Twitter 
Facebook
chevron_left
Creating DataFrames Cookbook
Combining multiple Series into a DataFrameCombining multiple Series to form a DataFrameConverting a Series to a DataFrameConverting list of lists into DataFrameConverting list to DataFrameConverting percent string into a numeric for read_csvConverting scikit-learn dataset to Pandas DataFrameConverting string data into a DataFrameCreating a DataFrame from a stringCreating a DataFrame using listsCreating a DataFrame with different type for each columnCreating a DataFrame with empty valuesCreating a DataFrame with missing valuesCreating a DataFrame with random numbersCreating a DataFrame with zerosCreating a MultiIndex DataFrameCreating a Pandas DataFrameCreating a single DataFrame from multiple filesCreating empty DataFrame with only column labelsFilling missing values when using read_csvImporting DatasetImporting tables from PostgreSQL as Pandas DataFramesInitialising a DataFrame using a constantInitialising a DataFrame using a dictionaryInitialising a DataFrame using a list of dictionariesInserting lists into a DataFrame cellKeeping leading zeroes when using read_csvParsing dates when using read_csvPreventing strings from getting parsed as NaN for read_csvReading data from GitHubReading file without headerReading large CSV files in chunksReading n random lines using read_csvReading space-delimited filesReading specific columns from fileReading tab-delimited filesReading the first few lines of a file to create DataFrameReading the last n lines of a fileReading URL using read_csvReading zipped csv file as a DataFrameRemoving Unnamed:0 columnResolving ParserError: Error tokenizing dataSaving DataFrame as zipped csvSkipping rows without skipping header for read_csvSpecifying data type for read_csvTreating missing values as empty strings rather than NaN for read_csv
check_circle
Mark as learned thumb_up
0
thumb_down
0
chat_bubble_outline
0
auto_stories new
settings
Reading data from GitHub in Pandas
Pandas
chevron_rightCookbooks
chevron_rightDataFrame Cookbooks
chevron_rightCreating DataFrames Cookbook
schedule Jul 1, 2022
Last updated local_offer Python●Pandas
Tags tocTable of Contents
expand_more Check out the interactive map of data science
To read data from a GitHub page in Pandas, supply the URL to the read_csv(~) method:
import pandas as pdurl = "https://raw.githubusercontent.com/SkyTowner/sample_data/main/pandas/simple_dataset.csv"df
A B C0 1 2 31 4 5 62 7 8 9
Notice how the URL begins with raw. In order to retrieve this URL, visit the GitHub page containing your dataset. In our case, this is as follows:
https://github.com/SkyTowner/sample_data/blob/main/pandas/simple_dataset.csv
Next, click on the "Raw" button at the top in order to get the plain CSV file.
Published by Isshin Inada
Edited by 0 others
Did you find this page useful?
thumb_up
thumb_down
Ask a question or leave a feedback...
thumb_up
0
thumb_down
0
chat_bubble_outline
0
settings
Enjoy our search
Hit / to insta-search docs and recipes!
