def test_last_pandas(self):
df = get_last(output_format='pandas')
df2 = get_last("AAPL", output_format='pandas')
df3 = get_last(["AAPL", "TSLA"], output_format='pandas')
assert isinstance(df, DataFrame)
assert isinstance(df2, DataFrame)
assert isinstance(df3, DataFrame)
def test_last_too_many_symbols(self):
with pytest.raises(ValueError):
get_last(self.bad)
def test_last_json_default(self):
ls = get_last()
assert isinstance(ls, list) and len(ls) > 7500
def test_last_json_syms(self):
ls = get_last("AAPL")
ls2 = get_last(["AAPL", "TSLA"])
assert isinstance(ls, list) and len(ls) == 1
assert isinstance(ls2, list) and len(ls2) == 2
a = Stock("AAPL", token="sk_434806dae94a4ee69daa8375f33da6f5") # token is the secret API key for our account
IEX_TOKEN = 'sk_434806dae94a4ee69daa8375f33da6f5'
time_offset = timedelta(hours=3)
nyc_time = datetime.now() + time_offset
intraday_prices = []
time = []
counter = 0
while counter < 180:
# while (nyc_time.hour > 9) and (nyc_time.minute > 30):
# intraday_prices.append(a.get_price())
print(counter)
df = get_last(symbols="AAPL", output_format='pandas', token=IEX_TOKEN)
intraday_prices.append(df['price'])
time.append(str(nyc_time.minute) + str(":") + str(nyc_time.second))
# time.append(nyc_time)
Time.sleep(1)
nyc_time = datetime.now() + time_offset
if (nyc_time.hour > 14) and (nyc_time.minute > 30) and (nyc_time.second > 0):
break
counter += 1
fig, ax = plt.subplots()
ax.plot(time, intraday_prices, color="green")
