o Fix markdown for notebook, make it clear and use Grid.from_file() a…

…s pointed in PR reviews

docs/user-guide/from_file.ipynb

@@ -6,20 +6,13 @@
    "metadata": {},
    "source": [
     "# Reading & Working with Geometry Files\n",
-    "uxarray Grid object provides a few options to load grid file. Such as:\n",
-    "\n",
-    "1. from_dataset (ux.Grid.from_dataset(GRID_FILENAME, use_dual=True or False))\n",
-    "2. open_grid (ux.open_grid(GRID_FILENAME, use_dual=True or False))\n",
-    "3. from_file (ux.Grid.from_file(GRID_FILENAME, backend=\"geopandas\" or \"xarray\"))\n",
-    "\n",
-    "This notebook demonstrates to use the from_file function and options. \n",
-    "Specifically focus loading the geometry files:\n",
     "\n",
+    "This notebooks demonstrates how to use the `Grid.from_file()` class method to load in geometry files such as:\n",
     "\n",
     "1. Shapefile\n",
-    "2. Geojson\n",
+    "2. GeoJSON\n",
     "\n",
-    "This notebook also showcases the use of uxarray's remapping a variable from unstructured grid to a Shapefile."
+    "Highlighted is a workflow showcasing how to remap a variable from an unstructured grid to a Shapefile."
    ]
   },
   {
@@ -48,7 +41,7 @@
    "source": [
     "## Load a shapefile and plot  \n",
     "\n",
-    "* This section demonstrates how to load a shapefile using uxarray's from_file function\n",
+    "* This section demonstrates how to load a shapefile using uxarray's Grid.from_file() function\n",
     "* The shapefile used in this example is the US national boundary file from the US Census Bureau. It is a 20m resolution shapefile that represents the national boundary of the United States. \n",
     "* The data plotted is subset to a specific bounding box, which is defined by the latitude and longitude bounds. The result is plotted using the matplotlib backend."
    ]
@@ -84,9 +77,9 @@
    "id": "9808189d",
    "metadata": {},
    "source": [
-    "# Load a Geojson file and plot\n",
+    "## Load a Geojson file and plot\n",
     "\n",
-    " * This section demonstrates how to load a Geojson file using uxarray's from_file function\n",
+    " * This section demonstrates how to load a Geojson file using uxarray's Grid.from_file() function\n",
     " * The Geojson file used in this example is a few buildings around downtown Chicago. The plot is shown using the \"matplotlib\" backend for bounds specific to the region.\n",
     "\n"
    ]
@@ -110,7 +103,7 @@
    "id": "f2f14b3a",
    "metadata": {},
    "source": [
-    "# Open NetCDF mesh file using the Grid from_file function\n",
+    "## Open NetCDF mesh file using the Grid.from_file() function\n",
     "\n",
     "* Regular NetCDF files can also be opened using this function. Backend options available are:\n",
     "    * xarray\n",
@@ -135,7 +128,7 @@
    "id": "f27481e2-5c1c-4189-b0c7-39737c4e47f8",
    "metadata": {},
    "source": [
-    "# Remapping from Shapefile\n",
+    "## Remapping from Shapefile\n",
     "\n",
     "### The following steps are needed for Remapping Global Relative Humidity Data on to a specific region defined by Shapefile using UXarray\n",
     "\n",