Pandas在数据帧内删除指定字符后的部分字符串

Question

I would like a simple mehtod to delete parts of a string after a specified character inside a dataframe. Here is a simplified example:

df:

   obs         a  b  c  d
0    1   1-23-12  1  2  3
1    2  12-23-13  4  5  5
2    3  21-23-14  4  5  5

I would like to remove the parts in the a column after the first - sign, my expected output is:

newdf:

   obs   a  b  c  d
0    1   1  1  2  3
1    2  12  4  5  5
2    3  21  4  5  5

Answer 1

You can reformat the values by passing a reformatting function into the apply method as follows:

from StringIO import StringIO
import pandas as pd

data = """   obs  a  b  c  d
1   1-23-12  1  2  3
2  12-23-13  4  5  5
3  21-23-14  4  5  5"""

# Build dataframe from data
df = pd.read_table(StringIO(data), sep='  ')

# Reformat values for column a using an unnamed lambda function
df['a'] = df['a'].apply(lambda x: x.split('-')[0])

This gives you your desired result:

   obs   a  b  c  d
0    1   1  1  2  3
1    2  12  4  5  5
2    3  21  4  5  5