diff options
Diffstat (limited to 'numpy/oldnumeric/mlab.py')
-rw-r--r-- | numpy/oldnumeric/mlab.py | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/numpy/oldnumeric/mlab.py b/numpy/oldnumeric/mlab.py index bc2844a87..2b357612c 100644 --- a/numpy/oldnumeric/mlab.py +++ b/numpy/oldnumeric/mlab.py @@ -29,7 +29,7 @@ def eye(N, M=None, k=0, typecode=None, dtype=None): """ dtype = convtypecode(typecode, dtype) if M is None: M = N - m = np.equal(np.subtract.outer(np.arange(N), np.arange(M)),-k) + m = np.equal(np.subtract.outer(np.arange(N), np.arange(M)), -k) if m.dtype != dtype: return m.astype(dtype) @@ -39,7 +39,7 @@ def tri(N, M=None, k=0, typecode=None, dtype=None): """ dtype = convtypecode(typecode, dtype) if M is None: M = N - m = np.greater_equal(np.subtract.outer(np.arange(N), np.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) @@ -84,8 +84,8 @@ def cov(m, y=None, rowvar=0, bias=0): N = m.shape[0] if (y.shape[0] != N): raise ValueError("x and y must have the same number of observations") - m = m - _Nmean(m,axis=0) - y = y - _Nmean(y,axis=0) + m = m - _Nmean(m, axis=0) + y = y - _Nmean(y, axis=0) if bias: fact = N*1.0 else: @@ -96,7 +96,7 @@ from numpy import sqrt, multiply def corrcoef(x, y=None): c = cov(x, y) d = diag(c) - return c/sqrt(multiply.outer(d,d)) + return c/sqrt(multiply.outer(d, d)) from .compat import * from .functions import * |