Combine lists from several columns into one nested list pandas

Question

Here is my dataframe:

| col1     | col2      | col3     |
----------------------------------
[1,2,3,4] | [1,2,3,4] | [1,2,3,4]

I also have this function:

def joiner(col1,col2,col3):
    snip = []
    snip.append(col1)
    snip.append(col2)
    snip.append(col3)
    return snip

I want to call this on each of the columns and assign it to a new column.

My end goal would be something like this:

| col1     | col2      | col3     | col4
------------------------------------------------------------------
[1,2,3,4] | [1,2,3,4] | [1,2,3,4] | [[1,2,3,4],[1,2,3,4],[1,2,3,4]]

hi, interesting, not sure if this might be of interest stackoverflow.com/questions/41652502/… — jspcal
– jspcal, Commented Oct 26, 2021 at 1:15

ThePyGuy · Accepted Answer · 2021-10-26 01:41:50Z

4

Just .apply list on axis=1, it'll create lists for each rows

>>> df['col4'] = df.apply(list, axis=1)

OUTPUT:

           col1          col2          col3  col4
0  [1, 2, 3, 4]  [1, 2, 3, 4]  [1, 2, 3, 4]  [[1, 2, 3, 4], [1, 2, 3, 4], [1, 2, 3, 4]]

answered Oct 26, 2021 at 1:41

ThePyGuy

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BENY · Accepted Answer · 2021-10-26 01:21:41Z

0

You can just do

df['col'] = df.values.tolist()

answered Oct 26, 2021 at 1:21

BENY

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