From 90b96f9303dd31e0fb92c18ffc1a4f6daebfc6b6 Mon Sep 17 00:00:00 2001 From: Saran Ahluwalia Date: Wed, 29 Dec 2021 09:07:40 -0500 Subject: [PATCH] revised documentation --- .../data_pipeline/etl/sources/tree_equity_score/etl.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/data/data-pipeline/data_pipeline/etl/sources/tree_equity_score/etl.py b/data/data-pipeline/data_pipeline/etl/sources/tree_equity_score/etl.py index b9a12e4f..98436dba 100644 --- a/data/data-pipeline/data_pipeline/etl/sources/tree_equity_score/etl.py +++ b/data/data-pipeline/data_pipeline/etl/sources/tree_equity_score/etl.py @@ -8,7 +8,6 @@ logger = get_module_logger(__name__) # class TreeEquityScoreETL(ExtractTransformLoad): """ - From the documentation: Tree equity score methodology: https://www.treeequityscore.org/methodology/ A lower Tree Equity Score indicates a greater priority for closing the tree canopy gap In order to estimate a general number of trees associated with an increase in tree @@ -121,7 +120,7 @@ class TreeEquityScoreETL(ExtractTransformLoad): "source", "avg_temp", # Average Temperature from USGS Earth Explorer "ua_name", - "incorpname", # Incorporated place name + "incorpname", # Incorporated place name "congressio", # Congressional District "biome", "bgpopdense", @@ -130,8 +129,8 @@ class TreeEquityScoreETL(ExtractTransformLoad): "tc_goal", # Tree canopy goal "priority", # Priority community according to the index "tes", # Tree equity score - "tesctyscor", # tree equity score for the county - "geometry", # block group geometry coordinates + "tesctyscor", # Tree equity score for the county + "geometry", # Block group geometry coordinates ] ] self.df.to_csv(self.CSV_PATH / "usa.csv", index=False)