diff options
Diffstat (limited to 'numpy/oldnumeric/mlab.py')
-rw-r--r-- | numpy/oldnumeric/mlab.py | 12 |
1 files changed, 8 insertions, 4 deletions
diff --git a/numpy/oldnumeric/mlab.py b/numpy/oldnumeric/mlab.py index 47be89e1b..c11e34c1f 100644 --- a/numpy/oldnumeric/mlab.py +++ b/numpy/oldnumeric/mlab.py @@ -1,6 +1,10 @@ # This module is for compatibility only. All functions are defined elsewhere. -__all__ = ['rand', 'tril', 'trapz', 'hanning', 'rot90', 'triu', 'diff', 'angle', 'roots', 'ptp', 'kaiser', 'randn', 'cumprod', 'diag', 'msort', 'LinearAlgebra', 'RandomArray', 'prod', 'std', 'hamming', 'flipud', 'max', 'blackman', 'corrcoef', 'bartlett', 'eye', 'squeeze', 'sinc', 'tri', 'cov', 'svd', 'min', 'median', 'fliplr', 'eig', 'mean'] +__all__ = ['rand', 'tril', 'trapz', 'hanning', 'rot90', 'triu', 'diff', 'angle', + 'roots', 'ptp', 'kaiser', 'randn', 'cumprod', 'diag', 'msort', + 'LinearAlgebra', 'RandomArray', 'prod', 'std', 'hamming', 'flipud', + 'max', 'blackman', 'corrcoef', 'bartlett', 'eye', 'squeeze', 'sinc', + 'tri', 'cov', 'svd', 'min', 'median', 'fliplr', 'eig', 'mean'] import numpy.oldnumeric.linear_algebra as LinearAlgebra import numpy.oldnumeric.random_array as RandomArray @@ -12,7 +16,7 @@ from numpy import tril, trapz as _Ntrapz, hanning, rot90, triu, diff, \ from numpy.linalg import eig, svd from numpy.random import rand, randn -import numpy as nn +import numpy as np from typeconv import convtypecode @@ -22,7 +26,7 @@ def eye(N, M=None, k=0, typecode=None, dtype=None): """ dtype = convtypecode(typecode, dtype) if M is None: M = N - m = nn.equal(nn.subtract.outer(nn.arange(N), nn.arange(M)),-k) + m = np.equal(np.subtract.outer(np.arange(N), np.arange(M)),-k) if m.dtype != dtype: return m.astype(dtype) @@ -32,7 +36,7 @@ def tri(N, M=None, k=0, typecode=None, dtype=None): """ dtype = convtypecode(typecode, dtype) if M is None: M = N - m = nn.greater_equal(nn.subtract.outer(nn.arange(N), nn.arange(M)),-k) + m = np.greater_equal(np.subtract.outer(np.arange(N), np.arange(M)),-k) if m.dtype != dtype: return m.astype(dtype) |