[ https://issues.apache.org/jira/browse/ARROW-1743?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Licht Takeuchi reassigned ARROW-1743: ------------------------------------- Assignee: Licht Takeuchi > Table to_pandas fails when index contains categorical column > ------------------------------------------------------------ > > Key: ARROW-1743 > URL: https://issues.apache.org/jira/browse/ARROW-1743 > Project: Apache Arrow > Issue Type: Bug > Components: Python > Affects Versions: 0.7.1 > Reporter: Brian Pendleton > Assignee: Licht Takeuchi > > Categorical columns in the index of a dataframe are causing a roundtrip > failure. > {code} > >>> df = pd.DataFrame({'a': [1, 2, 3], 'b': [1, 2, 3]}) > >>> df['a'] = df.a.astype('category') > >>> df = df.set_index('a') > >>> tbl = pa.Table.from_pandas(df) > >>> tbl.to_pandas() > Traceback (most recent call last): > File "<stdin>", line 1, in <module> > File "table.pxi", line 881, in pyarrow.lib.Table.to_pandas > File > "C:\Users\bpendlet\Miniconda3\envs\panpy3\lib\site-packages\pyarrow\pandas_compat.py", > line 303, in table_to_blockmanager > if not values.flags.writeable: > AttributeError: 'Categorical' object has no attribute 'flags' > {code} > Works as expected when you don't change have the categorical: > {code} > >>> df = pd.DataFrame({'a': [1, 2, 3], 'b': [1, 2, 3]}) > >>> df = df.set_index('a') > >>> tbl = pa.Table.from_pandas(df) > >>> tbl.to_pandas() > b > a > 1 1 > 2 2 > 3 3 > {code} -- This message was sent by Atlassian JIRA (v6.4.14#64029)