Normalize column: sum to 1 [duplicate]

Question

I have a dataframe:

  Time   Weight 
   1       4 
   2       2
   3       1
   4       7

How can I normalize the weight column, so that the sum of the values in the weight column are equal to 1 ?

Answer 1

You can divide each values in the Weight column by sum of all the values in the Weight column,

df['Weight']/df['Weight'].sum()

0    0.285714
1    0.142857
2    0.071429
3    0.500000
Name: Weight, dtype: float64