Python Joins/Merge and common Attributes/Methods in Pandas
Learn Python Joins, Merges, and Concatenation in Pandas. Understand syntax and techniques to handle multiple dataframes in a single line of code. Ideal for Python developers seeking to enhance their data manipulation skills. Boost your job prospects with a solid understanding of Python, the top programming language of 2021.
What you’ll learn
- Inner Join/Merge in Pandas
- Left Join/Merge in Pandas
- Right Join/Merge in Pandas
- Outer Join/Merge in Pandas
- Concatenation in Pandas
- Merging/Joining on multiple columns
- Join/Merge more than 2 dataframes in single line of code
- Join/Merge on different column names
- Join/Merge on Index
- Validating concatenation
- Join/Merge on Multi-Index
- Some common methods/attributes: group by( ), agg ( ), plot ( ), astype ( ) etc.
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In this course you will learn about Python Joins with simple examples so you can understand the syntax and how merge/joins actually work.
You will further learn:-
All types of Joins have been explained with the help of diagram and then executed in python
Concatenation along with indexes have been explained very well. This will help to understand basic difference between concatenation and merge.
Powerful techniques like merging/Joining on Single index, Multi-Index have been demonstrated.
The dataset is built on-screen (values in dictionary and then converted into dataframe), so that you can learn and change it accordingly (if needed) to experiment and understand concepts better.
The tricks to handle merge/join when the column name is different have been explained.
To Merge/Join more than 2 dataframes in single line of code have been demonstrated.
Python common attributes along with methods have been explained very well. You will be able to understand the basics of it in a better way.
How to handle multiple valuesets using matplotlib have been demonstrated as well.
As you all know python is the number #1 programming language of 2021. There are various job opportunities in the market if you have a solid understanding of this language. The syntax is simple and easy to learn. As it is bit comprehensive, in this course, I have primarily kept my focus on python joins/merge/concatenation and some basic attributes so that you can build your own dataset in python and explore that using the attributes/methods/ techniques (as explained in this course).
Who this course is for:
- Python developers
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