def infer_objects(self):
<EOL>return self._constructor(<EOL>self._data.convert(datetime=True, numeric=False,<EOL>timedelta=True, coerce=False,<EOL>copy=True)).__finalize__(self)<EOL>
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.

.. versionadded:: 0.21.0

Returns
-------
converted : 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.

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