Fixes for jreback's review

pandas/core/nanops.py

@@ -167,7 +167,9 @@ def _has_infs(result) -> bool:
 
 
 def _get_fill_value(
-    dtype: Dtype, fill_value: Any = None, fill_value_typ: Optional[str] = None
+    dtype: Dtype,
+    fill_value: Optional[Scalar] = None,
+    fill_value_typ: Optional[str] = None,
 ):
     """ return the correct fill value for the dtype of the values """
     if fill_value is not None:
@@ -1279,10 +1281,7 @@ def _zero_out_fperr(arg):
 
 @disallow("M8", "m8")
 def nancorr(
-    a: np.ndarray,
-    b: np.ndarray,
-    method: str = "pearson",
-    min_periods: Optional[int] = None,
+    a: np.ndarray, b: np.ndarray, method="pearson", min_periods: Optional[int] = None,
 ):
     """
     a, b: ndarrays
@@ -1305,8 +1304,8 @@ def nancorr(
     return f(a, b)
 
 
-def get_corr_func(method: str):
-    if method in ["kendall", "spearman"]:
+def get_corr_func(method) -> Callable:
+    if method in ["kendall", "spearman", "pearson"]:
         from scipy.stats import kendalltau, spearmanr
     elif callable(method):
         return method