def test_graph4(self):
"""
This test is failing with Python 3.4 if many pictures are drawn.
"""
fLOG(
__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
if is_travis_or_appveyor() == "appveyor":
return
fix_tkinter_issues_virtualenv()
from matplotlib import pyplot as plt
cache = os.path.abspath(os.path.split(__file__)[0])
cache = os.path.join(cache, "temp_cache4")
stock = StockPrices("BNP.PA", folder=cache)
ret = stock.returns()["2012-04-01":"2014-04-15"]
fig, ax = plt.subplots(figsize=(16, 8))
ax = stock.plot(ax=ax)
ax = ret.plot(ax=ax, axis=2)
img = os.path.abspath(
os.path.join(
os.path.split(__file__)[0],
"temp_image4.png"))
if os.path.exists(img):
os.remove(img)
fig.savefig(img)
plt.close('all')
assert os.path.exists(img)
def test_save_stock_datetime(self):
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
temp = get_temp_folder(__file__, "temp_save_stock_datetime")
cache = temp
stock = StockPrices(TestStockFileDatetime.tick,
use_dtime=True,
folder=cache,
end=datetime.datetime(2014, 1, 15),
url=TestStockFileDatetime.source)
file = os.path.join(cache, "save.txt")
if os.path.exists(file):
os.remove(file)
stock.to_csv(file)
self.assertTrue(os.path.exists(file))
stock2 = StockPrices(file, sep="\t", use_dtime=True)
self.assertEqual(stock.dataframe.shape, stock2.dataframe.shape)
df = stock2.dataframe
file = os.path.join(cache, "out_excel.xlsx")
if os.path.exists(file):
os.remove(file)
df.to_excel(file)
self.assertTrue(os.path.exists(file))
ret = stock2.returns()
df.loc["2013-04-01":"2013-04-30", "Close"] = 0
ret.dataframe.loc["2013-04-01":"2013-04-30", "Close"] = 0
def test_graph4(self):
"""
This test is failing with Python 3.4 if many pictures are drawn.
"""
fLOG(__file__,
self._testMethodName,
OutputPrint=__name__ == "__main__")
if is_travis_or_appveyor() == "appveyor":
return
fix_tkinter_issues_virtualenv()
from matplotlib import pyplot as plt
cache = os.path.abspath(os.path.split(__file__)[0])
cache = os.path.join(cache, "temp_cache4")
stock = StockPrices("BNP.PA", folder=cache)
ret = stock.returns()["2012-04-01":"2014-04-15"]
fig, ax = plt.subplots(figsize=(16, 8))
ax = stock.plot(ax=ax)
ax = ret.plot(ax=ax, axis=2)
img = os.path.abspath(
os.path.join(os.path.split(__file__)[0], "temp_image4.png"))
if os.path.exists(img):
os.remove(img)
fig.savefig(img)
plt.close('all')
assert os.path.exists(img)
