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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 ...
Parameters: handleslist of (Artist or tuple of Artist), optional. A list of Artists (lines, patches) to be added to the legend.
1 Αυγ 2024 · To create a legend in Matplotlib, you can use the legend() function after plotting your data. This function adds a legend to your plot, which helps to identify different data series. import matplotlib.pyplot as plt # Plot data plt.plot([1, 2, 3], [4, 5, 6], label='Line 1') plt.plot([1, 2, 3], [6, 5, 4], label='Line 2') # Create a legend plt ...
Legend Demo# There are many ways to create and customize legends in Matplotlib. Below we'll show a few examples for how to do so. First we'll show off how to make a legend for specific lines.
fig, ax = plt. subplots line1, = ax. plot ([1, 2, 3], label = "Line 1", linestyle = '--') line2, = ax. plot ([3, 2, 1], label = "Line 2", linewidth = 4) # Create a legend for the first line. first_legend = ax. legend (handles = [line1], loc = 'upper right') # Add the legend manually to the Axes. ax. add_artist (first_legend) # Create another ...
30 Απρ 2016 · import matplotlib.pyplot as plt. x = np.array([1,2,3]) y = np.array([[2,2.2,3],[1,5,1]]) plt.plot(x,y.T[:,:]) plt.legend() plt.show() I want a legend that tells which line belongs to which row.
Understanding how to position legends, whether inside or outside a chart, can enhance data interpretation. This article offers a comprehensive guide on leveraging the legend() function in matplotlib for enhancing your data visualizations.
