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  1. 1 Αυγ 2024 · Below are some examples that can see the Matplotlib interactive mode setup using Matplotlib.pyplot.legend () in Python: Add a Legend to a Matplotlib. In this example, a simple quadratic function \ ( y = x^2 \) is plotted against the x-values [1, 2, 3, 4, 5]. A legend labeled “single element” is added to the plot, clarifying the plotted data.

  2. Now I'd like to display a second legend on the same graph, with the meaning of each line style. It is possible to achieve that? How? Here is what my code looks like actually: d1 = algo1(p) d2 = algo2(p) d3 = algo3(p) pyplot.hold(True) c = next(cc) pyplot.plot(d1, '-', color=c, label="d1") pyplot.plot(d1, '--', color=c)

  3. 17 Ιουλ 2024 · This article will guide you through the process of placing two different legends on the same graph using Python's Matplotlib library. By the end of this tutorial, you will be able to enhance your graphs by providing clear and distinct legends for different data representations.

  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. 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.

  6. 23 Μαρ 2019 · Multiple examples on how to display and customize legends on matplotlib plots.

  7. 1 Αυγ 2024 · Throughout this comprehensive guide, we've explored various aspects of working with matplotlib legend, from basic usage to advanced customization techniques. We've covered topics such as: Adding basic legends to plots; Customizing legend location and appearance; Creating legends for different types of plots (scatter, bar, pie, 3D)

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