async def main():
async with aiomoex.ISSClientSession():
data = await aiomoex.get_amortizations(engine=engine,
market=market,
security=security)
df = pd.DataFrame(data)
return df
async def main():
async with aiomoex.ISSClientSession():
data = await aiomoex.get_reference(placeholder=placeholder)
df = pd.DataFrame(data)
# df.set_index('id', inplace=True)
# df2=df[(df.is_traded==1)]
# with pd.option_context('display.max_rows', None, 'display.max_columns', None):
# print(df2[['board_title','boardid','is_traded']], '\n')
return df
async def main():
async with aiomoex.ISSClientSession():
data = await aiomoex.bond_cash_flows(engine=engine,
market=market,
security=security)
ret_data = {}
for ind, item in data.items():
ret_data[ind] = pd.DataFrame(item)
return ret_data
async def main():
async with aiomoex.ISSClientSession():
data = await aiomoex.get_board_securities(board=board,
engine=engine,
market=market,
columns=columns)
df = pd.DataFrame(data)
# print(df.head(), '\n')
# print(df.tail(), '\n')
# df.info()
return df
async def main():
async with aiomoex.ISSClientSession():
data = await aiomoex.get_board_history_all(engine=engine,
market=market,
board=board,
date=date)
ret_data = {}
for ind, item in data.items():
ret_data[ind] = pd.DataFrame(item)
return ret_data
async def main():
async with aiomoex.ISSClientSession():
data = await aiomoex.get_board_candles(security=security,
start=start,
end=end,
board=board,
engine=engine,
market=market)
df = pd.DataFrame(data)
# print(df.head(), '\n')
# print(df.tail(), '\n')
# df.info()
return df
async def main():
async with aiomoex.ISSClientSession():
data = await aiomoex.get_market_history(security=security,
start=start,
end=end,
engine=engine,
market=market,
columns=columns)
df = pd.DataFrame(data)
# print(df.head(), '\n')
# print(df.tail(), '\n')
# df.info()
return df
async def main():
async with aiomoex.ISSClientSession():
data = await aiomoex.get_board_history(security=security,
start=start,
end=end,
board=board,
engine=engine,
market=market,
columns=columns)
df = pd.DataFrame(data)
# df.set_index('TRADEDATE', inplace=True)
# print(df.head(), '\n')
# print(df.tail(), '\n')
# df.info()
return df
