在 matplotlib 直方图函数中获取 bin 的信息 [英] Getting information for bins in matplotlib histogram function

问题描述

我正在使用 matplotlib 在 python 中绘制直方图:

I am plotting a histogram in python using matplotlib by:

plt.hist(nparray, bins=10, label='hist')

是否可以打印一个包含所有 bin 信息的数据帧，例如每个 bin 中的元素数量?

Is it possible to print a dataframe that has the information for all the bins, like number of elements in every bin?

推荐答案

plt.hist 是:

返回值:元组:(n个，bins，patch)或([[n0，n1 ... ...]，bins，[patches0，patch1，...])

Returns: tuple : (n, bins, patches) or ([n0, n1, ...], bins, [patches0, patches1,...])

所以您需要做的就是适当地捕获返回值.例如:

So all you need to do is capture the return values appropriately. For example:

import numpy as np
import matplotlib.pyplot as plt

# generate some uniformly distributed data
x = np.random.rand(1000)

# create the histogram
(n, bins, patches) = plt.hist(x, bins=10, label='hst')

plt.show()

# inspect the counts in each bin
In [4]: print n
[102  87 102  83 106 100 104 110 102 104]

# and we see that the bins are approximately uniformly filled.
# create a second histogram with more bins (but same input data)
(n2, bins2, patches) = plt.hist(x, bins=20, label='hst')

In [34]: print n2
[54 48 39 48 51 51 37 46 49 57 50 50 52 52 59 51 58 44 58 46]

# bins are uniformly filled but obviously with fewer in each bin.

返回的 bins 定义了所使用的每个bin的边缘.

The bins that is returned defines the edges of each bin that was used.

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