pandas.DataFrame.infer_objects#

DataFrame.infer_objects(copy=None)[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 True: Whether to make a copy for non-object or non-inferrable columns or Series.

Returns

same type as input object

See also

to_datetime: Convert argument to datetime.
to_timedelta: Convert argument to timedelta.
to_numeric: Convert argument to numeric type.
convert_dtypes: Convert argument to best possible dtype.

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