Pandas groupby: checking gaps within a group

Question

This is my data frame, If there is a gap in Year for a particular name, Gap column should be True else False.

Name    Year       Gap
A       2008      False
A       2008      False
A       2009      True
A       2011      False
B       2010      True 
B       2013      False

Asked By: vicky

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Source

Answer 1

You can do:

df['Gap'] = df.groupby('Name')['Year'].diff(-1).lt(-1)

Output:

0    False
1    False
2     True
3    False
4     True
5    False
Name: Year, dtype: bool

Answered By: Quang Hoang

Pandas groupby: checking gaps within a group

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