From dadc372ecd629cdeb708727e5abce3b7179eb307 Mon Sep 17 00:00:00 2001
From: "pre-commit-ci[bot]"
 <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Date: Mon, 21 Aug 2023 14:17:19 +0000
Subject: [PATCH] [pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci
---
 scripts/build_industrial_distribution_key.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/scripts/build_industrial_distribution_key.py b/scripts/build_industrial_distribution_key.py
index fe7f5d82..3c62ca1b 100644
--- a/scripts/build_industrial_distribution_key.py
+++ b/scripts/build_industrial_distribution_key.py
@@ -96,12 +96,15 @@ def prepare_hotmaps_database(regions):
     # the .sjoin can lead to duplicates if a geom is in two regions
     if gdf.index.duplicated().any():
         import pycountry
+
         # get all duplicated entries
         duplicated_i = gdf.index[gdf.index.duplicated()]
         # convert from raw data country name to iso-2-code
-        s = df.loc[duplicated_i, "Country"].apply(lambda x: pycountry.countries.lookup(x).alpha_2)
+        s = df.loc[duplicated_i, "Country"].apply(
+            lambda x: pycountry.countries.lookup(x).alpha_2
+        )
         # Get a boolean mask where gdf's country column matches s's values for the same index
-        mask = gdf['country'] == gdf.index.map(s)
+        mask = gdf["country"] == gdf.index.map(s)
         # Filter gdf using the mask
         gdf_filtered = gdf[mask]
         # concat not duplicated and filtered gdf