Dictionaries in Python are versatile data structures that store key-value pairs. They provide efficient lookup, insertion, and deletion operations. Python dictionaries have a variety of built-in methods that facilitate manipulation and management of the data they hold.
dict.clear()
d = {'a': 1, 'b': 2}
d.clear()
# d is now {}
dict.copy()
d = {'a': 1, 'b': 2}
d_copy = d.copy()
dict.fromkeys(iterable, value=None)
value
.keys = ['a', 'b', 'c']
d = dict.fromkeys(keys, 0)
# d is {'a': 0, 'b': 0, 'c': 0}
dict.get(key, default=None)
key
if key
is in the dictionary, else default
.d = {'a': 1, 'b': 2}
value = d.get('a', 0) # Returns 1
value = d.get('c', 0) # Returns 0
dict.items()
d = {'a': 1, 'b': 2}
items = d.items()
# items is dict_items([('a', 1), ('b', 2)])
dict.keys()
d = {'a': 1, 'b': 2}
keys = d.keys()
# keys is dict_keys(['a', 'b'])
dict.pop(key, default=None)
default
is returned if provided, otherwise KeyError
is raised.d = {'a': 1, 'b': 2}
value = d.pop('a') # Returns 1, d is now {'b': 2}
value = d.pop('c', 0) # Returns 0, d is still {'b': 2}
dict.popitem()
KeyError
if the dictionary is empty.d = {'a': 1, 'b': 2}
item = d.popitem() # Could return ('a', 1) or ('b', 2)
dict.setdefault(key, default=None)
key
if it is in the dictionary; if not, inserts key
with a value of default
and returns default
.d = {'a': 1}
value = d.setdefault('a', 0) # Returns 1
value = d.setdefault('b', 2) # Returns 2, d is now {'a': 1, 'b': 2}
dict.update([other])
other
, overwriting existing keys. other
can be another dictionary or an iterable of key-value pairs.d = {'a': 1}
d.update({'b': 2})
# d is now {'a': 1, 'b': 2}
dict.values()
d = {'a': 1, 'b': 2}
values = d.values()
# values is dict_values([1, 2])
Dictionaries in Python are powerful and efficient for managing key-value pairs. The methods provided by the dict
class allow for a wide range of operations, from basic data manipulation to more complex tasks like merging dictionaries or handling missing keys gracefully. By leveraging these methods, you can perform dictionary operations in a clean and efficient manner.