Pandas delete parts of string after specified character inside a dataframe
pandas, python, string
Solution
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
Problem
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 ```