## Python Pandas Part-16 | Pandas GroupBy Function in Hindi | Machine Learning Course #01.02.16

‘Pandas GroupBy Function in Hindi | Python Pandas Part-16 in Hindi’

Course name: “Machine Learning – Beginner to Professional Hands-on Python Course in Hindi”

In this tutorial we explain Pandas GroupBy Function in Hindi and describe these:
1) What is Pandas GroupBy Function
2) Parameters of Pandas GroupBy Function
3) groupby.().get_group()
4) Splitting the Object into Group
5) Applying a Function
6) Applying Multiple Functions

Python Pandas Tutorial Part-15
https://youtu.be/gXaqFozuTbw

Source Code & Short Notes:
https://indianaiproduction.com/pandas-groupby/

Course Playlists-
Python Pandas Tutorial in Hindi:

Machine Learning Beginner to Professional Hands-on Python Course in Hindi:

Python NumPy Tutorial in Hindi:

Python Matplotlib Tutorial in Hindi:

Introduction of Machine Learning:

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Source

### Comment List

• Indian AI Production
January 11, 2021

Here I have a question

1. Find 3rd highest salary empcode wise

Employee={'EMPNO':(111,112,114,115,223,226,228,300,333,345,356,320),'Salary':(4000,6000,2000,8000,2000,1000,3000,500,700,300,200,700),'EMPCODE':('MGF','MGR','MGR','MGR','CLERK','CLERK','CLERK','PEON','PEON','PEON','PEON','PEON')}

Employee

emp_df=pd.DataFrame(Employee)

emp_df

output like below

EMPNO Salary empcode
111 4000 MGR
226 1000 clerk
345 300 peon

• Indian AI Production
January 11, 2021

Sir iloc me mera work nahi kr raha hai length ki error de raha hun

• Indian AI Production
January 11, 2021

Thanks

• Indian AI Production
January 11, 2021

All tutorials are very nice. Please make projects with real data.

• Indian AI Production
January 11, 2021

678 inds = self._get_index(name)
679 if not len(inds):
–> 680 raise KeyError(name)
681
682 return obj.take(inds, axis=self.axis)