Python Matplotlib，从三个不等长的数组创建堆叠直方图
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Matplotlib, creating stacked histogram from three unequal length arrays
提问by ncRubert
I'd like to create a stacked histogram. If I have a single 2-D array, made of three equal length data sets, this is simple. Code and image below:
我想创建一个堆叠的直方图。如果我有一个由三个等长数据集组成的二维数组，这很简单。代码和图片如下：
import numpy as np
from matplotlib import pyplot as plt
# create 3 data sets with 1,000 samples
mu, sigma = 200, 25
x = mu + sigma*np.random.randn(1000,3)
#Stack the data
plt.figure()
n, bins, patches = plt.hist(x, 30, stacked=True, normed = True)
plt.show()
However, if I try similar code with three data sets of a different length the results are that one histogram covers up another. Is there any way I can do the stacked histogram with mixed length data sets?
但是，如果我使用三个不同长度的数据集尝试类似的代码，结果是一个直方图覆盖了另一个。有什么办法可以用混合长度的数据集做堆叠直方图吗？
##Continued from above
###Now as three separate arrays
x1 = mu + sigma*np.random.randn(990,1)
x2 = mu + sigma*np.random.randn(980,1)
x3 = mu + sigma*np.random.randn(1000,1)
#Stack the data
plt.figure()
plt.hist(x1, bins, stacked=True, normed = True)
plt.hist(x2, bins, stacked=True, normed = True)
plt.hist(x3, bins, stacked=True, normed = True)
plt.show()
采纳答案by ncRubert
Well, this is simple. I just need to put the three arrays in a list.
嗯，这很简单。我只需要将三个数组放在一个列表中。
##Continued from above
###Now as three separate arrays
x1 = mu + sigma*np.random.randn(990,1)
x2 = mu + sigma*np.random.randn(980,1)
x3 = mu + sigma*np.random.randn(1000,1)
#Stack the data
plt.figure()
plt.hist([x1,x2,x3], bins, stacked=True, density=True)
plt.show()
