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| author | Paul Ivanov <paul.ivanov@local> | 2009-12-28 20:49:52 +0000 |
|---|---|---|
| committer | Paul Ivanov <paul.ivanov@local> | 2009-12-28 20:49:52 +0000 |
| commit | e4f233ecfedd2aafa258db2d3ae27e30604cc020 (patch) | |
| tree | 6d32fbdd19b8dca00cd7cafd8df076bac55ddfd8 /numpy/matlib.py | |
| parent | 5ba01996a9ab2fdfb7c120a5afae801f854a781a (diff) | |
| download | numpy-e4f233ecfedd2aafa258db2d3ae27e30604cc020.tar.gz | |
fixed a whole bunch of doctests
Diffstat (limited to 'numpy/matlib.py')
| -rw-r--r-- | numpy/matlib.py | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/numpy/matlib.py b/numpy/matlib.py index 9e80dd475..06bbaa02b 100644 --- a/numpy/matlib.py +++ b/numpy/matlib.py @@ -38,10 +38,10 @@ def empty(shape, dtype=None, order='C'): >>> import numpy.matlib >>> np.matlib.empty((2, 2)) # filled with random data matrix([[ 6.76425276e-320, 9.79033856e-307], - [ 7.39337286e-309, 3.22135945e-309]]) + [ 7.39337286e-309, 3.22135945e-309]]) #random >>> np.matlib.empty((2, 2), dtype=int) matrix([[ 6600475, 0], - [ 6586976, 22740995]]) + [ 6586976, 22740995]]) #random """ return ndarray.__new__(matrix, shape, dtype, order=order) @@ -239,16 +239,16 @@ def rand(*args): >>> import numpy.matlib >>> np.matlib.rand(2, 3) matrix([[ 0.68340382, 0.67926887, 0.83271405], - [ 0.00793551, 0.20468222, 0.95253525]]) + [ 0.00793551, 0.20468222, 0.95253525]]) #random >>> np.matlib.rand((2, 3)) matrix([[ 0.84682055, 0.73626594, 0.11308016], - [ 0.85429008, 0.3294825 , 0.89139555]]) + [ 0.85429008, 0.3294825 , 0.89139555]]) #random If the first argument is a tuple, other arguments are ignored: >>> np.matlib.rand((2, 3), 4) matrix([[ 0.46898646, 0.15163588, 0.95188261], - [ 0.59208621, 0.09561818, 0.00583606]]) + [ 0.59208621, 0.09561818, 0.00583606]]) #random """ if isinstance(args[0], tuple): @@ -289,16 +289,16 @@ def randn(*args): -------- >>> import numpy.matlib >>> np.matlib.randn(1) - matrix([[-0.09542833]]) + matrix([[-0.09542833]]) #random >>> np.matlib.randn(1, 2, 3) matrix([[ 0.16198284, 0.0194571 , 0.18312985], - [-0.7509172 , 1.61055 , 0.45298599]]) + [-0.7509172 , 1.61055 , 0.45298599]]) #random Two-by-four matrix of samples from :math:`N(3, 6.25)`: >>> 2.5 * np.matlib.randn((2, 4)) + 3 matrix([[ 4.74085004, 8.89381862, 4.09042411, 4.83721922], - [ 7.52373709, 5.07933944, -2.64043543, 0.45610557]]) + [ 7.52373709, 5.07933944, -2.64043543, 0.45610557]]) #random """ if isinstance(args[0], tuple): |