collections

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showing results for - "collections"
Tommaso
07 Jan 2019
1from collections import OrderedDict
2
3# Remembers the order the keys are added!
4x = OrderedDict(a=1, b=2, c=3)
Arda
17 Jul 2017
1LIST: Can store duplicate values,Keeps the insertion order.
2- ArrayList not syncronized, array based class 
3- LinkedList not synchronized, doubly linked
4- Vector is synchronized, thread safe
5SET: Can only store unique values,And does not maintain order
6- HashSet can have null, order is not guaranteed
7- LinkedHashSet can have null and keeps the order 
8- TreeSet sorts the order and don't accept null 
9QUQUE :Accepts duplicates, Doesn't have index num,
10First in first our order.        
11MAP:is a (key-value format) 
12and keys are always unique, 
13and value can be duplicated. 
14- HashTable don't have null key, sychronized(thread-safe)
15- LinkedHashMap can have null key, keeps order
16- HasHMap can have null key, order is not guaranteed
17- TreeMap doesn't have null key and keys are sorted
18Examples
19I have used TreeSet to print dropdown list in for 
20 non duplicate values and ascending order 
21I have used HashMaps to compare values from 
22a database with expected values 
Emily
04 May 2018
1>>> # regular unsorted dictionary
2>>> d = {'banana': 3, 'apple': 4, 'pear': 1, 'orange': 2}
3
4>>> # dictionary sorted by key
5>>> OrderedDict(sorted(d.items(), key=lambda t: t[0]))
6OrderedDict([('apple', 4), ('banana', 3), ('orange', 2), ('pear', 1)])
7
8>>> # dictionary sorted by value
9>>> OrderedDict(sorted(d.items(), key=lambda t: t[1]))
10OrderedDict([('pear', 1), ('orange', 2), ('banana', 3), ('apple', 4)])
11
12>>> # dictionary sorted by length of the key string
13>>> OrderedDict(sorted(d.items(), key=lambda t: len(t[0])))
14OrderedDict([('pear', 1), ('apple', 4), ('orange', 2), ('banana', 3)])
15
Alonso
10 Sep 2020
1most_common([n])¶
2Return a list of the n most common elements and their counts from the most common to the least. If n is omitted or None, most_common() returns all elements in the counter.
3Elements with equal counts are ordered arbitrarily:
4
5>>> Counter('abracadabra').most_common(3)
6[('a', 5), ('r', 2), ('b', 2)]
7
Pia
27 Apr 2019
1Depending on the data that I am working with, I use
2Arrays, Lists, Sets, Maps.
3
Quinn
03 Nov 2016
1import collections
2
3numShoes = int(raw_input())
4shoes = collections.Counter(map(int, raw_input().split()))
5numCust = int(raw_input())
6
7income = 0
8
9for i in range(numCust):
10    size, price = map(int, raw_input().split())
11    if shoes[size]: 
12        income += price
13        shoes[size] -= 1
14
15print income
16
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