Fixups (#290)

Author: Tom Augspurger

datasets/3dep/3dep-seamless-example.ipynb

@@ -61,7 +61,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -73,7 +73,7 @@
        "   84.00166666666]]}"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -95,7 +95,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -112,7 +112,7 @@
     "buffer = 0.1\n",
     "bbox = [longitude - buffer, latitude - buffer, longitude + buffer, latitude + buffer]\n",
     "search = catalog.search(collections=\"3dep-seamless\", bbox=bbox)\n",
-    "items = list(search.get_items())\n",
+    "items = list(search.item_collection())\n",
     "print(f\"{len(items)} items found\")"
    ]
   },
@@ -128,7 +128,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -146,11 +146,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
     "import stackstac\n",
+    "import warnings\n",
+    "\n",
+    "warnings.filterwarnings(\"ignore\", message=\"The argument\")\n",
     "\n",
     "low_res_data = stackstac.stack(items_low_res, bounds=bbox).squeeze().compute()\n",
     "high_res_data = stackstac.stack(items_high_res, bounds=bbox).squeeze().compute()"
@@ -164,10 +167,10 @@
     {
      "data": {
       "text/html": [
-       "<img src=\"https://ai4edatasetspublicassets.blob.core.windows.net/assets/notebook-output/datasets-3dep-3dep-seamless-example.ipynb/14.png\"/>"
+       "<img src=\"https://ai4edatasetspublicassets.blob.core.windows.net/assets/notebook-output/.-datasets-3dep-3dep-seamless-example.ipynb/14.png\"/>"
       ],
       "text/plain": [
-       "<Figure size 1728x864 with 2 Axes>"
+       "<Figure size 2400x1200 with 2 Axes>"
       ]
      },
      "metadata": {},
@@ -177,8 +180,6 @@
    "source": [
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "plt.style.use(\"seaborn-talk\")\n",
-    "\n",
     "fig, axes = plt.subplots(ncols=2, figsize=(24, 12), sharex=True, sharey=True)\n",
     "low_res_data.plot.imshow(ax=axes[0], add_colorbar=False)\n",
     "high_res_data.plot.imshow(ax=axes[1], add_colorbar=False)\n",
@@ -207,11 +208,26 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.10"
+   "version": "3.11.8"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
-    "state": {},
+    "state": {
+     "550e9c6c01c647a9afe71d92d7471681": {
+      "model_module": "@jupyter-widgets/base",
+      "model_module_version": "2.0.0",
+      "model_name": "LayoutModel",
+      "state": {}
+     },
+     "821e2fa4ecba410ab745f3f401f362c4": {
+      "model_module": "@jupyter-widgets/controls",
+      "model_module_version": "2.0.0",
+      "model_name": "VBoxModel",
+      "state": {
+       "layout": "IPY_MODEL_550e9c6c01c647a9afe71d92d7471681"
+      }
+     }
+    },
     "version_major": 2,
     "version_minor": 0
    }