Banner on how to change figure size in Matplotlib You’ve just created an amazing plot in Python with Matplotlib but would like to change figure size. I will show you three different approaches to changing figure size in Matplotlib. All code samples from article can be used in Python script or Jupyter Notebook (Jupyter Lab).

Important: The figure size in Matplotlib is in inches.

In all examples, I’m using Matplotlib in version 3.6.2.

# how to check your Matplotlib version
import matplotlib

>> 3.6.2

You can create an empty figure to check the default width and height in Matplotlib:

from matplotlib import pytplot as plt

f = plt.figure()
print(f.get_figwidth(), f.get_figheight())

>> 6.0 4.0

On my system (Ubuntu 20.04, Python 3.8), the default figure size is 6.0 inches in width and 4.0 inches in height.

The figure also has a dpi parameter that can be adjusted with the figure size. The dpi is an acronym for dots per inch. It sets a number of pixels per inch. We need to multiply the figure size by dpi to get the figure size in pixels. On my system default dpi is 72.0:

from matplotlib import pytplot as plt

f = plt.figure()

>> 72.0

Matplotlib dpi parameter can be used to scale fonts, line width, or marker size. It works as a magnifying glass. The figure size in Matplotlib depends on figsize and dpi.

The outline of methods to change figure size in Matplotlib:

  • set figsize and dpi during figure creation,
  • set size and dpi with setters functions: set_figwidth, set_figheight, set_size_inches, set_dpi,
  • set size and dpi for all plots with rcParams.

1. Set figsize and dpi in the figure

The most straightforward way to set figure size is to set a figsize argument when creating a new figure. Below are a few examples with different figure sizes.

plt.figure(figsize=(3, 3))
_ = plt.plot([3, 4, 2, 5])

Change figure size 3,3

plt.figure(figsize=(6, 3))
_ = plt.plot([3, 4, 2, 5])

Change figure size 6,3

plt.figure(figsize=(3, 6))
_ = plt.plot([3, 4, 2, 5])

Change figure size 3,6

The dpi can be passed as an argument to the figure() function. We can control the width of objects (axes, fonts, lines, markers) in the figure. Below are two figures, both having the same pixel size: 432x432 but different dpi and figsize values:

  • 432x432 = 6x6 * 72,
  • 432x432 = 3x3 * 144.
plt.figure(figsize=(6, 6), dpi=72)
_ = plt.plot([3, 4, 2, 5])

Change figure size 6,6 dpi 72

plt.figure(figsize=(3, 3), dpi=144)
_ = plt.plot([3, 4, 2, 5])

Change figure size 3,3 dpi 144

As you can see in the above images, figure with a larger dpi has wider lines, axes, larger font, and fewer tick labels - dpi magnifies all elements. You can read an amazing explanation of the relationship between dpi and figsize in this StackOverflow response.

2. Use set_figwidth, set_figheight, set_size_inches, set_dpi

The next way to change figure size in Matplotlib is to use following functions:

  • set_figwidth - sets figure width in inches,
  • set_figheight - sets figure height in inches,
  • set_size_inches - set figure width and height in inches,
  • set_dpi - sets figure dpi.

Below are two examples that change figure size and set dpi.

# create figure
f = plt.figure()

# set width, height, dpi

# plot
_ = plt.plot([3,4,2,5])

Set figure width height dpi

Change figure size with set_size_inches(w, h):

# create figure
f = plt.figure()

# set size, dpi
f.set_size_inches(4, 2)

# plot
_ = plt.plot([3,4,2,5])

Set size inches

3. Change figure size with rcParams

The last option is to set figure size globally to all figures plotted in the script or notebook. We use this rcParams.

# set figsize and dpi for all figures
plt.rcParams["figure.figsize"] = (4,2)
plt.rcParams["figure.dpi"] = 144

Set rcParams

This option sets figure size and dpi for all figures in the current script or notebook.

For Jupyter Notebook users: please set rcParams in a separate cell below imports. Setting rcParams in the same cell as matplotlib import will not make any change.


Matplotlib is a popular plotting library for Python. You need to correctly understand the relationship between figure size and dpi to get the desired size of the plot. You can set figure size and dpi when creating a new figure. If you already have a figure created (or it was created by another package) then you can manipulate its size and dpi with set_figwidth, set_figheight, set_size_inches, set_dpi functions. There is an option to set figure size and dpi globally to all figures in the script (or notebook) by using rcParams.

Convert Python Notebooks to Web Apps

We are working on open-source framework Mercury for converting Jupyter Notebooks to interactive Web Applications.


Articles you might find interesing

  1. 8 surprising ways how to use Jupyter Notebook
  2. Create a dashboard in Python with Jupyter Notebook
  3. Build Computer Vision Web App with Python
  4. Develop NLP Web App from Python Notebook
  5. Build dashboard in Python with updates and email notifications
  6. Share Jupyter Notebook with non-technical users

Robots Integration

Join our newsletter

Subscribe to our newsletter to receive product updates