My histogram is having a
Regular and a
strCategory axis and I want to show the cumulative sum of the categories, but with the different components stacked on top of each other.
I found out I can just use
np.cumsum(axis=<category axis>) to calculate the cumulative sum and create a new histogram from that. In had also managed to draw a stacked histogram by plotting multiple
plt.bar with different
bottom=... arguments taken from the cumulative sums. But I dislike that visualy, because I want to have a black outline for my components, but no outlines for the individual bins, as seen in the screenshot.
Hi, I used to be able to modify histogram contents like this
import boost_histogram as bh import numpy as np bins = [0, 1, 2] hist = bh.Histogram(bh.axis.Variable(bins), storage=bh.storage.Weight()) yields = [3, 4] var = [0.1, 0.2] hist[...] = np.stack([yields, var], axis=-1) hist.view().value /= 2
That worked until
0.11.1. In the current master it does not anymore, I think scikit-hep/boost-histogram#475 changes the behavior:
Traceback (most recent call last): File "test.py", line 10, in <module> hist.view().value /= 2 File "[...]/boost_histogram/_internal/view.py", line 57, in fset self[name] = value File "[...]/boost_histogram/_internal/view.py", line 49, in __setitem__ raise ValueError("Needs matching ndarray or n+1 dim array") ValueError: Needs matching ndarray or n+1 dim array
Is there another way to achieve this now?
hist.view() /= 2.
python-3.8package, you still get pip 9 even on Python 3.8!!! (which is totally unsupported). I hate distro packaging sometimes…
boost-histogram 1.0! I'm adopting the new API for subclassing, and saw in https://boost-histogram.readthedocs.io/en/latest/usage/subclassing.html that
family=object() is recommended when only overriding
Histogram. What is the difference between
object? While trying to understand this, I noticed that
object is object is
object() is object() (are those instances?) is
False. Is the latter part an issue given the following?
It just has to support is, and be the exact same object on all your subclasses.
objectis a class; classes are singletons, there’s just one.
object()is an instance, and you can make as many as you want, each will live in a different place in memory, check with
family=can be anything that supports is which is literally everything, with the exception of the Module
boost_histogram(as that’s already taken by boost-histogram). The Module
histwould be a bad choice too, as then your axes would come out randomly Hist's or your own. The old way works fine,
FAMILY = object()at the top of the file, then use
family=FAMILYwhen you subclass. But for most users, a handy existing object is the module you are in, that is, “hist” or “boost_histogram”. It’s unique to you, and is descriptive. You can use
family=None(or the object class, anything works), you just don’t want some other extension to also use the same one - then boost-histogram won’t be able to distinguish between them when picking Axis, Storage, etc. If all you use is Histogram, though, then it really doesn’t matter.
object()is to make a truly unique object. For example, if I make
NOTHING=object(), then use
def f(x =NOTHING): if x is NOTHING, I can now always tell if someone passed a keyword argument in. They can’t make NOTHING, they have to pull NOTHING out of my source and using it from there, you can’t “remake” it accidentaly.