Bubble charts display data as a cluster of circles. The required data to create bubble chart needs to have the xy coordinates, size of the bubble and the colour of the bubbles. The colours can be supplied by the library itself.

Drawing a Bubble Chart

Bubble chart can be created using the DataFrame.plot.scatter() methods.

import matplotlib.pyplot as plt
import numpy as np 
# create datax = np.random.rand(40)
y = np.random.rand(40)
z = np.random.rand(40)
colors = np.random.rand(40) 
# use the scatter function
plt.scatter(x, y, s=z*1000,c=colors)
plt.show()

Its output is as follows −

2.1

Python – 3D Charts

Python is also capable of creating 3d charts. It involves adding a subplot to an existing two-dimensional plot and assigning the projection parameter as 3d.

Drawing a 3D Plot

3dPlot is drawn by mpl_toolkits.mplot3d to add a subplot to an existing 2d plot.

from mpl_toolkits.mplot3d import axes3d
import matplotlib.pyplot as plt  
chart = plt.figure()
chart3d = chart.add_subplot(111, projection='3d') 
# Create some test data.X, Y, Z = axes3d.get_test_data(0.08) 
# Plot a wireframe.chart3d.plot_wireframe(X, Y, Z, color='r',rstride=15, cstride=10) 
plt.show()

Its output is as follows −

2.2

So, this brings us to the end of blog. This Tecklearn ‘Bubble Charts and 3D Charts in Python’ blog helps you with commonly asked questions if you are looking out for a job in Python Programming. If you wish to learn Python and build a career in Data Science domain, then check out our interactive, Python with Data Science Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

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Define Python
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Python installation
Windows, Mac & Linux distribution for Anaconda Python
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Looping in Python
Data Structures: List, Tuple, Dictionary, Set
First Python program
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Tuple
Dictionary
Set and Frozen Set
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Pandas for data analysis and machine learning
Pandas for data analysis and machine learning Continued
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Types of plots – bar graphs, pie charts, histograms
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