pyplot is a sublibrary of Matplotlib that provides a collection of functions and classes for creating a variety of charts and plots in Python. It is a higher-level interface to the Matplotlib library, designed to make it easier for users to create simple plots quickly and easily.
pyplot provides a range of functions for creating various types of plots, including line plots, scatter plots, bar plots, histograms, and more. These functions allow users to specify the data to be plotted, the formatting of the plot, and other parameters such as labels, titles, and legends.
Here's an example of how to use
pyplot to create a simple line plot:
pythonimport matplotlib.pyplot as plt # Data x = [1, 2, 3, 4] y = [1, 4, 9, 16] # Plot plt.plot(x, y) # Labels plt.xlabel('X-axis label') plt.ylabel('Y-axis label') plt.title('Title') # Display the plot plt.show()
In this example, we import the
pyplot module as
plt. We then create two lists of data to be plotted (
y). We use the
plot function to create a line plot of the data, and then use the
title functions to add labels and a title to the plot. Finally, we use the
show function to display the plot.
pyplot is a powerful and easy-to-use tool for creating a variety of plots and visualizations in Python.
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