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reading parquet file using python sdk
Hi, I am trying to read a parquet file using pandas and vaex. I can sucessfully read a .csv but I get the following error message when I try to download the parquet file with dbx.files_download : ...
Thanks for following up and sharing that. For reference, the URL parameters for shared links like that are documented here.
Greg-DB
Dropbox Community Moderator
Dropbox Community ModeratorYes, using files_list_folder/files_list_folder_continue and files_download (or files_download_to_file) requires more API calls so it would be less performant.
The files_download_zip method would return the requested data the same way files_download would, except that it would be zip data that you would need to unzip to access the original folder. Also, note that you can use files_download_zip_to_file if you want to save the zip data to a file. Can you share the code you're having trouble with for that, and indicate which line fails with that error?
When I try:
md, zipFile = dbx.files_download_zip('/County_test.parquet')
with ZipFile(zipFile, 'r') as zip:
with ZipFile(zipFile, 'r') as zip: fails with AttributeError: 'Response' object has no attribute 'seek'
I can't understand how to solve this
- Greg-DB
The files_download_zip method works like the files_download method, in that the second value it returns is the response object. To access the data from the response object, you would access the 'content' field like you did in your other code snippet. So, in this case, it would be 'zipFile.content'.
Beyond that, refer to the documentation for ZipFile, BytesIO, pandas, etc., for information on using those. Those aren't made by Dropbox so I can't offer support for those in particular.
Thank you for your support, I just managed to do it with dbx.files_download_zip but it takes more or less the same time to process.
Do you know if pandas or vaex support reading the data directly from a file in Dropbox?
md, zipFile = dbx.files_download_zip('/County.parquet')
file_list = []
with ZipFile(io.BytesIO(zipFile.content), 'r') as zip_ref:
for file in zip_ref.infolist():
if file.filename.endswith('.parquet'):
pd_df = pd.read_parquet(zip_ref.open(file.filename)) # this works
vdf = vaex.from_pandas(pd_df)
del pd_df
file_list.append(vdf)
conc_df = vaex.concat(file_list)
print(conc_df)- Greg-DB
I can't offer support for pandas or vaex themselves as they are not made by Dropbox. I suggest referring to the documentation for those for information on their capabilities.
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