diff --git a/docs/user-guide/from_file.ipynb b/docs/user-guide/from_file.ipynb
new file mode 100644
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--- /dev/null
+++ b/docs/user-guide/from_file.ipynb
@@ -0,0 +1,1192 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "4a432a8bf95d9cdb",
+ "metadata": {},
+ "source": [
+ "# Grid.from_file\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",
+ "File formats such as:\n",
+ "\n",
+ "1. Shapefile\n",
+ "2. Geojson\n",
+ "\n",
+ "\n",
+ "and others can be opened using the uxarray Grid classes from_file function.\n",
+ "\n",
+ "This notebook also showcases the use of remapping a variable from unstructured grid to a Shapefile.\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "id": "b35ba4a2c30750e4",
+ "metadata": {
+ "ExecuteTime": {
+ "end_time": "2024-10-09T17:50:50.244285Z",
+ "start_time": "2024-10-09T17:50:50.239653Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/opt/homebrew/anaconda3/envs/ux/lib/python3.11/site-packages/dask/dataframe/_pyarrow_compat.py:21: UserWarning: You are using pyarrow version 12.0.1 which is known to be insecure. See https://www.cve.org/CVERecord?id=CVE-2023-47248 for further details. Please upgrade to pyarrow>=14.0.1 or install pyarrow-hotfix to patch your current version.\n",
+ " warnings.warn(\n"
+ ]
+ },
+ {
+ "data": {
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+ },
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+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ]
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+ "
\n",
+ ""
+ ]
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+ "id": "p1002"
+ }
+ },
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "import uxarray as ux\n",
+ "import warnings\n",
+ "import geocat.datafiles as geodf\n",
+ "\n",
+ "warnings.filterwarnings(\"ignore\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "395a3db7-495c-4cff-b733-06bbe522a604",
+ "metadata": {},
+ "source": [
+ "## Load a shapefile and plot \n",
+ "\n",
+ "* This section demonstrates how to load a shapefile using uxarray's 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."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 2,
+ "id": "b4160275c09fe6b0",
+ "metadata": {
+ "ExecuteTime": {
+ "end_time": "2024-10-09T17:50:51.217211Z",
+ "start_time": "2024-10-09T17:50:50.540946Z"
+ }
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Transformed CRS: EPSG:4326\n"
+ ]
+ },
+ {
+ "data": {
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+ "\n",
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+ "id": "p1011"
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+ "text/plain": [
+ ":Path [Longitude,Latitude]"
+ ]
+ },
+ "execution_count": 2,
+ "metadata": {
+ "application/vnd.holoviews_exec.v0+json": {}
+ },
+ "output_type": "execute_result"
+ }
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+ "source": [
+ "shp_filename = (\n",
+ " \"../../test/meshfiles/shp/cb_2018_us_nation_20m/cb_2018_us_nation_20m.shp\"\n",
+ ")\n",
+ "uxds = ux.Grid.from_file(shp_filename)\n",
+ "lat_bounds = [-90, -70]\n",
+ "lon_bounds = [20, 55]\n",
+ "uxds = uxds.subset.bounding_box(lon_bounds, lat_bounds)\n",
+ "uxds.plot(\n",
+ " title=\"US 20m Focus on Mainland (cb_2018_us_nation_20m.shp)\",\n",
+ " backend=\"matplotlib\",\n",
+ " width=500,\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "9808189d",
+ "metadata": {},
+ "source": [
+ "# Load a Geojson file and plot\n",
+ "\n",
+ " * This section demonstrates how to load a Geojson file using uxarray's from_file function\n",
+ " * The Geojson file used in this example is the Chicago neighborhoods dataset from GitHub. The plot is shown using \"bokeh\" backend for bounds specific to the region.\n",
+ "\n"
+ ]
+ },
+ {
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+ "execution_count": 3,
+ "id": "31d92527",
+ "metadata": {},
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+ "application/vnd.holoviews_load.v0+json": ""
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.holoviews_exec.v0+json": "",
+ "text/html": [
+ "\n",
+ ""
+ ]
+ },
+ "metadata": {
+ "application/vnd.holoviews_exec.v0+json": {
+ "id": "p1013"
+ }
+ },
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ "\n",
+ "\n",
+ "\n",
+ "\n",
+ "
\n"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {},
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.holoviews_exec.v0+json": "",
+ "text/html": [
+ "\n",
+ ""
+ ],
+ "text/plain": [
+ ":Path [Longitude,Latitude]"
+ ]
+ },
+ "execution_count": 3,
+ "metadata": {
+ "application/vnd.holoviews_exec.v0+json": {
+ "id": "p1015"
+ }
+ },
