Concatenating columns in pandas dataframe-CodePudding

I have a dataset like below (see code):

import pandas as pd

data = {'id':  ['001', '002', '003','004'],
        'address': ["William J. Clare\\n290 Valley Dr.\\nCasper, WY 82604\\nUSA",
                    "1180 Shelard Tower\\nMinneapolis, MN 55426\\nUSA",
                    "William N. Barnard\\n145 S. Durbin\\nCasper, WY 82601\\nUSA",
                    "215 S 11th ST"],
        'locality': [None, None, None,'Laramie'],
        'region': [None, None, None, 'WY'],
        'Zipcode': [None, None, None, '87656'],
        'Country': [None, None, None, 'US']
        }

df = pd.DataFrame(data)

As you can see 4th line in address doesn't have locality,region, zipcode, country but it is there in different column.

I am trying to work with if statement. I want to write an if condition for the dataframe telling if df[locality,region,zipcode, country] not None then concatenate locality, region,zipcode, country into address column with '\\n' seperator

sample output:

address
290 Valley Dr.\\nCasper, WY 82604\\nUSA
1180 Shelard Tower\\nMinneapolis, MN 55426\\nUSA
145 S. Durbin\\nCasper, WY 82601\\nUSA
215 S 11th ST\\nLaramie, WY 87656\\nUS

I have been trying this from yesterday since I am not from a coding back ground any help will be appreciated greatly.

Thanks

CodePudding user response：

The following will do the work

df = df['address'].where(df[['locality', 'region', 'Zipcode', 'Country']].isnull().all(axis=1), df['address']   '\\n'   df['locality']   ', '   df['region']   ' '   df['Zipcode']   '\\n'   df['Country'])

[Out]:

0    William J. Clare\n290 Valley Dr.\nCasper, WY 8...
1       1180 Shelard Tower\nMinneapolis, MN 55426\nUSA
2    William N. Barnard\n145 S. Durbin\nCasper, WY ...
3                 215 S 11th ST\nLaramie, WY 87656\nUS

Notes:

I've adjusted the separator to be more close to the sample output in OP's question. If needed, one can change the ', ' or ' ' with \\n.