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| 1 | +import pandas as pd |
| 2 | +import numpy as np |
| 3 | +import pytest |
| 4 | +from rdtools.utilities import robust_quantile, robust_median, robust_mean |
| 5 | + |
| 6 | + |
| 7 | +@pytest.fixture |
| 8 | +def data(): |
| 9 | + data_zeros = pd.Series([0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) |
| 10 | + data_nan = pd.Series([np.nan, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) |
| 11 | + return data_zeros, data_nan |
| 12 | + |
| 13 | + |
| 14 | +def test_robust_quantile(data): |
| 15 | + data_zeros, data_nan = data |
| 16 | + quantile = 0.5 |
| 17 | + expected_result = 5.5 |
| 18 | + assert expected_result == robust_quantile(data_zeros, quantile) |
| 19 | + assert expected_result == robust_quantile(data_nan, quantile) |
| 20 | + |
| 21 | + quantile = 0.25 |
| 22 | + expected_result = 3.25 |
| 23 | + assert expected_result == robust_quantile(data_zeros, quantile) |
| 24 | + assert expected_result == robust_quantile(data_nan, quantile) |
| 25 | + |
| 26 | + quantile = 0.75 |
| 27 | + expected_result = 7.75 |
| 28 | + assert expected_result == robust_quantile(data_zeros, quantile) |
| 29 | + assert expected_result == robust_quantile(data_nan, quantile) |
| 30 | + |
| 31 | + |
| 32 | +def test_robust_median(data): |
| 33 | + data_zeros, data_nan = data |
| 34 | + expected_result = 5.5 |
| 35 | + assert expected_result == robust_median(data_zeros) |
| 36 | + assert expected_result == robust_median(data_nan) |
| 37 | + |
| 38 | + |
| 39 | +def test_robust_mean(data): |
| 40 | + data_zeros, data_nan = data |
| 41 | + expected_result = 5.5 |
| 42 | + assert expected_result == robust_mean(data_zeros) |
| 43 | + assert expected_result == robust_mean(data_nan) |
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