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Backport PR #19545 on branch v3.4.x (Replace references to pygtk by pygobject in docs.) #19549

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2 changes: 1 addition & 1 deletion examples/user_interfaces/README.txt
Original file line number Diff line number Diff line change
Expand Up @@ -5,7 +5,7 @@ Embedding Matplotlib in graphical user interfaces

You can embed Matplotlib directly into a user interface application by
following the embedding_in_SOMEGUI.py examples here. Currently
matplotlib supports wxpython, pygtk, tkinter and pyqt4/5.
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 proceedural interface, so take a
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2 changes: 1 addition & 1 deletion tutorials/introductory/sample_plots.py
Original file line number Diff line number Diff line change
Expand Up @@ -385,7 +385,7 @@
EEG GUI
=======

You can embed Matplotlib into pygtk, wx, Tk, or Qt applications.
You can embed Matplotlib into Qt, GTK, Tk, or wxWidgets applications.
Here is a screenshot of an EEG viewer called `pbrain
<https://github.com/nipy/pbrain>`__.

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6 changes: 3 additions & 3 deletions tutorials/introductory/usage.py
Original file line number Diff line number Diff line change
Expand Up @@ -271,7 +271,7 @@ def my_plotter(ax, data1, data2, param_dict):
# plotting windows pop up when they type commands. Some people run
# `Jupyter <https://jupyter.org>`_ notebooks and draw inline plots for
# quick data analysis. Others embed Matplotlib into graphical user
# interfaces like wxpython or pygtk to build rich applications. Some
# interfaces like PyQt or PyGObject to build rich applications. Some
# people use Matplotlib in batch scripts to generate postscript images
# from numerical simulations, and still others run web application
# servers to dynamically serve up graphs.
Expand All @@ -281,8 +281,8 @@ def my_plotter(ax, data1, data2, param_dict):
# "frontend" is the user facing code, i.e., the plotting code, whereas the
# "backend" does all the hard work behind-the-scenes to make the figure.
# There are two types of backends: user interface backends (for use in
# pygtk, wxpython, tkinter, qt4, qt5, or macosx; also referred to as
# "interactive backends") and hardcopy backends to make image files
# PyQt/PySide, PyGObject, Tkinter, wxPython, or macOS/Cocoa); also referred to
# as "interactive backends") and hardcopy backends to make image files
# (PNG, SVG, PDF, PS; also referred to as "non-interactive backends").
#
# Selecting a backend
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