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authorJohn Kirkham <kirkhamj@janelia.hhmi.org>2016-01-22 17:35:42 -0500
committerJohn Kirkham <kirkhamj@janelia.hhmi.org>2016-01-22 18:15:44 -0500
commit75d5b59bca181ee7e5ba872999014006c4b6c3f3 (patch)
treea63f92ebed409e2ad084642d1ad1f1fba9441a79
parent43c6a89128347928c5fe26f67ba2a0a022f00822 (diff)
downloadnumpy-75d5b59bca181ee7e5ba872999014006c4b6c3f3.tar.gz
DOC: Update `norm` docstring to include examples that reflect that all computations are done with floating point numbers.
-rw-r--r--numpy/linalg/linalg.py16
1 files changed, 8 insertions, 8 deletions
diff --git a/numpy/linalg/linalg.py b/numpy/linalg/linalg.py
index f333bde47..9d486d2a5 100644
--- a/numpy/linalg/linalg.py
+++ b/numpy/linalg/linalg.py
@@ -2060,22 +2060,22 @@ def norm(x, ord=None, axis=None, keepdims=False):
>>> LA.norm(b, 'fro')
7.745966692414834
>>> LA.norm(a, np.inf)
- 4
+ 4.0
>>> LA.norm(b, np.inf)
- 9
+ 9.0
>>> LA.norm(a, -np.inf)
- 0
+ 0.0
>>> LA.norm(b, -np.inf)
- 2
+ 2.0
>>> LA.norm(a, 1)
- 20
+ 20.0
>>> LA.norm(b, 1)
- 7
+ 7.0
>>> LA.norm(a, -1)
-4.6566128774142013e-010
>>> LA.norm(b, -1)
- 6
+ 6.0
>>> LA.norm(a, 2)
7.745966692414834
>>> LA.norm(b, 2)
@@ -2099,7 +2099,7 @@ def norm(x, ord=None, axis=None, keepdims=False):
>>> LA.norm(c, axis=1)
array([ 3.74165739, 4.24264069])
>>> LA.norm(c, ord=1, axis=1)
- array([6, 6])
+ array([ 6., 6.])
Using the `axis` argument to compute matrix norms: