Filter rows with common entry in two columns

I have the following mock data:

df <- data.frame(Col1=c("cat","dog","man","man","cat","cat"),
                 Col2=c("cat","dog","dog","dog","dog","cat"))

I want to filter out the rows which have the same name in both columns. In other words, I want to be left with unique names across each row.

So in my example, I will be left with an output like:

Col1 Col2
man dog
man dog
cat dog

Is there a tidyverse solution for this?

>Solution :

We can use

library(dplyr)
df %>% 
  filter(Col1 != Col2)
  Col1 Col2
1  man  dog
2  man  dog
3  cat  dog

Or using data.table

library(data.table)
setDT(df)[Col1 != Col2]