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Say Goodbye to Data Type Conversion in pandas 2.0

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Say Goodbye to Data Type Conversion in pandas 2.0

Previously in pandas, if a Series had missing values, its data type would be converted to float, resulting in a potential loss of precision for the original data.

With the integration of Apache Arrow in pandas 2.0, this issue is solved.

4 thoughts on “Say Goodbye to Data Type Conversion in pandas 2.0”

      1. Sorry, I didn’t make my ideal clear, the method in your note is really helpful. “Pandas default type converting sometime damage to the original data’s precision.” This will make some potential bugs.

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Work with Khuyen Tran

Work with Khuyen Tran