def get_ftype_counts(self):
warnings.warn("<STR_LIT>"<EOL>"<STR_LIT>",<EOL>FutureWarning, stacklevel=<NUM_LIT:2>)<EOL>from pandas import Series<EOL>return Series(self._data.get_ftype_counts())<EOL>
Return counts of unique ftypes in this object.

.. deprecated:: 0.23.0

This is useful for SparseDataFrame or for DataFrames containing
sparse arrays.

Returns
-------
dtype : Series
    Series with the count of columns with each type and
    sparsity (dense/sparse).

See Also
--------
ftypes : Return ftypes (indication of sparse/dense and dtype) in
    this object.

Examples
--------
>>> a = [['a', 1, 1.0], ['b', 2, 2.0], ['c', 3, 3.0]]
>>> df = pd.DataFrame(a, columns=['str', 'int', 'float'])
>>> df
  str  int  float
0   a    1    1.0
1   b    2    2.0
2   c    3    3.0

>>> df.get_ftype_counts()  # doctest: +SKIP
float64:dense    1
int64:dense      1
object:dense     1
dtype: int64