How to find if the values in two columns appear in reverse in a pandas dataframe

Question

I am pretty new to this, but I’m trying to find if the values in column a and column b appear in reverse order or (another way to say it) where the values are swapped, anywhere else in the columns – if so write 1 in column c, if not write 0 in column c.

Expected output:

column_a  column_b  column_c

1. a      b        1
2. b      a        1
3. d      a        0

Asked By: max

||

Source

Answer 1

You can using np.sort then pass the result to duplicated

df['New']=pd.DataFrame(np.sort(df[['column_a','column_b']])).duplicated(keep=False).astype(int)
df
Out[1292]: 
  column_a column_b  column_c  New
0        a        b         1    1
1        b        a         1    1
2        d        a         0    0

Answered By: BENY

Answer 2

I’m new to python, and although it helped me a lot. In my data frame lot of duplicate values are there so I want to assign different values in the third column. Can you please help me with that

Column_a, Column_b, New

```
   7.        1
```
```
   6.        1
```
```
  10.       2
```
```
  11.       2
```
```
  15.       3
```
```
  12.       3
```

I want this type of output

Thanks and Regards

Answered By: Manik Kumar

How to find if the values in two columns appear in reverse in a pandas dataframe

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