如何从现有的 bin 值中绘制直方图
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【中文标题】如何从现有的 bin 值中绘制直方图【英文标题】：How to draw a histogram from existing bin values 【发布时间】：2019-02-22 00:47:26 【问题描述】：我发现的所有使用matplotlib 绘制直方图的示例都展示了如何使用hist 函数绘制unbinned 数据的直方图。如何从 binned 数据开始绘制直方图。
具体来说，这是完整的问题。
我有一个像这样的json 文件
"axes": [ "nbins": 50, "range": [ 0.0, 1.0 ] ],
"bins": [
[ [ 0.03912266159779804, 2.4253202838786034e-07 ], 5532865 ],
[ [ 0.03916990070252777, 4.895032330300466e-07 ], 5431456 ],
[ [ 0.03898489463963174, 4.205432148046357e-07 ], 5321885 ],
[ [ 0.037217159462905665, 2.796781402951966e-07 ], 5215454 ],
[ [ 0.037591952220843425, 3.7157817818538036e-07 ], 5152861 ],
[ [ 0.03640064749941381, 3.429133584283686e-07 ], 5116330 ],
[ [ 0.03545469456846452, 6.236972626535147e-07 ], 5078941 ],
[ [ 0.03567967996123658, 5.850877600595089e-07 ], 5038978 ],
[ [ 0.03664350544390463, 2.6838483775984445e-07 ], 5009234 ],
[ [ 0.03543507077587162, 3.319294632414073e-07 ], 4974721 ],
[ [ 0.03537148076591839, 4.0269995315009494e-07 ], 4931893 ],
[ [ 0.03478870277954808, 3.1711886205012627e-07 ], 4891786 ],
[ [ 0.033864757004235656, 2.6868299634358844e-07 ], 4851690 ],
[ [ 0.03428355267988012, 5.341109499844148e-07 ], 4801015 ],
[ [ 0.03403395347207946, 2.5288200846762164e-07 ], 4760079 ],
[ [ 0.033613239317709286, 2.1708231648080382e-07 ], 4704358 ],
[ [ 0.03277840091277388, 2.0527513043163183e-07 ], 4652398 ],
[ [ 0.03160892627026973, 2.183991948510151e-07 ], 4605129 ],
[ [ 0.031538833244624406, 2.444679281977994e-07 ], 4543887 ],
[ [ 0.03190446224434107, 2.429910009839857e-07 ], 4496607 ],
[ [ 0.03241097134419747, 4.7225070321727006e-07 ], 4463153 ],
[ [ 0.030148277612016283, 4.1542625940340425e-07 ], 4441211 ],
[ [ 0.031175420934497718, 1.9104643541211688e-07 ], 4409245 ],
[ [ 0.029838668257704842, 1.8894682212226968e-07 ], 4361187 ],
[ [ 0.030212171384252064, 1.8894789156090747e-07 ], 4298157 ],
[ [ 0.029523088683353363, 5.720761674504702e-07 ], 4222940 ],
[ [ 0.027569612339860272, 3.4163680780786545e-07 ], 4137497 ],
[ [ 0.02705999608770834, 1.7675692784960427e-07 ], 4043101 ],
[ [ 0.027092508630256265, 3.059147357589793e-07 ], 3936603 ],
[ [ 0.025520005653155698, 2.9155690929880814e-07 ], 3821513 ],
[ [ 0.025075543788955813, 1.2962491061369452e-07 ], 3686948 ],
[ [ 0.023501885386189723, 1.633089763898124e-07 ], 3558060 ],
[ [ 0.02319278863781888, 1.4717090690523133e-07 ], 3397555 ],
[ [ 0.02246957607921931, 2.6205756706209384e-07 ], 3227434 ],
[ [ 0.02177163302477613, 9.805940747435215e-08 ], 3042162 ],
[ [ 0.021447684447593745, 8.130626024719122e-08 ], 2852311 ],
[ [ 0.020180402151551657, 8.46456889191387e-08 ], 2688089 ],
[ [ 0.018484791515543934, 5.325662194453329e-08 ], 2519457 ],
[ [ 0.016700717096649637, 6.050765025320019e-08 ], 2345115 ],
[ [ 0.015929322854177978, 5.0953284820774626e-08 ], 2151772 ],
[ [ 0.014118937342224115, 4.06366038569279e-08 ], 1935428 ],
[ [ 0.013577901278784827, 2.7159002804458046e-08 ], 1738468 ],
[ [ 0.01301532640962796, 2.1745148207135212e-08 ], 1576686 ],
[ [ 0.012150411926165821, 1.7015278009418007e-08 ], 1484663 ],
[ [ 0.011791276170920642, 1.9663332742339892e-08 ], 1427183 ],
[ [ 0.011356843311177617, 2.3150396622524826e-08 ], 1400035 ],
[ [ 0.011742382443851514, 1.8228381946768994e-08 ], 1393307 ],
[ [ 0.0117014991872856, 1.5232934897253802e-08 ], 1414013 ],
[ [ 0.0119729712509594, 1.8410870864962435e-08 ], 1461896 ],
[ [ 0.012871377959299282, 1.33946434676272e-08 ], 1540758 ]
]
"bins" 数组的元素布局如下：
[ [ bin value, uncertainty squared ], number of events ]
事件的数量不用于绘制。
我想要的图形表示类似于：
【问题讨论】：
【参考方案1】：由于您已经有分箱数据，只需使用 pyplot.errorbar 或将 yerr kwarg 添加到条形图
from matplotlib import pyplot as plt
plt.errorbar(
[n/len(bins) for n, x in enumerate(bins)],
[x[0][0] for x in bins],
yerr = [x[0][1]**0.5 for x in bins],
marker='_', fmt='.')
plt.bar(
[n/len(bins) for n, x in enumerate(bins)],
[x[0][0] for x in bins],
yerr = [x[0][1]**0.5 for x in bins],
width=1/80)
【讨论】：
嗯，这是一个进步，但它并没有显示出不确定性。 更新了答案。这是你想要达到的目标吗？以上是关于如何从现有的 bin 值中绘制直方图的主要内容，如果未能解决你的问题，请参考以下文章