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Currently Matplotlib supports PyQt/PySide, PyGObject, Tkinter, and wxPython. When embedding Matplotlib in a GUI, you must use the Matplotlib API directly rather than the pylab/pyplot procedural interface, so take a look at the examples/api directory for some example code working with the API.
- 3D Plotting
3D Plotting - Examples — Matplotlib 3.9.2 documentation
- Lines, Bars and Markers
Lines, Bars and Markers - Examples — Matplotlib 3.9.2...
- Images, contours and fields
Shading example. Spectrogram. Spectrogram. Spy Demos. Spy...
- Subplots, axes and figures
Subplots, axes and figures - Examples — Matplotlib 3.9.2...
- Statistics
Statistics - Examples — Matplotlib 3.9.2 documentation
- Pie and polar charts
Pie and polar charts - Examples — Matplotlib 3.9.2...
- Text, labels and annotations
Text, labels and annotations - Examples — Matplotlib 3.9.2...
- Color
Color - Examples — Matplotlib 3.9.2 documentation
- 3D Plotting
Matplotlib is a low level graph plotting library in python that serves as a visualization utility. Matplotlib was created by John D. Hunter. Matplotlib is open source and we can use it freely. Matplotlib is mostly written in python, a few segments are written in C, Objective-C and Javascript for Platform compatibility.
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.
This tutorial explains matplotlib's way of making python plot, like scatterplots, bar charts and customize th components like figure, subplots, legend, title. Explained in simplified parts so you gain the knowledge and a clear understanding of how to add, modify and layout the various components in a plot.
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.
13 Αυγ 2021 · Sample plots in Matplotlib ¶. Here you'll find a host of example plots with the code that generated them. Line Plot ¶. Here's how to create a line plot with text labels using plot(). Simple Plot ¶. Multiple subplots in one figure ¶. Multiple axes (i.e. subplots) are created with the subplot() function: Subplot ¶. Images ¶.
7 Οκτ 2024 · Installation and Setup. How to Create Your First Plot. Exploring Different Types of Plots. Advanced Plot Customizations. How to Work with Multiple Plots. How to Enhance Plot Aesthetics. How to Save and Export Plots. Interactive Plotting and Animation. Interactive Features in Matplotlib. How to Create Animations.
