Merge Column in Pandas Dataframe

Pandas DataFrame merge() method is used to update the contents of two DataFrame by merging them, and it is used in specified methods. Use the parameters to control which values to keep and which to replace data in the Pandas DataFrame. 

The main use of the merge() function is that the most crucial requirement for connecting two data frames is that the column type is the same on which the merging occurs in DataFrame. This function is similar to the join function in a Relational Database Management System(RDMS). We can call the merge() function for log n times, and since each recursive step is one-half the length of n, we know that merge is 0(n log n) and could stop here as the merge is called log n times and the merge must be called n times. If both key columns in the data frame include rows where the key is a null value, those rows will match against each other in Pandas data frame. This differs from usual SQL join behavior and can lead to unexpected outputs. 

Advantages of using merge() function: 

• It reduces the cost of operations. 
• Avoid replicas. 

Here is an example of how to merge columns in Pandas DataFrame: 

Fig : Preview of the output that you will get on running this code from your IDE.

Code

In this solution we're using Pandas and library.

Instructions

Follow the steps carefully to get the output easily.

1. Install pandas on your IDE(Any of your favorite IDE).
2. Copy the snippet using the 'copy' and paste it in your IDE.
3. Add required dependencies and import them in Python file.
4. Add open and close parenthesis at print statement.
5. Run the file to generate the output.

I hope you found this useful. I have added the link to dependent libraries, version information in the following sections.

I found this code snippet by searching for 'pandas dataframe join' in kandi. You can try any such use case!

Environment Tested

I tested this solution in the following versions. Be mindful of changes when working with other versions.

1. The solution is created in PyCharm 2021.3.
2. The solution is tested on Python 3.9.7.
3. Pandas version-v1.5.2.

Using this solution, we are able to merge column in pandas dataframe with simple steps. This process also facilities an easy way to use, hassle-free method to create a hands-on working version of code which would help us to merge column in pandas dataframe.

Dependent Library

You can also search for any dependent libraries on kandi like 'pandas'.

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