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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
Marker examples. Scatter plots with a legend. Scatter plots...
- 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
Examples; Pie and polar charts; Pie and polar charts# Pie...
- Text, labels and annotations
Mathtext Examples. Math fontfamily. Math fontfamily....
- Color
Color#. For a description of the colormaps available in...
- Shapes and collections
Explore the Matplotlib documentation for shapes and...
- Lines, bars and markers
Here is a minimal example plot: import matplotlib.pyplot as plt import numpy as np x = np . linspace ( 0 , 2 * np . pi , 200 ) y = np . sin ( x ) fig , ax = plt . subplots () ax . plot ( x , y ) plt . show ()
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.
Matplotlib Tutorial – A Complete Guide to Python Plot w/ Examples; Matplotlib Pyplot – How to import matplotlib in Python and create different plots; Python Scatter Plot – How to visualize relationship between two numeric features; Matplotlib Line Plot – How to create a line plot to visualize the trend?
An example Matplotlib workflow. The following workflow is a standard practice when creating a matplotlib plot: Import matplotlib - For example, import matplotlib.pyplot as plt; Prepare data - This may be from an existing dataset (data analysis) or from the outputs of a machine learning model (data science)
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.
7 paź 2024 · This guide explores Matplotlib's capabilities, focusing on solving specific data visualization problems and offering practical examples to apply to your projects. Here’s what we are going to cover in this article: Importance of Data Visualization in Data Analysis. Brief Overview of Matplotlib. Getting Started with Matplotlib. Installation and Setup