diff options
Diffstat (limited to 'numpy/lib')
| -rw-r--r-- | numpy/lib/index_tricks.py | 2 | ||||
| -rw-r--r-- | numpy/lib/tests/test_index_tricks.py | 2 | ||||
| -rw-r--r-- | numpy/lib/type_check.py | 1 | ||||
| -rw-r--r-- | numpy/lib/user_array.py | 2 |
4 files changed, 3 insertions, 4 deletions
diff --git a/numpy/lib/index_tricks.py b/numpy/lib/index_tricks.py index ca3d60869..b2ea5e965 100644 --- a/numpy/lib/index_tricks.py +++ b/numpy/lib/index_tricks.py @@ -657,7 +657,7 @@ def fill_diagonal(a, val, wrap=False): Value to be written on the diagonal, its type must be compatible with that of the array a. - wrap : bool + wrap : bool For tall matrices in NumPy version up to 1.6.2, the diagonal "wrapped" after N columns. You can have this behavior with this option. This affect only tall matrices. diff --git a/numpy/lib/tests/test_index_tricks.py b/numpy/lib/tests/test_index_tricks.py index 32b3c7036..01b705b5d 100644 --- a/numpy/lib/tests/test_index_tricks.py +++ b/numpy/lib/tests/test_index_tricks.py @@ -256,7 +256,7 @@ def test_ndindex(): assert_equal(x, [()]) x = list(np.ndindex(())) - assert_equal(x, [()]) + assert_equal(x, [()]) if __name__ == "__main__": diff --git a/numpy/lib/type_check.py b/numpy/lib/type_check.py index da9e13847..d52ad095d 100644 --- a/numpy/lib/type_check.py +++ b/numpy/lib/type_check.py @@ -603,4 +603,3 @@ def common_type(*arrays): return array_type[1][precision] else: return array_type[0][precision] - diff --git a/numpy/lib/user_array.py b/numpy/lib/user_array.py index d675d3702..cc9612427 100644 --- a/numpy/lib/user_array.py +++ b/numpy/lib/user_array.py @@ -12,7 +12,7 @@ from numpy.core import ( bitwise_xor, invert, less, less_equal, not_equal, equal, greater, greater_equal, shape, reshape, arange, sin, sqrt, transpose ) -from numpy.compat import long +from numpy.compat import long class container(object): def __init__(self, data, dtype=None, copy=True): |