If columns not null, add column name to new column

user_15128170 0
Viewed 53

I have a df:

c1   c2   c3 
 A   None  A
 B   A    None
 C   None None
 None None None

I am trying to add a column which contains the column names 'c1-c3' if the respective columns are not null

So the resulting df should be:

c1   c2   c3   c4
 A   None  A    c1|c3
 B   A    None  c1|c2
 C   None None  c1
 None None None None

Constructor

data = {'c1': ['A', 'B', 'C', None],
        'c2': [None, 'A', None, None],
        'c3:':['A',None,None,None]}

df = pd.DataFrame(data)
pandas dataframe python
3 Answers

So in your case do dot

df['new'] = df.notna().dot(df.columns+'|').str[:-1]
Out[151]: 
0     c1|c3
1     c1|c2
2        c1
3          
dtype: object
user_79645270

I think this will do what you're asking:

import pandas as pd
data = {'c1': ['A', 'B', 'C', None],
        'c2': [None, 'A', None, None],
        'c3':['A',None,None,None]}

df = pd.DataFrame(data)

df['c4'] = df.apply(lambda x: [df.columns[i] for i in range(len(df.columns)) if x[df.columns[i]] is not None], axis=1).str.join('|')
df.loc[df['c4'] == '', 'c4'] = None
print(df)

Output:

     c1    c2    c3     c4
0     A  None     A  c1|c3
1     B     A  None  c1|c2
2     C  None  None     c1
3  None  None  None   None
user_181354540

Not sure if it is the most elegant way, but it will work:

import re

def new_col(df):
    col_value =''
    if df['c1'] is None:
        col_value = df_t.columns[0]
    if df['c2'] is None:
        col_value =col_value + '|' + df_t.columns[1]
    if df['c3'] is None:
        col_value =col_value + '|' + df_t.columns[2]
    col_value = re.sub('^\|','',col_value )
    return col_value
    
df['c4'] = df.apply(new_col,axis = 1)
user_172749580
Related