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "geojson_filename = \"https://raw.githubusercontent.com/blackmad/neighborhoods/refs/heads/master/chicago.geojson\"\n",
+ "uxgeojson = ux.Grid.from_file(geojson_filename)\n",
+ "lat_bounds = [41.6, 42.1]\n",
+ "lon_bounds = [-87.7, -87.5]\n",
+ "uxgeojson.subset.bounding_box(lon_bounds, lat_bounds).plot(backend=\"bokeh\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f2f14b3a",
+ "metadata": {},
+ "source": [
+ "# NetCDF \n",
+ "\n",
+ "Regular NetCDF files can also be opened using this function"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 8,
+ "id": "aba5d650",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {},
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.holoviews_exec.v0+json": "",
+ "text/html": [
+ "\n",
+ ""
+ ],
+ "text/plain": [
+ ":Path [Longitude,Latitude]"
+ ]
+ },
+ "execution_count": 8,
+ "metadata": {
+ "application/vnd.holoviews_exec.v0+json": {
+ "id": "p2310"
+ }
+ },
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "nc_filename = \"../../test/meshfiles/scrip/outCSne8/outCSne8.nc\"\n",
+ "uxgrid = ux.Grid.from_file(nc_filename, backend=\"xarray\")\n",
+ "uxgrid.plot(backend=\"bokeh\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "f27481e2-5c1c-4189-b0c7-39737c4e47f8",
+ "metadata": {},
+ "source": [
+ "# 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",
+ "1. **Read the shapefile** (uxds)\n"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 9,
+ "id": "002b3f66-11ed-4f3d-905f-967802b9fff2",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Original CRS: None\n",
+ "Assigned CRS: EPSG:4326\n"
+ ]
+ },
+ {
+ "data": {},
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.holoviews_exec.v0+json": "",
+ "text/html": [
+ "\n",
+ ""
+ ],
+ "text/plain": [
+ ":Path [Longitude,Latitude]"
+ ]
+ },
+ "execution_count": 9,
+ "metadata": {
+ "application/vnd.holoviews_exec.v0+json": {
+ "id": "p3113"
+ }
+ },
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "shp_filename = (\n",
+ " \"../../test/meshfiles/shp/chicago_neighborhoods/chicago_neighborhoods.shp\"\n",
+ ")\n",
+ "uxds = ux.Grid.from_file(shp_filename)\n",
+ "lat_bounds = [41, 43]\n",
+ "lon_bounds = [-89, -90]\n",
+ "uxds = uxds.subset.bounding_box(lon_bounds, lat_bounds)\n",
+ "uxds.plot(\n",
+ " title=\"Chicago Neighborhoods\",\n",
+ " backend=\"bokeh\",\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "c9447221-aaba-4155-868d-f88b791e559e",
+ "metadata": {},
+ "source": [
+ "\n",
+ "2. **Initialize Input Data Files**\n",
+ " - The input datasets consist of NetCDF files that include global relative humidity data.\n",
+ " - The `datafiles` variable points to two NetCDF files using the `geodf.get` function, specifying the paths:\n",
+ " - The first file contains meteorological diagnostic data: \n",
+ " `netcdf_files/MPAS/FalkoJudt/dyamond_1/30km/diag.2016-08-20_00.00.00_subset.nc`.\n",
+ " - The second file provides the MPAS grid specification: \n",
+ " `netcdf_files/MPAS/FalkoJudt/dyamond_1/30km/x1.655362.grid_subset.nc`.\n",
+ "\n",
+ "2. **Open the Datasets with UXarray**\n",
+ " - The `ux.open_dataset()` function is used to load these files, making them accessible as a UXarray Dataset.\n",
+ " - `uxds_source` is the opened dataset that holds the meteorological data, such as relative humidity, structured over the MPAS grid."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 10,
+ "id": "9b629686-8286-4336-b188-8a1b12c0fcd2",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "datafiles = (\n",
+ " geodf.get(\n",
+ " \"netcdf_files/MPAS/FalkoJudt/dyamond_1/30km/diag.2016-08-20_00.00.00_subset.nc\"\n",
+ " ),\n",
+ " geodf.get(\"netcdf_files/MPAS/FalkoJudt/dyamond_1/30km/x1.655362.grid_subset.nc\"),\n",
+ ")\n",
+ "\n",
+ "uxds_source = ux.open_dataset(datafiles[1], datafiles[0])"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "ab2f5f8c",
+ "metadata": {},
+ "source": [
+ "\n",
+ "3. **Remap Relative Humidity Data**\n",
+ " - The `relhum_200hPa` variable is accessed from `uxds_source` to extract relative humidity data at 200 hPa pressure level.\n",
+ " - **Inverse Distance Weighted Remapping**:\n",
+ " - The data is remapped using UXarray’s `inverse_distance_weighted` method.\n",
+ " - The remapping is done to \"face centers,\" adapting the data from its original grid to align with a new shape or structure.\n",
+ "\n",
+ "4. **Plot the Remapped Data**\n",
+ " - The remapped data for Chicago neighborhoods is plotted using UXarray's plotting utilities.\n",
+ " - The plot uses the `sequential_blue` colormap and is rendered with the `bokeh` backend.\n",
+ " - The title of the plot is \"Chicago Neighborhoods Relative Humidity,\" giving a clear representation of how relative humidity varies spatially."
