7/9/2023 0 Comments Pyplot scatter axis range![]() ![]() 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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