Revert patients to unknown.

scripts/transform_patients.py

@@ -71,7 +71,6 @@ def convert_race(merged):
 
     merged.loc[merged['RACE'] == 'AmIndAN', 'RACE'] = 'American Indian'
     merged.loc[merged['RACE'] == 'HawPacIs', 'RACE'] = 'Hawaiian Pacific Islander'
-    merged.loc[merged['RACE'] == 'Unknown', 'RACE'] = 'Other'
 
     return merged
 

tests/test_transform_patients.py

@@ -77,7 +77,7 @@ def test_check_race_hawpacis(demographic_2):
 def test_check_race_unknown(demographic_2):
     demographic_2.loc[934, 'RACE'] = 'Unknown'
     check_race_hawpacis = transform_patients.convert_race(demographic_2)
-    assert check_race_hawpacis.loc[934,'RACE'] == 'Other'
+    assert check_race_hawpacis.loc[934,'RACE'] == 'Unknown'
 
 
 @pytest.mark.unit

tests/transform/patients.csv

@@ -4,16 +4,16 @@ mrn,gender,ethnicity,race,age,age_units
 398,Female,Non-hispanic,Black,72,years
 215,Female,Non-hispanic,White,34,years
 904,Male,Non-hispanic,White,34,years
-411,Female,Unknown,Other,79,years
+411,Female,Unknown,Unknown,79,years
 266,Male,Hispanic,White,62,years
 707,Male,Non-hispanic,American Indian,82,years
-350,Female,Unknown,Other,28,years
+350,Female,Unknown,Unknown,28,years
 399,Male,Non-hispanic,Asian,78,years
 903,Female,Non-hispanic,White,23,years
 628,Male,Non-hispanic,White,21,years
 558,Male,Hispanic,White,44,years
 590,Female,Hispanic,Other,38,years
-822,Female,Unknown,Other,90 or above,years
+822,Female,Unknown,Unknown,90 or above,years
 532,Male,Declined,Declined,47,years
 687,Male,Non-hispanic,White,54,years
 423,Female,Declined,White,71,years