Python 中两个字典(dict)合并
关键词:python dict 合并 python 两个dict合并 python3 dict合并、python 字典合并 python两个字典合并 python 多个字典合并
dict1={1:[1,11,111],2:[2,22,222]}
dict2={3:[3,33,333],4:[4,44,444]}
合并两个字典得到类似
{1:[1,11,111],2:[2,22,222],3:[3,33,333],4:[4,44,444]}
方法1:
dictMerged1=dict(dict1.items()+dict2.items())
方法2:
dictMerged2=dict(dict1, **dict2)
方法2等同于:
dictMerged=dict1.copy()
dictMerged.update(dict2)
或者
dictMerged=dict(dict1)
dictMerged.update(dict2)
方法2比方法1速度快很多,用timeit测试如下
$ python -m timeit -s ‘dict1=dict2=dict((i,i) for i in range(100))’ ‘dictMerged1=dict(dict1.items()+dict2.items())’
10000 loops, best of 3: 20.7 usec per loop
$ python -m timeit -s ‘dict1=dict2=dict((i,i) for i in range(100))’ ‘dictMerged2=dict(dict1,**dict2)’
100000 loops, best of 3: 6.94 usec per loop
$ python -m timeit -s ‘dict1=dict2=dict((i,i) for i in range(100))’ ‘dictMerged3=dict(dict1)’ ‘dictMerged3.update(dict2)’
100000 loops, best of 3: 7.09 usec per loop
$ python -m timeit -s ‘dict1=dict2=dict((i,i) for i in range(100))’ ‘dictMerged4=dict1.copy()’ ‘dictMerged4.update(dict2)’
100000 loops, best of 3: 6.73 usec per loop
转载请注明:数据分析 » Python 中两个字典(dict)合并_python dict 合并_python 两个dict合并