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Diffstat (limited to 'numpy/core/fromnumeric.py')
| -rw-r--r-- | numpy/core/fromnumeric.py | 8 |
1 files changed, 4 insertions, 4 deletions
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 |