linting

eu-cdse · Feb 10, 2025 · 697120c · 697120c
1 parent a809b5d
commit 697120c
Showing 1 changed file with 8 additions and 6 deletions.
diff --git a/openeo/load_ESA_WorldCover.ipynb b/openeo/load_ESA_WorldCover.ipynb
@@ -340,9 +340,7 @@
    "source": [
     "# load data from the CDSE backend\n",
     "cube = connection.load_collection(\n",
-    "    \"ESA_WORLDCOVER_10M_2021_V2\",\n",
-    "    temporal_extent=dates,\n",
-    "    spatial_extent=aoi\n",
+    "    \"ESA_WORLDCOVER_10M_2021_V2\", temporal_extent=dates, spatial_extent=aoi\n",
     ")"
    ]
   },
@@ -483,7 +481,7 @@
     "job_options = {\n",
     "    \"executor-memory\": \"2G\",\n",
     "    \"executor-memoryOverhead\": \"3G\",\n",
-    "    \"python-memory\": \"3G\"\n",
+    "    \"python-memory\": \"3G\",\n",
     "}\n",
     "# running a batch job\n",
     "\n",
@@ -633,15 +631,19 @@
     "arr[arr == 0] = np.nan\n",
     "\n",
     "# Generate lat/lon grid\n",
-    "lon, lat = np.meshgrid(data.x.values.astype(np.float64), data.y.values.astype(np.float64))\n",
+    "lon, lat = np.meshgrid(\n",
+    "    data.x.values.astype(np.float64), data.y.values.astype(np.float64)\n",
+    ")\n",
     "\n",
     "# Normalize data using a thematic color scale\n",
     "cmap = plt.get_cmap(\"hsv\")  # Choose a thematic colormap\n",
     "norm = mcolors.Normalize(vmin=np.nanmin(arr), vmax=np.nanmax(arr))  # Scale values\n",
     "colored_data = cmap(norm(arr))  # Convert data to RGBA colors\n",
     "\n",
     "# Ensure correct shape (H, W, 4)\n",
-    "colored_data = (colored_data[:, :, :4] * 255).astype(np.uint8)  # Convert to uint8 format\n",
+    "colored_data = (colored_data[:, :, :4] * 255).astype(\n",
+    "    np.uint8\n",
+    ")  # Convert to uint8 format\n",
     "\n",
     "# Create Folium map\n",
     "m = folium.Map(location=[lat.mean(), lon.mean()], zoom_start=12)\n",