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BUG: pd.array([], dtype=None) should return a masked array #54371

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topper-123 opened this issue Aug 2, 2023 · 0 comments · Fixed by #54372
Closed

BUG: pd.array([], dtype=None) should return a masked array #54371

topper-123 opened this issue Aug 2, 2023 · 0 comments · Fixed by #54372
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Bug NA - MaskedArrays Related to pd.NA and nullable extension arrays

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@topper-123
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Current situation:

>>> import pandas as pd
>>> pd.array([])
<NumpyExtensionArray>
[]
Length: 0, dtype: float64

i.e. returns a numpy dtype. This is IMO inconsistent, as pd.array generally tries to return masked dtypes from lists when possible. IMO the above should instead give:

>>> import pandas as pd
>>> pd.array([])
<FloatingArray>
[]
Length: 0, dtype: Float64
@topper-123 topper-123 added NA - MaskedArrays Related to pd.NA and nullable extension arrays Bug labels Aug 4, 2023
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Labels
Bug NA - MaskedArrays Related to pd.NA and nullable extension arrays
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