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Joris Van den Bossche commented on ARROW-7996: ---------------------------------------------- [~jdavidagudelo] Thanks for the report! A bit smaller reproducer (without involving writing to a file): {code} import pandas import pyarrow df = pandas.DataFrame({"col1": [], "col2": []}) context = pyarrow.default_serialization_context() serialized_data = context.serialize(df) context.deserialize(serialized_data.to_buffer()) {code} And when having an empty dataframe with only a single column, it actually works > Error serializing empty pandas DataFrame with pyarrow > ----------------------------------------------------- > > Key: ARROW-7996 > URL: https://issues.apache.org/jira/browse/ARROW-7996 > Project: Apache Arrow > Issue Type: Bug > Components: Python > Affects Versions: 0.16.0 > Reporter: Juan David Agudelo > Priority: Major > > The following code does not work: > > {code:python} > import pandas > import pyarrow > df = pandas.DataFrame({"timestamp": [], "value_123": [], "context_123": []}) > data = [df] > context = pyarrow.default_serialization_context() > serialized_data = context.serialize(data) > file_path = "file.txt" > with open(file_path, "wb") as f: > serialized_data.write_to(f) > with open(file_path, "rb") as f: > context = pyarrow.default_serialization_context() > decoded_data = context.deserialize(f.read()) > {code} > Throws the following error: > {code:java} > ArrowInvalid: strides must not involve buffer over run{code} > I am using Python 3.6.9 in Ubuntu 18.04 and the version of pyarrow is 0.16.0. -- This message was sent by Atlassian Jira (v8.3.4#803005)