For example I have the following DataFrame:

I want my new column to be based on the following if condition: if (value in df.header1 > than 0, then add 2) and (value in df.header2 is between 2 and 3, then add 5) and (value in df.header3 and < 400, then add 11)

so my new df would look like this:

CodePudding user response：

Based on your logic use:

df['output'] = (df['header.1'].gt(0) * 2  
                df['header.2'].between(2,3) * 5  
                df['header.3'].lt(400) * 11 )

Output:

  A header  header. 1  header. 2  header. 3  output
0    First        111        121        323      13
1   Second        222        212        232      13

I'm not sure how you get to your expected output.

CodePudding user response：

df['condition_head'] = 0
df['condition_head']  = 2 * (df['header.1'] > 0)
df['condition_head']  = 5 * (df['header.2'] > 2 and df['header.2'] < 3)
df['condition_head']  = 11 * (df['header.3'] > 400)

CodePudding user response：

Try using df.apply() and a self defined helper function:

def helper(x):
    ans= 0
    if 0< x['header.1']:
        ans =2
    if 2< x['header.2']<=3:
        ans =5
    if x['header.3']<400:
        ans =11
    return ans
df['contition_head'] = df.apply(helper, axis=1)