python学习笔记—列表相关
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python中的列表等同于其他编程语言中的数组
基本操作有:
1.插入,追加,修改,删除
name = ["Type99","M1A2","T-72","Leclerc"] print (name[2]) print (name[0:2]) print (name[1:-1]) print (name) name.insert(2,"Type96") #插入元素 print (name) name.append("Type59") #追加元素 print (name) name[-1] = "SuperType59" #修改元素 print (name) name.remove("T-72")#删除列表中的元素 print (name) #del name[0:3] #删除内存中的数据 #print (name) #del name #直接从内存中删除了整个变量 #print (name)
2.步长:
print (name[0::2])#最后一个冒号后面的数值是步长
3.对列表内的某个元素的判断:
name = [759,456,116,15,1,161,4896,16,7596,51,60,6,1,65161,1,61,1,6,1,6,4,1,96,4,1,418,1,9633,1] #print (15 in name) #判断15是否处于列表name中 if 1 in name: num_of_ele = name.count(1) print("[%s]15 is in name" %num_of_ele) #判断有多少个1在这个列表中
4.判断有多少各1在列表中,第一个1处在什么位置:
name = [759,456,116,15,1,161,4896,16,7596,51,60,6,1,65161,1,61,1,6,1,6,4,1,96,4,1,418,1,9633,1] if 1 in name: num_of_ele = name.count(1) position_of_ele = name.index(1) print ("[%s] 1 is in name,position of this number:%s" %(num_of_ele,position_of_ele))
5.判断列表中有多少个1,并将所有的1替换成Gooooooool.
name = [759,456,116,15,1,161,4896,16,7596,51,60,6,1,65161,1,61,1,6,1,6,4,1,96,4,1,418,1,9633,1] for i in range(name.count(1)): position_of_ele = name.index(1) name[position_of_ele] = "Gooooooooooool" print(name)
6.合并两个列表及倒序输出列表
name = [759,456,116,15,1,161,4896,16,7596,51,60,6,1,65161,1,61,1,6,1,6,4,1,96,4,1,418,1,9633,1] name2 =["yc","L","X","Y","H"] name.extend(name2)#追加列表 print(name) print(name2)#追加不会删除原有列表 name.reverse()#倒序输出列表 name2.reverse() print (name) print (name2)
7.列表的复制:
name = ["Type99",["M1A2","T-90","T-72","T-34","Tiger","M4"],"Leclerc","Type62"] name2 = name.copy() print(name) print(name2) name[2] = "Type59" print (name) print (name2) name[1][1] = "T-14" print (name) print (name2) import copy name3 = copy.copy(name) name[1][2] = "M-26" print(name) print(name3) name4 =copy.deepcopy(name) name[1][3] = "KV-2" print(name) print(name4) name5 =copy.deepcopy(name) name[3] = "Firefly" print(name) print(name5)
输出如下:
[‘Type99‘, [‘M1A2‘, ‘T-90‘, ‘T-72‘, ‘T-34‘, ‘Tiger‘, ‘M4‘], ‘Leclerc‘, ‘Type62‘]
[‘Type99‘, [‘M1A2‘, ‘T-90‘, ‘T-72‘, ‘T-34‘, ‘Tiger‘, ‘M4‘], ‘Leclerc‘, ‘Type62‘]
[‘Type99‘, [‘M1A2‘, ‘T-90‘, ‘T-72‘, ‘T-34‘, ‘Tiger‘, ‘M4‘], ‘Type59‘, ‘Type62‘]
[‘Type99‘, [‘M1A2‘, ‘T-90‘, ‘T-72‘, ‘T-34‘, ‘Tiger‘, ‘M4‘], ‘Leclerc‘, ‘Type62‘]
[‘Type99‘, [‘M1A2‘, ‘T-14‘, ‘T-72‘, ‘T-34‘, ‘Tiger‘, ‘M4‘], ‘Type59‘, ‘Type62‘]
[‘Type99‘, [‘M1A2‘, ‘T-14‘, ‘T-72‘, ‘T-34‘, ‘Tiger‘, ‘M4‘], ‘Leclerc‘, ‘Type62‘]
[‘Type99‘, [‘M1A2‘, ‘T-14‘, ‘M-26‘, ‘T-34‘, ‘Tiger‘, ‘M4‘], ‘Type59‘, ‘Type62‘]
[‘Type99‘, [‘M1A2‘, ‘T-14‘, ‘M-26‘, ‘T-34‘, ‘Tiger‘, ‘M4‘], ‘Type59‘, ‘Type62‘]
[‘Type99‘, [‘M1A2‘, ‘T-14‘, ‘M-26‘, ‘KV-2‘, ‘Tiger‘, ‘M4‘], ‘Type59‘, ‘Type62‘]
[‘Type99‘, [‘M1A2‘, ‘T-14‘, ‘M-26‘, ‘T-34‘, ‘Tiger‘, ‘M4‘], ‘Type59‘, ‘Type62‘]
[‘Type99‘, [‘M1A2‘, ‘T-14‘, ‘M-26‘, ‘KV-2‘, ‘Tiger‘, ‘M4‘], ‘Type59‘, ‘Firefly‘]
[‘Type99‘, [‘M1A2‘, ‘T-14‘, ‘M-26‘, ‘KV-2‘, ‘Tiger‘, ‘M4‘], ‘Type59‘, ‘Type62‘]
注:
1.copy.deepcopy()是标准库copy提供的,所以在使用之前需要先申明
2.name.copy所进行的copy类似于软链接形式,在上述例子中嵌套列表首先两个列表在内存中都拥有内存空间,copy之后,外部的列表重新开辟了一块新的内存空间以供自己使用,内部嵌套的列表还是使用原本的内存空间。
copy.deepcopy()就是直接copy一个完整的列表,原来有多少内存空间,就新开辟几个内存空间。
第一次写,有任何不当,欢迎指正
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