pandas.core.window.rolling.Rolling.count#
- Rolling.count(numeric_only=False)[source]#
Calculate the rolling count of non NaN observations.
- Parameters:
- numeric_onlybool, default False
Include only float, int, boolean columns.
Added in version 1.5.0.
- Returns:
- Series or DataFrame
Return type is the same as the original object with
np.float64
dtype.
See also
Series.rolling
Calling rolling with Series data.
DataFrame.rolling
Calling rolling with DataFrames.
Series.count
Aggregating count for Series.
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