@property
def dtypes(self):
    "\n        Return the dtypes in the DataFrame.\n\n        This returns a Series with the data type of each column.\n        The result's index is the original DataFrame's columns. Columns\n        with mixed types are stored with the ``object`` dtype. See\n        :ref:`the User Guide <basics.dtypes>` for more.\n\n        Returns\n        -------\n        pandas.Series\n            The data type of each column.\n\n        See Also\n        --------\n        DataFrame.ftypes : Dtype and sparsity information.\n\n        Examples\n        --------\n        >>> df = pd.DataFrame({'float': [1.0],\n        ...                    'int': [1],\n        ...                    'datetime': [pd.Timestamp('20180310')],\n        ...                    'string': ['foo']})\n        >>> df.dtypes\n        float              float64\n        int                  int64\n        datetime    datetime64[ns]\n        string              object\n        dtype: object\n        "
    from pandas import Series
    return Series(self._data.get_dtypes(), index=self._info_axis, dtype=np.object_)
Return the dtypes in the DataFrame.

This returns a Series with the data type of each column.
The result's index is the original DataFrame's columns. Columns
with mixed types are stored with the ``object`` dtype. See
:ref:`the User Guide <basics.dtypes>` for more.

Returns
-------
pandas.Series
    The data type of each column.

See Also
--------
DataFrame.ftypes : Dtype and sparsity information.

Examples
--------
>>> df = pd.DataFrame({'float': [1.0],
...                    'int': [1],
...                    'datetime': [pd.Timestamp('20180310')],
...                    'string': ['foo']})
>>> df.dtypes
float              float64
int                  int64
datetime    datetime64[ns]
string              object
dtype: object
@property
def dtypes(self):
    "\n        Return the dtypes in the DataFrame.\n\n        This returns a Series with the data type of each column.\n        The result's index is the original DataFrame's columns. Columns\n        with mixed types are stored with the ``object`` dtype. See\n        :ref:`the User Guide <basics.dtypes>` for more.\n\n        Returns\n        -------\n        pandas.Series\n            The data type of each column.\n\n        See Also\n        --------\n        DataFrame.ftypes : Dtype and sparsity information.\n\n        Examples\n        --------\n        >>> df = pd.DataFrame({'float': [1.0],\n        ...                    'int': [1],\n        ...                    'datetime': [pd.Timestamp('20180310')],\n        ...                    'string': ['foo']})\n        >>> df.dtypes\n        float              float64\n        int                  int64\n        datetime    datetime64[ns]\n        string              object\n        dtype: object\n        "
    from pandas import Series
    return Series(self._data.get_dtypes(), index=self._info_axis, dtype=np.object_)