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