mirror of
https://github.com/wassname/pandas-ta.git
synced 2026-06-27 16:10:07 +08:00
Kevin Johnson
47 lines
1.4 KiB
Python
47 lines
1.4 KiB
Python
# -*- coding: utf-8 -*-
|
|
from unittest import TestCase
|
|
from pandas import DataFrame, Series
|
|
|
|
from .config import sample_data
|
|
from .context import pandas_ta
|
|
|
|
|
|
class TestPerformace(TestCase):
|
|
@classmethod
|
|
def setUpClass(cls):
|
|
cls.data = sample_data
|
|
cls.close = cls.data["close"]
|
|
cls.islong = (cls.close > pandas_ta.sma(cls.close, length=8)).astype(int)
|
|
cls.pctret = pandas_ta.percent_return(cls.close, cumulative=False)
|
|
cls.logret = pandas_ta.percent_return(cls.close, cumulative=False)
|
|
|
|
|
|
@classmethod
|
|
def tearDownClass(cls):
|
|
del cls.data
|
|
del cls.close
|
|
del cls.islong
|
|
del cls.pctret
|
|
del cls.logret
|
|
|
|
def setUp(self): pass
|
|
def tearDown(self): pass
|
|
|
|
|
|
def test_cube(self):
|
|
"""Transform: Cube"""
|
|
result = pandas_ta.cube(self.close)
|
|
self.assertIsInstance(result, DataFrame)
|
|
self.assertEqual(result.name, "CUBE_3.0_-1")
|
|
|
|
def test_inverse_fisher(self):
|
|
"""Transform: Inverse Fisher"""
|
|
result = pandas_ta.ifisher(self.close)
|
|
self.assertIsInstance(result, DataFrame)
|
|
self.assertEqual(result.name, "INVFISHER_1.0")
|
|
|
|
def test_remap(self):
|
|
"""Transform: Remap"""
|
|
result = pandas_ta.remap(self.close)
|
|
self.assertIsInstance(result, Series)
|
|
self.assertEqual(result.name, "REMAP_0.0_100.0_-1.0_1.0") |