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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 ...
Parameters: handleslist of (Artist or tuple of Artist), optional. A list of Artists (lines, patches) to be added to the legend.
25 Οκτ 2015 · Try the following, you will see both lines show up on the legend: import matplotlib.pyplot as plt plt.plot([1, 2, 3], color='red', label='line one') plt.plot([4, 6, 8], color='blue', label='line two') plt.legend() plt.show()
Another option for creating a legend for a scatter is to use the PathCollection.legend_elements method. It will automatically try to determine a useful number of legend entries to be shown and return a tuple of handles and labels. Those can be passed to the call to legend.
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:
7 Δεκ 2023 · Add Legend to Axes in Matplotlib. Custom legend positioned in the upper-right corner with labels for the sine and cosine functions and a title. The overall plot is given a title (‘Sine and Cosine Functions in Specific Axes’) and labeled x and y axes.
