Python 类型错误：只有一个元素的整数数组可以转换为索引 3
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TypeError: only integer arrays with one element can be converted to an index 3
提问by GeoffreyB
I'm having this error in the title, and don't know what's wrong. It's working when I use np.hstack instead of np.append, but I would like to make this faster, so use append.
我在标题中有这个错误，不知道出了什么问题。当我使用 np.hstack 而不是 np.append 时它正在工作，但我想让它更快，所以使用附加。
time_list a list of floats
heights is a 1d np.array of floats
time_list 浮点数列表
高度是浮点数的一维 np.array
j = 0
n = 30
time_interval = 1200
axe_x = []
while j < np.size(time_list,0)-time_interval:
if (not np.isnan(heights[j])) and (not np.isnan(heights[j+time_interval])):
axe_x.append(time_list[np.arange(j+n,j+(time_interval-n))])
File "....", line .., in <module>
axe_x.append(time_list[np.arange(j+n,j+(time_interval-n))])
TypeError: only integer arrays with one element can be converted to an index
采纳答案by Anand S Kumar
The issue is just as the error indicates, time_listis a normal python list, and hence you cannot index it using another list (unless the other list is an array with single element). Example -
问题正如错误所指示的那样，time_list是一个普通的 python 列表，因此您不能使用另一个列表对其进行索引（除非另一个列表是一个具有单个元素的数组）。例子 -
In [136]: time_list = [1,2,3,4,5,6,7,8,9,10,11,12,13,14]
In [137]: time_list[np.arange(5,6)]
Out[137]: 6
In [138]: time_list[np.arange(5,7)]
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-138-ea5b650a8877> in <module>()
----> 1 time_list[np.arange(5,7)]
TypeError: only integer arrays with one element can be converted to an index
If you want to do that kind of indexing, you would need to make time_lista numpy.array. Example -
如果你想做那种索引，你需要做time_list一个numpy.array. 例子 -
In [141]: time_list = np.array(time_list)
In [142]: time_list[np.arange(5,6)]
Out[142]: array([6])
In [143]: time_list[np.arange(5,7)]
Out[143]: array([6, 7])
Another thing to note would be that in your whileloop, you never increase j, so it may end-up with infinite loop , you should also increase jby some amount (maybe time_interval?).
另一件需要注意的事情是，在你的while循环中，你永远不会增加j，所以它可能以无限循环结束，你也应该增加j一些（也许time_interval？）。
But according to the requirement you posted in comments -
但是根据您在评论中发布的要求-
axe_x should be a 1d array of floats generated from the time_list list
axe_x 应该是从 time_list 列表生成的一维浮点数组
You should use .extend()instead of .append(), .appendwould create a list of arrays for you. But if you need a 1D array, you need to use .extend(). Example -
您应该使用.extend()而不是.append(),.append将为您创建一个数组列表。但是如果你需要一个一维数组，你需要使用.extend(). 例子 -
time_list = np.array(time_list)
while j < np.size(time_list,0)-time_interval:
if (not np.isnan(heights[j])) and (not np.isnan(heights[j+time_interval])):
axe_x.extend(time_list[np.arange(j+n,j+(time_interval-n))])
j += time_interval #Or what you want to increase it by.
