How to customize the legend of a Matplotlib scatter plot with different markers for each category?
I've hit a wall trying to I'm working on a project and hit a roadblock... I'm trying to create a scatter plot using Matplotlib where I want to display different markers for multiple categories in my dataset. I have a DataFrame with a categorical column named 'Category' and I want to represent each unique category with a distinct marker style while using the same color for all markers. I attempted to create the plot using the following code: ```python import pandas as pd import matplotlib.pyplot as plt # Sample data data = { 'x': [1, 2, 3, 4, 5, 6], 'y': [2, 3, 5, 7, 11, 13], 'Category': ['A', 'B', 'A', 'B', 'A', 'B'] } df = pd.DataFrame(data) # Unique categories and their corresponding markers markers = {'A': 'o', 'B': 's'} plt.figure(figsize=(8, 5)) for category, marker in markers.items(): subset = df[df['Category'] == category] plt.scatter(subset['x'], subset['y'], marker=marker, label=category) plt.legend() plt.title('Scatter plot with custom markers') plt.xlabel('X-axis') plt.ylabel('Y-axis') plt.grid(True) plt.show() ``` However, when I run this code, I get a legend that shows the correct categories but the markers seem to overlap when displayed. I was expecting to see distinct shapes for each category in the legend, but it seems like they are not being represented correctly, and they do not reflect the markers used in the plot. Additionally, I noticed that the plot does not maintain the same color for each marker as I had intended. I would like to know how to customize the legend to correctly show the distinct markers for each category without overlap, and ensure that they are consistent with the markers used in the plot. Any advice on improving this implementation would be greatly appreciated! This is part of a larger CLI tool I'm building. Any help would be greatly appreciated! This is for a desktop app running on CentOS.