Shubham Ankit

Shubham Ankit

1580705541

How To Combine Two Or More Dictionaries In Python with Examples

Dictionary in Python is an unordered collection of data values, used to store data values like a map, which unlike other Data Types that hold only single value as an element, Dictionary holds key:value pair. Key value is provided in the dictionary to make it more optimized.

Have you ever wanted to combine two or more dictionaries in Python? There are various ways in which Dictionaries can be merged by the use of various functions and constructors in Python. In this article, we will discuss few ways of merging dictionaries.

There are mainly two ways that we can use the merge two dictionaries in Python.

  • Merge two or more dictionaries using dict.update()
  • Merge two or more Dictionaries using **kwargs

Here are some examples of how to combine two or more dictionaries in Python

Example 1

Merge two or more dictionaries using dict.update()

Python dictionary update() is an inbuilt method that updates one dictionary with the elements of another dictionary object or from an iterable value of key pair. If a key is not present in the dictionary, it first adds the key to the dictionary.

After that, it combines the value; otherwise, if the key is already present in the dictionary, it just updates the value.

In short, it accepts another dictionary or an Iterable object (collection of key-value pairs) as an argument. Then merges the contents of this passed dictionary or Iterable in the current dictionary.

See the following code.


# app.py

dictA = {'asa': 11, 'emma': 19, 'eric' : 21}

dictB = {'millie': 46, 'finn': 23, 'noah' : 18}

dictA.update(dictB)
 
print('Updated dictionary A :')
print(dictA)

Output


Updated dictionary 1 :
{'asa': 11, 'emma': 19, 'eric': 21, 'millie': 46, 'finn': 23, 'noah': 18}

From the output, you can see that All the items from dictB are added to dictA.

In this example, all the keys are from both the dictionaries are unique.

Let’s take an example in which some of the keys are the same for both the dictionaries and see the output.

# app.py

dictA = {'asa': 11, 'emma': 19, 'eric' : 21}

dictB = {'asa': 46, 'finn': 23, 'eric' : 18}

dictA.update(dictB)
 
print('Updated dictionary A :')
print(dictA)

Output


Updated dictionary A :
{'asa': 46, 'emma': 19, 'eric': 18, 'finn': 23}

So, from the output, you can see that keys that are common in both the dictionaries will contain the values as in dictB. The dictionary we are passing in the update() method as an argument will override the standard key’s values. Therefore ‘asa’ has value 46, and ‘eric‘ has value 18 now.

So, the second dictionary’s value will override the first dictionary value, if the keys are the same in both the dictionaries while doing an update().
The update() method did not create a new dictionary(dictA), it updates the content of the first dictionary(dictA).

Let’s see the second way of how to merge two dictionaries.

Example 2

Merge two or more Dictionaries using **kwargs

The special syntax **kwargs in python is used to pass the keyworded, variable-length argument list. We use the name kwargs with a double star.

The main reason is that the double star allows us to pass through any number of keyword arguments.

  1. A keyword argument is where you provide the name to the variable as you pass it into the function.

  2. You can think of the kwargs as being the dictionary that maps each keyword to a value that we pass alongside it. That is why when we iterate over the kwargs, there doesn’t seem to be any order in which they were printed out.

For example, if we have a dictionary like the following.

dictA = {'asa': 11, 'emma': 19, 'eric' : 21}

When we apply **(double star) to the dictA, it deserializes the contents of the dictionary to a collection of key-value pairs like the following.

**dictA

Is equivalent to this.


'asa': 11, 'emma': 19, 'eric' : 21


Now, see the following code.


# app.py

dictA = {'asa': 11, 'emma': 19, 'eric' : 21}

dictB = {'millie': 46, 'finn': 23, 'noah' : 18}

dictC = {**dictA, **dictB}
 
print('Combined Dictionary C :')
print(dictC)

In the above code, we are creating the third dictionary and assign the deserialized values of two dictionaries to that dictionaries.

So, we are getting combined dictC, which is the third dictionary, and it does not modify the content of the existing two dictionaries.

Output


Combined Dictionary C :
{'asa': 11, 'emma': 19, 'eric': 21, 'millie': 46, 'finn': 23, 'noah': 18}

The **dictA and **dictB expanded the contents of both the dictionaries to a collection of key-value pairs.

Therefore, a new dictionary dictC is created that contains the data from both the dictionaries.

Here also, if the first and second dictionary has the same keys, then the second dictionary’s value will override the first one.

If you change the order like this.

dictC = {**dictB, **dictA}


Then, the content of dictA will override the content of dictB. So, order matters here.

Example 3

Combine three dictionaries in Python

Let’s take three dictionaries and combine all of them and create the fourth dictionary.

# app.py

dictA = {'asa': 11, 'emma': 19, 'eric' : 21}

dictB = {'millie': 46, 'finn': 23, 'noah': 18}

dictC = {'penny': 29, 'sheldon': 36, 'leonard': 2}

dictD = {**dictA, **dictB, **dictC}
 
print('Combined Dictionary D :')
print(dictD)

Output


Combined Dictionary D :
{'asa': 11, 'emma': 19, 'eric': 21, 'millie': 46, 'finn': 23, 'noah': 18, 'penny': 29, 'sheldon': 36, 'leonard': 2}

As you can see Merging two or more dictionaries is an easy task in Python. But to find a better approach is a tough choice for every developer. If you do not have any consequences of modifying the existing dictionary, then you can use the dict.update() method otherwise go for **kwargs approach.

Thanks for reading !

#python #programming

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Buddha Community

How To Combine Two Or More Dictionaries In Python with Examples
Ray  Patel

Ray Patel

1619518440

top 30 Python Tips and Tricks for Beginners

Welcome to my Blog , In this article, you are going to learn the top 10 python tips and tricks.

1) swap two numbers.

2) Reversing a string in Python.

3) Create a single string from all the elements in list.

4) Chaining Of Comparison Operators.

5) Print The File Path Of Imported Modules.

6) Return Multiple Values From Functions.

7) Find The Most Frequent Value In A List.

8) Check The Memory Usage Of An Object.

#python #python hacks tricks #python learning tips #python programming tricks #python tips #python tips and tricks #python tips and tricks advanced #python tips and tricks for beginners #python tips tricks and techniques #python tutorial #tips and tricks in python #tips to learn python #top 30 python tips and tricks for beginners

Ray  Patel

Ray Patel

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Lambda, Map, Filter functions in python

Welcome to my Blog, In this article, we will learn python lambda function, Map function, and filter function.

Lambda function in python: Lambda is a one line anonymous function and lambda takes any number of arguments but can only have one expression and python lambda syntax is

Syntax: x = lambda arguments : expression

Now i will show you some python lambda function examples:

#python #anonymous function python #filter function in python #lambda #lambda python 3 #map python #python filter #python filter lambda #python lambda #python lambda examples #python map

Shardul Bhatt

Shardul Bhatt

1626775355

Why use Python for Software Development

No programming language is pretty much as diverse as Python. It enables building cutting edge applications effortlessly. Developers are as yet investigating the full capability of end-to-end Python development services in various areas. 

By areas, we mean FinTech, HealthTech, InsureTech, Cybersecurity, and that's just the beginning. These are New Economy areas, and Python has the ability to serve every one of them. The vast majority of them require massive computational abilities. Python's code is dynamic and powerful - equipped for taking care of the heavy traffic and substantial algorithmic capacities. 

Programming advancement is multidimensional today. Endeavor programming requires an intelligent application with AI and ML capacities. Shopper based applications require information examination to convey a superior client experience. Netflix, Trello, and Amazon are genuine instances of such applications. Python assists with building them effortlessly. 

5 Reasons to Utilize Python for Programming Web Apps 

Python can do such numerous things that developers can't discover enough reasons to admire it. Python application development isn't restricted to web and enterprise applications. It is exceptionally adaptable and superb for a wide range of uses.

Robust frameworks 

Python is known for its tools and frameworks. There's a structure for everything. Django is helpful for building web applications, venture applications, logical applications, and mathematical processing. Flask is another web improvement framework with no conditions. 

