1numbers = list(range(1,11))2print(numbers)3print(min(numbers)) #获得列表最小值4print(max(numbers)) #获得列表最大值5print(sum(numbers)) #获得列表的和值 1运行结果应该是:21310455
总和sum() ### 案例 ###dlist= [1,2,3,4,5,6,7,8,9,0] x= min(dlist)#最小值print(x) d= max(dlist)#最大值print(d) h= sum(dlist)#总 和print(h) ### 案例练习 ### 01、用for循环打印数字1到20 fornuminrange(1,21):print(num) 02、创建一个列表,打印1-100000,用for循环...
key_list=['one','one','one','two','two']people.groupby([len,key_list]).min() 二、数据聚合 聚合指的是任何能够从数组产生标量值的数据转换过程,比如mean、count、min以及sum等函数。你可能想知道在GroupBy对象上调用mean()时究竟发生了什么。许多常见的聚合运算(如表5.1所示)都有进行优化。然而,除了...
print('The value on position {0} is {1}' .format(i,v)) The value on position 0 is a The value on position 1 is b The value on position 2 is C >>>aList = [1,2,3] >>>bList = [4,5,6] >>>cList = [7,8,9] >>>dList = zip(aList, bList, cList) >>>for index,...
jinlist_1:sht_3[int(i),int(j)].color=(255,25,0)f()list_1=[]foriinrange(30):forjin...
numbers = list(range(2,11,2)) print(numbers) 1. 2. [2, 4, 6, 8, 10] 1. 3、数字列表进行统计运算 * max(numList) * min(numList) * sum(numList) 4、列表解析 square = [value**2 for value in range(1,11)] print(square) ...
l1 = ["a","b","c","d"] l2 = [1,2,3,4] l3 = ["w","x","y","z"] l4 = [5,6,7,8] lists = [l1, l2, l3, l4] lst = [None for _ in range(sum(len(l) for l in lists))] for i, l in enumerate(lists): lst[i:len(lists)*len(l):len(lists)] = l print...
returnlst[0]iflen(lst) <=1elselst[0] + sum_n(lst[1:]) print(sum_n([1,3,5,7,9])) 递归算法三定律: 递归算法必须要有结束条件(最小规模问题的直接解决) 递归算法必须能改变状态向基本结束条件演进(减小问题规模) 递归算法必须调用自身(解决减小了规模的...
支持切片操作： 列表支持切片操作，允许访问和操作列表的一部分。 示例：my_list[1:3]将返回['apple'...
import plotly.graph_objects as goimport numpy as npimport pandas as pd# 读取数据temp = pd.read_csv('2016-weather-data-seattle.csv')# 数据处理, 时间格式转换temp['year'] = pd.to_datetime(temp['Date']).dt.year# 选择几年的数据展示即可year_list = [1950, 1960, 1970, 1980, 1990, 2000...