replace all the columns from import csv file using python

Question

How to replace all the series of column value separated by ;in the CSV file?

column A column B
       1       3;5
       4       3;7;11;14
       7       5;7;13;14

How to replace the column B by 3 = HQ3 , 5 = HQT5 , 7 = HTS7 , 11 = HS11 , 13 = BST13 and 14 = HFS14 ?

Answer 1

You can split the column with .str.split + explode , replace the values with replace , and join it back together with groupby(level=0) + agg(list) + .str.join :

d = {
    '3': 'HQ3',
    '5': 'HQT5',
    '7': 'HTS7',
    '11': 'HS11',
    '13': 'BST13',
    '14': 'HFS14'
}

df['columnB'] = df['columnB'].str.split(';').explode().replace(d).groupby(level=0).agg(list).str.join(';')

Output:

>>> df
   columnA                columnB
0        1               HQ3;HQT5
1        4    HQ3;HTS7;HS11;HFS14
2        7  HQT5;HTS7;BST13;HFS14