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我有很多numpy (1d) histograms。他们每个人都是这样创建的:

bin_height, bin_edges = np.histogram(data)

将它们变成提升直方图的最佳方法是什么?

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1 回答 1

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Hans Dembinski向我建议了这个解决方案:

import boost_histogram as bh
import numpy as np
import matplotlib.pyplot as plt

# generate some randome data
rng = np.random.RandomState(10)
data = rng.normal(size=1000)

#create numpy histogram
bin_height, bin_edges = np.histogram(data)

#turn it into a boost-histogram
bhist = bh.Histogram(bh.axis.Variable(bin_edges))
bhist.view()[:] = bin_height

#plot it
plt.bar(bhist.axes[0].centers, bhist.view(), width=bhist.axes[0].widths);
于 2020-03-13T14:43:46.900 回答