BaseIndexer still broken with .count() and .min()?
问题 I use a custom window function in pandas. This works fine for things like .mean() and .sum() . As I understand it other aggregations like .count() and .min() used to have problems but should be fixed. Currently .count() uses the internal roll_count function AFAICS. But I still don't get the expected results: import numpy as np import pandas as pd # Use largest most recent multiple of *modulo* past measurements: class ModuloIndexer(pd.api.indexers.BaseIndexer): def get_window_bounds(self, num