Это решение было предложено мне Гансом Дембинским :
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);