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pandas.DataFrame.ftypes

DataFrame.ftypes

Return the ftypes (indication of sparse/dense and dtype) in 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 the User Guide for more.

Returns:

pandas.Series

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

See also

pandas.DataFrame.dtypes
Series with just dtype information.
pandas.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
0    float64:sparse
1    float64:sparse
2    float64:sparse
3    float64:sparse
dtype: object
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