I'm effectively trying to do a text-to-columns (from MS Excel) action, but in Pandas.
I have a dataframe that contains values like: 1_1, 2_1, 3_1, and I only want to take the values to the right of the underscore. I figured out how to split the string, which gives me a list of the broken up string, but I don't know how to break that out into different dataframe columns.
Here is my code:
import pandas as pd test = pd.DataFrame(['1_1','2_1','3_1']) test.columns = ['values'] test = test['values'].str.split('_')
I get something like: [1, 1], [2, 1], [3, 1].
What I'm trying to get is two separate columns:
col1: 1, 2, 3 col2: 1, 1 ,1
Thoughts? Thanks in advance for your help
expand=True when doing the
split to get multiple columns:
If there's only one underscore, and you only care about the value to the right, you could use: