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On this page
  • ALL ABOUT PYTHON DICTIONARIES
  • What are Python dictionaries?
  • Creating a Dictionary
  • Getting the keys and values of a dictionary
  • Adding new key-value pairs
  • Removing key-value pairs
  • How to combine two Python dictionaries
  • The items method
  • Dictionary Comprehensions
  • Creating more complex dictionaries

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  1. Tutorials
  2. Python
  3. Dictionary

ALL ABOUT DICTIONARIES

15 Apr 2020

PreviousDictionary ComprehensionNextDefaultDict Type for Handling Missing Keys

Last updated 4 years ago

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ALL ABOUT PYTHON DICTIONARIES

In this article, we will explore Python dictionaries. For my previous tutorials on Python data structures, please see the below links.

What are Python dictionaries?

A dictionary is one of Python’s primary data structures. In essence, a dictionary (also shortened as dict) is a collection of key-value pairs, similar to an actual dictionary (like the one pictured above). When you look up a word in a dictionary, you find a corresponding definition. Similarly, in a Python dictionary, each key has a corresponding value.

In dictionaries, one key can have only one value. However, the value can be anything from a single number or character, to lists, tuples, other dictionaries, or even functions!

Creating a Dictionary

Dictionaries can be created several ways. The most straightforward way is below using curly braces.


# method 1)
mapper = {"a": 1, "b": 2, "c":3}

In this example, we create a dictionary with three elements – that is, three key-value pairs. The keys are “a”, “b”, and “c”, while the corresponding values are 1, 2, and 3.

Getting the keys and values of a dictionary

We can get the keys of our dictionary using the keys method.


mapper.keys()

Similarly, we can get the values of a dictionary using the values method.


mapper.values()

Adding new key-value pairs

We can add new key-value pairs to a dictionary using bracket notation.


mapper["d"] = 4

mapper["e"] = 5

Likewise, if we want to refine a key-value pair, we also use bracket notation.


mapper["a"] = 10

Removing key-value pairs

Key-value pairs can be removed in a couple of different ways. The first is using the pop method.


mapper.pop("e")

Using the pop method both removes the key-value pair and returns the value corresponding to the key input into the method. Alternatively, we can remove a key-value pair using Python’s del method. This way does not return any value.


del mapper["d"]

How to combine two Python dictionaries

Dictionaries can be combined using the update method. For example, we currently have:

mapper = {“a”, “b”, “c”}

Now let’s create another dictionary called extra:


extra = {"this": "is", "another":"dictionary"}

Next, let’s combine mapper and extra.


mapper.update(extra)

Running the update method here will update mapper to also have the key-value pairs in extra.

The items method

We can convert a dictionary into a list of tuples using the items method. Here, each tuple will be a key-value pair. The first line below will create a dict_items object, which is iterable, so we can loop over the key-value pairs in this object. However, this object is not indexable – i.e. trying to run mapper.items()[0] will result in an error. However, if we wanted to reference key-value pairs by index, we can convert this to a list. In practice, we usually would not need to do this conversion.


# get key-value tuples in dictionary
mapper.items()

# convert to list
list(mapper.items())

The items method is especially useful when iterating over a dictionary, or when creating a dictionary comprehension, which we’ll discuss next.

Suppose we have dictionary of filenames – each key is a filename, and each value is a new name that we want to give for the key. Here, we can loop over the items (key-value pairs) in the dictionary and change each file name.


import os

files = {"file1.txt": "new_file.txt", "file2.txt", "new_file2.txt", "file3.txt", "new_file3.txt"}

for key,val in files.items():
    os.rename(key, val)

Dictionary Comprehensions



mapper = {"a": 1, "b": 2, "c":3, "d":4}

new_mapper = {key : 2 * val for key,val in mapper.items()}



mapper = {"a": 1, "b": 2, "c":3, "d":4}

# return subset of dictionary with values < 3
new_dict = {key : val for key,val in mapper.items() if val < 3}

Creating more complex dictionaries

As mentioned earlier in this post, dictionaries can contain many types of objects. Let’s create a dictionary with lists as some of its values.


test = {"list1": [1, 2, 3], "list2": [3, 4, 5], "not_a_list": 10}

We can also create dicts with functions as values.


def hello():
    print("hello world")
    
def hi():
    print("hi world")

funcs = {"func1": hello, "func2": hi}

funcs["func1"]

Creating dictionaries in this way is a alternative to organizing functions. In addition to having functions as values, we can also have functions as keys!


funcs = {hello: "func1", hi: "func2"}

funcs[hello]

add element to dictionary
python remove key value pair
python del dictionary
python combine dictionaries
python convert dictionary to list

Similar to , we can also create dictionaries using dictionary comprehensions. We can do that using the items method we just covered. A dictionary comprehension is a way of creating a dict by looping over the keys and values of an existing dict – just like how a list comprehension creates a new list by looping over the elements of an existing list.

python dict comprehension

Dictionary comprehensions also support if-else statements, like below. Again, this is similar to .

python dictionary comprehensions

Reference :

Lists
List Comprehensions
Sets
list comprehensions
list comprehensions
http://theautomatic.net/2020/04/15/all-about-python-dictionaries/