python如何接收连续的数

在Python中，接收连续的数可以通过多种方式实现，以下是一些常见的方法：

涿鹿网站建设公司创新互联建站,涿鹿网站设计制作，有大型网站制作公司丰富经验。已为涿鹿上1000+提供企业网站建设服务。企业网站搭建\外贸网站制作要多少钱，请找那个售后服务好的涿鹿做网站的公司定做！

1、使用input()函数接收用户输入

input()函数是Python中用于接收用户输入的内置函数，当用户输入一串数字时，input()函数会将其作为字符串返回，为了将字符串转换为数字，我们需要使用int()或float()函数。

示例代码：

接收整数输入
num = int(input("请输入一个整数："))
print("你输入的整数是：", num)
接收浮点数输入
num = float(input("请输入一个浮点数："))
print("你输入的浮点数是：", num)

2、使用循环结构接收多个数

我们需要接收多个连续的数，这时，可以使用for循环结构来实现，我们可以让用户输入一个数字n，然后使用for循环接收n个连续的数。

示例代码：

接收n个整数输入
n = int(input("请输入一个整数n："))
print("请输入{}个整数：".format(n))
nums = []
for i in range(n):
    num = int(input())
    nums.append(num)
print("你输入的整数是：", nums)
接收n个浮点数输入
n = int(input("请输入一个整数n："))
print("请输入{}个浮点数：".format(n))
nums = []
for i in range(n):
    num = float(input())
    nums.append(num)
print("你输入的浮点数是：", nums)

3、使用列表推导式接收多个数

列表推导式是Python中一种简洁的创建列表的方法，我们可以使用列表推导式来接收多个连续的数，我们可以让用户输入一个数字n，然后使用列表推导式接收n个连续的数。

示例代码：

接收n个整数输入
n = int(input("请输入一个整数n："))
print("请输入{}个整数：".format(n))
nums = [int(input()) for i in range(n)]
print("你输入的整数是：", nums)
接收n个浮点数输入
n = int(input("请输入一个整数n："))
print("请输入{}个浮点数：".format(n))
nums = [float(input()) for i in range(n)]
print("你输入的浮点数是：", nums)

4、使用生成器表达式接收多个数

生成器表达式是一种更简洁的创建生成器的方法，我们可以使用生成器表达式来接收多个连续的数，我们可以让用户输入一个数字n，然后使用生成器表达式接收n个连续的数。

示例代码：

接收n个整数输入
n = int(input("请输入一个整数n："))
print("请输入{}个整数：".format(n))
nums = (int(input()) for i in range(n))
print("你输入的整数是：", list(nums))
接收n个浮点数输入
n = int(input("请输入一个整数n："))
print("请输入{}个浮点数：".format(n))
nums = (float(input()) for i in range(n))
print("你输入的浮点数是：", list(nums))

5、使用map()函数接收多个数

map()函数是Python中用于将一个函数应用到一个可迭代对象的所有元素上的内置函数，我们可以使用map()函数来接收多个连续的数，我们可以让用户输入一个数字n，然后使用map()函数接收n个连续的数。

示例代码：

接收n个整数输入并计算平方和立方和（假设我们有一个名为square_sum和cube_sum的函数）
from functools import reduce, partial, map, wraps, cmp_to_key, count, filterfalse, takewhile, dropwhile, accumulate, compose, chain, groupby, zip_longest, lzip, repeat, starmap, itertools as itt, operator as op, getattr, hasattr, itemgetter as ig, reversed as rev, sorted as so, min as mi, max as ma, sum as su, any as ay, all as al, key as kc, dict as dct, list as lt, set as st, tuple as tpl, defaultdict as dcd, namedtuple as ntp, deque as dqe, heapq as hqe, bisect as bse, statistics as stas, math as mth, time as tim, datetime as dtm, re as rea, copy as cpy, pickle as pkl, gzip as gzp, marshal as marshal, os as oslib, sys as syslib, types as typeslib, warnings as warns, traceback as trcbk, builtins as btins, inspect as inspct, io as iolib, pwd as pwdlib, grp as grplib, select as selectlib, termios as termioslib, tty as ttylib, codecs as codecslib, signal as signalslib, threading as thrdlib, queue as qlib, urllib.parse as urlparselib, urllib.request as urlreqlib, urllib.error as urlerrlib, random as rndmlib from functools import reduce, partial from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from itertools import chain from collections import defaultdict from functools import reduce from operator import add from iterops

当前标题：python如何接收连续的数
分享地址：http://www.mswzjz.cn/qtweb/news12/29062.html

攀枝花网站建设、攀枝花网站运维推广公司-贝锐智能，是专注品牌与效果的网络营销公司；服务项目有等

广告

声明：本网站发布的内容（图片、视频和文字）以用户投稿、用户转载内容为主，如果涉及侵权请尽快告知，我们将会在第一时间删除。文章观点不代表本网站立场，如需处理请联系客服。电话：028-86922220；邮箱：631063699@qq.com。内容未经允许不得转载，或转载时需注明来源： 贝锐智能