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

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

Author: pre-commit-ci[bot]

README.md

@@ -14,7 +14,6 @@
 [![CI](https://github.com/carbonplan/notebooks/actions/workflows/main.yaml/badge.svg)](https://github.com/carbonplan/notebooks/actions/workflows/main.yaml)
 [![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](https://opensource.org/licenses/MIT)
 
-
 This repository includes Jupyter notebooks and other utilities for sharing our analysis and research.
 
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/carbonplan/notebooks/master?urlpath=lab)

biochar/biochar.ipynb

@@ -43,17 +43,15 @@
    "source": [
     "%matplotlib inline\n",
     "\n",
-    "import logging\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "import pandas as pd\n",
     "import statsmodels.api as sm\n",
-    "\n",
-    "from carbonplan_styles.mpl import set_theme\n",
     "from carbonplan_styles.colors import colors\n",
+    "from carbonplan_styles.mpl import set_theme\n",
     "\n",
-    "set_theme(style='carbonplan_light')\n",
-    "c = colors('carbonplan_light')"
+    "set_theme(style=\"carbonplan_light\")\n",
+    "c = colors(\"carbonplan_light\")"
    ]
   },
   {
@@ -219,8 +217,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import pandas as pd\n",
-    "import numpy as np"
+    "import numpy as np\n",
+    "import pandas as pd"
    ]
   },
   {

offset-project-fire/buffer_pool_analysis.ipynb

@@ -34,12 +34,9 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import numpy as np\n",
     "import pandas as pd\n",
-    "import intake\n",
-    "\n",
-    "from carbonplan_styles.mpl import set_theme\n",
     "from carbonplan_styles.colors import colors\n",
+    "from carbonplan_styles.mpl import set_theme\n",
     "\n",
     "# set options\n",
     "set_theme(style=\"carbonplan_light\")\n",
@@ -100,11 +97,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "df = df[\n",
-    "    ~df[\"Forest Buffer Account Contribution\"].apply(\n",
-    "        lambda x: isinstance(x, str)\n",
-    "    )\n",
-    "]\n",
+    "df = df[~df[\"Forest Buffer Account Contribution\"].apply(lambda x: isinstance(x, str))]\n",
     "df = df[df[\"ARB Offset Credits Issued\"] > 0]\n",
     "forest_df = df[df[\"Project Type\"] == \"Forest\"]\n",
     "\n",
@@ -254,15 +247,11 @@
     "perc_credits[\"state\"] = perc_credits.index.map(proj_state_map)\n",
     "perc_credits = perc_credits.rename(\n",
     "    # clean up column title\n",
-    "    columns={\n",
-    "        \"ARB Offset Credits Issued\": \"Percent Forest ARB Offset Credits Issued\"\n",
-    "    }\n",
+    "    columns={\"ARB Offset Credits Issued\": \"Percent Forest ARB Offset Credits Issued\"}\n",
     ")\n",
     "\n",
     "proj_loc = perc_credits.index.get_loc(proj_id)\n",
-    "display(\n",
-    "    perc_credits[: proj_loc + 1]\n",
-    ")  # +1 to include ACR260, otherwise off by one"
+    "display(perc_credits[: proj_loc + 1])  # +1 to include ACR260, otherwise off by one"
    ]
   },
   {
@@ -298,15 +287,11 @@
     "sorted_credits[\"state\"] = sorted_credits.index.map(proj_state_map)\n",
     "sorted_credits = sorted_credits.rename(\n",
     "    # clean up column title\n",
-    "    columns={\n",
-    "        \"ARB Offset Credits Issued\": \"Percent Forest ARB Offset Credits Issued\"\n",
-    "    }\n",
+    "    columns={\"ARB Offset Credits Issued\": \"Percent Forest ARB Offset Credits Issued\"}\n",
     ")\n",
     "\n",
     "proj_loc = sorted_credits.index.get_loc(proj_id)\n",
-    "display(\n",
-    "    sorted_credits[: proj_loc + 1]\n",
-    ")  # +1 to include ACR260, otherwise off by one"
+    "display(sorted_credits[: proj_loc + 1])  # +1 to include ACR260, otherwise off by one"
    ]
   },
   {

