pandas.core.window.expanding.Expanding.count#
- Expanding.count(numeric_only=False)[source]#
Calculate the expanding 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.float64dtype.
See also
Series.expandingCalling expanding with Series data.
DataFrame.expandingCalling expanding with DataFrames.
Series.countAggregating count for Series.
DataFrame.countAggregating count for DataFrame.
Examples
>>> ser = pd.Series([1, 2, 3, 4], index=['a', 'b', 'c', 'd']) >>> ser.expanding().count() a 1.0 b 2.0 c 3.0 d 4.0 dtype: float64