diff options
Diffstat (limited to 'numpy/add_newdocs.py')
| -rw-r--r-- | numpy/add_newdocs.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py index ea8915af3..c91e8482c 100644 --- a/numpy/add_newdocs.py +++ b/numpy/add_newdocs.py @@ -657,7 +657,7 @@ add_newdoc('numpy.core.multiarray', 'ndarray', ('mean', is given, this equals: a.sum(axis, dtype) * 1.0 / len(a). If axis is None, this equals: - a.sum(axis, dtype) * 1.0 / product(a.shape) + a.sum(axis, dtype) * 1.0 / product(a.shape,axis=0) The optional dtype argument is the data type for intermediate calculations in the sum.; @@ -834,7 +834,7 @@ distribution. The standard deviation is the square root of the average of the squared deviations from the mean, i.e. - std = sqrt(mean((x - x.mean())**2)). + std = sqrt(mean((x - x.mean())**2,axis=0)). For multidimensional arrays, std is computed by default along the first axis. @@ -853,7 +853,7 @@ value and intermediate calculations. The default is to upcast (promote) smaller integer types to the platform-dependent int. For example, on 32-bit platforms: - a.dtype default sum() dtype + a.dtype default sum dtype --------------------------------------------------- bool, int8, int16, int32 int32 |