How to Reproducibly Share a Pandas DataFrame Using `to_clipboard()`?

How to provide a reproducible copy of your DataFrame with to_clipboard()

Many users asking questions about Pandas are new and inexperienced. A critical component of asking a question is how to create a Minimal, Complete, and Verifiable example. This explains "what" and "why," but not "how."

This question addresses how to copy an existing DataFrame with .to_clipboard(), providing a simple and effective solution.

Method:

1. Provide the output of pandas.DataFrame.to_clipboard:

df.head(10).to_clipboard(sep=',', index=True)

Note: When this code is executed, the result will be copied to the clipboard.

2. Paste the clipboard into a code block in your Stack Overflow question:

,a,b
2020-07-30,2,4
2020-07-31,1,5
2020-08-01,2,2
2020-08-02,9,8
2020-08-03,4,0
2020-08-04,3,3
2020-08-05,7,7
2020-08-06,7,0
2020-08-07,8,4
2020-08-08,3,2

This output can be copied and used as input for the following code, which reconstructs the DataFrame:

pd.read_clipboard(sep=',')

Additional Notes:

• If the DataFrame has a multi-index, specify which columns are the indices.
• For Google Colab users, .to_clipboard() won't work. Use .to_dict() to copy the DataFrame instead.

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