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author | Sebastian Berg <sebastian@sipsolutions.net> | 2020-05-18 08:25:11 -0500 |
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committer | GitHub <noreply@github.com> | 2020-05-18 08:25:11 -0500 |
commit | 32ae22722fc1f665a90d16b110c219b1c24c857e (patch) | |
tree | 8ee24812dbe8cf346331bde81df7feae5bf4c3c4 /numpy/core/fromnumeric.py | |
parent | fe610388a1f25c8d8ad80fbedd8117d91fdce9db (diff) | |
parent | ec95e33b98e63b2b5e7bac31400c2c30998e052f (diff) | |
download | numpy-32ae22722fc1f665a90d16b110c219b1c24c857e.tar.gz |
Merge pull request #16278 from SacredArrow/var-doc-edit
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. |