How to Set Axis Range (xlim, ylim) in Matplotlib - Stack Abuse

How to Set Axis Range (xlim, ylim) in Matplotlib

Introduction

Matplotlib is one of the most widely used data visualization libraries in Python. Much of Matplotlib's popularity comes from its customization options - you can tweak just about any element from its hierarchy of objects.

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.

Creating a Plot

Let's first create a simple plot:

import matplotlib.pyplot as plt
import numpy as np

fig, ax = plt.subplots(figsize=(12, 6))

x = np.arange(0, 10, 0.1)
y = np.sin(x)
z = np.cos(x)

ax.plot(y, color='blue', label='Sine wave')
ax.plot(z, color='black', label='Cosine wave')

plt.show()

Here, we've plotted two sine functions, starting at 0 and ending at 100 with a step of 0.1. Running this code yields:

matplotlib plot subplots

Now, we can tweak the range of this axis, which currently goes from 0 to 100.

Setting Axis Range in Matplotlib

Now, if we'd like to truncate that view, into a smaller one or even a larger one, we can tweak the X and Y limits. These can be accessed either through the PyPlot instance, or the Axes instance.

How to Set X-Limit (xlim) in Matplotlib

Let's first set the X-limit, using both the PyPlot and Axes instances. Both of these methods accept a tuple - the left and right limits. So, for example, if we wanted to truncate the view to only show the data in the range of 25-50 on the X-axis, we'd use xlim([25, 50]):

fig, ax = plt.subplots(figsize=(12, 6))

x = np.arange(0, 10, 0.1)
y = np.sin(x)
z = np.cos(x)

ax.plot(y, color='blue', label='Sine wave')
ax.plot(z, color='black', label='Cosine wave')

plt.xlim([25, 50])
plt.show()

This limits the view on the X-axis to the data between 25 and 50 and results in:

how to set x limit axis range in matplotlib

This same effect can be achieved by setting these via the ax object. This way, if we have multiple Axes, we can set the limit for them separately:

import matplotlib.pyplot as plt
import numpy as np

fig = plt.figure(figsize=(12, 6))

x = np.arange(0, 10, 0.1)
y = np.sin(x)
z = np.cos(x)

ax = fig.add_subplot(121)
ax2 = fig.add_subplot(122)

ax.set_title('Full view')
ax.plot(y, color='blue', label='Sine wave')
ax.plot(z, color='black', label='Cosine wave')

ax2.set_title('Truncated view')
ax2.plot(y, color='blue', label='Sine wave')
ax2.plot(z, color='black', label='Cosine wave')

ax2.set_xlim([25, 50])

plt.show()

how to set x limit axis range for subplots in matplotlib

How to Set Y-Limit (ylim) in Matplotlib

Now, let's set the Y-limit. This can be achieved with the same two approaches:

ax.plot(y, color='blue', label='Sine wave')
ax.plot(z, color='black', label='Cosine wave')

plt.ylim([-1, 0])

Or:

ax.plot(y, color='blue', label='Sine wave')
ax.plot(z, color='black', label='Cosine wave')

ax.set_ylim([-1, 0])

Both of which result in:

how to set y limit axis range in matplotlib

Conclusion

In this tutorial, we've gone over how to set the axis range (i.e. the X and Y limits) using Matplotlib in Python.

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Last Updated: May 13th, 2021

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