def test_get_components_dow_jones(self):
raise nose.SkipTest(
'unreliable test, receive partial components back for dow_jones')
df = web.get_components_yahoo('^DJI') #Dow Jones
assert isinstance(df, pd.DataFrame)
self.assertEqual(len(df), 30)
def test_get_components_dax(self):
raise nose.SkipTest('unreliable test, receive partial components back for dax')
df = web.get_components_yahoo('^GDAXI') #DAX
assert isinstance(df, pd.DataFrame)
self.assertEqual(len(df), 30)
self.assertEqual(df[df.name.str.contains('adidas', case=False)].index,
'ADS.DE')
def test_get_components_dax(self): # pragma: no cover
raise nose.SkipTest('unreliable test, receive partial components back for dax')
df = web.get_components_yahoo('^GDAXI') #DAX
assert isinstance(df, pd.DataFrame)
self.assertEqual(len(df), 30)
self.assertEqual(df[df.name.str.contains('adidas', case=False)].index,
'ADS.DE')
def name_exchange(ticker, components):
exchanges = {"NMS": "NASDAQ", "NGM": "NASDAQ", "NYQ":"NYSE"}
try:
info = data.get_components_yahoo(ticker)
except Exception:
return {"message": Response.data_notfound(ticker)}
name, symbol = info['name'][0], info['exchange'][0]
exchange = exchanges.get(symbol)
if not exchange:
exchange = symbol
return {"message": Response.name_exchange_response(ticker, name, exchange)}
def test_get_components_nasdaq_100(self): # pragma: no cover
# As of 7/12/13, the conditional will
# return false because the link is invalid
df = web.get_components_yahoo("^NDX") # NASDAQ-100
assert isinstance(df, pd.DataFrame)
if len(df) > 1:
# Usual culprits, should be around for a while
assert "AAPL" in df.index
assert "GOOG" in df.index
assert "AMZN" in df.index
else:
expected = DataFrame({"exchange": "N/A", "name": "@^NDX"}, index=["@^NDX"])
tm.assert_frame_equal(df, expected)
def test_get_components_nasdaq_100(self):
# as of 7/12/13 the conditional will test false because the link is invalid
raise nose.SkipTest('unreliable test, receive partial components back for nasdaq_100')
df = web.get_components_yahoo('^NDX') #NASDAQ-100
assert isinstance(df, pd.DataFrame)
if len(df) > 1:
# Usual culprits, should be around for a while
assert 'AAPL' in df.index
assert 'GOOG' in df.index
assert 'AMZN' in df.index
else:
expected = DataFrame({'exchange': 'N/A', 'name': '@^NDX'},
index=['@^NDX'])
assert_frame_equal(df, expected)
def test_get_components_nasdaq_100(self): # pragma: no cover
# as of 7/12/13 the conditional will test false because the link is invalid
raise nose.SkipTest('unreliable test, receive partial components back for nasdaq_100')
df = web.get_components_yahoo('^NDX') #NASDAQ-100
assert isinstance(df, pd.DataFrame)
if len(df) > 1:
# Usual culprits, should be around for a while
assert 'AAPL' in df.index
assert 'GOOG' in df.index
assert 'AMZN' in df.index
else:
expected = DataFrame({'exchange': 'N/A', 'name': '@^NDX'},
index=['@^NDX'])
assert_frame_equal(df, expected)
def test_get_components_nasdaq_100(self): # pragma: no cover
# As of 7/12/13, the conditional will
# return false because the link is invalid
df = web.get_components_yahoo('^NDX') # NASDAQ-100
assert isinstance(df, pd.DataFrame)
if len(df) > 1:
# Usual culprits, should be around for a while
assert 'AAPL' in df.index
assert 'GOOG' in df.index
assert 'AMZN' in df.index
else:
expected = DataFrame({'exchange': 'N/A', 'name': '@^NDX'},
index=['@^NDX'])
tm.assert_frame_equal(df, expected)
def test_get_components_dow_jones(self):
raise nose.SkipTest('unreliable test, receive partial components back for dow_jones')
df = web.get_components_yahoo('^DJI') #Dow Jones
assert isinstance(df, pd.DataFrame)
self.assertEqual(len(df), 30)
def test_get_components_dax(self): # pragma: no cover
df = web.get_components_yahoo("^GDAXI") # DAX
assert isinstance(df, pd.DataFrame)
assert len(df) == 30
assert df[df.name.str.contains("adidas", case=False)].index == "ADS.DE"
def test_get_components_dow_jones(self): # pragma: no cover
df = web.get_components_yahoo("^DJI") # Dow Jones
assert isinstance(df, pd.DataFrame)
assert len(df) == 30
def getCmpnt(stockList):
components = []
for stock in stockList:
components.append(web.get_components_yahoo(stock))
return pd.concat(components)
def getname(li):
df = []
for i in li:
df.append(web.get_components_yahoo(i))
return pd.concat(df)
