mirror of
https://github.com/wassname/pandas-ta.git
synced 2026-07-12 00:50:09 +08:00
Kevin Johnson
60 lines
1.6 KiB
Python
60 lines
1.6 KiB
Python
from .config import sample_data
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from .context import pandas_ta
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from unittest import TestCase
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from pandas import DataFrame
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class TestStatisticsExtension(TestCase):
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@classmethod
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def setUpClass(cls):
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cls.data = sample_data
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@classmethod
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def tearDownClass(cls):
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del cls.data
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def setUp(self):
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pass
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def tearDown(self):
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pass
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def test_kurtosis_ext(self):
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self.data.ta.kurtosis(append=True)
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self.assertIsInstance(self.data, DataFrame)
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self.assertEqual(self.data.columns[-1], 'KURT_30')
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def test_mad_ext(self):
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self.data.ta.mad(append=True)
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self.assertIsInstance(self.data, DataFrame)
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self.assertEqual(self.data.columns[-1], 'MAD_30')
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def test_median_ext(self):
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self.data.ta.median(append=True)
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self.assertIsInstance(self.data, DataFrame)
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self.assertEqual(self.data.columns[-1], 'MEDIAN_30')
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def test_quantile_ext(self):
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self.data.ta.quantile(append=True)
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self.assertIsInstance(self.data, DataFrame)
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self.assertEqual(self.data.columns[-1], 'QTL_30_0.5')
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def test_skew_ext(self):
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self.data.ta.skew(append=True)
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self.assertIsInstance(self.data, DataFrame)
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self.assertEqual(self.data.columns[-1], 'SKEW_30')
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def test_stdev_ext(self):
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self.data.ta.stdev(append=True)
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self.assertIsInstance(self.data, DataFrame)
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self.assertEqual(self.data.columns[-1], 'STDEV_30')
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def test_variance_ext(self):
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self.data.ta.variance(append=True)
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self.assertIsInstance(self.data, DataFrame)
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self.assertEqual(self.data.columns[-1], 'VAR_30')
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