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jpswinskijpswinski
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updates to demos and pytests for latest code
1 parent 34345b7 commit 806241c

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‎examples/api_widgets_demo.ipynb‎

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## SlideRule Widgets Example\n",
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"## IPython Widgets Example\n",
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"\n",
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"### Purpose\n",
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"Demonstrate common uses of the `ipysliderule` module"
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"metadata": {
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"tags": []
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},
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"source": [
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"### Save GeoDataFrame to output file\n",
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"- [pytables HDF5](https://www.pytables.org/): easily read back as a Geopandas GeoDataFrame\n",

‎examples/arcticdem_mosaic.ipynb‎

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"Demonstrate how to sample the ArcticDEM at generated ATL06-SR points"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e29fa51f-77bf-4c55-a99e-a4f166833755",
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"metadata": {},
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"source": [
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"#### Import Packages"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b92cf7a1-67a3-485f-b170-72d2db8727a2",
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"id": "9dada6f9-e621-4a3a-825b-065ef6846645",
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"metadata": {},
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"outputs": [],
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"source": [
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"#\n",
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"# Import Packages\n",
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"#\n",
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"import matplotlib.pyplot as plt\n",
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"import matplotlib\n",
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"import sliderule\n",
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"from sliderule import icesat2"
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]
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},
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{
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"cell_type": "markdown",
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"id": "53e68348-2d49-4e22-b665-1acd8b367dcf",
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"metadata": {},
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"source": [
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"#### Initialize SlideRule Python Client"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "b8167cbe-3fe3-4dc9-a5ad-0cbba51c8a07",
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"id": "93edfc47-1cd5-4927-962c-fd447c9e807a",
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"metadata": {},
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"outputs": [],
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"source": [
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"#\n",
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"# Initialize SlideRule Python Client\n",
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"#\n",
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"icesat2.init(\"slideruleearth.io\", verbose=True)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "c588e3ea-8ab8-452b-8f5a-9fd8d6364ca9",
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"metadata": {
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"tags": []
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},
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"source": [
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"#### Make Processing Request to SlideRule\n",
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"ATL06-SR request includes the `samples` parameter to specify that ArcticDEM Mosiac dataset should be sampled at each generated ATL06 elevation."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "98ef750a-e88b-4125-b951-d1e29ce50ce2",
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"id": "4ebef6dc-c05d-4b97-973c-05da9565e841",
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"metadata": {
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"tags": []
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},
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"outputs": [],
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"source": [
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"#\n",
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"# Make Processing Request to SlideRule - ATL06-SR with corresponding ArcticDEM Mosiac Samples\n",
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"#\n",
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"asset = \"nsidc-s3\"\n",
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"resource = \"ATL03_20190314093716_11600203_005_01.h5\"\n",
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"region = sliderule.toregion(\"../tests/data/dicksonfjord.geojson\")\n",
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"gdf = icesat2.atl06p(parms, asset=asset, resources=[resource])"
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]
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},
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{
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"cell_type": "markdown",
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"id": "b779ddf2-f9ea-41c2-bb9a-1db92e277fe7",
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"metadata": {},
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"source": [
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"#### Display GeoDataFrame\n",
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"Notice the columns that start with \"mosaic\""
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "da7f3823-c32b-4ad7-a7de-cfb99d5ab858",
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"id": "e19bae20-140e-4d55-bb73-64a9630096d1",
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"metadata": {},
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"outputs": [],
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"source": [
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"#\n",
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"# Display GeoDataFrame\n",
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"#\n",
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"gdf"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6178683e-2d08-4ccb-a80e-4bb997876330",
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"metadata": {},
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"source": [
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"#### Print Out File Directory\n",
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"When a GeoDataFrame includes samples from rasters, each sample value has a file id that is used to look up the file name of the source raster for that value."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "690b44ac-5257-4d2e-a8fd-8f74c6533ea0",
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"id": "b4c99349-c44e-4e59-bd31-ad6121df2f80",
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"metadata": {},
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"outputs": [],
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"source": [
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"#\n",
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"# Print Out File Directory\n",
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"#\n",
