@property<EOL><INDENT>def dtypes(self):<DEDENT>
from pandas import Series<EOL>return Series(self._data.get_dtypes(), index=self._info_axis,<EOL>dtype=np.object_)<EOL>
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