Otherwise, the output will use the fields from the input data, which are taken from the step that is prior to the script step in the flow. If you want to return different fields than what you input, you'll need to include a get_output_schema function in your script that defines the output and data types. Note: Date and DateTime must always be returned as a valid string. String in ISO_DATE_TIME format “YYYY-MM-DDT:HH:mm:ss” with optional zone offset. String in ISO_DATE format “YYYY-MM-DD” with optional zone offset. The following data types are supported: Data type in Tableau Prep Builder 'Supplies Group Encoded' : le.fit_transform(input), 'Competitor Type Encoded' : le.fit_transform(input), 'Opportunity Result Encoded' : le.fit_transform(input), 'Route To Market Encoded' : le.fit_transform(input), 'Region Encoded' : le.fit_transform(input), 'Supplies Subgroup Encoded' : le.fit_transform(input), You will also need to return the results in a pandas (pd.DataFrame) using supported data types.įor example to add encoding to a set of fields in a flow, you could write the following script: def encode(input): This will call your data from Tableau Prep Builder. When you create your script, include a function that specifies a pandas (pd.DataFrame) as an argument of the function. To disable the TabPy connection enter the following command For example -tabpy-connect-timeout-ms 900000. Specify the -tabpy-connect-timeout-ms in milliseconds.Tsm security maestro-tabpy-ssl enable -connection-type, specify the certificate file -cf in the command line. Tableau Cloud: Creating or running flows with script steps isn't currently supported.Įnter the following commands to set the host address, port values and connect timeout:.Version 2020.4.1 and later: You can create, edit, and run flows that include script steps in Tableau Server.
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