Generate a random number for each row dependent on another column Pandas DataFrame

Question

Let it be the following Dataframe of pandas in Python.

Column_1	Column_2	Number
UDKA	1234	5
MAKU	1544	5
POKA	5434	2
UJFK	9104	3

I want to generate a random number column that generates for each row a random number between 1 and its value in the Number column df['Random'] = rand(1, x.Number). Example result:

Column_1	Column_2	Number	Random
UDKA	1234	5	4
MAKU	1544	5	2
POKA	5434	2	1
UJFK	9104	3	2

Obviously Random cannot be strictly greater than Number.

Asked By: Carola

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Source

Answer 1

You can generate a random [0,1) float, then multiply by the upper bound and add 1:

import numpy as np

df['random'] = (df['Number'].mul(np.random.random(size=len(df))).astype(int)
                .add(1)
               )
print(df)

output:

  Column_1  Column_2  Number  random
0     UDKA      1234       5       3
1     MAKU      1544       5       1
2     POKA      5434       2       2
3     UJFK      9104       3       1

edit: clip is actually not needed as random generates a [0,1) number.

Answered By: mozway

Generate a random number for each row dependent on another column Pandas DataFrame

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