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docs/patch_level_cloud_cover.ipynb

@@ -111,7 +111,8 @@
    "outputs": [],
    "source": [
     "# Define area of interest\n",
-    "area_of_interest = shapely.box(xmin=bbox_bl[0], ymin=bbox_bl[1], xmax=bbox_tr[0], ymax=bbox_tr[1])\n",
+    "area_of_interest = shapely.box(\n",
+    "    xmin=bbox_bl[0], ymin=bbox_bl[1], xmax=bbox_tr[0], ymax=bbox_tr[1])\n",
     "\n",
     "# Define temporal range\n",
     "daterange: dict = [\"2021-01-01T00:00:00Z\", \"2021-12-31T23:59:59Z\"]"
@@ -159,9 +160,8 @@
     "epsg = items_L2A[0].properties[\"proj:epsg\"]\n",
     "\n",
     "# Convert point from lon/lat to UTM projection\n",
-    "poidf = gpd.GeoDataFrame(crs=\"OGC:CRS84\", geometry=[area_of_interest.centroid]).to_crs(\n",
-    "    epsg\n",
-    ")\n",
+    "poidf = gpd.GeoDataFrame(crs=\"OGC:CRS84\", \n",
+    "                         geometry=[area_of_interest.centroid]).to_crs(epsg)\n",
     "geom = poidf.iloc[0].geometry\n",
     "\n",
     "# Create bounds of the correct size, the model\n",
@@ -691,7 +691,9 @@
     "# Function to get the average of some list of reference vectors\n",
     "def get_average_vector(idxs):\n",
     "    reformatted_idxs = ['_'.join(map(str, idx)) for idx in idxs]\n",
-    "    matching_rows = [tbl.to_pandas().query(f\"idx == '{idx}'\") for idx in reformatted_idxs]\n",
+    "    matching_rows = [\n",
+    "        tbl.to_pandas().query(f\"idx == '{idx}'\") for idx in reformatted_idxs\n",
+    "    ]\n",
     "    matching_vectors = [row.iloc[0][\"vector\"] for row in matching_rows]\n",
     "    vector_mean = numpy.mean(matching_vectors, axis=0)\n",
     "    return vector_mean"
@@ -914,7 +916,8 @@
     "result_non_cloudy_boxes = [\n",
     "    Polygon([(bbox[0], bbox[1]), (bbox[2], bbox[1]), (bbox[2], bbox[3]), (bbox[0], bbox[3])]) \n",
     "    for bbox in result_non_cloudy['box']]\n",
-    "result_non_cloudy_gdf = gpd.GeoDataFrame(result_non_cloudy, geometry=result_non_cloudy_boxes)\n",
+    "result_non_cloudy_gdf = gpd.GeoDataFrame(\n",
+    "    result_non_cloudy, geometry=result_non_cloudy_boxes)\n",
     "result_non_cloudy_gdf.crs = \"EPSG:4326\"\n",
     "\n",
     "# Plot the AOI in RGB\n",