Highest count in a data frame pandas

Question

I'm trying to extract 10 columns from a csv file with pandas in Google colab so I'm using this line firstten = data.iloc[:, 0:10] # first ten columns of data frame with all rows

After that I used firstten.count() to count the number of values in each column so after that what I want to know is that if in one of those columns have 80 different values and the others are lower I want to know from this ten columns the highest number of counts for that, I used the max but it didn't work some help with this please I don't need to know which column just the number in some pieces of data will be repeated 80 like 4 times so also to have this in mind with the solution. Also I thought about using the sort function but maybe there is another option.

Thanks for your help this is the output that I would like to get: