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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:
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 ...
Labelcolor can be set globally using rcParams["legend.labelcolor"] (default: 'None'). If None, use rcParams["text.color"] (default: 'black'). numpoints int, default: rcParams["legend.numpoints"] (default: 1) The number of marker points in the legend when creating a legend entry for a Line2D (line).
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.
To add a title to the legend in Matplotlib, you can use the plt.gca().get_legend() function to access the legend object and set its properties, such as the title. import matplotlib.pyplot as plt x = [1, 2, 3, 4, 5] y1 = [2, 4, 6, 8, 10] y2 = [1, 3, 5, 7, 9] plt.plot(x, y1, label='Line 1') plt.plot(x, y2, label='Line 2') legend = plt.gca().get ...
22 Οκτ 2021 · Learn the easiest way to add a legend to your plot using the .legend() method. Learn more on Matplotlib and how to master this powerful library.
7 Μαρ 2024 · Method 1: Using Label and Legend. One common method for adding legend items is to assign labels to plot elements and then invoke the legend() function. This helps in associating custom labels with the plot elements that may not directly correspond with the original data labels or when adding annotations and proxy artists. Here’s an example:
