I need to set the value of one column based on the value of another in a Pandas dataframe. This is the logic:
if df[\'c1\'] == \'Value\': df[\'c2\'] = 10
You can use np.where() to set values based on a specified condition:
#df c1 c2 c3 0 4 2 1 1 8 7 9 2 1 5 8 3 3 3 5 4 3 6 8
Now change values (or set) in column ['c2'] based on your condition.
['c2']
df['c2'] = np.where(df.c1 == 8,'X', df.c3) c1 c3 c4 0 4 1 1 1 8 9 X 2 1 8 8 3 3 5 5 4 3 8 8