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Krishnayan By Kajal Oza In Gujarati Free Download

Items 1 – 24 of 91 – Gujarati Books written by Kaajal Oza Vaidya – Buy Online, Free Shipping, Worldwide Delivery, Best Discount and offers available. View this and other pins on the Books board by Kaajal Oza (Prakash).
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Items 1 – 24 of 91 – Gujarati Books written by Kaajal Oza Vaidya – Buy Online, Free Shipping, Worldwide Delivery, Best Discount and offers available.
View this and other pins on the Books board by Kaajal Oza (Prakash).
Items 1 – 24 of 91 – Gujarati Books written by Kaajal Oza Vaidya – Buy Online, Free Shipping, Worldwide Delivery, Best Discount and offers available

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Python pandas groupby and select

I have the following data frame:
df = pd.DataFrame({‘user’ : [‘a’,’a’,’a’,’a’,’a’,’a’,’b’,’b’,’b’,’b’,’b’,’b’,’b’,’b’,’b’,’b’,’b’,’b’],
‘id’ : [‘1′,’2′,’3′,’4′,’5′,’6′,’1′,’2′,’3′,’4′,’5′,’6′,’1′,’2′,’3′,’4′,’5′,’6′,’1′,’2′,’3′,’4’],
‘age’ : [2,3,4,5,3,5,7,8,9,10,6,8,11,2,3,4,5,3,5,7,8],
‘name’ : [‘aa’,’aa’,’bb’,’aa’,’aa’,’aa’,’aa’,’aa’,’aa’,’bb’,’bb’,’aa’,’aa’,’aa’,’aa’,’aa’,’aa’,’aa’,’bb’,’bb’,’bb’],
‘time’: [‘aaa’,’bbb’,’aaa’,’aaa’,’aaa’,’aaa’,’bbb’,’aaa’,’bbb’,’aaa’,’aaa’,’aaa’,’aaa’,’aaa’,’aaa’,’aaa’,’bbb’,’bbb’,’bbb’,’bbb’]})

Need to keep just the rows with name aaa, bbb, because in this example all other rows belonging to users a and b have the same values for the attributes ‘id’ and ‘age’
I tryed the following:
from itertools import groupby
df = df.sort_values([‘user
c6a93da74d

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