


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
- run df.to_dict() in you console or editor,
- copy the output that is formatted as a dictionary,
- paste the content into pd.DataFrame(
And there are two ways you can handle larger dataframes:
- run df.head(20).to_dict() to only include the first 20 rows, and
- 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.
The above is the detailed content of How Can I Easily Share a Pandas DataFrame Using `df.to_dict()`?. For more information, please follow other related articles on the PHP Chinese website!

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