You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
140 lines
7.3 KiB
140 lines
7.3 KiB
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "markdown",
|
|
"source": [
|
|
"# ਸਰਦੀ ਅਤੇ ਗਰਮੀ ਵਿੱਚ NYC ਟੈਕਸੀ ਡਾਟਾ\n",
|
|
"\n",
|
|
"ਕਾਲਮਾਂ ਬਾਰੇ ਹੋਰ ਜਾਣਕਾਰੀ ਲਈ [ਡਾਟਾ ਡਿਕਸ਼ਨਰੀ](https://www1.nyc.gov/assets/tlc/downloads/pdf/data_dictionary_trip_records_yellow.pdf) ਨੂੰ ਵੇਖੋ।\n"
|
|
],
|
|
"metadata": {}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"source": [
|
|
"#Install the pandas library\r\n",
|
|
"!pip install pandas"
|
|
],
|
|
"outputs": [],
|
|
"metadata": {
|
|
"scrolled": true
|
|
}
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 7,
|
|
"source": [
|
|
"import pandas as pd\r\n",
|
|
"\r\n",
|
|
"path = '../../data/taxi.csv'\r\n",
|
|
"\r\n",
|
|
"#Load the csv file into a dataframe\r\n",
|
|
"df = pd.read_csv(path)\r\n",
|
|
"\r\n",
|
|
"#Print the dataframe\r\n",
|
|
"print(df)\r\n"
|
|
],
|
|
"outputs": [
|
|
{
|
|
"output_type": "stream",
|
|
"name": "stdout",
|
|
"text": [
|
|
" VendorID tpep_pickup_datetime tpep_dropoff_datetime passenger_count \\\n",
|
|
"0 2.0 2019-07-15 16:27:53 2019-07-15 16:44:21 3.0 \n",
|
|
"1 2.0 2019-07-17 20:26:35 2019-07-17 20:40:09 6.0 \n",
|
|
"2 2.0 2019-07-06 16:01:08 2019-07-06 16:10:25 1.0 \n",
|
|
"3 1.0 2019-07-18 22:32:23 2019-07-18 22:35:08 1.0 \n",
|
|
"4 2.0 2019-07-19 14:54:29 2019-07-19 15:19:08 1.0 \n",
|
|
".. ... ... ... ... \n",
|
|
"195 2.0 2019-01-18 08:42:15 2019-01-18 08:56:57 1.0 \n",
|
|
"196 1.0 2019-01-19 04:34:45 2019-01-19 04:43:44 1.0 \n",
|
|
"197 2.0 2019-01-05 10:37:39 2019-01-05 10:42:03 1.0 \n",
|
|
"198 2.0 2019-01-23 10:36:29 2019-01-23 10:44:34 2.0 \n",
|
|
"199 2.0 2019-01-30 06:55:58 2019-01-30 07:07:02 5.0 \n",
|
|
"\n",
|
|
" trip_distance RatecodeID store_and_fwd_flag PULocationID DOLocationID \\\n",
|
|
"0 2.02 1.0 N 186 233 \n",
|
|
"1 1.59 1.0 N 141 161 \n",
|
|
"2 1.69 1.0 N 246 249 \n",
|
|
"3 0.90 1.0 N 229 141 \n",
|
|
"4 4.79 1.0 N 237 107 \n",
|
|
".. ... ... ... ... ... \n",
|
|
"195 1.18 1.0 N 43 237 \n",
|
|
