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https://issues.apache.org/jira/browse/ARROW-1890?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Uwe L. Korn updated ARROW-1890:
-------------------------------
Description:
{code}
arr = np.array([date(2017, 4, 3), date(2017, 4, 4)], dtype='datetime64[D]')
mask = [True, False]
t32 = pa.date32()
result = pa.array(arr, mask=np.array(mask))
expected = pa.array(np.array([None, date(2017, 4, 4)], dtype='datetime64[D]'))
{code}
The above code produces an array that has no null values.
was:
{code}
arr = np.array([date(2017, 4, 3), date(2017, 4, 4)])
mask = [True, False]
t32 = pa.date32()
result = pa.array(arr, type=t32, mask=mask)
{code}
The above code produces an array that has no null values.
> [Python] Masking for date32 arrays not working
> ----------------------------------------------
>
> Key: ARROW-1890
> URL: https://issues.apache.org/jira/browse/ARROW-1890
> Project: Apache Arrow
> Issue Type: Bug
> Reporter: Uwe L. Korn
> Assignee: Uwe L. Korn
>
> {code}
> arr = np.array([date(2017, 4, 3), date(2017, 4, 4)], dtype='datetime64[D]')
> mask = [True, False]
> t32 = pa.date32()
> result = pa.array(arr, mask=np.array(mask))
> expected = pa.array(np.array([None, date(2017, 4, 4)], dtype='datetime64[D]'))
> {code}
> The above code produces an array that has no null values.
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