Bryant Menn created ARROW-2367: ---------------------------------- Summary: ListArray has trouble with sizes greater than kMaximumCapacity Key: ARROW-2367 URL: https://issues.apache.org/jira/browse/ARROW-2367 Project: Apache Arrow Issue Type: Bug Components: Python Affects Versions: 0.9.0 Reporter: Bryant Menn
When creating a Pandas dataframe with lists as elements as a column the following error occurs when converting to a {{pyarrow.Table}} object. {code} Traceback (most recent call last): File "arrow-2227.py", line 16, in <module> arr = pa.array(df['strings'], from_pandas=True) File "array.pxi", line 177, in pyarrow.lib.array File "error.pxi", line 77, in pyarrow.lib.check_status File "error.pxi", line 77, in pyarrow.lib.check_status pyarrow.lib.ArrowInvalid: BinaryArray cannot contain more than 2147483646 bytes, have 2147483647 {code} The following code was used to generate the error (adapted from ARROW-2227): {code} import pandas as pd import pyarrow as pa # Commented lines were used to test non-binary data types, both cause the same error v1 = b'x' * 100000000 v2 = b'x' * 147483646 # v1 = 'x' * 100000000 # v2 = 'x' * 147483646 df = pd.DataFrame({ 'strings': [[v1]] * 20 + [[v2]] + [[b'x']] # 'strings': [[v1]] * 20 + [[v2]] + [['x']] }) arr = pa.array(df['strings'], from_pandas=True) assert isinstance(arr, pa.ChunkedArray), type(arr) {code} Code was run using Python 3.6 with PyArrow installed from conda-forge on macOS High Sierra. -- This message was sent by Atlassian JIRA (v7.6.3#76005)