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"gdf.attrs['file_directory']"
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]
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},
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{
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"cell_type": "markdown",
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"id": "13185f3c-23f8-4334-a300-68c39284711c",
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"metadata": {},
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"source": [
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"#### Demonstrate How To Access Source Raster Filename for Entry in GeoDataFrame"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d2fa07bb-1b89-446c-adb0-916b24eed74e",
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"id": "02ddb59c-b63b-4fef-b8c4-ec4b3d7580c6",
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"metadata": {},
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"outputs": [],
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"source": [
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"#\n",
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"# Demonstrate How To Access Source Raster Filename for Entry in GeoDataFrame\n",
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"#\n",
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"filedir = gdf.attrs['file_directory']\n",
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"filedir[gdf['mosaic.file_id'][0]]"
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]
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},
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{
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"cell_type": "markdown",
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"id": "88c529c1-9d72-4628-8b34-d850ae9e262d",
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"metadata": {},
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"source": [
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"#### Difference the Sampled Value from ArcticDEM with SlideRule ATL06-SR"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "59ea096b-3443-4b9a-b114-e818f143ca45",
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"id": "f3476592-b5b2-470e-bd35-d63e23e42ca0",
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"metadata": {},
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"outputs": [],
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"source": [
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"#\n",
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"# Difference the Sampled Value from ArcticDEM with SlideRule ATL06-SR\n",
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"#\n",
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"gdf[\"value_delta\"] = gdf[\"h_mean\"] - gdf[\"mosaic.value\"]\n",
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"gdf[\"value_delta\"].describe()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "5447dd00-69fa-4ab7-a2f3-674bf72126e9",
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"metadata": {},
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"source": [
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"#### Difference the Zonal Statistic Mean from ArcticDEM with SlideRule ATL06-SR"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "f80cd750-9b91-406a-ac6a-dc04937cd811",
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"id": "54621607-cdbc-4849-8e65-530957c2adc9",
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"metadata": {},
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"outputs": [],
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"source": [
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"#\n",
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"# Difference the Zonal Statistic Mean from ArcticDEM with SlideRule ATL06-SR\n",
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"#\n",
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"gdf[\"mean_delta\"] = gdf[\"h_mean\"] - gdf[\"mosaic.mean\"]\n",
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"gdf[\"mean_delta\"].describe()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "279dded2-5165-4b88-b28d-971fa303966d",
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"metadata": {},
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"source": [
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"#### Difference the Zonal Statistic Mdeian from ArcticDEM with SlideRule ATL06-SR"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4e8fe135-bc15-4b8b-887f-ae16ac81487f",
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"id": "fafc2593-f6b4-44c1-8fb9-a9d345c6561e",
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"metadata": {},
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"outputs": [],
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"source": [
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"#\n",
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"# Difference the Zonal Statistic Mdeian from ArcticDEM with SlideRule ATL06-SR\n",
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"#\n",
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"gdf[\"median_delta\"] = gdf[\"h_mean\"] - gdf[\"mosaic.median\"]\n",
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"gdf[\"median_delta\"].describe()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "32beb064-f10f-46e1-8756-a03756e069fd",
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"metadata": {},
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"source": [
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"#### Plot the Different ArcticDEM Values against the SlideRule ATL06-SR Values"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d6785ed8-cb0d-49cb-9de1-30ac5792884a",
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"id": "12645d05-fda6-44bd-878b-37b0aa217065",
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"metadata": {},
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"outputs": [],
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"source": [
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"#\n",
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"# Plot the Different ArcticDEM Values against the SlideRule ATL06-SR Values\n",
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"\n",
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"# Setup Plot\n",
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"fig,ax = plt.subplots(num=None, figsize=(10, 8))\n",
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"fig.set_facecolor('white')\n",
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"plt.show()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "343ad4b0-e94b-48bb-ae23-ca57867597fb",
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"metadata": {},
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"source": [
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"#### Plot the Sampled Value and Zonal Statistic Mean Deltas to SlideRule ATL06-SR Values"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "82c65e28-468e-463e-9afe-2b52064e7bae",
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"id": "7154e9db-ff4d-4b17-ac8c-62c3d12d7d54",
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"metadata": {},
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"outputs": [],
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"source": [
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"#\n",
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"# Plot the Sampled Value and Zonal Statistic Mean Deltas to SlideRule ATL06-SR Values\n",
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"#\n",
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"\n",
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"# Setup Plot\n",
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"fig,ax = plt.subplots(num=None, figsize=(10, 8))\n",
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"fig.set_facecolor('white')\n",

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