Remapping Notebook (#807)

* Initial Commit

* Cleared Cell Output

* Fixed failing tests

* Fix docs crash

* Added parameter descriptions

* Updated files used, adding sections

* Update remapping notebook

* Addressed Review Comments

* Added remapping example

* Updated organization

* Removed warnings

* Fixed Power and K parameters

---------

Co-authored-by: Philip Chmielowiec <67855069+philipc2@users.noreply.github.com>

docs/user-guide/area_calc.ipynb

@@ -2,24 +2,15 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "source": [
-    "# Face Area Calculations"
-   ],
    "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "outputs": [],
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
    "source": [
-    "import uxarray as ux\n",
-    "import numpy as np"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
+    "# Face Area Calculations"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -34,6 +25,21 @@
     "5. Calculate Area from Multiple Faces in Spherical Coordinates"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import uxarray as ux\n",
+    "import numpy as np"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -45,7 +51,10 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -68,7 +77,10 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -129,7 +141,10 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -199,7 +214,10 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -221,7 +239,10 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -239,7 +260,10 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -266,7 +290,10 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -317,7 +344,10 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -330,7 +360,10 @@
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -355,7 +388,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.4"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,

docs/user-guide/data-structures.ipynb

@@ -12,6 +12,22 @@
     "# Data Structures\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "source": [
+    "The core functionality of UXarray revolves around three data structures, which are used for interacting with unstructured grids and the data variables that reside on them.\n",
+    "\n",
+    "1. **[`uxarray.Grid`](https://uxarray.readthedocs.io/en/latest/user_api/generated/uxarray.UxDataArray.html)**: Stores the grid representation (i.e. coordinates, connectivity information, etc.)\n",
+    "2. **[`uxarray.UxDataset`](https://uxarray.readthedocs.io/en/latest/user_api/generated/uxarray.UxDataset.html)**: One or more data variable that resided on a grid.\n",
+    "3. **[`uxarray.UxDataArray`](https://uxarray.readthedocs.io/en/latest/user_api/generated/uxarray.UxDataArray.html)**: A single data variable that resides on a grid \n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -36,22 +52,6 @@
     "import xarray as xr"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
-   },
-   "source": [
-    "The core functionality of UXarray revolves around three data structures, which are used for interacting with unstructured grids and the data variables that reside on them.\n",
-    "\n",
-    "1. **[`uxarray.Grid`](https://uxarray.readthedocs.io/en/latest/user_api/generated/uxarray.UxDataArray.html)**: Stores the grid representation (i.e. coordinates, connectivity information, etc.)\n",
-    "2. **[`uxarray.UxDataset`](https://uxarray.readthedocs.io/en/latest/user_api/generated/uxarray.UxDataset.html)**: One or more data variable that resided on a grid.\n",
-    "3. **[`uxarray.UxDataArray`](https://uxarray.readthedocs.io/en/latest/user_api/generated/uxarray.UxDataArray.html)**: A single data variable that resides on a grid \n"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {
@@ -5419,7 +5419,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.11.9"
   }
  },
  "nbformat": 4,