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Pandas · Method

df.convert_dtypes

Converts DataFrame columns to suitable nullable pandas dtypes. This lets columns use pd.NA for missing values and can replace regular NumPy or object dtypes.

Last updated

Since
2.0

Syntax

DataFrame.convert_dtypes(infer_objects=<no_default>, convert_string=<no_default>, convert_integer=<no_default>, convert_boolean=<no_default>, convert_floating=<no_default>, dtype_backend='numpy_nullable')

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  • infer_objects
  • to_datetime
  • to_timedelta
  • to_numeric

Source: pandas.DataFrame.convert_dtypes — pandas 3.1.0 documentation. Checked 2026-11-03.