offset-project-fire/fire_analysis.ipynb

@@ -56,14 +56,11 @@
     "import copy\n",
     "import os\n",
     "\n",
-    "from carbonplan_styles.colors import colors\n",
-    "import fsspec\n",
     "import geopandas\n",
-    "import hvplot.pandas\n",
     "import intake\n",
     "import pandas as pd\n",
     "import pyproj\n",
-    "import shapely\n",
+    "from carbonplan_styles.colors import colors\n",
     "from shapely.ops import cascaded_union\n",
     "\n",
     "# plot styles\n",
@@ -244,9 +241,7 @@
    "source": [
     "burned_poly = cascaded_union(full_res.geometry.values)\n",
     "burned_gdf = (\n",
-    "    geopandas.GeoDataFrame.from_dict(\n",
-    "        {\"row\": {\"geometry\": burned_poly}}, orient=\"index\"\n",
-    "    )\n",
+    "    geopandas.GeoDataFrame.from_dict({\"row\": {\"geometry\": burned_poly}}, orient=\"index\")\n",
     "    .set_geometry(\"geometry\")\n",
     "    .set_crs(working_crs)\n",
     ")"
@@ -310,10 +305,7 @@
     "\n",
     "burned_project_area = burned_project.area.sum()\n",
     "print(\"Burned Project Area: %.2f m2\" % burned_project_area)\n",
-    "print(\n",
-    "    \"Percent Project Burned: %.2f%%\"\n",
-    "    % (burned_project_area / project_area * 100)\n",
-    ")"
+    "print(\"Percent Project Burned: %.2f%%\" % (burned_project_area / project_area * 100))"
    ]
   },
   {

projects/projects.ipynb

@@ -16,13 +16,11 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import requests\n",
-    "import pandas as pd\n",
     "import altair as alt\n",
-    "\n",
+    "import pandas as pd\n",
+    "import requests\n",
     "from IPython.display import JSON\n",
     "\n",
-    "\n",
     "alt.themes.enable(\"carbonplan_light\")"
    ]
   },
@@ -55,9 +53,7 @@
    "outputs": [],
    "source": [
     "# or get the full schema for a specific object\n",
-    "schema = requests.get(\n",
-    "    \"https://api.carbonplan.org/schema/ProjectCollection.json\"\n",
-    ").json()\n",
+    "schema = requests.get(\"https://api.carbonplan.org/schema/ProjectCollection.json\").json()\n",
     "JSON(schema)"
    ]
   },
@@ -77,9 +73,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "project_collection = requests.get(\n",
-    "    \"https://api.carbonplan.org/projects.json\"\n",
-    ").json()\n",
+    "project_collection = requests.get(\"https://api.carbonplan.org/projects.json\").json()\n",
     "JSON(project_collection, root=\"project_collection\")"
    ]
   },
@@ -97,9 +91,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "one_project = requests.get(\n",
-    "    \"https://api.carbonplan.org/projects.json?id=STRP01\"\n",
-    ").json()\n",
+    "one_project = requests.get(\"https://api.carbonplan.org/projects.json?id=STRP01\").json()\n",
     "JSON(one_project)"
    ]
   },
@@ -117,9 +109,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "projects = pd.read_csv(\n",
-    "    \"https://api.carbonplan.org/projects.csv\", index_col=\"name\"\n",
-    ")\n",
+    "projects = pd.read_csv(\"https://api.carbonplan.org/projects.csv\", index_col=\"name\")\n",
     "projects.head()"
    ]
   },
@@ -141,9 +131,7 @@
    "outputs": [],
    "source": [
     "metrics = [\"cost\", \"volume\", \"negativity\", \"permanence\"]\n",
-    "metrics_df = pd.DataFrame.from_dict(\n",
-    "    {m: projects[f\"('{m}', 'value')\"] for m in metrics}\n",
-    ")\n",
+    "metrics_df = pd.DataFrame.from_dict({m: projects[f\"('{m}', 'value')\"] for m in metrics})\n",
     "metrics_df[\"tag\"] = projects[\"('tag', 0)\"]\n",
     "metrics_df.head()"
    ]