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