diff --git a/jhu/delphi_jhu/geo.py b/jhu/delphi_jhu/geo.py
index 950a75faf..67d8f866e 100644
--- a/jhu/delphi_jhu/geo.py
+++ b/jhu/delphi_jhu/geo.py
@@ -37,7 +37,7 @@ def geo_map(df: pd.DataFrame, geo_res: str, sensor: str):
     elif geo_res == "msa":
         df = gmpr.county_to_msa(df, fips_col="fips", msa_col="geo_id", date_col="timestamp")
         df['geo_id'] = df['geo_id'].astype(int)
-        print(df[df['population']==0])
+        print(df[df['population'] == 0])
     elif geo_res == 'hrr':
         df = gmpr.county_to_hrr(df, fips_col="fips", hrr_col="geo_id", date_col="timestamp")
         df['geo_id'] = df['geo_id'].astype(int)
@@ -48,5 +48,3 @@ def geo_map(df: pd.DataFrame, geo_res: str, sensor: str):
     df['new_counts'] = df['new_counts']
     df['cumulative_counts'] = df['cumulative_counts']
     return df
-
-
diff --git a/jhu/delphi_jhu/pull.py b/jhu/delphi_jhu/pull.py
index 96a32937f..295159f8b 100644
--- a/jhu/delphi_jhu/pull.py
+++ b/jhu/delphi_jhu/pull.py
@@ -1,9 +1,9 @@
 # -*- coding: utf-8 -*-
 
+import re
 from delphi_utils import GeoMapper
 import pandas as pd
 import numpy as np
-import re
 
 def detect_date_col(col_name: str):
     """determine if column name is a date"""
@@ -72,7 +72,7 @@ def pull_jhu_data(base_url: str, metric: str, pop_df: pd.DataFrame) -> pd.DataFr
 
 
     gmpr = GeoMapper()
-    df = gmpr.jhu_uid_to_county(df,jhu_col="UID",date_col='timestamp')
+    df = gmpr.jhu_uid_to_county(df, jhu_col="UID", date_col='timestamp')
 
     """
     df = df[
@@ -87,7 +87,7 @@ def pull_jhu_data(base_url: str, metric: str, pop_df: pd.DataFrame) -> pd.DataFr
     """
     # Merge in population LOWERCASE, consistent across confirmed and deaths
     # Set population as NAN for fake fips
-    pop_df.rename(columns={'FIPS':'fips'},inplace=True)
+    pop_df.rename(columns={'FIPS':'fips'}, inplace=True)
     pop_df['fips'] = pop_df['fips'].astype(int).\
         astype(str).str.zfill(5)
     df = pd.merge(df, pop_df, on="fips", how='left')