Remove sphinx-tabs dependency (#175)

* Remove `sphinx-tabs` dependency.

* Fix errors

* Update conf.py

doc/source/conf.py

@@ -58,7 +58,6 @@
     'sphinx.ext.napoleon',
     'sphinx_copybutton',
     'sphinx_gallery.gen_gallery',
-    'sphinx_tabs.tabs',
     'sphinxcontrib.asciinema',
 ]
 

doc/source/getting-started.rst

@@ -20,15 +20,15 @@ Installation
 
 PyVista can be installed on several environments, including, but not limited to:
 
-.. tabs::
+.. tab-set::
 
-   .. tab:: pip
+   .. tab-item:: pip
 
       .. code::
 
          pip install 'pyvista[all]' jupyterlab
 
-   .. tab:: conda
+   .. tab-item:: conda
 
       .. code::
 

requirements_docs.txt

@@ -27,7 +27,6 @@ sphinx-autobuild==2021.3.14
 sphinx-copybutton==0.5.0
 sphinx-gallery==0.11.1
 sphinx-notfound-page==0.8.3
-sphinx-tabs
 sphinx_design==0.3.0
 sphinxcontrib-websupport==1.2.4
 sphinxcontrib.asciinema

tutorial/00_intro/README.rst

@@ -133,9 +133,9 @@ These examples demonstrate how you can use both PyVista and VTK to construct
 and visualize a point cloud using ``numpy``. Here, we demonstrate how easy it
 is to work directly with NumPy arrays.
 
-.. tabs::
+.. tab-set::
 
-   .. tab:: VTK
+   .. tab-item:: VTK
 
       This example was taken from this `SO Answer
       <https://stackoverflow.com/a/7604478/3369879>`_.
@@ -209,7 +209,7 @@ is to work directly with NumPy arrays.
           renderWindow.Render()
           renderWindowInteractor.Start()
 
-   .. tab:: PyVista
+   .. tab-item:: PyVista
 
       .. jupyter-execute::
 
@@ -233,9 +233,9 @@ interested in data visualization, I'd encourage you for explore them all!
 
 Here's a few of them:
 
-.. tabs::
+.. tab-set::
 
-   .. tab:: vtk
+   .. tab-item:: vtk
 
       The Visualization Toolkit (`VTK <https://vtk.org/>`_) is open source
       software for manipulating and displaying scientific data. It comes with
@@ -245,7 +245,7 @@ Here's a few of them:
       .. image:: https://miro.medium.com/max/1400/1*B3aEPDxSvgR6Giyh4I4a2w.jpeg
          :alt: VTK
 
-   .. tab:: ParaView
+   .. tab-item:: ParaView
 
       `ParaView <https://www.paraview.org/>`_ is an open-source, multi-platform
       data analysis and visualization application. ParaView users can quickly
@@ -256,15 +256,15 @@ Here's a few of them:
       .. image:: https://www.kitware.com/main/wp-content/uploads/2018/11/ParaView-5.6.png
          :alt: ParaView
 
-   .. tab:: vedo
+   .. tab-item:: vedo
 
       `vedo <https://vedo.embl.es/>`_ is a Python library for scientific
       analysis of 3D objects and point clouds based on VTK and numpy.
 
       .. image:: https://user-images.githubusercontent.com/32848391/80292484-50757180-8757-11ea-841f-2c0c5fe2c3b4.jpg
          :alt: vedo
 
-   .. tab:: Mayavi
+   .. tab-item:: Mayavi
 
       `Mayavi <https://docs.enthought.com/mayavi/mayavi/>`_ is a general
       purpose, cross-platform tool for 2-D and 3-D scientific data