Python Visualization

Create Python visualizations in Visual Notebooks.

Configuration

Field	Description
Name default=`Python Visualization`	A user-specified node name displayed in the workspace

Input	A dataframe in Visual Notebooks
Output	A Python visualization

Example output

Figure 1: Example output

Connect a Python Visualization node to an existing node.
- The data shown below is used in this example. It contains fictitious apple prices at various times.

Example input

Figure 2: Example input

Enter Python code that uses the Matplotlib library.
- The dataframe in Visual Notebooks is turned into a pandas dataframe called dataset. Refer to columns in the Visual Notebooks dataframe with dataset['columnname'].
Select "Run" to create a Python visualization.

Example Python visualization with Matplotlib

Figure 3: Example Python visualization with Matplotlib

Enter Python code that uses the pandas, NumPy, seaborn, or statsmodels libraries.
Select "Run" to create a Python visualization.

Example Python visualization with multiple libraries

Figure 4: Example Python visualization with multiple libraries