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https://issues.apache.org/jira/browse/ARROW-7996?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17055756#comment-17055756
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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.



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