How to Create Clear Grouped Bar Charts with Annotations in Matplotlib?

Creating Grouped Bar Charts and Annotations

Issue encountered

You're experiencing issues when attempting to create a grouped bar chart using matplotlib in Python. The resulting chart is not as expected.

Understanding the code

Your provided code has several sections:

1. Importing Data and DataFrame Configuration

• Importing necessary libraries: numpy and pandas.
• Reading data from a CSV file into a DataFrame (df) and sorting it based on 'Very interested' values.
• Dividing columns by 2233 to convert percentages.

2. Grouped Bar Chart Creation

• Setting up the figure and axes using plt.subplots.
• Creating rectangles for each category ('Very interested', 'Somewhat interested', 'Not interested') and setting their labels and colors.
• Adding labels, title, and adjusting axes.

3. Annotations

• Defining a function autolabel to add annotations above each bar.
• Applying the function to all three sets of rectangles.

Identifying the issue

The incorrect plot is likely due to the way rectangles are placed in the chart. Currently, the bars are positioned right next to each other, which results in the overlapping and distorted appearance.

Solution

To resolve this issue, you need to adjust the width w of each rectangle to create some space between them. You can achieve this by dividing 0.8 by the number of groups (in this case, 3).

<code class="python">w = 0.8 / 3</code>

This adjustment will separate the bars adequately, resulting in a clear and visually appealing grouped bar chart.

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