Make a negative number positive python

Question

I have one column df with mix of positive and negative number, as mentioned below:

Value
100
564
-789
3637
-999

I want to make a new df by adding the number 3600 to the ONLY negative value and my new df should have values like:

Please help me with the python code for this.

`np.where(df['Value'].lt(0), df['Value'].add(3600), df['Value'])` lots of ways to do this, not sure it warrants a question as its basic if/where filtering — Umar.H, Jul 02 '20 at 21:21

score 1 · Accepted Answer · answered Jul 02 '20 at 21:20

1

df.loc[df['a']<0, 'a'] += 3600

answered Jul 02 '20 at 21:20

warped

score 1 · Answer 2 · answered Jul 02 '20 at 21:21

1

It could be written as follow:

import numpy as np
x=np.array([100,564, -789, 3637, -999])
x[x < 0] = x[x < 0] + 3600
    
print(x)

Good luck

answered Jul 02 '20 at 21:21

Pygin

score 0 · Answer 3 · answered Jul 02 '20 at 21:20

0

Here is how:

df['Value'] = [n+3600 if n < 0 else n for n in df['Value']]

answered Jul 02 '20 at 21:20

Red

score -1 · Answer 4 · answered Jul 02 '20 at 21:18

To accomplish this we can loop through the list for each number and if the number is less than 0 then add in 3600. Here is the code for this:

values = [100, 564, -789, 3637, -999]
for value in values:
  if value < 0:
    value += 3600

This is the code. To print out the result, just run:

print(values)

4 Answers4