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author | Jarrod Millman <millman@berkeley.edu> | 2007-10-29 14:58:18 +0000 |
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committer | Jarrod Millman <millman@berkeley.edu> | 2007-10-29 14:58:18 +0000 |
commit | 0b77f0e5f0e46b2ef7c570ebda046c34bbcc0f26 (patch) | |
tree | c7609a2a685fd5bff235d812b8c5705621216f4c /numpy/oldnumeric/random_array.py | |
parent | aa3c27cce3d0625f719b812c9e6b0aa73114c612 (diff) | |
download | numpy-0b77f0e5f0e46b2ef7c570ebda046c34bbcc0f26.tar.gz |
ran reindent.py to clean up whitespace
Diffstat (limited to 'numpy/oldnumeric/random_array.py')
-rw-r--r-- | numpy/oldnumeric/random_array.py | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/numpy/oldnumeric/random_array.py b/numpy/oldnumeric/random_array.py index 94c54603f..73564811d 100644 --- a/numpy/oldnumeric/random_array.py +++ b/numpy/oldnumeric/random_array.py @@ -81,13 +81,13 @@ def multivariate_normal(mean, cov, shape=[]): """multivariate_normal(mean, cov) or multivariate_normal(mean, cov, [m, n, ...]) returns an array containing multivariate normally distributed random numbers with specified mean and covariance. - + mean must be a 1 dimensional array. cov must be a square two dimensional array with the same number of rows and columns as mean has elements. - + The first form returns a single 1-D array containing a multivariate normal. - + The second form returns an array of shape (m, n, ..., cov.shape[0]). In this case, output[i,j,...,:] is a 1-D array containing a multivariate normal.""" |