We can choose not to label our plot as we are plotting by ignoring labels inside the plot function. The legend function displays all plots that have been labeled with keyword labels, and they are in the same order as when they were plotted. Therefore, if you want the legend to work, you must make sure to include labels in the plot function. The labels included in the plot function will be automatically detected by the legend function if no argument is mentioned. Legend without labels and handles import numpy as np Basically legend function can be in three forms. This section will learn how to insert a legend into the plot. Without a legend, a graph would be difficult to interpret.Ī lot of time graph can be self-explanatory but having a title in the graph labels on the axis and a legend that explains more about the graph. They provide context for the different areas of the graph. How to plot multiple graphs in one figure legend in python This is another method in which we are superimposing the other graphs into one. Plt.suptitle("Superimposing both graphs in one")Īs we can see, we are plotting the graphs one by one, and all the graphs can be seen in a single plot. We can do this by directly plotting the graphs one by one.įor an example, see the code below. Now, we will explore how to plot multiple graphs in one plot by superimposing them. We have previously learned how to plot multiple graphs using the subplot() function of the matplotlib library. – – (double dash) = these are the patterns that are going to be printed on screen (See the output image) How to plot multiple graphs in python on the same plot
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