mutlilevel_treemap.py

import plotly.express as px

def treemap(traffic_df, metric='Users', path=['Medium', 'Source']):
    """Make in interactive treemap for two data dimensions/levels.
    
    Parameters:
    -----------
    
    traffic_df : A DataFrame containing two dimensions, and one or more metrics
    
    metric : The selected metric which you want to analyze
    
    path : The names of the two dimensions that make the levels of the tree map (order is important)
    
    Returns:
    --------
    
    A plotly Figure object that can be further edited
    """
    fig = px.treemap(traffic_df, path=[px.Constant(metric)] + path, template='none', values=metric, height=700)
    template = '<b>%{label}</b><br><br>Total: %{value:,d}<br>%{percentParent:.1%} of %{parent}<br>%{percentRoot:.1%} of %{root}'
    fig.data[0]['texttemplate'] = template
    fig.data[0]['hovertemplate'] = template
    return fig

Example downloadable treemap chart: https://bit.ly/3mrz9h5

Starting with a table containing two dimensions and multiple metrics:

Run treemap(metric, path) to get a treemap:

Interactive by default:

Select another metric for a different view: