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Dictionary - Advanced Python 03

22 Apr 2019

A dictionary is a collection which is unordered, changeable and indexed. A dictionary consists of a collection of key-value pairs. Each key-value pair maps the key to its associated value. A dictionary is written in braces. Each key is separated from its value by a colon (:), and the items are separated by commas.

my_dict = {"name":"Max", "age":28, "city":"New York"}

Create a dictionary

Create a dictionary with braces, or with the built-in dict funtion.

my_dict = {"name":"Max", "age":28, "city":"New York"} print(my_dict) # or use the dict constructor, note: no quotes necessary for keys my_dict_2 = dict(name="Lisa", age=27, city="Boston") print(my_dict_2)
{'name': 'Max', 'age': 28, 'city': 'New York'} {'name': 'Lisa', 'age': 27, 'city': 'Boston'}

Access items

name_in_dict = my_dict["name"] print(name_in_dict) # KeyError if no key is found # print(my_dict["lastname"])
Max

Add and change items

Simply add or access a key and asign the value.

# add a new key my_dict["email"] = "max@xyz.com" print(my_dict) # or overwrite the now existing key my_dict["email"] = "coolmax@xyz.com" print(my_dict)
{'name': 'Max', 'age': 28, 'city': 'New York', 'email': 'max@xyz.com'} {'name': 'Max', 'age': 28, 'city': 'New York', 'email': 'coolmax@xyz.com'}

Delete items

# delete a key-value pair del my_dict["email"] # this returns the value and removes the key-value pair print("popped value:", my_dict.pop("age")) # return and removes the last inserted key-value pair # (in versions before Python 3.7 it removes an arbitrary pair) print("popped item:", my_dict.popitem()) print(my_dict) # clear() : remove all pairs # my_dict.clear()
popped value: 28 popped item: ('city', 'New York') {'name': 'Max'}

Check for keys

my_dict = {"name":"Max", "age":28, "city":"New York"} # use if .. in .. if "name" in my_dict: print(my_dict["name"]) # use try except try: print(my_dict["firstname"]) except KeyError: print("No key found")
Max No key found

Looping through dictionary

# loop over keys for key in my_dict: print(key, my_dict[key]) # loop over keys for key in my_dict.keys(): print(key) # loop over values for value in my_dict.values(): print(value) # loop over keys and values for key, value in my_dict.items(): print(key, value)
name Max age 28 city New York name age city Max 28 New York name Max age 28 city New York

Copy a dictionary

Be careful when copying references.

dict_org = {"name":"Max", "age":28, "city":"New York"} # this just copies the reference to the dict, so be careful dict_copy = dict_org # now modifying the copy also affects the original dict_copy["name"] = "Lisa" print(dict_copy) print(dict_org) # use copy(), or dict(x) to actually copy the dict dict_org = {"name":"Max", "age":28, "city":"New York"} dict_copy = dict_org.copy() # dict_copy = dict(dict_org) # now modifying the copy does not affect the original dict_copy["name"] = "Lisa" print(dict_copy) print(dict_org)
{'name': 'Lisa', 'age': 28, 'city': 'New York'} {'name': 'Lisa', 'age': 28, 'city': 'New York'} {'name': 'Lisa', 'age': 28, 'city': 'New York'} {'name': 'Max', 'age': 28, 'city': 'New York'}

Merge two dictionaries

# Use the update() method to merge 2 dicts # existing keys are overwritten, new keys are added my_dict = {"name":"Max", "age":28, "email":"max@xyz.com"} my_dict_2 = dict(name="Lisa", age=27, city="Boston") my_dict.update(my_dict_2) print(my_dict)
{'name': 'Lisa', 'age': 27, 'email': 'max@xyz.com', 'city': 'Boston'}

Possible key types

Any immutable type, like strings or numbers can be used as a key. Also, a tuple can be used if it contains only immutable elements.

# use numbers as key, but be careful my_dict = {3: 9, 6: 36, 9:81} # do not mistake the keys as indices of a list, e.g my_dict[0] is not possible here print(my_dict[3], my_dict[6], my_dict[9]) # use a tuple with immutable elements (e.g. number, string) my_tuple = (8, 7) my_dict = {my_tuple: 15} print(my_dict[my_tuple]) # print(my_dict[8, 7]) # a list is not possible because it is not immutable # this will raise an Error: # my_list = [8, 7] # my_dict = {my_list: 15}
9 36 81 15

Nested dictionaries

The values can also be container types (e.g. lists, tuples, dictionaries).

my_dict_1 = {"name": "Max", "age": 28} my_dict_2 = {"name": "Alex", "age": 25} nested_dict = {"dictA": my_dict_1, "dictB": my_dict_2} print(nested_dict)
{'dictA': {'name': 'Max', 'age': 28}, 'dictB': {'name': 'Alex', 'age': 25}}