@@ -198,8 +198,8 @@ def nanmin(a, axis=None, out=None, keepdims=np._NoValue):
198198 a : array_like
199199 Array containing numbers whose minimum is desired. If `a` is not an
200200 array, a conversion is attempted.
201- axis : int, optional
202- Axis along which the minimum is computed. The default is to compute
201+ axis : { int, tuple of int, None} , optional
202+ Axis or axes along which the minimum is computed. The default is to compute
203203 the minimum of the flattened array.
204204 out : ndarray, optional
205205 Alternate output array in which to place the result. The default
@@ -306,8 +306,8 @@ def nanmax(a, axis=None, out=None, keepdims=np._NoValue):
306306 a : array_like
307307 Array containing numbers whose maximum is desired. If `a` is not an
308308 array, a conversion is attempted.
309- axis : int, optional
310- Axis along which the maximum is computed. The default is to compute
309+ axis : { int, tuple of int, None} , optional
310+ Axis or axes along which the maximum is computed. The default is to compute
311311 the maximum of the flattened array.
312312 out : ndarray, optional
313313 Alternate output array in which to place the result. The default
@@ -505,8 +505,8 @@ def nansum(a, axis=None, dtype=None, out=None, keepdims=np._NoValue):
505505 a : array_like
506506 Array containing numbers whose sum is desired. If `a` is not an
507507 array, a conversion is attempted.
508- axis : int, optional
509- Axis along which the sum is computed. The default is to compute the
508+ axis : { int, tuple of int, None} , optional
509+ Axis or axes along which the sum is computed. The default is to compute the
510510 sum of the flattened array.
511511 dtype : data-type, optional
512512 The type of the returned array and of the accumulator in which the
@@ -596,8 +596,8 @@ def nanprod(a, axis=None, dtype=None, out=None, keepdims=np._NoValue):
596596 a : array_like
597597 Array containing numbers whose product is desired. If `a` is not an
598598 array, a conversion is attempted.
599- axis : int, optional
600- Axis along which the product is computed. The default is to compute
599+ axis : { int, tuple of int, None} , optional
600+ Axis or axes along which the product is computed. The default is to compute
601601 the product of the flattened array.
602602 dtype : data-type, optional
603603 The type of the returned array and of the accumulator in which the
@@ -791,8 +791,8 @@ def nanmean(a, axis=None, dtype=None, out=None, keepdims=np._NoValue):
791791 a : array_like
792792 Array containing numbers whose mean is desired. If `a` is not an
793793 array, a conversion is attempted.
794- axis : int, optional
795- Axis along which the means are computed. The default is to compute
794+ axis : { int, tuple of int, None} , optional
795+ Axis or axes along which the means are computed. The default is to compute
796796 the mean of the flattened array.
797797 dtype : data-type, optional
798798 Type to use in computing the mean. For integer inputs, the default
@@ -1217,8 +1217,8 @@ def nanvar(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue):
12171217 a : array_like
12181218 Array containing numbers whose variance is desired. If `a` is not an
12191219 array, a conversion is attempted.
1220- axis : int, optional
1221- Axis along which the variance is computed. The default is to compute
1220+ axis : { int, tuple of int, None} , optional
1221+ Axis or axes along which the variance is computed. The default is to compute
12221222 the variance of the flattened array.
12231223 dtype : data-type, optional
12241224 Type to use in computing the variance. For arrays of integer type
@@ -1359,8 +1359,8 @@ def nanstd(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue):
13591359 ----------
13601360 a : array_like
13611361 Calculate the standard deviation of the non-NaN values.
1362- axis : int, optional
1363- Axis along which the standard deviation is computed. The default is
1362+ axis : { int, tuple of int, None} , optional
1363+ Axis or axes along which the standard deviation is computed. The default is
13641364 to compute the standard deviation of the flattened array.
13651365 dtype : dtype, optional
13661366 Type to use in computing the standard deviation. For arrays of
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