![]() ![]() If you want to add a title to your legend, you can use the title parameter. This will increase the font size of the legend text.□ Python Set Legend Title You can pass a numeric value or a string like 'small', 'medium', or 'large' to set the font size: plt.legend(fontsize='large') To change the font size of the legend, you can use the fontsize parameter. This will place the legend in the upper-left corner of the plot.□ Python Set Legend Font Size Matplotlib allows you to use predefined locations like 'upper right', 'lower left', etc., or use a specific coordinate by passing a tuple: plt.legend(loc='upper left') You can easily change the location of the legend by using the loc parameter. This will place the legend slightly outside the right border of the plot, with its vertical center aligned with the plot center. For example, you could place the legend outside the plot to the right by passing (1.05, 0.5) as the argument: import matplotlib.pyplot as plt Python Set Legend PositionĪs you already know by now, you can place the legend at a specific position in the plot by using the bbox_to_anchor parameter. ![]() However, feel free to skip ahead to the following sections on plotting the legend outside the figure in Seaborn, Pandas, and Bokeh. This will help you create more meaningful and visually appealing visualizations. In this section, you’ll learn about some additional ways to customize the legend for your plots in Python using Matplotlib. Adjust the values in the rect parameter as needed to ensure the legend is not cut off. In this case, the rect parameter is a list, which specifies the normalized figure coordinates of the new bounding box for the subplots. # Automatically adjust the layout to accommodate the external legend Here’s an example demonstrating these steps:
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |