Syntax: t (self, xlabel, ylabel, fontdictNone, labelpadNone, kwargs) Parameters: xlabel : str- The label text for the x-axis. Sign up to +=1 for access to these, video downloads, and no ads. Method 1: To set the axes label in the seaborn plot, we use () function from the matplotlib library of python. There exists 3 quiz/question(s) for this tutorial.
Next, we can assign the plot's title with plt.title, and then we can invoke the default legend with plt.legend(). With plt.xlabel and plt.ylabel, we can assign labels to those respective axis. Plt.title('Interesting Graph\nCheck it out') edit: with an example of marking an arbitrary subset of points, as requested in the comments: import numpy as np import matplotlib.pyplot as plt xs np.linspace(-np.pi, np.pi, 30) ys np.sin(xs) markerson 12, 17, 18, 19 plt.plot(xs, ys, '-gD', markeverymarkerson, label'line with select markers') plt.legend() plt. 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. Example Get your own Python Server Add labels to the x- and y-axis: import numpy as np import matplotlib.pyplot as plt x np. To start: import matplotlib.pyplot as plt Create Labels for a Plot With Pyplot, you can use the xlabel () and ylabel () functions to set a label for the x- and y-axis. 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 this tutorial, we're going to cover legends, titles, and labels within Matplotlib.
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