diff --git a/pandas/core/generic.py b/pandas/core/generic.py index 86b6c4a6cf575..dd1e03056b702 100644 --- a/pandas/core/generic.py +++ b/pandas/core/generic.py @@ -10732,7 +10732,7 @@ def all(self, axis=0, bool_only=None, skipna=True, level=None, **kwargs): @doc( desc="Return the mean absolute deviation of the values " - "for the requested axis.", + "over the requested axis.", name1=name1, name2=name2, axis_descr=axis_descr, @@ -10868,7 +10868,7 @@ def cumprod(self, axis=None, skipna=True, *args, **kwargs): @doc( _num_doc, - desc="Return the sum of the values for the requested axis.\n\n" + desc="Return the sum of the values over the requested axis.\n\n" "This is equivalent to the method ``numpy.sum``.", name1=name1, name2=name2, @@ -10894,7 +10894,7 @@ def sum( @doc( _num_doc, - desc="Return the product of the values for the requested axis.", + desc="Return the product of the values over the requested axis.", name1=name1, name2=name2, axis_descr=axis_descr, @@ -10920,7 +10920,7 @@ def prod( @doc( _num_doc, - desc="Return the mean of the values for the requested axis.", + desc="Return the mean of the values over the requested axis.", name1=name1, name2=name2, axis_descr=axis_descr, @@ -10969,7 +10969,7 @@ def kurt(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs): @doc( _num_doc, - desc="Return the median of the values for the requested axis.", + desc="Return the median of the values over the requested axis.", name1=name1, name2=name2, axis_descr=axis_descr, @@ -10986,7 +10986,7 @@ def median( @doc( _num_doc, - desc="Return the maximum of the values for the requested axis.\n\n" + desc="Return the maximum of the values over the requested axis.\n\n" "If you want the *index* of the maximum, use ``idxmax``. This is" "the equivalent of the ``numpy.ndarray`` method ``argmax``.", name1=name1, @@ -11003,7 +11003,7 @@ def max(self, axis=None, skipna=None, level=None, numeric_only=None, **kwargs): @doc( _num_doc, - desc="Return the minimum of the values for the requested axis.\n\n" + desc="Return the minimum of the values over the requested axis.\n\n" "If you want the *index* of the minimum, use ``idxmin``. This is" "the equivalent of the ``numpy.ndarray`` method ``argmin``.", name1=name1,