使用 Python Pandas 将一列序列号拆分为多个不同的列

Question

For example a table contain product names, serial numbers, and product descriptions.

One of the serial numbers is the following: 12A-BCD3456-7899.

How do you separate this serial number into 6 different columns of 12, A, BCD, 34, 56, and 7899 by using Python Pandas given that the amount and order of letters and numbers are consistent? eg first 2 of the serial number are always numbers (12), then a single letter(A), followed by "-", then 3 letters (BCD), 4 numbers(3456), "-", and closed by 4 numbers (7899).

The multiple columns should be added in between the product name and the product description or at the end of the table without messing up the table itself.

Answer 1

df['A'] = df['serial_nmber'].str[0:2]
df['B'] = df['serial_nmber'].str[2]
df['C'] = df['serial_nmber'].str[4:7]
df['D'] = df['serial_nmber'].str[7:9]
df['E'] = df['serial_nmber'].str[9:11]
df['F'] = df['serial_nmber'].str[12:16]

Answer 2

You can try this:

import pandas as pd
    
# creating dataframe with copy value for demo purpose
df = pd.DataFrame({'serial':['12A-BCD3456-7899']*10}) 

def processing(row):
  '''adding '-' to the serial value to make easy the split of string'''
  s='-'.join([row.serial[:2],row.serial[2:7], row.serial[7:9],row.serial[9:]])
  return s

# process the 'serial' value, split and create new column
ndf = df.apply(processing,axis=1).str.split('-', expand=True)

ndf['serial']=df['serial'] # add the 'serial' column to the new dataframe
ndf

Output : before processing

    serial
0   12A-BCD3456-7899
1   12A-BCD3456-7899
2   12A-BCD3456-7899
3   12A-BCD3456-7899
4   12A-BCD3456-7899
5   12A-BCD3456-7899
6   12A-BCD3456-7899
7   12A-BCD3456-7899
8   12A-BCD3456-7899
9   12A-BCD3456-7899

Output : after processing

    0   1   2   3   4   5       serial
0   12  A   BCD 34  56  7899    12A-BCD3456-7899
1   12  A   BCD 34  56  7899    12A-BCD3456-7899
2   12  A   BCD 34  56  7899    12A-BCD3456-7899
3   12  A   BCD 34  56  7899    12A-BCD3456-7899
4   12  A   BCD 34  56  7899    12A-BCD3456-7899
5   12  A   BCD 34  56  7899    12A-BCD3456-7899
6   12  A   BCD 34  56  7899    12A-BCD3456-7899
7   12  A   BCD 34  56  7899    12A-BCD3456-7899
8   12  A   BCD 34  56  7899    12A-BCD3456-7899
9   12  A   BCD 34  56  7899    12A-BCD3456-7899