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test.py
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test.py
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import unittest
import pandas as pd
from sensplit import dataframe_splitter
from pandas.util.testing import assert_frame_equal
class DataFrameSplitterTest(unittest.TestCase):
def __init__(self, *args, **kwargs):
super(DataFrameSplitterTest, self).__init__(*args, **kwargs)
# self.dataset = np.repeat(np.arange(21).reshape(3, 7),4, axis=0)
# np.random.RandomState(0).shuffle(self.dataset)
self.dataset = pd.DataFrame([
[ 7, 8, 9, 10, 11, 12, 13],
[14, 15, 16, 17, 18, 19, 20],
[ 7, 8, 9, 10, 11, 12, 13],
[14, 15, 16, 17, 18, 19, 20],
[ 0, 1, 2, 3, 4, 5, 6],
[14, 15, 16, 17, 18, 19, 20],
[ 0, 1, 2, 3, 4, 5, 6],
[ 7, 8, 9, 10, 11, 12, 13],
[14, 15, 16, 17, 18, 19, 20],
[ 0, 1, 2, 3, 4, 5, 6],
[ 0, 1, 2, 3, 4, 5, 6],
[ 7, 8, 9, 10, 11, 12, 13]
], columns=list('ABCDEFG'))
self.trial_train_data = pd.DataFrame([
[7, 8, 9, 10, 11, 12, 13],
[7, 8, 9, 10, 11, 12, 13],
[7, 8, 9, 10, 11, 12, 13],
[7, 8, 9, 10, 11, 12, 13],
[14, 15, 16, 17, 18, 19, 20],
[14, 15, 16, 17, 18, 19, 20],
[14, 15, 16, 17, 18, 19, 20],
[14, 15, 16, 17, 18, 19, 20]
],
columns=list('ABCDEFG'))
self.trial_test_data = pd.DataFrame([
[0, 1, 2, 3, 4, 5, 6],
[0, 1, 2, 3, 4, 5, 6],
[0, 1, 2, 3, 4, 5, 6],
[0, 1, 2, 3, 4, 5, 6]],
columns=list('ABCDEFG'))
self.ratio_train_data = pd.DataFrame([
[0, 1, 2, 3, 4, 5, 6],
[0, 1, 2, 3, 4, 5, 6],
[0, 1, 2, 3, 4, 5, 6],
[7, 8, 9, 10, 11, 12, 13],
[7, 8, 9, 10, 11, 12, 13],
[7, 8, 9, 10, 11, 12, 13],
[14, 15, 16, 17, 18, 19, 20],
[14, 15, 16, 17, 18, 19, 20],
[14, 15, 16, 17, 18, 19, 20]],
columns=list('ABCDEFG'))
self.ratio_test_data = pd.DataFrame([
[0, 1, 2, 3, 4, 5, 6],
[7, 8, 9, 10, 11, 12, 13],
[14, 15, 16, 17, 18, 19, 20]],
columns=list('ABCDEFG'))
def test_trials(self):
"""
Test 'trials' setting.
"""
df_splitter = dataframe_splitter.DataFrameSplitter(method="trials")
train_data, test_data = df_splitter.train_test_split(self.dataset,
["E", "F"],
trial_col="F",
train_trials=[12,19],
verbose=0)
train_data.reset_index(drop=True, inplace=True)
test_data.reset_index(drop=True, inplace=True)
assert_frame_equal(train_data, self.trial_train_data, check_dtype=False)
assert_frame_equal(test_data, self.trial_test_data, check_dtype=False)
def test_ratio(self):
"""
Test 'ratio' setting.
"""
"""
"""
df_splitter = dataframe_splitter.DataFrameSplitter(method="ratio")
train_data, test_data = df_splitter.train_test_split(self.dataset,
["E", "F"],
train_ratio=.80,
verbose=0)
train_data.reset_index(drop=True, inplace=True)
test_data.reset_index(drop=True, inplace=True)
assert_frame_equal(train_data, self.ratio_train_data, check_dtype=False)
assert_frame_equal(test_data, self.ratio_test_data, check_dtype=False)
if __name__ == '__main__':
unittest.main()