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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 ...
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 ...
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.
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 · Matplotlib Examples: Displaying and Configuring Legends. Last updated: 23 Oct 2022. Table of Contents. Add legend to plot. Add legend to multiple plots in the same axis. Add legend to axis. Change legend location. Disable legend. Change number of columns in legend.
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.
