Slice/split string Series at various positions

Question

I\'m looking to split a string Series at different points depending on the length of certain substrings:

In [47]: df = pd.DataFrame([\'group9class1\', \'grou         


        

Answer 1

Use a regular expression to split the string

 import re

 regex = re.compile("(class)")
 str="group1class23"
 # this will split the group and the class string by adding a space between them, and using a simple split on space.
 split_string = re.sub(regex, " \\1", str).split(" ")

This will return the array:

 ['group9', 'class23']

So to append two new columns to your DataFrame you can do:

new_cols = [re.sub(regex, " \\1", x).split(" ") for x in df.group_class]
df['group'], df['class'] = zip(*new_cols)

Which results in:

      group_class    group    class
0    group9class1   group9   class1
1   group10class2  group10   class2
2  group11class20  group11  class20