Call pandas explode on one column, and divide the other columns accordingly

Question

I have a dataframe like the one below

d = {"to_explode": [[1, 2, 3], [4, 5], [6, 7, 8, 9]], "numbers": [3, 2, 4]}
df = pd.DataFrame(data=d)

    to_explode      numbers
0   [1, 2, 3]       3
1   [4, 5]          4
2   [6, 7, 8, 9]    12

I want to call pd.explode on the list-like column, but I want to divide the data in the other column accordingly.

In this example, the values in the numbers column for the first row would be replaced with 1 – i.e. 3 / 3 (the corresponding number of items in the to_explode column).

How would I do this please?

Asked By: travelsandbooks

||

Source

Answer 1

You need to perform the computation (get the list length with str.len), then explode:

out = (df
 .assign(numbers=df['numbers'].div(df['to_explode'].str.len()))
 .explode('to_explode')
)

output:

  to_explode  numbers
0          1      1.0
0          2      1.0
0          3      1.0
1          4      1.0
1          5      1.0
2          6      1.0
2          7      1.0
2          8      1.0
2          9      1.0

Answered By: mozway

Call pandas explode on one column, and divide the other columns accordingly

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