Pandas - remove numbers from start of string in series

Question

I\'ve got a series of addresses and would like a series with just the street name. The only catch is some of the addresses don\'t have a house number, and some do.

Answer 1

str.replace('\d+\s', '') is what I came up with:

df =  pd.DataFrame({'IDx': ['11000 SOUTH PARK',
                        '20314 BRAKER LANE',
                        '203 3RD ST',
                        'BIRMINGHAM PARK',
                        'E 12TH']})

df
Out[126]: 
                 IDx
0   11000 SOUTH PARK
1  20314 BRAKER LANE
2         203 3RD ST
3    BIRMINGHAM PARK
4             E 12TH

df.IDx = df.IDx.str.replace('\d+\s', '')   

df
Out[128]: 
               IDx
0       SOUTH PARK
1      BRAKER LANE
2           3RD ST
3  BIRMINGHAM PARK
4           E 12TH

Answer 2

You can use str.replace with regex ^\d+\s+ to remove leading digits:

s.str.replace('^\d+\s+', '')

Out[491]:
0         SOUTH PARK
1        BRAKER LANE
2             3RD ST
3    BIRMINGHAM PARK
4             E 12TH
Name: Idx, dtype: object