[ https://issues.apache.org/jira/browse/ARROW-11600?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Bhavitvya Malik updated ARROW-11600: ------------------------------------ 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? -- This message was sent by Atlassian Jira (v8.3.4#803005)