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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def dtypes(self):
 """ 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 -------- float float64 int int64 datetime datetime64[ns] string object dtype: object """

        from pandas import Series
        return Series(self._data.get_dtypes(), index=self._info_axis,
                      dtype=np.object_)