Visualize with Python

Visualizations allow you to transform entire data sheets or specific cell selections into charts to help you understand your data. Anaconda provides a variety of charts so you can present your data in a way that makes sense for your use case.

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Creating a chart

Create a new chart using the following steps:

1. Under Visualizations, click Visualize with Python.

2. Click + New Chart.

3. Select a chart type from the list of charts.

4. Select your source data range and configure the controls on the Setup tab.

5. (Optional) Customize your chart further with the options provided on the Design tab.

6. Click Create.

7. Set the location for the chart to render, then click OK. The chart renders within the confines of the cell.

   To move a chart to a new cell after creating it, click actions beside the chart, then select Move.

8. To properly view the chart, select the cell, then click Create Reference.

   The chart displays as an enlarged copy. If you’d prefer to view the enlarged chart only when needed, you can delete the enlarged copy and recreate it at any time.

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Editing a chart

Edit an existing chart by adjusting the parameters provided on the Setup and Design tabs or by manually configuring the code on the Code tab.