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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 *

print(tableau_server_list_resources())
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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