![]() ![]() Then you can use Python scripts to apply supported functions to data from your flow using a pandas dataframe. To include Python scripts in your flow, you need to configure a connection between Tableau and a TabPy server. By sending Python commands to an external service through Tableau Prep Builder, you can easily extend your data preparation options by performing actions like adding row numbers, ranking fields, filling down fields and performing other cleaning operations that you might otherwise do using calculated fields. Python is a widely used high-level programming language for general-purpose programming. For the most up-to-date information, please consult the python documentation and support. Please note that while we make every effort to keep references to third-party content accurate, the information we provide here might change without notice as python changes. Disclaimer: This topic includes information about a third-party product.
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