Python Pandas Part-16 | Pandas GroupBy Function in Hindi | Machine Learning Course #01.02.16
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‘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:
https://www.youtube.com/edit?o=U&video_id=pakqNsPITSg
Machine Learning Beginner to Professional Hands-on Python Course in Hindi:
https://www.youtube.com/playlist?list=PLfP3JxW-T70FKkXT9VEeRChKvF4EUInWj
Python NumPy Tutorial in Hindi:
https://www.youtube.com/playlist?list=PLfP3JxW-T70FKkXT9VEeRChKvF4EUInWj
Python Matplotlib Tutorial in Hindi:
https://www.youtube.com/playlist?list=PLfP3JxW-T70EfCmI71WF29Q1sDN8WMp4c
Introduction of Machine Learning:
https://www.youtube.com/watch?v=8ffTrNyMWOg&list=PLfP3JxW-T70H7Nviq40t1SZdAipVURZ-v
For more information:
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Source
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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
Sir iloc me mera work nahi kr raha hai length ki error de raha hun
Please explain in deeply
Thanks
All tutorials are very nice. Please make projects with real data.
678 inds = self._get_index(name)
679 if not len(inds):
–> 680 raise KeyError(name)
681
682 return obj.take(inds, axis=self.axis)