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Joris Van den Bossche commented on ARROW-9407: ---------------------------------------------- [~wesm] recently added support for pd.NA (ARROW-842, https://github.com/apache/arrow/pull/7537), but apparently not yet for all cases. First, {{from_pandas=True}} needs to be specified: {code} In [22]: pa.array(["A", pd.NA], from_pandas=True) Out[22]: <pyarrow.lib.StringArray object at 0x7ff2cf60fc48> [ "A", null ] {code} and thus doing like the above with a first typed element works. With pd.NA first it still doesn't work, so maybe that it is not yet correctly recognized as null where there is not yet an inferred type. > [Python] Accept pd.NA as missing value in array constructor > ----------------------------------------------------------- > > Key: ARROW-9407 > URL: https://issues.apache.org/jira/browse/ARROW-9407 > Project: Apache Arrow > Issue Type: New Feature > Components: Python > Reporter: Uwe Korn > Priority: Major > Fix For: 2.0.0 > > > Currently we don't support using {{pandas.NA}} at all: > {code} > In [1]: import pyarrow as pa > In [2]: import pandas as pd > In [3]: pa.array([pd.NA, "A"]) > --------------------------------------------------------------------------- > ArrowInvalid Traceback (most recent call last) > <ipython-input-3-77e774fa8521> in <module> > ----> 1 pa.array([pd.NA, "A"]) > ~/miniconda3/envs/fletcher/lib/python3.8/site-packages/pyarrow/array.pxi in > pyarrow.lib.array() > ~/miniconda3/envs/fletcher/lib/python3.8/site-packages/pyarrow/array.pxi in > pyarrow.lib._sequence_to_array() > ~/miniconda3/envs/fletcher/lib/python3.8/site-packages/pyarrow/error.pxi in > pyarrow.lib.check_status() > ArrowInvalid: Could not convert <NA> with type NAType: did not recognize > Python value type when inferring an Arrow data type > {code} -- This message was sent by Atlassian Jira (v8.3.4#803005)