Fix inconsistent uses of row-wise and column-wise in axis param docs (#47237)

* fix corrwith docs

* remove row-wise and column-wise language from all() docs

Author: jackgoldsmith4

pandas/core/frame.py

@@ -10159,8 +10159,8 @@ def corrwith(
         other : DataFrame, Series
             Object with which to compute correlations.
         axis : {0 or 'index', 1 or 'columns'}, default 0
-            The axis to use. 0 or 'index' to compute column-wise, 1 or 'columns' for
-            row-wise.
+            The axis to use. 0 or 'index' to compute row-wise, 1 or 'columns' for
+            column-wise.
         drop : bool, default False
             Drop missing indices from result.
         method : {'pearson', 'kendall', 'spearman'} or callable
@@ -10836,7 +10836,7 @@ def quantile(
         ----------
         q : float or array-like, default 0.5 (50% quantile)
             Value between 0 <= q <= 1, the quantile(s) to compute.
-        axis : {0, 1, 'index', 'columns'}, default 0
+        axis : {0 or 'index', 1 or 'columns'}, default 0
             Equals 0 or 'index' for row-wise, 1 or 'columns' for column-wise.
         numeric_only : bool, default True
             If False, the quantile of datetime and timedelta data will be

pandas/core/generic.py

@@ -11756,14 +11756,14 @@ def _doc_params(cls):
 0  True   True
 1  True  False
 
-Default behaviour checks if column-wise values all return True.
+Default behaviour checks if values in each column all return True.
 
 >>> df.all()
 col1     True
 col2    False
 dtype: bool
 
-Specify ``axis='columns'`` to check if row-wise values all return True.
+Specify ``axis='columns'`` to check if values in each row all return True.
 
 >>> df.all(axis='columns')
 0     True