"196 2.30 1.0 N 148 234 \n",
|
|
"197 0.83 1.0 N 237 263 \n",
|
|
"198 1.12 1.0 N 144 113 \n",
|
|
"199 2.41 1.0 N 209 107 \n",
|
|
"\n",
|
|
" payment_type fare_amount extra mta_tax tip_amount tolls_amount \\\n",
|
|
"0 1.0 12.0 1.0 0.5 4.08 0.0 \n",
|
|
"1 2.0 10.0 0.5 0.5 0.00 0.0 \n",
|
|
"2 2.0 8.5 0.0 0.5 0.00 0.0 \n",
|
|
"3 1.0 4.5 3.0 0.5 1.65 0.0 \n",
|
|
"4 1.0 19.5 0.0 0.5 5.70 0.0 \n",
|
|
".. ... ... ... ... ... ... \n",
|
|
"195 1.0 10.0 0.0 0.5 2.16 0.0 \n",
|
|
"196 1.0 9.5 0.5 0.5 2.15 0.0 \n",
|
|
"197 1.0 5.0 0.0 0.5 1.16 0.0 \n",
|
|
"198 2.0 7.0 0.0 0.5 0.00 0.0 \n",
|
|
"199 1.0 10.5 0.0 0.5 1.00 0.0 \n",
|
|
"\n",
|
|
" improvement_surcharge total_amount congestion_surcharge \n",
|
|
"0 0.3 20.38 2.5 \n",
|
|
"1 0.3 13.80 2.5 \n",
|
|
"2 0.3 11.80 2.5 \n",
|
|
"3 0.3 9.95 2.5 \n",
|
|
"4 0.3 28.50 2.5 \n",
|
|
".. ... ... ... \n",
|
|
"195 0.3 12.96 0.0 \n",
|
|
"196 0.3 12.95 0.0 \n",
|
|
"197 0.3 6.96 0.0 \n",
|
|
"198 0.3 7.80 0.0 \n",
|
|
"199 0.3 12.30 0.0 \n",
|
|
"\n",
|
|
"[200 rows x 18 columns]\n"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {}
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"\n---\n\n**ਅਸਵੀਕਰਤੀ**: \nਇਹ ਦਸਤਾਵੇਜ਼ AI ਅਨੁਵਾਦ ਸੇਵਾ [Co-op Translator](https://github.com/Azure/co-op-translator) ਦੀ ਵਰਤੋਂ ਕਰਕੇ ਅਨੁਵਾਦ ਕੀਤਾ ਗਿਆ ਹੈ। ਜਦੋਂ ਕਿ ਅਸੀਂ ਸਹੀ ਹੋਣ ਦਾ ਯਤਨ ਕਰਦੇ ਹਾਂ, ਕਿਰਪਾ ਕਰਕੇ ਧਿਆਨ ਦਿਓ ਕਿ ਸਵੈਚਾਲਿਤ ਅਨੁਵਾਦਾਂ ਵਿੱਚ ਗਲਤੀਆਂ ਜਾਂ ਅਸੁੱਚਤਤਾਵਾਂ ਹੋ ਸਕਦੀਆਂ ਹਨ। ਇਸ ਦੀ ਮੂਲ ਭਾਸ਼ਾ ਵਿੱਚ ਮੌਜੂਦ ਮੂਲ ਦਸਤਾਵੇਜ਼ ਨੂੰ ਪ੍ਰਮਾਣਿਕ ਸਰੋਤ ਮੰਨਿਆ ਜਾਣਾ ਚਾਹੀਦਾ ਹੈ। ਮਹੱਤਵਪੂਰਨ ਜਾਣਕਾਰੀ ਲਈ, ਪੇਸ਼ੇਵਰ ਮਨੁੱਖੀ ਅਨੁਵਾਦ ਦੀ ਸਿਫਾਰਸ਼ ਕੀਤੀ ਜਾਂਦੀ ਹੈ। ਇਸ ਅਨੁਵਾਦ ਦੇ ਪ੍ਰਯੋਗ ਤੋਂ ਪੈਦਾ ਹੋਣ ਵਾਲੇ ਕਿਸੇ ਵੀ ਗਲਤਫਹਮੀਆਂ ਜਾਂ ਗਲਤ ਵਿਆਖਿਆਵਾਂ ਲਈ ਅਸੀਂ ਜ਼ਿੰਮੇਵਾਰ ਨਹੀਂ ਹਾਂ। \n"
|
|
]
|
|
}
|
|
],
|
|
"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"
|
|
},
|
|
"coopTranslator": {
|
|
"original_hash": "3bd4c20c4e8f3158f483f0f1cc543bb1",
|
|
"translation_date": "2025-09-02T08:35:03+00:00",
|
|
"source_file": "4-Data-Science-Lifecycle/14-Introduction/notebook.ipynb",
|
|
"language_code": "pa"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
} |