pandas.DataFrame.infer_objects — pandas 3.0.0rc0+31.g944c527c0a documentation (original) (raw)

DataFrame.infer_objects(copy=<no_default>)[source]#

Attempt to infer better dtypes for object columns.

Attempts soft conversion of object-dtyped columns, leaving non-object and unconvertible columns unchanged. The inference rules are the same as during normal Series/DataFrame construction.

Parameters:

copybool, default False

This keyword is now ignored; changing its value will have no impact on the method.

Deprecated since version 3.0.0: This keyword is ignored and will be removed in pandas 4.0. Since pandas 3.0, this method always returns a new object using a lazy copy mechanism that defers copies until necessary (Copy-on-Write). See the user guide on Copy-on-Writefor more details.

Returns:

same type as input object

Returns an object of the same type as the input object.

Examples

df = pd.DataFrame({"A": ["a", 1, 2, 3]}) df = df.iloc[1:] df A 1 1 2 2 3 3

df.dtypes A object dtype: object

df.infer_objects().dtypes A int64 dtype: object