Consider the following DataFrame.
n v1 v2 v3 v4 v5
0 1 2 3 4 5
1 1 2 3 4 5
2 1 2 3 4 5
For each row, I want to add the values of v2, v3, v4 to a list and multiply the values in the list with v5 and put the result into a new column v6 such that I end up with a DataFrame like this:
n v1 v6
0 1 [10, 15, 20]
1 1 [10, 15, 20]
2 1 [10, 15, 20]
How can I achieve this in Pandas?
You can do it in one line like this:
>>> df['v6'] = df[['v2', 'v3', 'v4']].mul(df['v5'], axis=0).values.tolist()
>>> df
v1 v2 v3 v4 v5 v6
0 1 2 3 4 5 [10, 15, 20]
1 1 2 3 4 5 [10, 15, 20]
2 1 2 3 4 5 [10, 15, 20]
This does the relevant multiplication of columns, puts the v2, v3 and v4 values out to a list of lists (row by row) and creates the new column v6.