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| author | Dmitry Kutlenkov <kutlenkov.dmitri@gmail.com> | 2020-05-17 21:14:11 +0300 |
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| committer | Dmitry Kutlenkov <kutlenkov.dmitri@gmail.com> | 2020-05-17 21:14:11 +0300 |
| commit | ec95e33b98e63b2b5e7bac31400c2c30998e052f (patch) | |
| tree | 7cc4cbd7064dc78c0014ec9ed944b3eddde547e1 /numpy/core/fromnumeric.py | |
| parent | 4f88a0267a3a4992aacde45df7719fdef713bedc (diff) | |
| download | numpy-ec95e33b98e63b2b5e7bac31400c2c30998e052f.tar.gz | |
DOC: Clarifications for np.var
Diffstat (limited to 'numpy/core/fromnumeric.py')
| -rw-r--r-- | numpy/core/fromnumeric.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/numpy/core/fromnumeric.py b/numpy/core/fromnumeric.py index fa8941828..7193af839 100644 --- a/numpy/core/fromnumeric.py +++ b/numpy/core/fromnumeric.py @@ -3562,9 +3562,9 @@ def var(a, axis=None, dtype=None, out=None, ddof=0, keepdims=np._NoValue): Notes ----- The variance is the average of the squared deviations from the mean, - i.e., ``var = mean(abs(x - x.mean())**2)``. + i.e., ``var = mean(x)``, where ``x = abs(a - a.mean())**2``. - The mean is normally calculated as ``x.sum() / N``, where ``N = len(x)``. + The mean is typically calculated as ``x.sum() / N``, where ``N = len(x)``. If, however, `ddof` is specified, the divisor ``N - ddof`` is used instead. In standard statistical practice, ``ddof=1`` provides an unbiased estimator of the variance of a hypothetical infinite population. |