find duplicated rows with respect to multiple columns pandas

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Cadby
05 Jul 2019
1df = df[df.duplicated(subset=['val1','val2'], keep=False)]
2print (df)
3   id  val1  val2
40   1   1.1   2.2
51   1   1.1   2.2
63   3   8.8   6.2
74   4   1.1   2.2
85   5   8.8   6.2
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