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Pandas dataframe intersection with varying groups in python ?

Pandas dataframe intersection with varying groups in python ?

There are many ways to define the filter you're asking for:

 df.groupby('id').filter(lambda x: len(x) > 4)
    # OR
df.groupby('id').filter(lambda x: x['time'].eq(0.4).any())
    # OR
df.groupby('id').filter(lambda x: x['time'].max() == 0.4) 

Output:

  time  id   angle
0    0.0  a1   33.67
2    0.0  c3   42.01
4    0.1  a1   12.15
6    0.1  c3   33.12
7    0.2  a1   65.28
8    0.2  c3   87.43
9    0.3  a1   98.85
10   0.3  c3  100.12
11   0.4  a1   11.11
12   0.4  c3   83.22

63 0
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