[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

.gitignore

@@ -132,4 +132,4 @@ dmypy.json
 _build/
 docs/api/
 src/GOSTurban/_version.py
-docs/notebooks/
+docs/notebooks/

notebooks/Tutorials/LEI_Example.ipynb

@@ -24,14 +24,11 @@
    "outputs": [],
    "source": [
     "import os\n",
-    "import sys\n",
-    "import importlib\n",
     "import rasterio\n",
     "import rasterio.features\n",
     "\n",
     "import geopandas as gpd\n",
     "import pandas as pd\n",
-    "import numpy as np\n",
     "\n",
     "import GOSTrocks.rasterMisc as rMisc\n",
     "import GOSTrocks.ghslMisc as ghslMisc\n",
@@ -69,18 +66,22 @@
     "    temp_folder = \"C:/Temp\"\n",
     "    # clip from global GHSL file\n",
     "    ghsl_folder = \"J:/Data/GLOBAL/GHSL/built\"\n",
-    "    ghsl_files = [os.path.join(ghsl_folder, x) for x in os.listdir(ghsl_folder) if x.endswith(\".tif\")]    \n",
+    "    ghsl_files = [\n",
+    "        os.path.join(ghsl_folder, x)\n",
+    "        for x in os.listdir(ghsl_folder)\n",
+    "        if x.endswith(\".tif\")\n",
+    "    ]\n",
     "    inA = gpd.read_file(aoi_file)\n",
-    "    \n",
+    "\n",
     "    temp_ghsl_files = []\n",
     "    for ghsl_file in ghsl_files:\n",
     "        temp_file = os.path.join(temp_folder, os.path.basename(ghsl_file))\n",
     "        temp_ghsl_files.append(temp_file)\n",
     "        if not os.path.exists(temp_file):\n",
     "            rMisc.clipRaster(rasterio.open(ghsl_file), inA, temp_file)\n",
-    "            \n",
+    "\n",
     "    ghsl_res, ghsl_profile = ghslMisc.combine_ghsl_annual(temp_ghsl_files)\n",
-    "    with rasterio.open(input_ghsl, 'w', **ghsl_profile) as outR:\n",
+    "    with rasterio.open(input_ghsl, \"w\", **ghsl_profile) as outR:\n",
     "        outR.write_band(1, ghsl_res)"
    ]
   },
@@ -183,7 +184,9 @@
    ],
    "source": [
     "# This calculates the change from 1990 and 2000\n",
-    "lei_raw = lei.calculate_LEI(input_ghsl, old_list=list(range(1975,1991,5)), new_list=list(range(1995,2001,5)))\n",
+    "lei_raw = lei.calculate_LEI(\n",
+    "    input_ghsl, old_list=list(range(1975, 1991, 5)), new_list=list(range(1995, 2001, 5))\n",
+    ")\n",
     "lei_90_00 = pd.DataFrame(lei_raw, columns=[\"geometry\", \"old\", \"total\"])\n",
     "lei_90_00[\"LEI\"] = lei_90_00[\"old\"] / lei_90_00[\"total\"]\n",
     "lei_90_00.head()"
@@ -302,7 +305,9 @@
    ],
    "source": [
     "# This calculates the change from 2000 and 2014\n",
-    "lei_raw = lei.calculate_LEI(input_ghsl, old_list=list(range(1975,2011,5)), new_list=list(range(2015,2030,5)))\n",
+    "lei_raw = lei.calculate_LEI(\n",
+    "    input_ghsl, old_list=list(range(1975, 2011, 5)), new_list=list(range(2015, 2030, 5))\n",
+    ")\n",
     "lei_00_14 = pd.DataFrame(lei_raw, columns=[\"geometry\", \"old\", \"total\"])\n",
     "lei_00_14[\"LEI\"] = lei_00_14[\"old\"] / lei_00_14[\"total\"]\n",
     "lei_00_14.head()"

requirements.txt

@@ -10,5 +10,3 @@ elevation
 geojson
 hatch
 git
-
-

src/GOSTurban/LEI.py

@@ -195,4 +195,4 @@ def calculate_LEI(val, leap_val, exp_val):
     res["class"] = res["LEI"].apply(lambda x: calculate_LEI(x, leap_val, exp_val))
     xx = res.groupby("class")
 
-    return xx['area'].sum()
+    return xx["area"].sum()