j40-cejst-2/data/data-pipeline/etl/sources/ejscreen/etl.py
Jorge Escobar 543d147e61
Data folder restructuring in preparation for 361 (#376)
* initial checkin

* gitignore and docker-compose update

* readme update and error on hud

* encoding issue

* one more small README change

* data roadmap re-strcuture

* pyproject sort

* small update to score output folders

* checkpoint

* couple of last fixes
2021-07-20 14:55:39 -04:00

37 lines
1.2 KiB
Python

import pandas as pd
from etl.base import ExtractTransformLoad
from utils import get_module_logger
logger = get_module_logger(__name__)
class EJScreenETL(ExtractTransformLoad):
def __init__(self):
self.EJSCREEN_FTP_URL = "https://gaftp.epa.gov/EJSCREEN/2019/EJSCREEN_2019_StatePctile.csv.zip"
self.EJSCREEN_CSV = self.TMP_PATH / "EJSCREEN_2019_StatePctiles.csv"
self.CSV_PATH = self.DATA_PATH / "dataset" / "ejscreen_2019"
self.df: pd.DataFrame
def extract(self) -> None:
logger.info(f"Downloading EJScreen Data")
super().extract(
self.EJSCREEN_FTP_URL,
self.TMP_PATH,
)
def transform(self) -> None:
logger.info(f"Transforming EJScreen Data")
self.df = pd.read_csv(
self.EJSCREEN_CSV,
dtype={"ID": "string"},
# EJSCREEN writes the word "None" for NA data.
na_values=["None"],
low_memory=False,
)
def load(self) -> None:
logger.info(f"Saving EJScreen CSV")
# write nationwide csv
self.CSV_PATH.mkdir(parents=True, exist_ok=True)
self.df.to_csv(self.CSV_PATH / f"usa.csv", index=False)