diff options
Diffstat (limited to 'numpy/ma/extras.py')
| -rw-r--r-- | numpy/ma/extras.py | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/numpy/ma/extras.py b/numpy/ma/extras.py index b84edf595..77b3d1923 100644 --- a/numpy/ma/extras.py +++ b/numpy/ma/extras.py @@ -401,7 +401,7 @@ def median(a, axis=None, out=None, overwrite_input=False): Notes ----- - Given a vector V with N non masked values, the median of V is the middle + Given a vector V with N non masked values, the median of V is the middle value of a sorted copy of V (Vs) - i.e. Vs[(N-1)/2], when N is odd, or {Vs[N/2 - 1] + Vs[N/2]}/2. when N is even. @@ -550,9 +550,9 @@ def mask_cols(a, axis=None): def dot(a,b, strict=False): """Return the dot product of two 2D masked arrays a and b. - Like the generic numpy equivalent, the product sum is over the last - dimension of a and the second-to-last dimension of b. If strict is True, - masked values are propagated: if a masked value appears in a row or column, + Like the generic numpy equivalent, the product sum is over the last + dimension of a and the second-to-last dimension of b. If strict is True, + masked values are propagated: if a masked value appears in a row or column, the whole row or column is considered masked. Parameters @@ -649,7 +649,7 @@ def _covhelper(x, y=None, rowvar=True, allow_masked=True): """ Private function for the computation of covariance and correlation coefficients. - + """ x = ma.array(x, ndmin=2, copy=True, dtype=float) xmask = ma.getmaskarray(x) @@ -694,9 +694,9 @@ def cov(x, y=None, rowvar=True, bias=False, allow_masked=True): Normalization is by (N-1) where N is the number of observations (unbiased estimate). If bias is True then normalization is by N. - By default, masked values are recognized as such. If x and y have the same + By default, masked values are recognized as such. If x and y have the same shape, a common mask is allocated: if x[i,j] is masked, then y[i,j] will also - be masked. + be masked. Setting `allow_masked` to False will raise an exception if values are missing in either of the input arrays. |