Creating Custom Visualization Using Python Widget

Creating Custom Visualization Using Python Widget

The Python widget in RubiSight allows you to create custom data visualizations that are not already available in RubiSight.
To create a custom visualization, you need to write Python code in the code editor. The Python widget supports libraries such as Matplotlib, Plotly, and Seaborn.
Let's create a custom visualization using the Python widget.

  1. Create a dashboard and add the required dataset.
  2. From the widget list, select the Python widget.

    The code editor appears at the bottom.
  3. Click on Show.
  4. Write Python code with the required parameters. Refer to the code snippet below.

  5. Click Save & Plot.
    The following figure displays the customized chart:



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