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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.
- Lines, bars and markers
Lines, bars and markers - Examples — Matplotlib 3.9.2...
- Images, contours and fields
Images, contours and fields - Examples — Matplotlib 3.9.2...
- 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
Shading example; Spectrogram; Spy Demos; Tricontour Demo;...
- Text, labels and annotations
Text, labels and annotations - Examples — Matplotlib 3.9.2...
- Color
Color#. For a description of the colormaps available in...
- Shapes and collections
Explore the Matplotlib documentation for shapes and...
- Lines, bars and markers
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.
13 sie 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.
Learn how to use matplotlib.pyplot, a collection of functions that make matplotlib work like MATLAB, to create various plots. See examples of formatting, axis, keyword, categorical and line properties.
A compilation of the Top 50 matplotlib plots most useful in data analysis and visualization. This list helps you to choose what visualization to show for what type of problem using python's matplotlib and seaborn library.
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.
Learn how to create production-quality graphics with Python's matplotlib library. This tutorial covers the basics, the object hierarchy, the stateful and stateless approaches, and more examples.
