Error: float object has no attribute notnull

Question

I have a dataframe:

  a     b     c
0 nan   Y     nan
1  23   N      3
2 nan   N      2
3  44   Y     nan

I wish to have this output:

Answer 1

You can try

df['d'] = np.where((df.b == 'N') & (pd.notnull(df.c)), df.a*df.c, np.where(pd.notnull(df.a), df.a, np.nan))


    a       b   c      d
0   NaN     Y   NaN    NaN
1   23.0    N   3.0    69.0
2   NaN     N   2.0    NaN
3   44.0    Y   NaN    44.0

See the documentation for pandas notnull, in your current code, you just need to change series.notnull to pd.notnull(series) for it to work. Though np.where should be more efficient

def f4(row):
    if row['a']==np.nan:
        return np.nan
    elif (row['b']=="N") & (pd.notnull(row.c)):
        return row['a']*row['c']
    else:
        return row['a']
df['d']=df.apply(f4,axis=1)