有用的20个python代码段(5)

from iteration_utilities import deepflatten

# if you only have one depth nested_list, use this

def flatten(l):

  return [item for sublist in l for item in sublist]

l = [[1,2,3],[3]]

print(flatten(l))

# [1, 2, 3, 3]

# if you don't know how deep the list is nested

l = [[1,2,3],[4,[5],[6,7]],[8,[9,[10]]]]

print(list(deepflatten(l, depth=3)))

# [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]

import random

my_list = ['a', 'b', 'c', 'd', 'e']

num_samples = 2

samples = random.sample(my_list,num_samples)

print(samples)

# [ 'a', 'e'] this will have any 2 random values

import secrets                              # imports secure module.

secure_random = secrets.SystemRandom()      # creates a secure random object.

my_list = ['a','b','c','d','e']

num_samples = 2

samples = secure_random.sample(my_list, num_samples)

print(samples)

# [ 'e', 'd'] this will have any 2 random values

num = 123456

# using map

list_of_digits = list(map(int, str(num)))

print(list_of_digits)

# [1, 2, 3, 4, 5, 6]

# using list comprehension

list_of_digits = [int(x) for x in str(num)]

print(list_of_digits)

# [1, 2, 3, 4, 5, 6]

def unique(l):

    if len(l)==len(set(l)):

        print("All elements are unique")

    else:

        print("List has duplicates")

unique([1,2,3,4])

# All elements are unique

unique([1,1,2,3])

# List has duplicates