pandas.api.indexers.FixedForwardWindowIndexer — pandas 3.0.0.dev0+2104.ge637b4290d documentation (original) (raw)

class pandas.api.indexers.FixedForwardWindowIndexer(index_array=None, window_size=0, **kwargs)[source]#

Creates window boundaries for fixed-length windows that include the current row.

Parameters:

index_arraynp.ndarray, default None

Array-like structure representing the indices for the data points. If None, the default indices are assumed. This can be useful for handling non-uniform indices in data, such as in time series with irregular timestamps.

window_sizeint, default 0

Size of the moving window. This is the number of observations used for calculating the statistic. The default is to consider all observations within the window.

**kwargs

Additional keyword arguments passed to the subclass’s methods.

See also

DataFrame.rolling

Provides rolling window calculations.

api.indexers.VariableWindowIndexer

Calculate window bounds based on variable-sized windows.

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

indexer = pd.api.indexers.FixedForwardWindowIndexer(window_size=2) df.rolling(window=indexer, min_periods=1).sum() B 0 1.0 1 3.0 2 2.0 3 4.0 4 4.0

Methods