Merge pull request #22787 from meeseeksmachine/auto-backport-of-pr-22786-on-v3.5.x

tacaswell · web-flow · commit 5e089ed36ee9 · 2022-04-05T13:04:00.000-04:00
Backport PR #22786 on branch v3.5.x (add ipympl website links)
diff --git a/doc/users/explain/backends.rst b/doc/users/explain/backends.rst
@@ -162,7 +162,7 @@ Backend   Description
 QtAgg     Agg rendering in a Qt_ canvas (requires PyQt_ or `Qt for Python`_,
           a.k.a. PySide).  This backend can be activated in IPython with
           ``%matplotlib qt``.
-ipympl    Agg rendering embedded in a Jupyter widget.  (requires ipympl).
+ipympl    Agg rendering embedded in a Jupyter widget.  (requires ipympl_).
           This backend can be enabled in a Jupyter notebook with
           ``%matplotlib ipympl``.
 GTK3Agg   Agg rendering to a GTK_ 3.x canvas (requires PyGObject_,
@@ -209,6 +209,7 @@ wxAgg     Agg rendering to a wxWidgets_ canvas (requires wxPython_ 4).
 .. _GTK: https://www.gtk.org/
 .. _Tk: https://www.tcl.tk/
 .. _wxWidgets: https://www.wxwidgets.org/
+.. _ipympl: https://www.matplotlib.org/ipympl
 
 ipympl
 ^^^^^^
@@ -219,16 +220,14 @@ Matplotlib.  To install ipympl:
 .. code-block:: bash
 
    pip install ipympl
-   jupyter nbextension enable --py --sys-prefix ipympl
 
 or
 
 .. code-block:: bash
 
    conda install ipympl -c conda-forge
 
-See `jupyter-matplotlib <https://github.com/matplotlib/jupyter-matplotlib>`__
-for more details.
+See `installing ipympl <https://matplotlib.org/ipympl/installing.html>`__ for more details.
 
 .. _QT_API-usage:
 
diff --git a/doc/users/explain/interactive.rst b/doc/users/explain/interactive.rst
@@ -19,7 +19,7 @@ Matplotlib ships with :ref:`backends <what-is-a-backend>` binding to
 several GUI toolkits (Qt, Tk, Wx, GTK, macOS, JavaScript) and third party
 packages provide bindings to `kivy
 <https://github.com/kivy-garden/garden.matplotlib>`__ and `Jupyter Lab
-<https://github.com/matplotlib/ipympl>`__.  For the figures to be responsive to
+<https://matplotlib.org/ipympl>`__.  For the figures to be responsive to
 mouse, keyboard, and paint events, the GUI event loop needs to be integrated
 with an interactive prompt. We recommend using IPython (see :ref:`below <ipython-pylab>`).
 
