xorbits.pandas.window.Rolling.count#
- Rolling.count(*args, **kwargs)[source]#
Calculate the rolling count of non NaN observations.
- Parameters
numeric_only (bool, default False (Not supported yet)) –
Include only float, int, boolean columns.
New in version 1.5.0(pandas).
- Returns
Return type is the same as the original object with
np.float64
dtype.- Return type
See also
pandas.Series.rolling
Calling rolling with Series data.
pandas.DataFrame.rolling
Calling rolling with DataFrames.
pandas.Series.count
Aggregating count for Series.
pandas.DataFrame.count
Aggregating count for DataFrame.
Examples
>>> s = pd.Series([2, 3, np.nan, 10]) >>> s.rolling(2).count() 0 NaN 1 2.0 2 1.0 3 1.0 dtype: float64 >>> s.rolling(3).count() 0 NaN 1 NaN 2 2.0 3 2.0 dtype: float64 >>> s.rolling(4).count() 0 NaN 1 NaN 2 NaN 3 3.0 dtype: float64
This docstring was copied from pandas.core.window.rolling.Rolling.