How to Add Group Labels to Bar Charts for Nested Data?

Adding Group Labels in Bar Charts

When creating bar charts with intricate data, it can be challenging to visually separate groups using solely labels on the x-axis. This article presents a custom solution to address this issue.

The provided data consists of a nested dictionary, representing multiple rooms and shelves, each containing different items and their corresponding values. The desired bar chart should clearly show the group labels corresponding to the shelves within each room.

Custom Solution

Since there was no ready-to-use solution in matplotlib, a custom function was developed to achieve the desired result:

def label_group_bar(ax, data):
    # Process data and convert to appropriate format
    ...

    # Create and customize bar chart with labels beneath
    ...

Implementation

The mk_groups function converts the provided dictionary into a form suitable for plotting, while the add_line function adds vertical lines to separate groups. The label_group_bar function integrates all these functionalities to generate the bar chart with group labels.

Usage

To use this custom solution, simply provide your data dictionary to the label_group_bar function and pass it the desired subplot. The resulting chart will have clearly separated groups, as shown below:

Example Output

Using the provided data, the generated bar chart is:

[Image of bar chart with group labels]

Conclusion

This custom solution provides a simple yet effective way to add group labels to bar charts, enhancing data visualization and comprehension.

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