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A simple plot for sine and cosine curves with a legend. Used matplotlib.pyplot. import math import matplotlib.pyplot as plt x=[] for i in range(-314,314): x.append(i/100) ysin=[math.sin(i) for i in x] ycos=[math.cos(i) for i in x] plt.plot(x,ysin,label='sin(x)') #specify label for the corresponding curve plt.plot(x,ycos,label='cos(x)') plt ...
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 ...
The elements to be added to the legend are automatically determined, when you do not pass in any extra arguments. In this case, the labels are taken from the artist. You can specify them either at artist creation or by calling the set_label() method on the artist: ax.plot([1, 2, 3], label='Inline label') ax.legend() or:
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 ...
22 Ιαν 2024 · To illustrate how to add a legend, let's start with a simple example. We'll create a basic line plot with matplotlib, a popular plotting library in Python. Here's a step-by-step guide to creating your first plot: import matplotlib.pyplot as plt. # Sample data.
This post explains how to customize the legend on a chart with matplotlib. It provides many examples covering the most common use cases like controling the legend location, adding a legend title or customizing the legend markers and labels.
23 Μαρ 2019 · Add legend to multiple plots in the same axis. While you can just pass a list with multiple texts to plt.legend (), it's better to label each plot individually so there are no errors. 1) Add a label parameter to each plot. Each line plot gets its own legend.
