/Python/Collections.Counter(string).most_common

Collections.Counter(string).most_common

counter = Counter({'Dog': 2, 'Cat': -1, 'Horse': 0})

# most_common()
most_common_element = counter.most_common(1)
print(most_common_element)  # [('Dog', 2)]

least_common_element = counter.most_common()[:-2:-1]
print(least_common_element)  # [('Cat', -1)]

Source: journaldev.com

Collections.Counter(string).most_common

# getting count
counter = Counter({'Dog': 2, 'Cat': 1, 'Horse': 1})
countDog = counter['Dog']
print(countDog)  # 2

Source: journaldev.com

Collections.Counter(string).most_common

# Delete element from Counter
del counter['Unicorn']
print(counter)  # Counter({'Dog': 2, 'Cat': 1, 'Horse': 0})

Source: journaldev.com

Collections.Counter(string).most_common

# getting count for non existing key, don't cause KeyError
print(counter['Unicorn'])  # 0

Source: journaldev.com

Collections.Counter(string).most_common

counter = Counter({'Dog': 2, 'Cat': -1, 'Horse': 0})

# elements()
elements = counter.elements()  # doesn't return elements with count 0 or less
for value in elements:
    print(value)

Source: journaldev.com

Collections.Counter(string).most_common

# Counter works with non-numbers too
special_counter = Counter(name='Pankaj', age=20)
print(special_counter)  # Counter({'name': 'Pankaj', 'age': 20})

Source: journaldev.com

Collections.Counter(string).most_common

counter = Counter({'Dog': 2, 'Cat': 1, 'Horse': 1})
# setting count
counter['Horse'] = 0
print(counter)  # Counter({'Dog': 2, 'Cat': 1, 'Horse': 0})

# setting count for non-existing key, adds to Counter
counter['Unicorn'] = 1
print(counter)  # Counter({'Dog': 2, 'Cat': 1, 'Unicorn': 1, 'Horse': 0})

Source: journaldev.com

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