Learn how to make beautiful GUI apps
in Python using the Kivy framework.
Comprehensive, for Kivy beginners, easy to follow.
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ebook / paperback (black and white) / paperback (full color)
The Colorbar for Scatter Plots
Some time ago we were talking about scatter plots. In the previous article we were talking about colorbars. In this article we’ll use a colorbar for the colors of the points.
Let’s start by creating a scatter plot. The points will be circles differing in color and size:
%matplotlib inline
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
x = np.linspace(10, 50, 100)
# Let's randomize the position of Y values.
a = np.random.randn(100)
y = x * a
# Let's set alpha to 0.5. The size and color will depend on the value of Y.
fig, ax = plt.subplots()
ax.scatter(x, y, marker='o', alpha=.5, s=y*50, c=y)
Now we have a nice scatter plot. All we need to do is add the legend. Let’s create a colorbar then:
fig, ax = plt.subplots()
# Let's assign the scatter plot to a variable.
p = ax.scatter(x, y, marker='o', alpha=.5, s=y*50, c=y)
# Now we can use the variable to create the colorbar.
fig.colorbar(p)
Make Awesome Games and Other 3D Apps
with Panda3D and Blender using Python.
Cool stuff, easy to follow articles.
Get the magazine here (PDF).
Learn the basics of Python, including OOP.
with lots of exercises, easy to follow
The course is available on Udemy.
Learn the basics of 3D modeling in Blender.
step-by-step, easy to follow, visually rich
The course is available on Udemy and on Skillshare.