Skip to content
Related Articles
Get the best out of our app
GeeksforGeeks App
Open App

Related Articles

Matplotlib.pyplot.colorbar() function in Python

Improve Article
Save Article
Like Article
Improve Article
Save Article
Like Article

Colorbars are a visualization of the mapping from scalar values to colors. In Matplotlib they are drawn into a dedicated axis.

Note: Colorbars are typically created through Figure.colorbar or its pyplot wrapper pyplot.colorbar, which uses make_axes and Colorbar internally. As an end-user, you most likely won’t have to call the methods or instantiate the classes in this module explicitly.

matplotlib.pyplot.colorbar() in python

The colorbar() function in pyplot module of matplotlib adds a colorbar to a plot indicating the color scale.

Syntax:matplotlib.pyplot.colorbar(mappable=None, cax=None, ax=None, **kwarg)


ax: This parameter is an optional parameter and it contains Axes or list of Axes.

**kwarg(keyword arguments): This parameter is an optional parameter and are of two kinds:   

colorbar properties:

extend:{‘neither’, ‘both’, ‘min’, ‘max’} makes pointed end(s) for out-of-range

label:The label on the colorbar’s long axis.  

ticks:None or list of ticks or Locator.     

Returns:colorbar which is an instance of the class ‘matplotlib.colorbar.Colorbar’.      

Below examples illustrate the matplotlib.pyplot.colorbar() function in matplotlib.pyplot:

Example #1: To Add a horizontal colorbar to a scatterplot.


# Python Program illustrating
# pyplot.colorbar() method
import numpy as np
import matplotlib.pyplot as plt
# Dataset
# List of total number of items purchased 
# from each products
purchaseCount = [100, 200, 150, 23, 30, 50,
                 156, 32, 67, 89]
# List of total likes of 10 products
likes = [50, 70, 100, 10, 10, 34, 56, 18, 35, 45]
# List of Like/Dislike ratio of 10 products
ratio = [1, 0.53, 2, 0.76, 0.5, 2.125, 0.56
         1.28, 1.09, 1.02]
# scatterplot
plt.scatter(x=purchaseCount, y=likes, c=ratio, cmap="summer")
plt.colorbar(label="Like/Dislike Ratio", orientation="horizontal")


Example #2: To Add a single colorbar to multiple subplots.


# Python Program illustrating
# pyplot.colorbar() method
import matplotlib.pyplot as plt
# creates four Axes
fig, axes = plt.subplots(nrows=2, ncols=2)
for ax in axes.flat:
    im = ax.imshow(np.random.random((10, 10)), vmin=0, vmax=1)
plt.colorbar(im, ax=axes.ravel().tolist())


Example #3: To Add colorbar to a non-mappable object.


# Python Program illustrating
# pyplot.colorbar() method
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
x = np.linspace(0, 5, 100)
N = 7
# colormap
cmap = plt.get_cmap('jet', N)
fig, ax1 = plt.subplots(1, 1, figsize=(8, 6))
for i, n in enumerate(np.linspace(0, 2, N)):
    y = x*i+n
    ax1.plot(x, y, c=cmap(i))
# Normalizer
norm = mpl.colors.Normalize(vmin=0, vmax=2)
# creating ScalarMappable
sm =, norm=norm)
plt.colorbar(sm, ticks=np.linspace(0, 2, N))


My Personal Notes arrow_drop_up
Last Updated : 11 Dec, 2020
Like Article
Save Article
Similar Reads
Related Tutorials