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https://issues.apache.org/jira/browse/ARROW-11600?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Bhavitvya Malik updated ARROW-11600:
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Description:
{{data = np.zeros((10,8), dtype=np.uint8)}}
{{out = pa.array(list(data))}}
{{out.type # ListType(list<item: uint8>)}}
{{data = np.zeros((3,4,6), dtype=np.uint8)}}
{{out = pa.array(list(data)) # Throws error ArrowInvalid: Can only convert
1-dimensional array values}}
Even though it's working on 2D numpy arrays perfectly, it doesn't work on
N-Dimensional numpy arrays (where N > 2). Is possible to extend the current
feature for inner elements with dimension greater than 1?
was:
{{}}
{{data = np.zeros((10,8), dtype=np.uint8)}}
{{out = pa.array(list(data))}}
{{out.type # ListType(list<item: uint8>)}}
{{data = np.zeros((3,4,6), dtype=np.uint8)}}
{{out = pa.array(list(data)) # Throws error ArrowInvalid: Can only convert
1-dimensional array values}}
Even though it's working on 2D numpy arrays perfectly, it doesn't work on
N-Dimensional numpy arrays (where N > 2). Is possible to extend the current
feature for inner elements with dimension greater than 1?
> Convert multi dimensional numpy array to pyarrow array
> ------------------------------------------------------
>
> Key: ARROW-11600
> URL: https://issues.apache.org/jira/browse/ARROW-11600
> Project: Apache Arrow
> Issue Type: New Feature
> Components: Python
> Affects Versions: 2.0.0, 3.0.0
> Reporter: Bhavitvya Malik
> Priority: Major
>
> {{data = np.zeros((10,8), dtype=np.uint8)}}
> {{out = pa.array(list(data))}}
> {{out.type # ListType(list<item: uint8>)}}
> {{data = np.zeros((3,4,6), dtype=np.uint8)}}
> {{out = pa.array(list(data)) # Throws error ArrowInvalid: Can only convert
> 1-dimensional array values}}
> Even though it's working on 2D numpy arrays perfectly, it doesn't work on
> N-Dimensional numpy arrays (where N > 2). Is possible to extend the current
> feature for inner elements with dimension greater than 1?
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