@@ -10433,7 +10433,7 @@ def _add_numeric_operations(cls):
1043310433
1043410434 @doc (
1043510435 desc = "Return the mean absolute deviation of the values "
10436- "for the requested axis." ,
10436+ "across the requested axis." ,
1043710437 name1 = name1 ,
1043810438 name2 = name2 ,
1043910439 axis_descr = axis_descr ,
@@ -10560,7 +10560,7 @@ def mad(self, axis=None, skipna=None, level=None):
1056010560 name1 = name1 ,
1056110561 name2 = name2 ,
1056210562 axis_descr = axis_descr ,
10563- desc = "Return the sum of the values for the requested axis.\n \n "
10563+ desc = "Return the sum of the values across the requested axis.\n \n "
1056410564 "This is equivalent to the method ``numpy.sum``." ,
1056510565 func = nanops .nansum ,
1056610566 see_also = _stat_func_see_also ,
@@ -10572,7 +10572,7 @@ def mad(self, axis=None, skipna=None, level=None):
1057210572 name1 = name1 ,
1057310573 name2 = name2 ,
1057410574 axis_descr = axis_descr ,
10575- desc = "Return the mean of the values for the requested axis." ,
10575+ desc = "Return the mean of the values across the requested axis." ,
1057610576 func = nanops .nanmean ,
1057710577 )
1057810578 cls .skew = _make_stat_function (
@@ -10603,7 +10603,7 @@ def mad(self, axis=None, skipna=None, level=None):
1060310603 name1 = name1 ,
1060410604 name2 = name2 ,
1060510605 axis_descr = axis_descr ,
10606- desc = "Return the product of the values for the requested axis." ,
10606+ desc = "Return the product of the values across the requested axis." ,
1060710607 func = nanops .nanprod ,
1060810608 examples = _prod_examples ,
1060910609 )
@@ -10614,7 +10614,7 @@ def mad(self, axis=None, skipna=None, level=None):
1061410614 name1 = name1 ,
1061510615 name2 = name2 ,
1061610616 axis_descr = axis_descr ,
10617- desc = "Return the median of the values for the requested axis." ,
10617+ desc = "Return the median of the values across the requested axis." ,
1061810618 func = nanops .nanmedian ,
1061910619 )
1062010620 cls .max = _make_stat_function (
@@ -10623,7 +10623,7 @@ def mad(self, axis=None, skipna=None, level=None):
1062310623 name1 = name1 ,
1062410624 name2 = name2 ,
1062510625 axis_descr = axis_descr ,
10626- desc = "Return the maximum of the values for the requested axis.\n \n "
10626+ desc = "Return the maximum of the values across the requested axis.\n \n "
1062710627 "If you want the *index* of the maximum, use ``idxmax``. This is"
1062810628 "the equivalent of the ``numpy.ndarray`` method ``argmax``." ,
1062910629 func = nanops .nanmax ,
@@ -10636,7 +10636,7 @@ def mad(self, axis=None, skipna=None, level=None):
1063610636 name1 = name1 ,
1063710637 name2 = name2 ,
1063810638 axis_descr = axis_descr ,
10639- desc = "Return the minimum of the values for the requested axis.\n \n "
10639+ desc = "Return the minimum of the values across the requested axis.\n \n "
1064010640 "If you want the *index* of the minimum, use ``idxmin``. This is"
1064110641 "the equivalent of the ``numpy.ndarray`` method ``argmin``." ,
1064210642 func = nanops .nanmin ,
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