![]() ![]() To set the x-axis range, you can use the xlim function, which takes two arguments: the lower and upper limits of the x-axis. These functions can be accessed either through the PyPlot instance or the Axes instance. ![]() To adjust the axis range, you can use the xlim and ylim functions. However, you might want to modify the axis range for better visualization or to focus on a specific region of the plot. The x-axis currently ranges from 0 to 100, and the y-axis ranges from -1 to 1. Running this code produces the following plot: The sequence starts at 0 and ends at 10 with a step of 0.1. In this example, we've plotted the values created by applying a sine and cosine function to the sequence generated using Numpy's arange() Function. Optionally, you could add ax.legend() to display the labels for each wave. In the above code, we create a figure and axis object with plt.subplots(), generate x, y, and z data points using numpy, and then plot the sine and cosine waves on the same axis. Let's first create a simple plot to work with: import matplotlib.pyplot as pltĪx.plot(y, color= 'blue', label= 'Sine wave')Īx.plot(z, color= 'black', label= 'Cosine wave') ![]() This can be useful when you want to focus on a particular portion of your data or to ensure consistency across multiple plots. In this tutorial, we'll take a look at how to set the axis range (xlim, ylim) in Matplotlib, to truncate or expand the view to specific limits. Much of Matplotlib's popularity comes from its customization options - you can tweak just about any element from its hierarchy of objects. Matplotlib is one of the most widely used data visualization libraries in Python. ![]()
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