Matplotlib python rename x label7/25/2023 Sign up to =1 for access to these, video downloads, and no ads. There exists 3 quiz/question(s) for this tutorial. You need to pass a string for the label text to the function. Next, we can assign the plot's title with plt.title, and then we can invoke the default legend with plt.legend(). You can customize the title of your matplotlib chart with the xlabel() and ylabel() functions. With plt.xlabel and plt.ylabel, we can assign labels to those respective axis. Plt.title('Interesting Graph\nCheck it out') The rest of our code: plt.xlabel('Plot Number') Here, we plot as we've seen already, only this time we add another parameter "label." This allows us to assign a name to the line, which we can later show in the legend. This way, we have two lines that we can plot. To start: import matplotlib.pyplot as plt In some cases, it is not possible to set the label of the handle, so it is possible to pass through the list of labels to legend(): fig,axplt.subplots()lineup,ax.plot(1,2,3,label'Line 2')linedown,ax.plot(3,2,1,label'Line 1')ax.legend(lineup,linedown,'Line Up','Line Down') Creating artists specifically for adding to the legend (aka. A lot of times, graphs can be self-explanatory, but having a title to the graph, labels on the axis, and a legend that explains what each line is can be necessary. In order to change the axis labels we use the txlabel () and tylabel () methods as in the following example. In this tutorial, we're going to cover legends, titles, and labels within Matplotlib. A simple line plot example using Matplotlib Changing the axis labels We can change the labels and the axis values themselves.
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