El módulo de colección en Python proporciona diferentes tipos de contenedores. Un contenedor es un objeto que se utiliza para almacenar diferentes objetos y proporcionar una forma de acceder a los objetos contenidos e iterar sobre ellos. Algunos de los contenedores incorporados son Tuple , List , Dictionary , etc. En este artículo, discutiremos los diferentes contenedores proporcionados por el módulo de colecciones.
Contadores
Python3
# A Python program to show different
# ways to create Counter
from collections import Counter
# With sequence of items
print(Counter(['B','B','A','B','C','A','B',
'B','A','C']))
# with dictionary
print(Counter({'A':3, 'B':5, 'C':2}))
# with keyword arguments
print(Counter(A=3, B=5, C=2))
Python3
# A Python program to demonstrate working
# of OrderedDict
from collections import OrderedDict
print("This is a Dict:\n")
d = {}
d['a'] = 1
d['b'] = 2
d['c'] = 3
d['d'] = 4
for key, value in d.items():
print(key, value)
print("\nThis is an Ordered Dict:\n")
od = OrderedDict()
od['a'] = 1
od['b'] = 2
od['c'] = 3
od['d'] = 4
for key, value in od.items():
print(key, value)
Python3
# A Python program to demonstrate working
# of OrderedDict
from collections import OrderedDict
od = OrderedDict()
od['a'] = 1
od['b'] = 2
od['c'] = 3
od['d'] = 4
print('Before Deleting')
for key, value in od.items():
print(key, value)
# deleting element
od.pop('a')
# Re-inserting the same
od['a'] = 1
print('\nAfter re-inserting')
for key, value in od.items():
print(key, value)
Python3
# Python program to demonstrate # defaultdict from collections import defaultdict # Defining the dict d = defaultdict(int) L = [1, 2, 3, 4, 2, 4, 1, 2] # Iterate through the list # for keeping the count for i in L: # The default value is 0 # so there is no need to # enter the key first d[i] += 1 print(d)
Python3
# Python program to demonstrate
# defaultdict
from collections import defaultdict
# Defining a dict
d = defaultdict(list)
for i in range(5):
d[i].append(i)
print("Dictionary with values as list:")
print(d)
Python3
# Python program to demonstrate
# ChainMap
from collections import ChainMap
d1 = {'a': 1, 'b': 2}
d2 = {'c': 3, 'd': 4}
d3 = {'e': 5, 'f': 6}
# Defining the chainmap
c = ChainMap(d1, d2, d3)
print(c)
Python3
# Python program to demonstrate
# ChainMap
from collections import ChainMap
d1 = {'a': 1, 'b': 2}
d2 = {'c': 3, 'd': 4}
d3 = {'e': 5, 'f': 6}
# Defining the chainmap
c = ChainMap(d1, d2, d3)
# Accessing Values using key name
print(c['a'])
# Accessing values using values()
# method
print(c.values())
# Accessing keys using keys()
# method
print(c.keys())
Python3
# Python code to demonstrate ChainMap and
# new_child()
import collections
# initializing dictionaries
dic1 = { 'a' : 1, 'b' : 2 }
dic2 = { 'b' : 3, 'c' : 4 }
dic3 = { 'f' : 5 }
# initializing ChainMap
chain = collections.ChainMap(dic1, dic2)
# printing chainMap
print ("All the ChainMap contents are : ")
print (chain)
# using new_child() to add new dictionary
chain1 = chain.new_child(dic3)
# printing chainMap
print ("Displaying new ChainMap : ")
print (chain1)
Python3
# Python code to demonstrate namedtuple()
from collections import namedtuple
# Declaring namedtuple()
Student = namedtuple('Student',['name','age','DOB'])
# Adding values
S = Student('Nandini','19','2541997')
# Access using index
print ("The Student age using index is : ",end ="")
print (S[1])
# Access using name
print ("The Student name using keyname is : ",end ="")
print (S.name)
Python3
# Python code to demonstrate namedtuple() and
# _make(), _asdict()
from collections import namedtuple
# Declaring namedtuple()
Student = namedtuple('Student',['name','age','DOB'])
# Adding values
S = Student('Nandini','19','2541997')
# initializing iterable
li = ['Manjeet', '19', '411997' ]
# initializing dict
di = { 'name' : "Nikhil", 'age' : 19 , 'DOB' : '1391997' }
# using _make() to return namedtuple()
print ("The namedtuple instance using iterable is : ")
print (Student._make(li))
# using _asdict() to return an OrderedDict()
print ("The OrderedDict instance using namedtuple is : ")
print (S._asdict())
Python3
# Python code to demonstrate deque from collections import deque # Declaring deque queue = deque(['name','age','DOB']) print(queue)
Python3
# Python code to demonstrate working of
# append(), appendleft()
from collections import deque
# initializing deque
de = deque([1,2,3])
# using append() to insert element at right end
# inserts 4 at the end of deque
de.append(4)
# printing modified deque
print ("The deque after appending at right is : ")
print (de)
# using appendleft() to insert element at right end
# inserts 6 at the beginning of deque
de.appendleft(6)
# printing modified deque
print ("The deque after appending at left is : ")
print (de)
Python3
# Python code to demonstrate working of
# pop(), and popleft()
from collections import deque
# initializing deque
de = deque([6, 1, 2, 3, 4])
# using pop() to delete element from right end
# deletes 4 from the right end of deque
de.pop()
# printing modified deque
print ("The deque after deleting from right is : ")
print (de)
# using popleft() to delete element from left end
# deletes 6 from the left end of deque
de.popleft()
# printing modified deque
print ("The deque after deleting from left is : ")
print (de)
Python3
# Python program to demonstrate
# userdict
from collections import UserDict
# Creating a Dictionary where
# deletion is not allowed
class MyDict(UserDict):
# Function to stop deletion
# from dictionary
def __del__(self):
raise RuntimeError("Deletion not allowed")
# Function to stop pop from
# dictionary
def pop(self, s = None):
raise RuntimeError("Deletion not allowed")
# Function to stop popitem
# from Dictionary
def popitem(self, s = None):
raise RuntimeError("Deletion not allowed")
# Driver's code
d = MyDict({'a':1,
'b': 2,
'c': 3})
d.pop(1)
Python3
# Python program to demonstrate
# userlist
from collections import UserList
# Creating a List where
# deletion is not allowed
class MyList(UserList):
# Function to stop deletion
# from List
def remove(self, s = None):
raise RuntimeError("Deletion not allowed")
# Function to stop pop from
# List
def pop(self, s = None):
raise RuntimeError("Deletion not allowed")
# Driver's code
L = MyList([1, 2, 3, 4])
print("Original List")
# Inserting to List"
L.append(5)
print("After Insertion")
print(L)
# Deleting From List
L.remove()
Python3
# Python program to demonstrate
# userstring
from collections import UserString
# Creating a Mutable String
class Mystring(UserString):
# Function to append to
# string
def append(self, s):
self.data += s
# Function to remove from
# string
def remove(self, s):
self.data = self.data.replace(s, "")
# Driver's code
s1 = Mystring("Geeks")
print("Original String:", s1.data)
# Appending to string
s1.append("s")
print("String After Appending:", s1.data)
# Removing from string
s1.remove("e")
print("String after Removing:", s1.data)
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Publicación traducida automáticamente
Artículo escrito por nikhilaggarwal3 y traducido por Barcelona Geeks. The original can be accessed here. Licence: CCBY-SA