如何删除熊猫数据框列中数值之前的字符串？

Question

I have a pandas dataframe column with strings that looks like this:

Column A

text moretext 251 St. Louis Apt.54
123 Orange Drive
sometext somemoretext 171 Poplar street
textnew 11th street 
77 yorkshire avenue

I want to remove the text before the numeric values ie I want the output to be something like this:

Column A

251 St. Louis Apt.54
123 Orange Drive
171 Poplar street
11th street 
77 yorkshire avenue

Answer 1

Let's use regex and extract :

df['Column A'] = df['Column A'].str.extract(r'(\d+.+$)')

Output:

0    251 St. Louis Apt.54
1        123 Orange Drive
2       171 Poplar street
3             11th street
4     77 yorkshire avenue
Name: Column A, dtype: object

The regex states get a group of characters start with a number of any length and continue until the end of the line.

Answer 2

This function is finding the index of the first numerical character in the string and selecting the remaining part of the string. This function is then applied to each value of the column using apply function

def change(string):
    for i, c in enumerate(string):
         if c.isdigit():
            idx = i
            break
    return string[idx:]

data[A] = data[A].apply(change, axis = 0)