# pandas.DataFrame.ftypes

`DataFrame.``ftypes`

  Return the ftypes (indication of sparse/dense and dtype) in DataFrame.

  Deprecated since version 0.25.0: Use `dtypes()` instead.

  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 the User Guide for more.

  Returns:

  pandas.Series

  > The data type and indication of sparse/dense of each column.

  See also

  `DataFrame.dtypes`
    Series with just dtype information.
  `SparseDataFrame`
    Container for sparse tabular data.

  Notes

  Sparse data should have the same dtypes as its dense representation.

  Examples

      >>> arr = np.random.RandomState(0).randn(100, 4)
      >>> arr[arr < .8] = np.nan
      >>> pd.DataFrame(arr).ftypes
      0    float64:dense
      1    float64:dense
      2    float64:dense
      3    float64:dense
      dtype: object

      >>> pd.SparseDataFrame(arr).ftypes  # doctest: +SKIP
      0    float64:sparse
      1    float64:sparse
      2    float64:sparse
      3    float64:sparse
      dtype: object

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