__init__(self, index_array: 'np.ndarray | None' = None, window_size: 'int | BaseIndexer' = 0, groupby_indices: 'dict | None' = None, window_indexer: 'type[BaseIndexer]' = <class 'pandas.core.indexers.objects.BaseIndexer'>, indexer_kwargs: 'dict | None' = None, **kwargs)
np.ndarray of the index of the original object that we are performing a chained groupby operation over. This index has been pre-sorted relative to the groups
window size during the windowing operation
dict of {group label: [positional index of rows belonging to the group]}
BaseIndexer class determining the start and end bounds of each group
Custom kwargs to be passed to window_indexer
keyword arguments that will be available when get_window_bounds is called
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