How to transform a column containing n-d vectors into multiple columns ? Python

Asked Jun 25 '19 at 13:09

Active Jun 25 '19 at 15:10

Viewed 34 times

Let's assume that I have a pandas dataset and its column A contains n dimensional vectors. I would like to split this column into multiple columns. Basically, my dataset looks like :

A              B       C  
[1,0,2,3,5]   ...     ...
[4,5,3,2,1]   ...     ...
.........................

And I want to have :

A0 A1 A2 A3 A4 B    C
1  0  2  3  5  ...  ...
4  5  3  2  1  ...  ...
.......................

I can solve this problem by using apply function and for loops, I think. But, I imagine that there exists a better (faster, easier to read, ...) way to do so.

Edit: My post gets marked as duplicate. But the given answers have a solution which leads to more rows. I want more columns as shown above. Thanks,

edited Jun 25 '19 at 15:10

asked Jun 25 '19 at 13:09

kakarotto

[here](https://stackoverflow.com/questions/53218931/how-to-unnest-explode-a-column-in-a-pandas-dataframe) is what you are looking for. – Quang Hoang Jun 25 '19 at 13:10
This is not what I want... – kakarotto Jun 25 '19 at 15:04
The solutions in the marked questions actually do more that what you need. You could try modify them to see what works. – Quang Hoang Jun 25 '19 at 15:14

How to transform a column containing n-d vectors into multiple columns ? Python

0 Answers0