Update nchs docstrings to pass pydocstyle

nchs_mortality/delphi_nchs_mortality/export.py

@@ -1,11 +1,11 @@
 # -*- coding: utf-8 -*-
-"""Function to export the dataset in the format expected of the API.
-"""
+"""Function to export the dataset in the format expected of the API."""
 import pandas as pd
 from epiweeks import Week
 
 def export_csv(df, geo_name, sensor, export_dir, start_date):
-    """Export data set in format expected for injestion by the API
+    """Export data set in format expected for injestion by the API.
+
     Parameters
     ----------
     df: pd.DataFrame
@@ -21,7 +21,6 @@ def export_csv(df, geo_name, sensor, export_dir, start_date):
     end_date: datetime.datetime
         The last date to report
     """
-
     df = df.copy()
     df = df[df["timestamp"] >= start_date]
 

nchs_mortality/delphi_nchs_mortality/pull.py

@@ -1,10 +1,11 @@
 # -*- coding: utf-8 -*-
+"""Functions for pulling NCHS mortality data API."""
 import numpy as np
 import pandas as pd
 from sodapy import Socrata
 
 def pull_nchs_mortality_data(token: str, map_df: pd.DataFrame, test_mode: str):
-    """Pulls the latest NCHS Mortality data, and conforms it into a dataset
+    """Pull the latest NCHS Mortality data, and conforms it into a dataset.
 
     The output dataset has:
 

nchs_mortality/delphi_nchs_mortality/run.py

@@ -30,7 +30,7 @@
 geo_res = "state"
 
 def run_module():
-
+    """Run module for processing NCHS mortality data."""
     params = read_params()
     export_start_date = params["export_start_date"]
     if export_start_date == "latest": # Find the previous Saturday