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-rw-r--r--numpy/oldnumeric/linear_algebra.py6
1 files changed, 3 insertions, 3 deletions
diff --git a/numpy/oldnumeric/linear_algebra.py b/numpy/oldnumeric/linear_algebra.py
index f9938b503..8208637b8 100644
--- a/numpy/oldnumeric/linear_algebra.py
+++ b/numpy/oldnumeric/linear_algebra.py
@@ -24,7 +24,7 @@ import numpy.linalg as linalg
LinAlgError = linalg.LinAlgError
def solve_linear_equations(a, b):
- return linalg.solve(a,b)
+ return linalg.solve(a, b)
# Matrix inversion
@@ -42,7 +42,7 @@ def eigenvalues(a):
return linalg.eigvals(a)
def Heigenvalues(a, UPLO='L'):
- return linalg.eigvalsh(a,UPLO)
+ return linalg.eigvalsh(a, UPLO)
# Eigenvectors
@@ -79,7 +79,7 @@ the number of rows, then residuals will be returned as an empty array
otherwise resids = sum((b-dot(A,x)**2).
Singular values less than s[0]*rcond are treated as zero.
"""
- return linalg.lstsq(a,b,rcond)
+ return linalg.lstsq(a, b, rcond)
def singular_value_decomposition(A, full_matrices=0):
return linalg.svd(A, full_matrices)