Updating categorical imputer tests to reference new methods

Author: Brendan Herger

sklearn_pandas/categorical_imputer.py

@@ -41,7 +41,7 @@ class CategoricalImputer(BaseEstimator, TransformerMixin):
         - If "constant", then replace missing values with fill_value. Can be
           used with strings or numeric data.
 
-    replacement : string, optional (default='?')
+    fill_value : string, optional (default='?')
         The value that all instances of `missing_values` are replaced
         with if `strategy` is set to `constant`. This is useful if
         you don't want to impute with the mode, or if there are multiple

tests/test_categorical_imputer.py

@@ -147,7 +147,7 @@ def test_custom_replacement(replacement_value, input_type):
     Xc = X.copy()
 
     Xt = CategoricalImputer(
-        strategy='fixed_value',
+        strategy='constant',
         fill_value=replacement_value
     ).fit_transform(X)
 
@@ -158,10 +158,10 @@ def test_custom_replacement(replacement_value, input_type):
 
 def test_missing_replacement():
     """
-    Raise error if no replacement value specified and strategy='fixed_value'
+    Raise error if no replacement value specified and strategy='constant'
     """
     with pytest.raises(ValueError):
-        CategoricalImputer(strategy="fixed_value")
+        CategoricalImputer(strategy="constant")
 
 
 def test_invalid_strategy():