Web2Py, CherryPy, and Falcon offer incredible capabilities to customize Python development services. A large portion of them are open-source frameworks that allow quick turn of events. 

Simple to read and compose 

Python has an improved sentence structure - one that is like the English language. New engineers for Python can undoubtedly understand where they stand in the development process. The simplicity of composing allows quick application building. 

The motivation behind building Python, as said by its maker Guido Van Rossum, was to empower even beginner engineers to comprehend the programming language. The simple coding likewise permits developers to roll out speedy improvements without getting confused by pointless subtleties. 

Utilized by the best 

Alright - Python isn't simply one more programming language. It should have something, which is the reason the business giants use it. Furthermore, that too for different purposes. Developers at Google use Python to assemble framework organization systems, parallel information pusher, code audit, testing and QA, and substantially more. Netflix utilizes Python web development services for its recommendation algorithm and media player. 

Massive community support 

Python has a steadily developing community that offers enormous help. From amateurs to specialists, there's everybody. There are a lot of instructional exercises, documentation, and guides accessible for Python web development solutions. 

Today, numerous universities start with Python, adding to the quantity of individuals in the community. Frequently, Python designers team up on various tasks and help each other with algorithmic, utilitarian, and application critical thinking. 

Progressive applications 

Python is the greatest supporter of data science, Machine Learning, and Artificial Intelligence at any enterprise software development company. Its utilization cases in cutting edge applications are the most compelling motivation for its prosperity. Python is the second most well known tool after R for data analytics.

The simplicity of getting sorted out, overseeing, and visualizing information through unique libraries makes it ideal for data based applications. TensorFlow for neural networks and OpenCV for computer vision are two of Python's most well known use cases for Machine learning applications.

Summary

Thinking about the advances in programming and innovation, Python is a YES for an assorted scope of utilizations. Game development, web application development services, GUI advancement, ML and AI improvement, Enterprise and customer applications - every one of them uses Python to its full potential. 

The disadvantages of Python web improvement arrangements are regularly disregarded by developers and organizations because of the advantages it gives. They focus on quality over speed and performance over blunders. That is the reason it's a good idea to utilize Python for building the applications of the future.

#python development services #python development company #python app development #python development #python in web development #python software development

Ray  Patel

Ray Patel

1623077700

Working with Python dictionaries: a cheat sheet

Accessing, editing and looping through dictionary items

Dictionaries in Python are a collection of key-value pairs — meaning every item in the dictionary has a key and an associated value.

If we want to write down prices of some items in a grocery store, normally we will note them on a piece of paper like this:

eggs - 4.99
banana - 1.49
cheese- 4.5
eggplant - 2.5
bread - 3.99

In Python dictionary lingo, the name of each item is “key” and the associated price is “value” and they appear in pairs. We can represent the same in a Python dictionary data structure as follows:

{"eggs": 4.99,
"banana": 1.49,
"cheese": 4.5,
"eggplant": 2.5,
"bread": 3.99}

Notice the differences. In the dictionary

  • each key is within quotation marks because they are strings
  • the associated values are not quoted because they are numeric
  • keys and values are separated by a colon (:)
  • the items are comma-separated

#dictionary #python #artificial-intelligence #dictionaries #python dictionary #working with python dictionaries

Art  Lind

Art Lind

1602968400

Python Tricks Every Developer Should Know

Python is awesome, it’s one of the easiest languages with simple and intuitive syntax but wait, have you ever thought that there might ways to write your python code simpler?

In this tutorial, you’re going to learn a variety of Python tricks that you can use to write your Python code in a more readable and efficient way like a pro.

Let’s get started

Swapping value in Python

Instead of creating a temporary variable to hold the value of the one while swapping, you can do this instead

>>> FirstName = "kalebu"
>>> LastName = "Jordan"
>>> FirstName, LastName = LastName, FirstName 
>>> print(FirstName, LastName)
('Jordan', 'kalebu')

#python #python-programming #python3 #python-tutorials #learn-python #python-tips #python-skills #python-development