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In several cases nullable integer dtypes can avoid falling from integers to floats if None-values appear. At least with #1624, this issue must be handled. Missing support of pd.NaN in numpy must be taken into account.
In several cases nullable integer dtypes can avoid falling from integers to floats if None-values appear. At least with #1624, this issue must be handled. Missing support of
pd.NaNin numpy must be taken into account.