pandas.DataFrame.ftypes¶
-
property
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 0 float64:sparse 1 float64:sparse 2 float64:sparse 3 float64:sparse dtype: object