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Issue 105: Configure and run black and other pre-commit hooks (clean branch) (#1962)

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* Configure and run `black` and other pre-commit hooks

Co-authored-by: matt bowen <matthew.r.bowen@omb.eop.gov>
This commit is contained in:
Lucas Merrill Brown 2022-10-04 18:08:47 -04:00 • committed by GitHub
commit 6e6223cd5e
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162 changed files with 716 additions and 602 deletions
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6
data/data-pipeline/data_pipeline/etl/sources/nlcd_nature_deprived/README.md
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@ -2,7 +2,7 @@
The following dataset was compiled by TPL (Trust for Public Lands) using NCLD data. We define as: AREA - [CROPLAND] - [IMPERVIOUS SURFACES].
## Codebook
## Codebook
- GEOID10 – Census tract ID
- SF – State Name
- CF – County Name
@ -13,7 +13,7 @@ The following dataset was compiled by TPL (Trust for Public Lands) using NCLD da
- AcresCrops – Acres crops calculated by summing all cells in the NLCD Cropland Data Layer crop classes.
- PctCrops – Formula: AcresCrops/TractAcres*100.
- PctImperv – Mean imperviousness for each census tract.
- CAVEAT: Where tracts extend into open water, mean imperviousness may be underestimated.
- CAVEAT: Where tracts extend into open water, mean imperviousness may be underestimated.
- __TO USE__ PctNatural – Formula: 100 – PctCrops – PctImperv.
- PctNat90 – Tract in or below 10th percentile for PctNatural. 1 = True, 0 = False.
- PctNatural 10th percentile = 28.6439%
@ -24,7 +24,7 @@ The following dataset was compiled by TPL (Trust for Public Lands) using NCLD da
- P200_PFS 65th percentile = 64.0%
- NatureDep – ImpOrCrp = 1 AND LowInAndEd = 1.
We added `GEOID10_TRACT` before converting shapefile to csv.
We added `GEOID10_TRACT` before converting shapefile to csv.
## Instructions to recreate

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data/data-pipeline/data_pipeline/etl/sources/nlcd_nature_deprived/etl.py
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@ -1,10 +1,9 @@
# pylint: disable=unsubscriptable-object
# pylint: disable=unsupported-assignment-operation
import pandas as pd
from data_pipeline.config import settings
from data_pipeline.etl.base import ExtractTransformLoad, ValidGeoLevel
from data_pipeline.etl.base import ExtractTransformLoad
from data_pipeline.etl.base import ValidGeoLevel
from data_pipeline.utils import get_module_logger
logger = get_module_logger(__name__)