"july_taxi = pd.read_csv(path.format('07'))\r\n",
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"january_taxi = pd.read_csv(path.format('01'))\r\n",
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"\r\n",
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"df = pd.concat([january_taxi, july_taxi])\r\n",
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"\r\n",
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"print(df)"
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],
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"outputs": [],
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"metadata": {}
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}
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],
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"metadata": {
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"kernelspec": {
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"name": "python3",
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"display_name": "Python 3.9.7 64-bit ('venv': venv)"
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},
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"language_info": {
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"mimetype": "text/x-python",
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"name": "python",
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"pygments_lexer": "ipython3",
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"version": "3.9.7",
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"nbconvert_exporter": "python",
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"file_extension": ".py"
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},
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"name": "04-nyc-taxi-join-weather-in-pandas",
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"notebookId": 1709144033725344,
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"interpreter": {
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"hash": "6b9b57232c4b57163d057191678da2030059e733b8becc68f245de5a75abe84e"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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} |