Pandas DataFrame.apply: create new column with data from two columns

Question

I have a DataFrame (df) like this:

PointID  Time                 geojson
----     ----                 ----     
36F      2016-04-01T03:52:30  {\'type\': \'P         


        

Answer 1

You need DataFrame.apply with axis=1 for processing by rows:

df['new'] = df.apply(lambda x: inject_time(x['geojson'], x['Time']), axis=1)

#temporary display long string in column
with pd.option_context('display.max_colwidth', 100):
    print (df['new'])

0    {'type': 'Point', 'coordinates': [3.961389, 43.123, '2016-04-01T03:52:30']}
1    {'type': 'Point', 'coordinates': [3.543234, 43.789, '2016-04-01T03:52:50']}
Name: new, dtype: object