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How Can I Easily Share a Pandas DataFrame Using `df.to_dict()`?

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Release: 2024-12-07 10:35:15
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How Can I Easily Share a Pandas DataFrame Using `df.to_dict()`?

How to easily share a sample dataframe using df.to_dict()

In many situations, using an approach with df.to_dict() will perfectly suffice! Here are two cases that come to mind:

Case 1: You've got a dataframe built or loaded in Python from a local source

Case 2: You've got a table in another application (like Excel)

The details:

Case 1: You've got a dataframe built or loaded from a local source

Given that you've got a pandas dataframe named df, just

  1. run df.to_dict() in you console or editor,
  2. copy the output that is formatted as a dictionary,
  3. paste the content into pd.DataFrame() and include that chunk in your now reproducible code snippet.

And there are two ways you can handle larger dataframes:

  1. run df.head(20).to_dict() to only include the first 20 rows, and
  2. change the format of your dict using, for example, df.to_dict('split') (there are other options besides 'split') to reshape your output to a dict that requires fewer lines.

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