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Showing content from https://pandas.pydata.org/docs/dev/development/../reference/api/pandas.Index.infer_objects.html below:

pandas.Index.infer_objects — pandas 3.0.0.dev0+2231.g4f2aa4d2be documentation

final Index.infer_objects(copy=True)[source]#

If we have an object dtype, try to infer a non-object dtype.

Parameters:

copybool, default True

Whether to make a copy in cases where no inference occurs.

Returns:

Index

An Index with a new dtype if the dtype was inferred or a shallow copy if the dtype could not be inferred.

Examples

>>> pd.Index(["a", 1]).infer_objects()
Index(['a', '1'], dtype='object')
>>> pd.Index([1, 2], dtype="object").infer_objects()
Index([1, 2], dtype='int64')

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