From 8c663313de36e860bbfea0909de181d330bfdfc7 Mon Sep 17 00:00:00 2001 From: Jarrod Millman Date: Sun, 20 Apr 2008 11:49:35 +0000 Subject: ran reindent in preparation for the 1.1 release --- numpy/core/fromnumeric.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) (limited to 'numpy/core/fromnumeric.py') diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py index 471a50a8c..35c2e9a65 100644 --- a/numpy/core/fromnumeric.py +++ b/numpy/core/fromnumeric.py @@ -1671,10 +1671,10 @@ def std(a, axis=None, dtype=None, out=None, ddof=0): Notes ----- The standard deviation is the square root of the average of the squared - deviations from the mean, i.e. var = sqrt(mean(abs(x - x.mean())**2)). - The computed standard deviation is computed by dividing by the number of - elements, N-ddof. The option ddof defaults to zero, that is, a - biased estimate. Note that for complex numbers std takes the absolute + deviations from the mean, i.e. var = sqrt(mean(abs(x - x.mean())**2)). + The computed standard deviation is computed by dividing by the number of + elements, N-ddof. The option ddof defaults to zero, that is, a + biased estimate. Note that for complex numbers std takes the absolute value before squaring, so that the result is always real and nonnegative. Examples -- cgit v1.2.1