A 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
Take a look at the syntax below:
matplotlib.pyplot.scatter(x, y, s=None, c=None, marker=None, ...)
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.
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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()
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