For an overview of the plotting methods we provide, see Plot types. This page contains example plots. Click on any image to see the full image and source code. For longer tutorials, see our tutorials page. You can also find external resources and a FAQ in our user guide. Tagging! You can also browse the example gallery by tags.

Aug 13, 2021 · Here you'll find a host of example plots with the code that generated them. Here's how to create a line plot with text labels using plot(). Simple Plot ¶. Multiple axes (i.e. subplots) are created with the subplot() function: Subplot ¶. Matplotlib can display images (assuming equally spaced horizontal dimensions) using the imshow() function.

Overview of many common plotting commands provided by Matplotlib. See the gallery for more examples and the tutorials page for longer examples. Plots of pairwise (x, y), tabular (v a r _ 0, ⋯, v a r _ n), and functional f (x) = y data. Plots of the distribution of at least one variable in a dataset.

Apr 25, 2025 · Matplotlib is a Python library that can be used for plotting graphs and figures. Plotting multiplots or multiple plots are often required either for comparing the two curves or show some gradual changes in the multiple plots, and this can be done using Subplots.

Jul 26, 2024 · In this example, the code uses Matplotlib to create a simple line plot. It defines x and y values for data points, plots them using `plt.plot ()`, and labels the x and y axes with `plt.xlabel ()` and `plt.ylabel ()`. The plot is titled “My first graph!” using `plt.title ()`.

Jan 16, 2025 · Matplotlib supports a variety of plots including line charts, bar charts, histograms, scatter plots, etc. Let’s understand them with implementation using pyplot. 1. Line Chart. Line chart is one of the basic plots and can be created using the plot () function. It is used to represent a relationship between two data X and Y on a different axis.

Jul 17, 2023 · Matplotlib, a popular data visualization library in Python, provides a wide range of tools to create informative and visually appealing graphs. In this article, we will explore 10 examples of...

Apr 20, 2025 · Let’s now learn how to use Matplotlib in Python. Please ensure either you have opened our online matplotlib compiler or press the “run code” button in the top left of the coding snippets. Exercise 1: Your First Plot – Website Traffic Trend. The purpose of this example is to make you aware of the Matplotlib core components.

May 9, 2024 · Matplotlib is a powerful Python visualization library that enables users to create a wide range of plots, graphs, and interactive visualizations. In this article, we will explore a variety of examples showcasing the capabilities of Matplotlib.

We can use the Matplotlib visualization library in Python to portray the graphs. The six most commonly used Plots come under Matplotlib. These are: Line plots are drawn by joining straight lines connecting data points where the x-axis and y-axis values intersect. Line plots are the simplest form of representing data.