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
>>> import numpy as np >>> 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