Reputation: 471
I have a dataframe 'df1' with three columns: 'Name', 'Age', and 'Number' and more than hundreds of rows. I would like to create two new dataframes: 'df2' presenting 'Name' rows with the highest five 'Age' values and 'df3' presenting 'Name' rows with the highest five 'Number' values. I'm thinking doing some .sort() or .max() function but I'm not very sure. Can anyone help me with this please? Thanks in advance!
Upvotes: 0
Views: 155
Reputation: 569
You can use the pandas nlargest
function like follows:
df2 = df.nlargest(5, 'Age')
df3 = df.nlargest(5, 'Number')
Just make sure the columns are numeric type.
Upvotes: 3