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LernerPython blog, from Reuven Lerner: Pandas Grouper NaNs: Why outlier dates create empty groups
Got NaNs when using Grouper on a Python Pandas data frame?groupby+Grouper chops up the datetime values, from the earliest to the latest, by the specified granularity.If even one datetime is super early/late, you’ll get tons of NaNs.dropna is often helpful here.