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在Python中,接收連續(xù)的數可以通過多種方式實現,以下是一些常見的方法:

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1、使用input()函數接收用戶輸入
input()函數是Python中用于接收用戶輸入的內置函數,當用戶輸入一串數字時,input()函數會將其作為字符串返回,為了將字符串轉換為數字,我們需要使用int()或float()函數。
示例代碼:
接收整數輸入
num = int(input("請輸入一個整數:"))
print("你輸入的整數是:", num)
接收浮點數輸入
num = float(input("請輸入一個浮點數:"))
print("你輸入的浮點數是:", num)
2、使用循環(huán)結構接收多個數
我們需要接收多個連續(xù)的數,這時,可以使用for循環(huán)結構來實現,我們可以讓用戶輸入一個數字n,然后使用for循環(huán)接收n個連續(xù)的數。
示例代碼:
接收n個整數輸入
n = int(input("請輸入一個整數n:"))
print("請輸入{}個整數:".format(n))
nums = []
for i in range(n):
num = int(input())
nums.append(num)
print("你輸入的整數是:", nums)
接收n個浮點數輸入
n = int(input("請輸入一個整數n:"))
print("請輸入{}個浮點數:".format(n))
nums = []
for i in range(n):
num = float(input())
nums.append(num)
print("你輸入的浮點數是:", nums)
3、使用列表推導式接收多個數
列表推導式是Python中一種簡潔的創(chuàng)建列表的方法,我們可以使用列表推導式來接收多個連續(xù)的數,我們可以讓用戶輸入一個數字n,然后使用列表推導式接收n個連續(xù)的數。
示例代碼:
接收n個整數輸入
n = int(input("請輸入一個整數n:"))
print("請輸入{}個整數:".format(n))
nums = [int(input()) for i in range(n)]
print("你輸入的整數是:", nums)
接收n個浮點數輸入
n = int(input("請輸入一個整數n:"))
print("請輸入{}個浮點數:".format(n))
nums = [float(input()) for i in range(n)]
print("你輸入的浮點數是:", nums)
4、使用生成器表達式接收多個數
生成器表達式是一種更簡潔的創(chuàng)建生成器的方法,我們可以使用生成器表達式來接收多個連續(xù)的數,我們可以讓用戶輸入一個數字n,然后使用生成器表達式接收n個連續(xù)的數。
示例代碼:
接收n個整數輸入
n = int(input("請輸入一個整數n:"))
print("請輸入{}個整數:".format(n))
nums = (int(input()) for i in range(n))
print("你輸入的整數是:", list(nums))
接收n個浮點數輸入
n = int(input("請輸入一個整數n:"))
print("請輸入{}個浮點數:".format(n))
nums = (float(input()) for i in range(n))
print("你輸入的浮點數是:", list(nums))
5、使用map()函數接收多個數
map()函數是Python中用于將一個函數應用到一個可迭代對象的所有元素上的內置函數,我們可以使用map()函數來接收多個連續(xù)的數,我們可以讓用戶輸入一個數字n,然后使用map()函數接收n個連續(xù)的數。
示例代碼:
接收n個整數輸入并計算平方和立方和(假設我們有一個名為square_sum和cube_sum的函數) 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
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