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https://issues.apache.org/jira/browse/ARROW-488?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15903199#comment-15903199
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Miki Tebeka commented on ARROW-488:
-----------------------------------
Is the dtype still integer? I see that Pandas changes the dtype once you add a
nan:
{noformat}
In [1]: import pandas as pd
In [2]: import numpy as np
In [3]: s = pd.Series([1,2,3])
In [4]: s
Out[4]:
0 1
1 2
2 3
dtype: int64
In [5]: s[1] = np.nan
In [6]: s
Out[6]:
0 1.0
1 NaN
2 3.0
dtype: float64
{noformat}
> [Python] Implement conversion between integer coded as floating points with
> NaN to an Arrow integer type
> --------------------------------------------------------------------------------------------------------
>
> Key: ARROW-488
> URL: https://issues.apache.org/jira/browse/ARROW-488
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Reporter: Wes McKinney
>
> For example: if pandas has casted integer data to float, this would enable
> the integer data to be recovered (so long as the values fall in the ~2^53
> floating point range for exact integer representation)
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