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1. matplotlib.org › stable › galleryExamples — Matplotlib 3.9.2 documentation

   matplotlib.org › stable › gallery

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   You can embed Matplotlib directly into a user interface application by following the embedding_in_SOMEGUI.py examples here. Currently Matplotlib supports PyQt/PySide, PyGObject, Tkinter, and wxPython.

   • 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

   • Shapes and collections

     Explore the Matplotlib documentation for shapes and...

2. stackoverflow.com › questions › 8938449How to extract data from matplotlib plot - Stack Overflow

   stackoverflow.com › questions › 8938449

   20 sty 2012 · The matplotlib.pyplot.gca can be used to extract data from matplotlib plots. Here is a simple example: import matplotlib.pyplot as plt plt.plot([1,2,3],[4,5,6]) ax = plt.gca() line = ax.lines[0] line.get_xydata() On running this, you will see 2 outputs - the plot and the data: array([[1., 4.], [2., 5.], [3., 6.]])

3. zerotomastery.io › blog › matplotlib-guide-pythonBeginners Guide To Matplotlib (With Code Examples)

   zerotomastery.io › blog › matplotlib-guide-python

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   Learn matplotlib from scratch with this step-by-step guide using code examples. By the end, you'll be plotting like a pro and learn a few tricks along the way.

4. matplotlib.org › stable › tutorialsPyplot tutorial — Matplotlib 3.9.2 documentation

   matplotlib.org › stable › tutorials

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   There are some instances where you have data in a format that lets you access particular variables with strings. For example, with structured arrays or pandas.DataFrame . Matplotlib allows you to provide such an object with the data keyword argument.

5. www.machinelearningplus.com › plots › matplotlib-tutorial-complete-guide-pythonMatplotlib - Introduction to Python Plots with Examples | ML+

   www.machinelearningplus.com › plots › matplotlib-tutorial-complete-guide-python

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   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.

6. realpython.com › python-matplotlib-guidePython Plotting With Matplotlib (Guide) – Real Python

   realpython.com › python-matplotlib-guide

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   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.

7. www.machinelearningplus.com › plots › matplotlib-plotting-tutorialMatplotlib Tutorial - Principles of creating any plot with the...

   www.machinelearningplus.com › plots › matplotlib-plotting-tutorial

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   Overview. 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. Non-linear scales. 11. Ticks and tickers. 12.