Regards,
Forgive me if this question appears to be a duplicate, but I couldn't find an answer to existing questions that matches my exact requirements:
I would like to use the row values from other columns to produce the row value of a column. To do this, I have produced a helper function, "f":
def f(row):
if row['column1'] == 3:
val = 0
if row['column2'] <= 5:
if row['column3'] <= 4:
if row['column4'] >= 3:
val = 3
if row['column5'] == 2:
val = 5
if row['column6'] == 0:
if row['column7'] <= 0:
if row['column8'] <= -1:
val = 4
else:
val = 9
return val
I applied my helper function to my dataframe as follows:
df['column12'] = df.apply(f, axis=1)
This produced the error code:
UnboundLocalError: ("local variable 'val' referenced before assignment", 'occurred at index 0')
Where am I going wrong?
Aucun commentaire:
Enregistrer un commentaire