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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>
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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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4
data/data-pipeline/data_pipeline/etl/sources/cdc_svi_index/README.md
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@ -53,7 +53,7 @@ For SVI 2018, the authors also included two adjunct variables, 1) 2014-2018 ACS
**Important Notes**
1. Tracts with zero estimates for the total population (N = 645 for the U.S.) were removed during the ranking process. These tracts were added back to the SVI databases after ranking.
1. Tracts with zero estimates for the total population (N = 645 for the U.S.) were removed during the ranking process. These tracts were added back to the SVI databases after ranking.
2. The TOTPOP field value is 0, but the percentile ranking fields (RPL_THEME1, RPL_THEME2, RPL_THEME3, RPL_THEME4, and RPL_THEMES) were set to -999.
@ -66,4 +66,4 @@ here: https://www.census.gov/programs-surveys/acs/data/variance-tables.html.
For selected ACS 5-year Detailed Tables, “Users can calculate margins of error for aggregated data by using the variance replicates. Unlike available approximation formulas, this method results in an exact margin of error by using the covariance term.”
MOEs are _not_ included nor considered during this data processing nor for the scoring comparison tool.
MOEs are _not_ included nor considered during this data processing nor for the scoring comparison tool.

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data/data-pipeline/data_pipeline/etl/sources/cdc_svi_index/etl.py
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@ -1,9 +1,8 @@
import pandas as pd
import numpy as np
import pandas as pd
from data_pipeline.etl.base import ExtractTransformLoad
from data_pipeline.utils import get_module_logger
from data_pipeline.score import field_names
from data_pipeline.utils import get_module_logger
logger = get_module_logger(__name__)