In [6]: a = pd.array([0, 1, -1, None], dtype="Int64") In [7]: a // 0 Out[7]: <IntegerArray> [0, 0, 0, NaN] Length: 4, dtype: Int64 In [8]: a // -0 Out[8]: <IntegerArray> [0, 0, 0, NaN] Length: 4, dtype: Int64 In [9]: a // 0.0 Out[9]: array([nan, nan, nan, nan]) In [10]: a // -0.0 Out[10]: array([nan, nan, nan, nan])
Those should probably all be NA, to match the ndarray behavior.
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