我想知道我如何可以初始化一个数组(或列表),尚未与值填充,有一个定义的大小。
例如在C语言中:
int x[5]; /* declared without adding elements*/
在Python中如何做到这一点?
我想知道我如何可以初始化一个数组(或列表),尚未与值填充,有一个定义的大小。
例如在C语言中:
int x[5]; /* declared without adding elements*/
在Python中如何做到这一点?
当前回答
>>> n = 5 #length of list
>>> list = [None] * n #populate list, length n with n entries "None"
>>> print(list)
[None, None, None, None, None]
>>> list.append(1) #append 1 to right side of list
>>> list = list[-n:] #redefine list as the last n elements of list
>>> print(list)
[None, None, None, None, 1]
>>> list.append(1) #append 1 to right side of list
>>> list = list[-n:] #redefine list as the last n elements of list
>>> print(list)
[None, None, None, 1, 1]
>>> list.append(1) #append 1 to right side of list
>>> list = list[-n:] #redefine list as the last n elements of list
>>> print(list)
[None, None, 1, 1, 1]
或者一开始就什么都没有:
>>> n = 5 #length of list
>>> list = [] # create list
>>> print(list)
[]
>>> list.append(1) #append 1 to right side of list
>>> list = list[-n:] #redefine list as the last n elements of list
>>> print(list)
[1]
在append的第4次迭代中:
>>> list.append(1) #append 1 to right side of list
>>> list = list[-n:] #redefine list as the last n elements of list
>>> print(list)
[1,1,1,1]
5及所有后续:
>>> list.append(1) #append 1 to right side of list
>>> list = list[-n:] #redefine list as the last n elements of list
>>> print(list)
[1,1,1,1,1]
其他回答
我发现很容易做的一件事是我设置一个数组 例如,我喜欢的大小的空字符串
代码:
import numpy as np
x= np.zeros(5,str)
print x
输出:
['' '' '' '' '']
希望这对你有帮助:)
这样做:
>>> d = [ [ None for y in range( 2 ) ] for x in range( 2 ) ]
>>> d
[[None, None], [None, None]]
>>> d[0][0] = 1
>>> d
[[1, None], [None, None]]
其他的解决方案会导致这样的问题:
>>> d = [ [ None ] * 2 ] * 2
>>> d
[[None, None], [None, None]]
>>> d[0][0] = 1
>>> d
[[1, None], [1, None]]
一个简单的解决方案是x = [None]*length,但请注意,它将所有列表元素初始化为None。如果大小是固定的,你也可以执行x=[None,None,None,None]。但严格来说,无论采用哪种方式,都不会得到未定义的元素,因为Python中不存在这种麻烦。
你可以使用:
>>> lst = [None] * 5
>>> lst
[None, None, None, None, None]
最好的办法是使用numpy库。
from numpy import ndarray
a = ndarray((5,),int)