dask_expr._rolling.Rolling.count
dask_expr._rolling.Rolling.count¶
- Rolling.count()[source]¶
Calculate the rolling count of non NaN observations.
This docstring was copied from pandas.core.window.rolling.Rolling.count.
Some inconsistencies with the Dask version may exist.
- Parameters
- numeric_onlybool, default False (Not supported in Dask)
Include only float, int, boolean columns.
New in version 1.5.0.
- Returns
- Series or DataFrame
Return type is the same as the original object with
np.float64
dtype.
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