问题描述
当我尝试将字符串分配给这样的数组时:
When I try to assign a string to an array like this:
CoverageACol[0,0] = "Hello"
我收到以下错误
Traceback (most recent call last):
File "<pyshell#19>", line 1, in <module>
CoverageACol[0,0] = "hello"
ValueError: setting an array element with a sequence.
但是,分配整数不会导致错误:
However, assigning an integer does not result in an error:
CoverageACol[0,0] = 42
CoverageACol是一个numpy数组.
CoverageACol is a numpy array.
请帮助!谢谢!
推荐答案
由于NumPy的数组为均一,表示它是所有相同类型元素的多维表.这与常规" Python中的多维列表列表不同,在多维列表中,列表中可以包含不同类型的对象.
You get the error because NumPy's array is homogeneous, meaning it is a multidimensional table of elements all of the same type. This is different from a multidimensional list-of-lists in "regular" Python, where you can have objects of different type in a list.
常规Python:
>>> CoverageACol = [[0, 1, 2, 3, 4],
[5, 6, 7, 8, 9]]
>>> CoverageACol[0][0] = "hello"
>>> CoverageACol
[['hello', 1, 2, 3, 4],
[5, 6, 7, 8, 9]]
NumPy:
>>> from numpy import *
>>> CoverageACol = arange(10).reshape(2,5)
>>> CoverageACol
array([[0, 1, 2, 3, 4],
[5, 6, 7, 8, 9]])
>>> CoverageACol[0,0] = "Hello"
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
/home/biogeek/<ipython console> in <module>()
ValueError: setting an array element with a sequence.
因此,这取决于您要实现的目标,为什么要将字符串存储在用数字填充的其余数组中?如果这确实是您想要的,则可以将NumPy数组的数据类型设置为字符串:
So, it depends on what you want to achieve, why do you want to store a string in an array filled for the rest with numbers? If that really is what you want, you can set the datatype of the NumPy array to string:
>>> CoverageACol = array(range(10), dtype=str).reshape(2,5)
>>> CoverageACol
array([['0', '1', '2', '3', '4'],
['5', '6', '7', '8', '9']],
dtype='|S1')
>>> CoverageACol[0,0] = "Hello"
>>> CoverageACol
array([['H', '1', '2', '3', '4'],
['5', '6', '7', '8', '9']],
dtype='|S1')
请注意,仅分配了Hello
的第一个字母.如果您希望分配整个单词,则需要设置数组-协议类型字符串:
Notice that only the first letter of Hello
gets assigned. If you want the whole word to get assigned, you need to set an array-protocol type string:
>>> CoverageACol = array(range(10), dtype='a5').reshape(2,5)
>>> CoverageACol:
array([['0', '1', '2', '3', '4'],
['5', '6', '7', '8', '9']],
dtype='|S5')
>>> CoverageACol[0,0] = "Hello"
>>> CoverageACol
array([['Hello', '1', '2', '3', '4'],
['5', '6', '7', '8', '9']],
dtype='|S5')
这篇关于如何在numpy中将字符串值分配给数组?的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!