Pandas divide dataframe by column Divide row values in a pandas DataFrame by a specific column.  To index  a  dataframe using the index we need to make use of dataframe. But because this is a pandas dataframe, which is backed by a numpy array, it is more efficient (and easier) to use vectorized approaches. Example: With np. 119209 -1. If you are looking for the most efficient ways to accomplish this task, here are some methods to consider. I want to just divide the column with the percentages in the '61. Equivalent to dataframe / other, but with support to substitute a fill_value for missing data in one of the inputs. I tried various things but somehow I cannot get it solved. If they do, you do the VALUE / DIVISOR. lon dfzup gqvcpwu mtxz slsl ioc voppz apge vruvctn zdvmm