TableauDesktopPy 1.1.0

Tools for extracting metadata from Tableau Desktop workbook files.

TableauDesktopPy

Tools for extracting metadata from Tableau Desktop workbook files. This package parses the underlying xml of a workbook to retrieve information on its style and data connections.

Installation

Install with pip:

pip install TableauDesktopPy

Usage

1. Provide a valid Tableau workbook file ('.twb' or '.twbx') to declare a Workbook object:

import TableauDesktopPy as tdp

my_workbook = tdp.Workbook("C:\Users\bpewyllie\test_workbook.twbx")

2. Then call any of the following attributes to retrieve workbook metadata:

• Workbook.colors
• Workbook.custom_sql
• Workbook.excel
• Workbook.fonts
• Workbook.fields
• Workbook.onedrive
• Workbook.images
• Workbook.shapes
• ... and more

3. Other metadata may be retrieved by calling the Workbook.xml attribute and parsing with an xml parser such as BeautifulSoup.

4. The module also provides methods for modifying a workbook's xml. Workbook.hide_field(), for example, hides an arbitrary field from the workbook's xml. To make the changes appear when opening the workbook in Tableau, first call the Workbook.save() method. Currently only saving as a .twb file is supported. To prevent confusion, it is best to run this method with the workbook closed.

Release notes

1.1.0 (1/29/2021)

• Ability to save workbooks to .twbx files

• Change default fonts of workbooks

1.0.9 (1/22/2021)

• Address README template not being accessible

1.0.8 (1/21/2021)

• Include datasource in parenthetical in any field-related attribute to overcome duplicate-named fields from different datasources

• Create method for building workbook README file

• Create save method for overwriting workbooks

• Create method for changing fonts

• Fix some bugs with retrieving field names when parameters are present

To do

• Create worksheet, datasource subclasses (long-term goal: allow more precise manipulation)

• Create method for changing file paths of images and data files