mirror of
https://github.com/wassname/pandas-ta.git
synced 2026-07-04 17:20:12 +08:00
Kevin Johnson
63 lines
2.2 KiB
Python
63 lines
2.2 KiB
Python
from .config import sample_data
|
|
from .context import pandas_ta
|
|
|
|
from unittest import TestCase
|
|
from pandas import DataFrame
|
|
|
|
|
|
|
|
class TestPerformaceExtension(TestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.data = sample_data
|
|
cls.islong = cls.data['close'] > pandas_ta.sma(cls.data['close'], length=50)
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
del cls.data
|
|
del cls.islong
|
|
|
|
|
|
def setUp(self): pass
|
|
def tearDown(self): pass
|
|
|
|
|
|
def test_log_return_ext(self):
|
|
self.data.ta.log_return(append=True)
|
|
self.assertIsInstance(self.data, DataFrame)
|
|
self.assertEqual(self.data.columns[-1], 'LOGRET_1')
|
|
|
|
def test_cum_log_return_ext(self):
|
|
self.data.ta.log_return(append=True, cumulative=True)
|
|
self.assertIsInstance(self.data, DataFrame)
|
|
self.assertEqual(self.data.columns[-1], 'CUMLOGRET_1')
|
|
|
|
def test_percent_return_ext(self):
|
|
self.data.ta.percent_return(append=True)
|
|
self.assertIsInstance(self.data, DataFrame)
|
|
self.assertEqual(self.data.columns[-1], 'PCTRET_1')
|
|
|
|
def test_cum_percent_return_ext(self):
|
|
self.data.ta.percent_return(append=True, cumulative=True)
|
|
self.assertIsInstance(self.data, DataFrame)
|
|
self.assertEqual(self.data.columns[-1], 'CUMPCTRET_1')
|
|
|
|
def test_log_trend_return_ext(self):
|
|
self.data.ta.trend_return(trend=self.islong, log=True, cumulative=False, append=True)
|
|
self.assertIsInstance(self.data, DataFrame)
|
|
self.assertEqual(self.data.columns[-1], 'LTR')
|
|
|
|
def test_cum_log_trend_return_ext(self):
|
|
self.data.ta.trend_return(trend=self.islong, log=True, cumulative=True, append=True)
|
|
self.assertIsInstance(self.data, DataFrame)
|
|
self.assertEqual(self.data.columns[-1], 'CLTR')
|
|
|
|
def test_pct_trend_return_ext(self):
|
|
self.data.ta.trend_return(trend=self.islong, log=False, cumulative=False, append=True)
|
|
self.assertIsInstance(self.data, DataFrame)
|
|
self.assertEqual(self.data.columns[-1], 'PTR')
|
|
|
|
def test_cum_pct_trend_return_ext(self):
|
|
self.data.ta.trend_return(trend=self.islong, log=False, cumulative=True, append=True)
|
|
self.assertIsInstance(self.data, DataFrame)
|
|
self.assertEqual(self.data.columns[-1], 'CPTR') |