Pyplatform-reporting package provides function for managing hyper datasources on Tableau server.
Project description
Pyplatform-reporting package provides function for managing hyper datasources on Tableau server.
Installation
pip install pyplatform-reporting
Authentication and environment variables
Refer to main page for documentation on authentication
Exploring the modules
from pyplatform.reporting import *
show_me()
Usage
listing Tableau server datasources and reading hyper datasource into pandas dataframe
from pyplatform.reporting import *
tableau_server_list_resources(resource='datasources',output_option='DICT')
datasource_name = 'sample superstore'
hyper_filepath = tableau_server_download_hyper(datasource_name)
df= hyper_to_df(hyper_filepath)
uploading pandas dataframe as hyper datasource on Tableau server
from pyplatform.reporting import *
# df #TODO create dataframe as source
hyper_filepath = df_to_hyper(df,filepath='Sample superstore.hyper')
datasource_name = tableau_server_upload_hyper(hyper_filepath)
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