Updated docstrings : SA04 (pandas-dev pandas-dev#28792)

Author: suparnasnair

pandas/core/indexes/datetimelike.py

@@ -370,7 +370,7 @@ def min(self, axis=None, skipna=True, *args, **kwargs):
 
         See Also
         --------
-        numpy.ndarray.min
+        numpy.ndarray.min : Return the minimum along a given axis.
         Series.min : Return the minimum value in a Series.
         """
         nv.validate_min(args, kwargs)
@@ -406,7 +406,7 @@ def argmin(self, axis=None, skipna=True, *args, **kwargs):
 
         See Also
         --------
-        numpy.ndarray.argmin
+        numpy.ndarray.argmin : Return indices of the minimum values along the given axis.
         """
         nv.validate_argmin(args, kwargs)
         nv.validate_minmax_axis(axis)
@@ -427,7 +427,7 @@ def max(self, axis=None, skipna=True, *args, **kwargs):
 
         See Also
         --------
-        numpy.ndarray.max
+        numpy.ndarray.max : Return the maximum along a given axis.
         Series.max : Return the maximum value in a Series.
         """
         nv.validate_max(args, kwargs)
@@ -463,7 +463,7 @@ def argmax(self, axis=None, skipna=True, *args, **kwargs):
 
         See Also
         --------
-        numpy.ndarray.argmax
+        numpy.ndarray.argmax : Return indices of the maximum values along the given axis.
         """
         nv.validate_argmax(args, kwargs)
         nv.validate_minmax_axis(axis)