Python implements the merge of two dictionaries (dict), pythondict
This article describes how to merge two dictionaries (dict) in Python. The specific method is as follows:
Two existing dictionaries, dict, are as follows:
dict1={1:[1,11,111],2:[2,22,222]}dict2={3:[3,33,333],4:[4,44,444]}
Merge the two dictionaries to get a similar result:
{1:[1,11,111],2:[2,22,222],3:[3,33,333],4:[4,44,444]}
Method 1:
dictMerged1=dict(dict1.items()+dict2.items())
Method 2:
dictMerged2=dict(dict1, **dict2)
Method 2 is equivalent:
dictMerged=dict1.copy()dictMerged.update(dict2)
Or:
dictMerged=dict(dict1)dictMerged.update(dict2)
Method 2 is much faster than method 1. The timeit test is as follows:
$ 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
I hope this article will help you with Python programming.
Combine the two dictionaries in python
Dict1 = {'1': ('A', 'B', 'C', 'D'), '2': ('F', 'w ', 'M'), '3' :( 'P', 'l', 'w ')}
Dict2 = {'1': ('B', 'w', 'q'), '2' :( 'I', 'z', 'M '), '3' :( 'P', 'w', 'O ')}
Dict = {}
For key in dict1.keys ():
Dict [key] = list (dict1 [key])
For key in dict2.keys ():
If dict. has_key (key ):
# Append
For v in dict2 [key]:
If not v in dict [key]:
Dict [key]. append (v)
Else:
Dict [key] = list (dict2 [key])
Print dict
Python combines two dictionaries into one.
Dict1 = {'1': ('A', 'B', 'C', 'D'), '2': ('F', 'w ', you probably haven't run the content in python at all, have you? Let's see the two dictionaries I have changed.