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  1. How can one create a legend for a line graph in Matplotlib's PyPlot without creating any extra variables? Please consider the graphing script below:

  2. Parameters: handleslist of (Artist or tuple of Artist), optional. A list of Artists (lines, patches) to be added to the legend.

  3. 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 ...

  4. 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 ...

  5. If you simply plot the lines and call ax.legend(), you will get the following: import matplotlib.pyplot as plt import numpy as np import matplotlib as mpl from matplotlib import cycler # Fixing random state for reproducibility np.random.seed(19680801)

  6. 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.

  7. 23 Μαρ 2019 · Add legend to plot. Call plt.legend([list-of-titles]). Note that the argument is a list of legends. Pass a list with a single element to have a single legend:

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