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DS-1000 / 199 / I have a data frame with one (string) column and I'd like to split it into two…

Problem

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Problem:
I have a data frame with one (string) column and I'd like to split it into two (string) columns, with one column header as 'fips' and the other 'row'


My dataframe df looks like this:


row
0 00000 UNITED STATES
1 01000 ALABAMA
2 01001 Autauga County, AL
3 01003 Baldwin County, AL
4 01005 Barbour County, AL
I do not know how to use df.row.str[:] to achieve my goal of splitting the row cell. I can use df['fips'] = hello to add a new column and populate it with hello. Any ideas?


fips row
0 00000 UNITED STATES
1 01000 ALABAMA
2 01001 Autauga County, AL
3 01003 Baldwin County, AL
4 01005 Barbour County, AL






A:
<code>
import pandas as pd


df = pd.DataFrame({'row': ['00000 UNITED STATES', '01000 ALABAMA',
                           '01001 Autauga County, AL', '01003 Baldwin County, AL',
                           '01005 Barbour County, AL']})
</code>
df = ... # put solution in this variable
BEGIN SOLUTION
<code>

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Source and history

upstream_id / Original problem ID: 199
task_id: 33c5eaff-a523-5c5b-944e-e82488a54ae8
task_key: default--test--199
task_revision_id: 2
config / split: default / test

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