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

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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: 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])
``````

This limits the view on the X-axis to the data between `25` and `50` and results in: 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.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 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: ### 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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Reference: stackabuse.com