python dictionary of dictionaries

Dictionary We have all used language dictionaries to find definitions of words that we don't know. A language dictionary provides a standard set of information for a given word, such as Python. This system associates the definition and other information with the actual word (map). Use words as key locators to find inf

There are generally two common practices:The first approach: using a self-implemented function:There is a Has_key () method in the property method of the Python dictionary:[Python]View PlainCopy #生成一个字典 D = {' name ': Tom, ' age ':ten, ' Tel ': #打印返回值 Print D.has_key (' name ') #结果返回True The second method: Use the In method:[

"" Use collections. Ordereddict (ordered dictionary) replaces the built-in dictionary dict with ordereddict, and then deposits the player's results ordereddict "" "From collections Import ORDEREDDICTD = Ordereddict () d[' aaa '] = (1, () d[' bbb ') = (2, +) d[' CCC ') = (3,) print Ddemo: From collections import ordereddictfrom time import timefrom random Import Randintplayer = list (' abcdefgh ') start = t

}, and age ' {age} ') #替换print ("Alex Li, Chinese name is Lijie" . replace ("Li", "Li", 1)) #大小写互换str = "This is string EXAMPLE....WOW!!!" Print (Str.swapcase ()) print (Msg.zfill (+)) # Out:00000my name is {name}, and age is {Age}print (Msg.ljust (+, "-")) #my Nam E is {name}, and age was {age}-----Print (Msg.rjust (+, "-")) #-----My name is {name}, and ' age ' {age}# detects if a string can be used as a marker, that is, whether Conforming variable naming rules b= "ddefdsdff_ haha" print (B.isi

Python has won a lot of programmers ' pro-gaze with its beautiful syntax and convenient built-in data structures. There is a very useful data structure, which is the dictionary (dict), which is very simple to use. When it comes to traversing a dict structure, I think most people will think of the for-key in Dictobj method, and it is true that this method is applicable in most cases. But not completely safe,

Python basics 2-dictionary, python2-dictionary Dictionary Dictionary is another variable container model that can store any type of objects. Each key-value (key => value) pair of the dictionary uses the colon (:), And each pair is

Dict1 = {1: [111, 222], 2: [,]}Dict2 = {3: [333, 444], 4: [,]}Merge the two dictionaries to get a similar result. {1: [111, 222], 2: [333, 444], 3: [,], 4: [,]}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 i

Foreplay: The data series in Python is divided into variable (mutable) and immutable (immutable) twoImmutable: string, int, float, tupleFeature: The same object occupies only one memory address, regardless of how many variables refer to it, such as A=1,b=1Because it is immutable, each time a new object must be created, the Python garbage collection mechanism will automatically clean up if no references poin

The following small series for everyone to bring a brief discussion of Python in the list, string, Dictionary of common operations. Small series feel very good, now share to everyone, also for everyone to make a reference. Let's take a look at it with a little knitting. The list operation is this: A = ["haha", "Xixi", "Baba"] Add: A.append[gg] A.INSERT[1,GG] in place labeled 1, added GG Delete: a.remove (h

Dictionary1. Querying memory AddressesA = 10Print (ID (a))b = APrint (ID (b))b = 15Print (ID (b))2. Data typeImmutable types: Integer, string, tupleMutable type: list, dictionaryThe value of a dictionary can be any type, and the key can only be an immutable type.The dictionary store is unordered. For example:DIC = {' name ': ' YSW ', ' age ': $, ' hobby ': ' Game ', ' Is_handsome ': True}Print (DIC)Print (d