num1 = list(range(1,39526)) #产生1-39525的数
num2 = random.shuffle(num1)
num3 = num2[0:30000] #取前30000个行号的元素
num4 = num2[30000:39524] #取到后面9525个元素

 File "E:/pythonProj/test2/readDatasetCSVfile.py", line 122, in <module>
 num3 = num2[0:30000] #取前30000个行号的元素
 TypeError: 'NoneType' object is not subscriptable

num1 = list(range(1,39526)) #产生1-39525的数
random.shuffle(num1) #注意shuffle没有返回值，该函数完成一种功能，就是对list进行排序打乱
num3 = num1[0:30000] #取前30000个行号的元素
num4 = num1[30000:39524] #取到后面9525个元素

import random

list = [20, 16, 10, 5];
random.shuffle(list) # 参数只能是列表，元组、字典、字符串会报错
print("随机排序列表 : ", list)
random.shuffle(list)
print("随机排序列表 : ", list)

import numpy as np
new_arr = np.random.permutation(10)
print(new_arr)
new_arr1 = np.random.permutation([1, 4, 9, 12, 15]) # 参数为列表
print(new_arr1)
arr = np.arange(9).reshape((3, 3))
new_arr2 = np.random.permutation(arr)
print(new_arr2)
new_arr3 = np.random.permutation([{"a": 1, "b": 2}, [{"e": 5}, {"c": 3}, {"d": 4}], [{"f": 6}, {"g": 8}]])# 子数组中的排列顺序不变
print(new_arr3)
new_arr4 = np.random.permutation((1, 4, 9, 12, 15)) #可以传元组参数
print(new_arr4)
import numpy as np
new_arr = np.random.permutation(10)
print(new_arr)
new_arr1 = np.random.permutation([1, 4, 9, 12, 15])
print(new_arr1)
arr = np.arange(9).reshape((3, 3))
new_arr2 = np.random.permutation(arr)
print(new_arr2)
new_arr3 = np.random.permutation([{"a": 1, "b": 2}, [{"e": 5}, {"c": 3}, {"d": 4}], [{"f": 6}, {"g": 8}]]) # 子数组中的排列顺序不变
print(new_arr3)