find duplicated rows with respect to multiple columns pandas
df = df[df.duplicated(subset=['val1','val2'], keep=False)]
print (df)
id val1 val2
0 1 1.1 2.2
1 1 1.1 2.2
3 3 8.8 6.2
4 4 1.1 2.2
5 5 8.8 6.2find duplicated rows with respect to multiple columns pandas
df = df[df.duplicated(subset=['val1','val2'], keep=False)]
print (df)
id val1 val2
0 1 1.1 2.2
1 1 1.1 2.2
3 3 8.8 6.2
4 4 1.1 2.2
5 5 8.8 6.2how to duplicate a row in python
import pandas as pd
In [603]: df = pd.DataFrame({'col1':list("abc"),'col2':range(3)},index = range(3))
In [604]: df
Out[604]:
col1 col2
0 a 0
1 b 1
2 c 2
In [605]: pd.concat([df]*3, ignore_index=True) # Ignores the index
Out[605]:
col1 col2
0 a 0
1 b 1
2 c 2
3 a 0
4 b 1
5 c 2
6 a 0
7 b 1
8 c 2
In [606]: pd.concat([df]*3)
Out[606]:
col1 col2
0 a 0
1 b 1
2 c 2
0 a 0
1 b 1
2 c 2
0 a 0
1 b 1
2 c 2Copyright © 2021 Codeinu
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