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https://issues.apache.org/jira/browse/ARROW-6173?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Igor Yastrebov updated ARROW-6173:
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Description:
When I create a new environment in conda:
{code:java}
conda create -n pyarrow-test python=3.7 pyarrow=0.14.1
{code}
and try to read a csv file:
{code:java}
import pyarrow as pa
pa.read_csv('test.csv'){code}
it fails with an error:
{code:java}
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'pyarrow' has no attribute 'csv'
{code}
However, loading it directly works:
{code:java}
import pyarrow.csv as pc
table = pc.read_csv('test.csv')
{code}
and using pa.csv.read_csv() after loading it directly also works.
was:
When I create a new environment in conda:
{code:java}
conda create -n pyarrow-test python=3.7 pyarrow=0.14.1
{code}
and try to read a csv file:
{code:java}
import pyarrow as pa
pa.read_csv('test.csv'){code}
it fails with an error:
{code:java}
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'pyarrow' has no attribute 'csv'
{code}
However, loading it directly works:
{code:java}
import pyarrow.csv as pc
table = pc.read_csv('test.csv')
{code}
and using pa.csv.read_csv() after loading it directly also works.
> [Python] error loading csv submodule
> ------------------------------------
>
> Key: ARROW-6173
> URL: https://issues.apache.org/jira/browse/ARROW-6173
> Project: Apache Arrow
> Issue Type: Bug
> Components: Python
> Affects Versions: 0.14.1
> Environment: Windows 7, conda 4.7.11
> Reporter: Igor Yastrebov
> Priority: Major
> Labels: csv
>
> When I create a new environment in conda:
> {code:java}
> conda create -n pyarrow-test python=3.7 pyarrow=0.14.1
> {code}
> and try to read a csv file:
> {code:java}
> import pyarrow as pa
> pa.read_csv('test.csv'){code}
> it fails with an error:
> {code:java}
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> AttributeError: module 'pyarrow' has no attribute 'csv'
> {code}
> However, loading it directly works:
> {code:java}
> import pyarrow.csv as pc
> table = pc.read_csv('test.csv')
> {code}
> and using pa.csv.read_csv() after loading it directly also works.
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