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How to create a scatter chart using matplotlib
Educative Answers TeamA scatter plot is a type of plot that shows data as a collection of points. A point’s position depends on its two-dimensional value, where each value is positioned on either the horizontal or vertical dimension.
Matplotlib has a built-in function to create scatterplots called
scatter().
Syntax
Take a look at the syntax below:
matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, ...)
x and y are the data points on the x and y-axis. The function also has several other optional parameters such as color, area, alpha values, etc.
Click here for further details.
Code
The example below outputs a scatter plot that consists of randomly generated data points:
import numpy as np
import matplotlib.pyplot as plt
num = 50
x = np.random.rand(num)
y = np.random.rand(num)
# alpha value denotes the transparency. higher the value, more opaque the element is, visually
plt.scatter(x, y, c='red', alpha=0.8)
plt.title('Scatter plot')
plt.xlabel('x-axis')
plt.ylabel('y-axis')
plt.show()RELATED TAGS
matplotlib
python
scatter
chart
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