diff options
Diffstat (limited to 'numpy/add_newdocs.py')
-rw-r--r-- | numpy/add_newdocs.py | 12 |
1 files changed, 6 insertions, 6 deletions
diff --git a/numpy/add_newdocs.py b/numpy/add_newdocs.py index de80affd2..827dcfbdb 100644 --- a/numpy/add_newdocs.py +++ b/numpy/add_newdocs.py @@ -931,7 +931,7 @@ add_newdoc('numpy.core.multiarray', 'zeros', >>> np.zeros(5) array([ 0., 0., 0., 0., 0.]) - >>> np.zeros((5,), dtype=np.int) + >>> np.zeros((5,), dtype=int) array([0, 0, 0, 0, 0]) >>> np.zeros((2, 1)) @@ -1038,7 +1038,7 @@ add_newdoc('numpy.core.multiarray', 'fromiter', Examples -------- >>> iterable = (x*x for x in range(5)) - >>> np.fromiter(iterable, np.float) + >>> np.fromiter(iterable, float) array([ 0., 1., 4., 9., 16.]) """) @@ -1635,9 +1635,9 @@ add_newdoc('numpy.core.multiarray', 'can_cast', >>> np.can_cast(np.int32, np.int64) True - >>> np.can_cast(np.float64, np.complex) + >>> np.can_cast(np.float64, complex) True - >>> np.can_cast(np.complex, np.float) + >>> np.can_cast(complex, float) False >>> np.can_cast('i8', 'f8') @@ -5163,7 +5163,7 @@ add_newdoc('numpy.core.multiarray', 'bincount', The input array needs to be of integer dtype, otherwise a TypeError is raised: - >>> np.bincount(np.arange(5, dtype=np.float)) + >>> np.bincount(np.arange(5, dtype=float)) Traceback (most recent call last): File "<stdin>", line 1, in <module> TypeError: array cannot be safely cast to required type @@ -6099,7 +6099,7 @@ add_newdoc('numpy.core.multiarray', 'dtype', Using tuples. ``int`` is a fixed type, 3 the field's shape. ``void`` is a flexible type, here of size 10: - >>> np.dtype([('hello',(np.int,3)),('world',np.void,10)]) + >>> np.dtype([('hello',(int,3)),('world',np.void,10)]) dtype([('hello', '<i4', 3), ('world', '|V10')]) Subdivide ``int16`` into 2 ``int8``'s, called x and y. 0 and 1 are |