[
https://issues.apache.org/jira/browse/ARROW-7996?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17055760#comment-17055760
]
Joris Van den Bossche commented on ARROW-7996:
----------------------------------------------
The error comes from deserializing the underlying numpy array. So this fails as
well with the same error:
{code}
arr = np.empty((0, 2))
serialized_data = context.serialize(arr)
context.deserialize(serialized_data.to_buffer())
{code}
while with {{arr = np.empty((0, 1))}}, it works.
> [Python] 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)
