How to split data into trainset and testset randomly?

Question

I have a large dataset and want to split it into training(50%) and testing set(50%).

Say I have 100 examples stored the input file, each line contains one example.

Answer 1

You can try this approach

import pandas
import sklearn
csv = pandas.read_csv('data.csv')
train, test = sklearn.cross_validation.train_test_split(csv, train_size = 0.5)

UPDATE: train_test_split was moved to model_selection so the current way (scikit-learn 0.22.2) to do it is this:

import pandas
import sklearn
csv = pandas.read_csv('data.csv')
train, test = sklearn.model_selection.train_test_split(csv, train_size = 0.5)