DRAFT: Notebook Revisions, Xarray vs UXarray Section, Customization S…

…ection (#11) * work on xarray notebook, updates to plot-api * restart and clear output from notebooks * update _toc.yml * update xarray-to-uxarray notebook * update xarray-to-uxarray notebook * update notebooks * update notebooks * update notebooks * update notebooks * update xarray notebook * update images * notebook updates * update notebooks * notebook updates * fix typos * update polygon plot section * notebook revisions * update notebooks * clear outputs * fix typo
ProjectPythia · Apr 16, 2024 · cb1213f · cb1213f
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diff --git a/README.md b/README.md
@@ -13,10 +13,11 @@ This Cookbook is a comprehensive showcase of workflows & techniques for visualiz
 
 ## Motivation
 
-High-level, scalable visualizations of native unstructured grids is a much-needed ability in the Scientific Python Ecosystem. To achieve this, the process needs to:
+The ability to natively visualize unstructured grids is a much-needed ability within the Scientific Python Ecosystem,
+which poses multiple challenges and needs to:
 
-- Not regrid the unstructured grids into structured grids
-- Use provided information such as connectivity variables that come with the grid
+- Not regrid the source unstructured grid to structure
+- Take advantage of grid information, such as connectivity variables
 - Limit the amount of pre-processing needed to prepare the data for Python visualization tools
 
 UXarray enables such visualization methods that operate directly on unstructured grid data,

diff --git a/_config.yml b/_config.yml
@@ -6,7 +6,7 @@ description: Comprehensive showcase of workflows and techniques for visualizing
 author: the <a href="https://projectpythia.org/">Project Pythia</a> Community
 logo: notebooks/images/logos/pythia_logo-white-rtext.svg
 copyright: "2024"
-    
+
 execute:
   # To execute notebooks via a Binder instead, replace 'cache' with 'binder'
   execute_notebooks: cache
@@ -44,7 +44,7 @@ sphinx:
       use_fullscreen_button: true
       analytics:
         google_analytics_id: G-T52X8HNYE8
-      github_url: https://github.com/ProjectPythia
+      github_url: https://github.com/ProjectPythia/unstructured-grid-viz-cookbook
       twitter_url: https://twitter.com/project_pythia
       icon_links:
         - name: YouTube

diff --git a/_toc.yml b/_toc.yml
@@ -18,9 +18,9 @@ parts:
   - caption: UXarray Visualization
     chapters:
       - file: notebooks/03-uxarray-vis/01-plot-api
+      - file: notebooks/03-uxarray-vis/002-xarray-to-uxarray
       - file: notebooks/03-uxarray-vis/02-grid-topology
       - file: notebooks/03-uxarray-vis/03-polygons
       - file: notebooks/03-uxarray-vis/04-points
-      - file: notebooks/03-uxarray-vis/05-triangles
-      - file: notebooks/03-uxarray-vis/06-performance
       - file: notebooks/03-uxarray-vis/07-animations
+      - file: notebooks/03-uxarray-vis/06-performance
diff --git a/meshfiles/outCSne30.structured.nc b/meshfiles/outCSne30.structured.nc
diff --git a/notebooks/01-intro/01-unstructured-grid-overview.ipynb b/notebooks/01-intro/01-unstructured-grid-overview.ipynb
@@ -27,16 +27,6 @@
     "4. Why UXarrary for unstructured grids?"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
-   },
-   "source": []
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -319,7 +309,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.5"
   },
   "nbdime-conflicts": {
    "local_diff": [

diff --git a/notebooks/01-intro/02-data-structures.ipynb b/notebooks/01-intro/02-data-structures.ipynb
@@ -265,7 +265,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.11.5"
   },
   "nbdime-conflicts": {
    "local_diff": [

diff --git a/notebooks/01-intro/03-data-mapping.ipynb b/notebooks/01-intro/03-data-mapping.ipynb
@@ -209,7 +209,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.6"
+   "version": "3.11.5"
   },
   "nbdime-conflicts": {
    "local_diff": [

diff --git a/notebooks/02-methods/01-plotting-libraries.ipynb b/notebooks/02-methods/01-plotting-libraries.ipynb
@@ -264,7 +264,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.5"
   },
   "nbdime-conflicts": {
    "local_diff": [

diff --git a/notebooks/02-methods/02-rendering-techniques.ipynb b/notebooks/02-methods/02-rendering-techniques.ipynb
@@ -257,13 +257,6 @@
     "    A more comprehensive showcase of rasterization can be found <a href=\"https://learn.microsoft.com/en-us/windows/win32/direct3d11/d3d10-graphics-programming-guide-rasterizer-stage-rules\">here</a>\n",
     "</div>"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -282,7 +275,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.2"
+   "version": "3.11.5"
   },
   "nbdime-conflicts": {
    "local_diff": [