modin.pandas.Expanding.count¶

Expanding.count(numeric_only: bool = False)[source] (https://github.com/snowflakedb/snowpark-python/blob/v1.21.0/src/snowflake/snowpark/modin/pandas/window.py#L501-L512)¶

Compute the expanding count.

Parameters:

numeric_only (bool, default False) – Include only float, int, boolean columns.

Returns:

Computed expanding count of values.

Return type:

Series or DataFrame

Examples

>>> df = pd.DataFrame({'B': [0, 1, 2, np.nan, 4]})
>>> df
     B
0  0.0
1  1.0
2  2.0
3  NaN
4  4.0
>>> df.expanding(2).count()
     B
0  NaN
1  2.0
2  3.0
3  3.0
4  4.0

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