Hacker News Reader

can someone explain what's the meaning of this line

> df['y'] = np.log(df['y'])

I have not read the code, but assuming df is a pandas dataframe, it sets the 'y' column to the log of what was previously the 'y' column.

df is a dataframe, which is like a spreadsheet. This line takes the logarithm of the column named 'y' and updates it in place.

thanks. that part i can understand but why do that?