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Int64Dtype conversion seems to casts to double first in the Series constructor #25880

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adeak opened this issue Mar 26, 2019 · 1 comment · Fixed by #50757
Closed

Int64Dtype conversion seems to casts to double first in the Series constructor #25880

adeak opened this issue Mar 26, 2019 · 1 comment · Fixed by #50757
Labels
Bug Dtype Conversions Unexpected or buggy dtype conversions ExtensionArray Extending pandas with custom dtypes or arrays. NA - MaskedArrays Related to pd.NA and nullable extension arrays

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@adeak
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adeak commented Mar 26, 2019

Constructing a Series with dtype=Int64Dtype() suggests that there can be an intermiediate conversion to double if the input contains NaNs:

import pandas as pd
n = 2**62+5
print(n, int(float(n)))
print(pd.Series([n, float('nan')]))
print(pd.Series([n, float('nan')], dtype=pd.Int64Dtype()))
print(pd.Series([n, float('nan')], dtype=object).astype(pd.Int64Dtype()))

In both latter cases we end up with a Series with dtype=Int64 containing integer NaNs. However, in the penultimate case we get the int-float-int converted value of n (4611686018427387904), and we only get the exact Int64 result (4611686018427387909) if we instantiate the Series with dtype=object and convert afterward.

This doesn't happen if the input doesn't contain any NaNs:

print(pd.Series([n, n+3], dtype=pd.Int64Dtype()))

Expected output is 4611686018427387909 inside the Series constructed with dtype=Int64Dtype().
Issue is there in master.

@ztane
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ztane commented Mar 26, 2019

It does work with None though:

>>> pandas.Series([2 ** 62 + 5, None], dtype='Int64')
0    4611686018427387909
1                    NaN
dtype: Int64

@jbrockmendel jbrockmendel added Dtype Conversions Unexpected or buggy dtype conversions ExtensionArray Extending pandas with custom dtypes or arrays. labels Jul 23, 2019
@mroeschke mroeschke added the Bug label Jun 27, 2021
@jbrockmendel jbrockmendel added the NA - MaskedArrays Related to pd.NA and nullable extension arrays label Dec 21, 2021
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Labels
Bug Dtype Conversions Unexpected or buggy dtype conversions ExtensionArray Extending pandas with custom dtypes or arrays. NA - MaskedArrays Related to pd.NA and nullable extension arrays
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