Python Pandas从部分字符串匹配中填充列

Question

I have a dataframe like below, and I need to create a new column Block with either the value 1 or 2 in it based on a partial string match in the column Program Number where it says _block_1 or _block_2. I've been trying if statements and .str.contains but can't get it to work. How would you do this?

148 0209-3SP_block_1    ['g76p010060q00250r.0005'   'JEBD0507160 REV A' CHNCIII
149 0209-3SP_block_2    ['g76x.3761z-.500p03067q03067f.05'  'JEBD0507160 REV A' CHNC III
150 0209-5SP_block_1    ['g76p020060q00250r.0005'   'JEBD0507160 REV A' CHNC III
151 0209-5SP_block_2    ['g76x.3767z-.48p03067q03067f.05'   'JEBD0507160 REV A' CHNC III
152 0210-3SP_block_1    ['g76p010060q00250r.0005'   'JEBD0507160 REV A' CHNC III

Answer 1

You could use the method where from numpy :

import numpy as np

df['Block'] = np.where(
    df['Machine'].str.contains('_block_1'),1,
    np.where(df['Machine'].str.contains('_block_2'),2,0)
)

Otherwise, assuming all the strings have the same length:

df['Block'] = df['Machine'].str[15:].astype(int)