I want to break this column into three components: city, state, zip. I was considering something like this: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.Series.str.split.html . However, I think the column needs to be a series first? Any help would be great.
import pandas as pd
suite_list
hospital_list =pd.DataFrame(suite_list, columns=['name', 'address_1', 'address_2', 'city_state_zip', 'phone'])
city_state_zip
example = Sahuarita, AZ, 85629. I want 'Sahuarite', 'AZ,' '85629' to show up as individual columns in the DataFrame.
You can try something like this,
df = pd.DataFrame({'Name' : ('john','doe','smith'), 'address_1' : (105,305,505), 'address_2' : ('path','lane','route'),\
'city_state_zip': ('Sahuarita, AZ, 85629', 'Sahuarita1, AZ1, 75629', 'Sahuarita2, AZ2, 65629')})
df
Name address_1 address_2 city_state_zip
0 john 105 path Sahuarita, AZ, 85629
1 doe 305 lane Sahuarita1, AZ1, 75629
2 smith 505 route Sahuarita2, AZ2, 65629
and then try,
df["col1"],df["col2"],df["col3"] = zip(*df["city_state_zip"].str.split().tolist())
the output df
will be
Name address_1 address_2 city_state_zip col1 col2 col3
0 john 105 path Sahuarita, AZ,85629 Sahuarita AZ 85629
1 doe 3 05 lane Sahuarita1, AZ1,5629 Sahuarita1 AZ1 75629
2 smith 505 route Sahuarita2, AZ2,65629 Sahuarita2 AZ2 65629
This should give what are you looking for.
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