matplotlib.pyplot.plot# matplotlib.pyplot. plot (* args, scalex = True, scaley = True, data = None, ** kwargs) [source] # Plot y versus x as lines and/or markers. Call signatures:

matplotlib.pyplot is a collection of functions that make matplotlib work like MATLAB. Each pyplot function makes some change to a figure: e.g., creates a figure, creates a plotting area in a figure, plots some lines in a plotting area, decorates the plot with labels, etc.

The plot() function is used to draw points (markers) in a diagram. By default, the plot() function draws a line from point to point. The function takes parameters for specifying points in the diagram.

May 10, 2025 · Matplotlib is one of the most popular plotting libraries in Python which makes it easy to generate high-quality graphs with just a few lines of code. In this article, we’ll see how to create basic plots using Matplotlib.

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.

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 ()`.

Mar 17, 2025 · Matplotlib is an open-source visualization library for the Python programming language, widely used for creating static, animated and interactive plots. It provides an object-oriented API for embedding plots into applications using general-purpose GUI toolkits like Tkinter, Qt, GTK and wxPython.

Using one-liners to generate basic plots in matplotlib is fairly simple, but skillfully commanding the remaining 98% of the library can be daunting. This article is a beginner-to-intermediate-level walkthrough on matplotlib that mixes theory with examples.

Top 50 Matplotlib Plots for Data Analysis. This tutorial takes you through the following well-rounded concepts: 1. Plotting your first graph. 2. Line style and color. 3. Saving a figure. 4. Subplots. 5. Multiple figures. 6. Pyplot’s state machine: implicit vs explicit. 7. Pylab vs Pyplot vs Matplotlib. 8. Drawing text. 9. Legends. 10.

Mar 8, 2024 · Have you ever wanted to draw a graph to visualize data in Python? Python has an excellent library for creating graphs called Matplotlib. This article describes how to use the most common Axes.plot function for line and scatter plots. It also explains how to customize colors, line types, thickness, etc.