mirror of
https://github.com/wassname/pandas-ta.git
synced 2026-07-12 00:50:09 +08:00
Kevin Johnson
44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
from .context import pandas_ta
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from .data import sample_data
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from unittest import TestCase
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# import numpy.testing as npt
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# import pandas.util.testing as pdt
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from pandas import DataFrame#, Series
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class TestPerformaceExtension(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_log_return_ext(self):
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self.data.ta.log_return(append=True)
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self.assertIsInstance(self.data, DataFrame)
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self.assertEqual(self.data.columns[-1], 'LOGRET_1')
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self.data.ta.log_return(append=True, cumulative=True)
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self.assertIsInstance(self.data, DataFrame)
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self.assertEqual(self.data.columns[-1], 'CUMLOGRET_1')
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def test_percent_return_ext(self):
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self.data.ta.percent_return(append=True)
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self.assertIsInstance(self.data, DataFrame)
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self.assertEqual(self.data.columns[-1], 'PCTRET_1')
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self.data.ta.percent_return(append=True, cumulative=True)
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self.assertIsInstance(self.data, DataFrame)
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self.assertEqual(self.data.columns[-1], 'CUMPCTRET_1') |