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You can do this either by using the label= keyword in each of your plt.plot() calls or by assigning your labels as a tuple or list within legend, as in this working example: import numpy as np import matplotlib.pyplot as plt x = np.linspace(-0.75,1,100) y0 = np.exp(2 + 3*x - 7*x**3) y1 = 7-4*np.sin(4*x) plt.plot(x,y0,x,y1) plt.gca().legend(('y0 ...
25 Απρ 2023 · Sure. ax.legend() has a two argument form that accepts a list of objects (handles) and a list of strings (labels). Use a dummy object (aka a "proxy artist") for your extra string. I picked a matplotlib.patches.Rectangle with no fill and 0 linewdith below, but you could use any supported artist.
from matplotlib.lines import Line2D from matplotlib.patches import Patch legend_elements = [Line2D ([0], [0], color = 'b', lw = 4, label = 'Line'), Line2D ([0], [0], marker = 'o', color = 'w', label = 'Scatter', markerfacecolor = 'g', markersize = 15), Patch (facecolor = 'orange', edgecolor = 'r', label = 'Color Patch')] # Create the figure fig ...
28 Ιουν 2024 · Adding a legend to a Seaborn point plot enhances the plot's interpretability by clearly indicating which colors or markers correspond to different data groups. In this article, we will explore how to create a point plot using Seaborn and how to add and customize a legend to improve the plot's readability.
23 Μαρ 2019 · Each line plot gets its own legend. Add legend to axis. For more info on how to plot multiple plots in the same Figure, see Matplotlib Subplots: Best Practices and Examples. If there are multiple axes on your plot, you can add legends to a single axis if you wish. Just call ax.legend()
How to modify the legend in D3.js-based javascript graphs. Seven examples of how to move, color, and hide the legend. New to Plotly? Hiding the Legend. var trace1 = { x: [0, 1, 2, 3, 4, 5, 6, 7, 8], y: [0, 3, 6, 4, 5, 2, 3, 5, 4], type: 'scatter' }; var trace2 = { x: [0, 1, 2, 3, 4, 5, 6, 7, 8], y: [0, 4, 7, 8, 3, 6, 3, 3, 4], type: 'scatter' };
y = np.sin(x[:, np.newaxis] + np.pi * np.arange(0, 2, 0.5)) lines = plt.plot(x, y) # lines is a list of plt.Line2D instances plt.legend(lines[:2], ['first', 'second']); I generally find in practice that it is clearer to use the first method, applying labels to the plot elements you'd like to show on the legend:
