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Covers Python 3 and Python 2 Emphasizing points You can plot as much data as you want on one plot. Here we re-plot the first and last points larger to emphasize them. import matplotlib.pyplot as plt x_values = list(range(1000)) squares = [x**2 for x in x_values] plt.scatter(x_values, squares, c=squares, cmap=plt.cm.Blues, edgecolor='none', s=10)
scatter(x, y)# A scatter plot of y vs. x with varying marker size and/or color. See scatter.
This example showcases a simple scatter plot. The use of the following functions, methods, classes and modules is shown in this example:
In this tutorial, you'll learn how to create scatter plots in Python, which are a key part of many data visualization applications. You'll get an introduction to plt.scatter(), a versatile function in the Matplotlib module for creating scatter plots.
Mar 9, 2024 · Scatter plots are widely used to observe and show relationships between two numeric variables. Simple Scatter Plot Example. Creating your first scatter plot with Matplotlib is straightforward. Here’s how you can plot a simple scatter plot showing the relationship between two variables:
Fundamentally, scatter works with 1D arrays; x, y, s, and c may be input as N-D arrays, but within scatter they will be flattened. The exception is c, which will be flattened only if its size matches the size of x and y. Examples using matplotlib.pyplot.scatter #
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Plotting a scatter of points¶ A simple example showing how to plot a scatter of points with matplotlib.