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Joris Van den Bossche commented on ARROW-5208: ---------------------------------------------- To get started, I think the developer docs are the place to look. Specifically the python docs have a good section on how to setup and build arrow and pyarrow: https://arrow.apache.org/docs/developers/python.html#building-on-linux-and-macos > [Python] Inconsistent resulting type during casting in pa.array() when mask > is present > -------------------------------------------------------------------------------------- > > Key: ARROW-5208 > URL: https://issues.apache.org/jira/browse/ARROW-5208 > Project: Apache Arrow > Issue Type: Bug > Components: Python > Affects Versions: 0.13.0 > Reporter: Artem KOZHEVNIKOV > Priority: Major > Fix For: 0.14.0 > > > I would expect Int64Array type in all cases below : > {code:java} > >>> pa.array([4, None, 4, None], mask=np.array([False, True, False, True])) > >>> > >>> > <pyarrow.lib.Int64Array object at 0x91fad3a98> [4, null, 4, null ] > >>> pa.array([4, None, 4, 'rer'], mask=np.array([False, True, False, True])) > >>> > >>> > <pyarrow.lib.Int64Array object at 0x9201f23b8> [4, null, 4, null ] > >>> pa.array([4, None, 4, 3.], mask=np.array([False, True, False, True])) > >>> > >>> <pyarrow.lib.DoubleArray object at 0x91fab7638> [ 4, null, > >>> 4, null ]{code} -- This message was sent by Atlassian JIRA (v7.6.3#76005)