Created
October 25, 2018 01:53
-
-
Save mohammedri/74867eef9bbfe212dee420267158b5fa to your computer and use it in GitHub Desktop.
A python to split a pandas dataset into a test sample and a training sample given a ratio
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| import numpy as np | |
| import pandas as pd | |
| def load_data(path): | |
| return pd.read_csv(csv_path) | |
| def split_dataset_into_train_test(data, test_ratio): | |
| shuffler = np.random.permutation(len(data)) | |
| test_set_size = int(len(data)*test_ratio) | |
| test_indices = shuffler[:test_set_size] | |
| train_indices = shuffler[test_set_size:] | |
| return data.iloc[train_indices], data.iloc[test_indices] | |
| train_set, test_set = split_dataset_into_train_test(load_data("sample.csv"), 0.2) | |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment