With the most recent change in numpy 1.1 it seems that numpy.histogram
was broken when wanting a normalized histogram. I thought the idea
was to leave the functionality of histogram as it was in 1.1 and then
break
the api in 1.2?
import numpy
a = [0,1,2,3,4,5,6,7,8]
numpy.histogram(a)
/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-
packages/numpy/lib/function_base.py:166: FutureWarning:
The semantics of histogram will be modified in
release 1.2 to improve outlier handling. The new behavior can
be
obtained using new=True. Note that the new version accepts/
returns
the bin edges instead of the left bin edges.
Please read the docstring for more information.
Please read the docstring for more information.""", FutureWarning)
(array([1, 1, 1, 1, 0, 1, 1, 1, 1, 1]), array([ 0. , 0.8, 1.6,
2.4, 3.2, 4. , 4.8, 5.6, 6.4, 7.2]))
data, bins = numpy.histogram(a)
len(data)
10
len(bins)
10
b = [1,3,5,6,9]
data, bins = numpy.histogram(a,b)
/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-
packages/numpy/lib/function_base.py:193: FutureWarning:
The semantic for bins will change in version 1.2.
The bins will become the bin edges, instead of the left
bin edges.
""", FutureWarning)
data
array([2, 2, 1, 3, 0])
bins
array([1, 3, 5, 6, 9])
data, bins = numpy.histogram(a,b,normed=True)
Traceback (most recent call last):
File "<console>", line 0, in <module>
File "/Library/Frameworks/Python.framework/Versions/2.5/lib/
python2.5/site-packages/numpy/lib/function_base.py", line 189, in
histogram
raise ValueError, 'Use new=True to pass bin edges explicitly.'
ValueError: Use new=True to pass bin edges explicitly.
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