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 11,
+ "id": "af78a1ed-e9e4-4dd0-a58f-87640e7d5f11",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "c247cca862f2425c9ecd7013e7ae385a",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "BokehModel(combine_events=True, render_bundle={'docs_json': {'5ef636be-f2e6-4c8a-8f08-795c96cc70e1': {'version…"
+ ]
+ },
+ "execution_count": 11,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "chicago_relative_humidty = uxds_source[\"relhum_200hPa\"].remap.inverse_distance_weighted(\n",
+ " uxds, remap_to=\"face centers\"\n",
+ ")\n",
+ "\n",
+ "chicago_relative_humidty[0].plot(\n",
+ " cmap=ux.cmaps.sequential_blue,\n",
+ " title=\"Chicago Neighborhoods Relative Humidty\",\n",
+ " backend=\"bokeh\",\n",
+ ")"
+ ]
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "Python 3 (ipykernel)",
+ "language": "python",
+ "name": "python3"
+ },
+ "language_info": {
+ "codemirror_mode": {
+ "name": "ipython",
+ "version": 3
+ },
+ "file_extension": ".py",
+ "mimetype": "text/x-python",
+ "name": "python",
+ "nbconvert_exporter": "python",
+ "pygments_lexer": "ipython3",
+ "version": "3.11.9"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/docs/userguide.rst b/docs/userguide.rst
index 2f1f85cbb..8ff2cb5a8 100644
--- a/docs/userguide.rst
+++ b/docs/userguide.rst
@@ -82,7 +82,8 @@ These user guides provide additional details about specific features in UXarray.
`Compatibility with HoloViz Tools `_
Use UXarray with HoloViz tools
-
+`Grid Function: from_file and Shapefile Remapping `_
+ Load unstructured grids using the Grid from_file function
.. toctree::
:hidden:
@@ -106,3 +107,4 @@ These user guides provide additional details about specific features in UXarray.
user-guide/structured.ipynb
user-guide/from-points.ipynb
user-guide/holoviz.ipynb
+ user-guide/from_file.ipynb
diff --git a/test/meshfiles/shp/chicago_neighborhoods/chicago_neighborhoods.shp b/test/meshfiles/shp/chicago_neighborhoods/chicago_neighborhoods.shp
new file mode 100644
index 000000000..eca9082a2
Binary files /dev/null and b/test/meshfiles/shp/chicago_neighborhoods/chicago_neighborhoods.shp differ
diff --git a/test/meshfiles/shp/chicago_neighborhoods/chicago_neighborhoods.shx b/test/meshfiles/shp/chicago_neighborhoods/chicago_neighborhoods.shx
new file mode 100644
index 000000000..1a3970ebe
Binary files /dev/null and b/test/meshfiles/shp/chicago_neighborhoods/chicago_neighborhoods.shx differ
diff --git a/uxarray/grid/grid.py b/uxarray/grid/grid.py
index 88a755b0c..1bc071098 100644
--- a/uxarray/grid/grid.py
+++ b/uxarray/grid/grid.py
@@ -328,7 +328,8 @@ def from_file(
grid_ds, source_dims_dict = _read_geodataframe(filename)
elif backend == "xarray":
- grid_ds, source_dims_dict = cls.from_dataset(filename)
+ dataset = xr.open_dataset(filename, **kwargs)
+ return cls.from_dataset(dataset)
else:
raise ValueError("Backend not supported")