[FIXED] create a dictionary of array for each cell within dataframe

Issue

i have a dataframe with two columns of array.

Column 1
0        [254.0, 254.0, 254.0, 254.0, 254.0]
1        [254.0, 254.0, 254.0, 254.0, 254.0]
2        [254.0, 254.0, 254.0, 254.0, 254.0]
3        [254.0, 254.0, 254.0, 254.0, 254.0]
4        [254.0, 254.0, 254.0, 254.0, 254.0]

Column 2
0      [3.0, 4.0, 7.0, 1.0, 5.0]  
1      [3.0, 4.0, 7.0, 1.0, 5.0]  
2      [3.0, 4.0, 7.0, 1.0, 5.0]  
3      [3.0, 4.0, 7.0, 1.0, 5.0]  
4      [3.0, 4.0, 7.0, 1.0, 5.0] 

I am trying to create a third column where each cell looks like a dictionary of arrays. It would look like the following:

Column 3
0        {0:[254.0,3], 1:[254.0,4], 2:[254.0,7], 3:[254.0,1], 4:[254.0,5]}
1        {0:[254.0,3], 1:[254.0,4], 2:[254.0,7], 3:[254.0,1], 4:[254.0,5]}
2        {0:[254.0,3], 1:[254.0,4], 2:[254.0,7], 3:[254.0,1], 4:[254.0,5]}
3        {0:[254.0,3], 1:[254.0,4], 2:[254.0,7], 3:[254.0,1], 4:[254.0,5]}
4        {0:[254.0,3], 1:[254.0,4], 2:[254.0,7], 3:[254.0,1], 4:[254.0,5]}

how do i do this ?

Solution

How about:

df['Column 3'] = df.apply(lambda x: dict(enumerate(zip(x['Column 1'], x['Column 2']))), axis=1)

Answered By - Quang Hoang