trying to write a script to process some invoices we to make things a bit easier. I have a data frame with 25 x columns and 725k x rows
very simply.
if the value in a column is negative then the value in the same row in column next to it is negative?
for i in solar['Usage']:
if i == -i:
i in solar['Value']
print('-'+ str(i))
i wrote this and it only turns the very bottom number of the entire data frame to a negative.
value Usage
1 23
23 -43
23 34
34 23
if a value in usage is negative then the corresponding value in the same row has to be negative.
cheers for your help.
just starting out.
have looked everywhere.
Try this code:
solar['Usage'] = np.where(solar['value']<0, solar['Usage']*-1, solar['Usage'])
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