pandas 1.4.2

ReturnsBackRef
infer_objects(self: 'NDFrameT') -> 'NDFrameT'

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.

Returns

converted : same type as input object

Attempt to infer better dtypes for object columns.

See Also

convert_dtypes

Convert argument to best possible dtype.

to_datetime

Convert argument to datetime.

to_numeric

Convert argument to numeric type.

to_timedelta

Convert argument to timedelta.

Examples

This example is valid syntax, but we were not able to check execution
>>> df = pd.DataFrame({"A": ["a", 1, 2, 3]})
... df = df.iloc[1:]
... df A 1 1 2 2 3 3
This example is valid syntax, but we were not able to check execution
>>> df.dtypes
A    object
dtype: object
This example is valid syntax, but we were not able to check execution
>>> df.infer_objects().dtypes
A    int64
dtype: object
See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.generic.NDFrame.convert_dtypes

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File: /pandas/core/generic.py#6086
type: <class 'function'>
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