我是编程和Python的新手，所以请原谅这是一个愚蠢的错误。
我正在尝试运行一个脚本，我想根据对数正态分布生成样本数据，然后绘制该数据的直方图。
我一直收到错误
这是我的代码：
import numpy as np
import matplotlib.pyplot as plt
a = 0.75 + (1.25 - 0.75)*np.random.lognormal(10000)
[n,bins,patches] = plt.hist(a, bins=50, color = 'red',alpha = 0.5, normed = True)
plt.show()
错误：
Traceback (most recent call last):
File "H:\UQ&M\GUI Demos\WIP\Tester.py", line 10, in <module>
[n,bins,patches] = plt.hist(a, bins=50, color = 'red',alpha = 0.5, normed = True)
File "C:\Program Files (x86)\python27\lib\site-packages\matplotlib\pyplot.py", line 2341, in hist
ret = ax.hist(x, bins, range, normed, weights, cumulative, bottom, histtype, align, orientation, rwidth, log, color, label, **kwargs)
File "C:\Program Files (x86)\python27\lib\site-packages\matplotlib\axes.py", line 7650, in hist
if isinstance(x, np.ndarray) or not iterable(x[0]):
TypeError: 'float' object has no attribute '__getitem__'
我在这里已经阅读了类似的查询，但我似乎无法找到解决方案。
您的专家建议将受到高度赞赏。
提前感谢您花费宝贵的时间来研究这个问题。
答案 0 :(得分：0)
来自matplotlib API
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应该是一个数组或序列，如果我在你的代码中，它是一个数字而不是一个数组