The matplotlib library in Python comes with a number of useful functions and customizations that help you modify your plot to a great extent. In this tutorial, we will look at how to set the axis range in a matplotlib plot with the help of some examples.

## Set Axis Limits using `xlim()`

and `ylim()`

You can use the `maplotlib.pyplot`

‘s `xlim()`

and `ylim()`

functions to set the axis ranges for the x-axis and the y-axis respectively. Pass the axis range (axis limits) as a tuple to these functions.

The following is the syntax –

import matplotlib.pyplot as plt # create a plot - for example, a scatter plot plt.scatter(x, y) # set the x-axis limit to (x1, x2) plt.xlim((x1, x2)) # set the y-axis limit to (y1, y2) plt.ylim((y1, y2))

Let’s now look at some examples of using the above syntax. For this, we will be using the US dollar to Indian rupee conversion data from 2011 to 2020. Let’s plot the data as a scatter plot.

import matplotlib.pyplot as plt # x values - years x = [2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020] # y values - 1 USD in INR y = [46.67, 53.44, 56.57, 62.33, 62.97, 66.46, 67.79, 70.09, 70.39, 76.38] # plot x and y on scatter plot plt.scatter(x, y) # add axes labels plt.xlabel('Year') plt.ylabel('1USD in INR')

Output:

## Example 1 – Set the x-axis range with `xlim()`

Let’s say you only want to see the data for 2014 to 2020. For this, you can set the x-axis limit using `xlim()`

function on the matplotlib pyplot object `plt`

.

# plot x and y on scatter plot plt.scatter(x, y) # add axes labels plt.xlabel('Year') plt.ylabel('1USD in INR') # set the x-axis range plt.xlim((2014, 2020))

Output:

## Example 2 – Set the y-axis range with `ylim()`

You can similarly modify the y-axis limit using the `ylim()`

function on the matplotlib pyplot object `plt`

.

**Data Science Programs By Skill Level**

**Introductory** ⭐

- Harvard University Data Science: Learn R Basics for Data Science
- Standford University Data Science: Introduction to Machine Learning
- UC Davis Data Science: Learn SQL Basics for Data Science
- IBM Data Science: Professional Certificate in Data Science
- IBM Data Analysis: Professional Certificate in Data Analytics
- Google Data Analysis: Professional Certificate in Data Analytics
- IBM Data Science: Professional Certificate in Python Data Science
- IBM Data Engineering Fundamentals: Python Basics for Data Science

**Intermediate ⭐⭐⭐**

- Harvard University Learning Python for Data Science: Introduction to Data Science with Python
- Harvard University Computer Science Courses: Using Python for Research
- IBM Python Data Science: Visualizing Data with Python
- DeepLearning.AI Data Science and Machine Learning: Deep Learning Specialization

**Advanced ⭐⭐⭐⭐⭐**

- UC San Diego Data Science: Python for Data Science
- UC San Diego Data Science: Probability and Statistics in Data Science using Python
- Google Data Analysis: Professional Certificate in Advanced Data Analytics
- MIT Statistics and Data Science: Machine Learning with Python - from Linear Models to Deep Learning
- MIT Statistics and Data Science: MicroMasters® Program in Statistics and Data Science

**🔎 Find Data Science Programs 👨💻 111,889 already enrolled**

Disclaimer: Data Science Parichay is reader supported. When you purchase a course through a link on this site, we may earn a small commission at no additional cost to you. Earned commissions help support this website and its team of writers.

Restricting or modifying the y-axis range is not as common as changing the x-axis range but depending upon the use case you may need to do it. In the above example, let’s change the y-axis range to 50 to 65.

# plot x and y on scatter plot plt.scatter(x, y) # add axes labels plt.xlabel('Year') plt.ylabel('1USD in INR') # set the y-axis range plt.ylim((50, 65))

Output:

Note that if you’re working with multiple subplots you can use the `set_xlim()`

and `set_ylim()`

functions on the individual `axes`

objects (for example `ax1`

) to change the axis limits for each subplot.

You might also be interested in –

- Change Font Size of elements in a Matplotlib plot
- Plot a Line Chart in Python with Matplotlib
- Create a Scatter Plot in Python with Matplotlib
- Change Background Color of Plot in Matplotlib
- Add Trendline to a Maplotlib Plot with Code and Output
- How to Add Title to a Plot in Matplotlib? (Code Examples with Output)

**Subscribe to our newsletter for more informative guides and tutorials. ****We do not spam and you can opt out any time.**