Update cdccovidnet docstrings to pass pydocstyle

cdc_covidnet/delphi_cdc_covidnet/api_config.py

@@ -6,9 +6,8 @@
 """
 
 class APIConfig:
-    """
-    Static configuration variables
-    """
+    """Static configuration variables."""
+
     # API Parameters
     INIT_URL = "https://gis.cdc.gov/grasp/covid19_3_api/GetPhase03InitApp"
     MMWR_COLS = ["year", "weeknumber", "weekstart", "weekend"]

cdc_covidnet/delphi_cdc_covidnet/constants.py

@@ -1,5 +1,3 @@
-"""
-Registry for signal names
-"""
+"""Registry for signal names."""
 COVIDNET = "covidnet"
 SIGNALS = [COVIDNET]

cdc_covidnet/delphi_cdc_covidnet/covidnet.py

@@ -17,22 +17,19 @@
 from .api_config import APIConfig
 
 class CovidNet:
-    """
-    Methods for downloading and loading COVID-NET data
-    """
+    """Methods for downloading and loading COVID-NET data."""
 
     @staticmethod
     def download_mappings(
             url: str = APIConfig.INIT_URL,
             outfile: str = "./init.json"):
         """
-        Downloads the JSON file with all mappings (age, mmwr, catchments etc.) to disk
+        Download the JSON file with all mappings (age, mmwr, catchments etc.) to disk.
 
         Args:
             url: The API URL to GET from
             outfile: The output JSON file to write to
         """
-
         params = {"appVersion": "Public"}
         data = requests.get(url, params).json()
         with open(outfile, "w") as f_json:
@@ -41,8 +38,7 @@ def download_mappings(
     @staticmethod
     def read_mappings(infile: str) -> Tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]:
         """
-        Reads the mappings JSON file from disk to produce formatted
-        pd.DataFrame for relevant mappings
+        Read the mappings JSON file from disk to produce formatted DataFrames for relevant mappings.
 
         Args:
             infile: Mappings JSON file
@@ -52,7 +48,6 @@ def read_mappings(infile: str) -> Tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame
             mmwr_info: Date-related mappings
             catchment_info: Geography-related mappings
         """
-
         with open(infile, "r") as f_json:
             data = json.load(f_json)
 
@@ -76,7 +71,8 @@ def download_hosp_data(
             outfile: str,
             url: str = APIConfig.HOSP_URL):
         """
-        Downloads hospitalization data to disk for a particular network or state
+        Download hospitalization data to disk for a particular network or state.
+
         Refer to catchment_info for network & catchment ID mappings
         Refer to age_info for age-group mappings
         Seasons are enumerated in original mappings JSON file
@@ -89,7 +85,6 @@ def download_hosp_data(
             outfile: JSON file to write the results to
             url: The API URL to POST to for downloading hospitalization data
         """
-
         download_params = {
             "AppVersion": "Public",
             "networkid": network_id,
@@ -108,7 +103,7 @@ def download_all_hosp_data(
             mappings_file: str, cache_path: str, parallel: bool = False
         ) -> List[str]:
         """
-        Downloads hospitalization data for all states listed in the mappings JSON file to disk.
+        Download hospitalization data for all states listed in the mappings JSON file to disk.
 
         Args:
             mappings_file: Mappings JSON file
@@ -118,7 +113,6 @@ def download_all_hosp_data(
         Returns:
             List of all downloaded JSON filenames (including the cache_path)
         """
-
         catchment_info, _, age_info = CovidNet.read_mappings(mappings_file)
 
         # By state
@@ -159,15 +153,14 @@ def download_all_hosp_data(
     @staticmethod
     def read_all_hosp_data(state_files: List[str]) -> pd.DataFrame:
         """
-        Read and combine hospitalization JSON files for each state into a pd.DataFrame
+        Read and combine hospitalization JSON files for each state into a pd.DataFrame.
 
         Args:
             state_files: List of hospitalization JSON files for each state to read from disk
 
         Returns:
             Single pd.DataFrame with all the hospitalization data combined
         """
-
         dfs = []
         for state_file in state_files:
             # Read json

cdc_covidnet/delphi_cdc_covidnet/run.py

@@ -16,10 +16,7 @@
 
 
 def run_module():
-    """
-    Parse parameters and generates csv files for the COVID-NET sensor
-    """
-
+    """Parse parameters and generates csv files for the COVID-NET sensor."""
     params = read_params()
 
     logging.basicConfig(level=logging.DEBUG)

cdc_covidnet/delphi_cdc_covidnet/update_sensor.py

@@ -21,6 +21,7 @@
 def write_to_csv(data: pd.DataFrame, out_name: str, output_path: str):
     """
     Write sensor values to csv.
+
     The dataframe be indexed by (date, geo_id), with columns
     values, se, sample_size
 
@@ -29,7 +30,6 @@ def write_to_csv(data: pd.DataFrame, out_name: str, output_path: str):
         output_name: Suffix name to add to each output file
         output_path: Path to write the csvs to
     """
-
     # Each date is a csv file
     dates = data.index.get_level_values("date").unique()
     for date in dates:
@@ -109,7 +109,8 @@ def update_sensor(
 
 
 def add_prefix(signal_names, wip_signal, prefix):
-    """Adds prefix to signal if there is a WIP signal
+    """Add prefix to signal if there is a WIP signal.
+
     Parameters
     ----------
     signal_names: List[str]
@@ -125,7 +126,6 @@ def add_prefix(signal_names, wip_signal, prefix):
     List of signal names
         wip/non wip signals for further computation
     """
-
     if wip_signal is True:
         return [prefix + signal for signal in signal_names]
     if isinstance(wip_signal, list):
@@ -144,7 +144,8 @@ def add_prefix(signal_names, wip_signal, prefix):
 
 
 def public_signal(signal_):
-    """Checks if the signal name is already public using COVIDcast
+    """Check if the signal name is already public using COVIDcast.
+
     Parameters
     ----------
     signal_ : str