Hi, When im working with some big dataframes and I need to create some columns based on functions. So i have some code like this

Def function(row): function

And then I run the function on the df as

df[‘new column’] = df.apply(function, axis=1)

But I do this with 10 or more columns/functions at time. I don’t think this is efficient because each time a column is created it had to parce the entire data frame. There’s a way to create all the columns at the same time while parsing the rows only once?

Thanks for any help.

  • driving_croonerOP
    2·
    1 year ago

    6M rows (it grows by 35K rows at month aprox), 6 columns, after the function it’s go to 17 columns and then finally to 9 where I starts to processes. It currently took 8min the pd.read_cvs() and 20min the creation of the columns. I would like to reduce that 20 min process.