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I want to convert a Tableau .hyper file to a pandas dataframe. It is possible to convert a dataframe to a .hyper file, but unfortunately, I could not come up with a solution for this problem. How can you achieve this with python?

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  • You can connect to the hyper extract with Tableau Desktop for a one-time conversion, and then export to CSV from the data menu.

  • If you want to automate a repeatable process that doesn't require manually using Tableau Desktop, have your data provider supply the data in CSV or another format. In order to read from hyper extracts, Tableau does not currently provide a public API, just to create them. Mostly, they prefer people use Tableau to read from the extracts.

  • Tableau extracts are best considered as efficient mirrors of an original data source anyway - not as a definitive source - much like a materialized view in a database reflects underlying tables.

  • There are 2 other options to explore depending on your use case that can let you generate Tableau extracts under program control.

Further, enroll for an online training course to clear the Tableau Desktop Specialist Certification exam. I would recommend this Tableau Desktop Specialist Certification Program by Intellipaat. 

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