Share New Research 
In a Research notebook I'm using the following code to fetch prices for numerous stocks:
tickers = ['LAMR','OUT','AIV','AVB','CPT','EQR','ESS','MAA','UDR','COR','CONE','DLR',
'EQIX','IRM','QTS','ALX','EPR','JBGS','VNO','WPC','PEAK',
'WELL','VTR','MPW','SNR','PLD','PSB','STAY','GLPI','HST',
'HT','IHT','MGP','PK','VICI','XHR','SUI','UMH','NLY','ANH',
'AI','ARE','BXP','BDN','OFC','CUZ','HPP','CLI','SLG','CXW',
'GEO','CBL','MAC''PEI','SPG','TCO','WPG','CUBE','EXR','LSI',
'PSA','BRX','CDR','FRT','KIM','RPT','REG','SITC','SKT','UBP','WRI',
'NNN','O','AMH','INVH','ACC','AMT','CCI','SBAC','PCH','RYN','WY']
symbols = [qb.AddEquity(ticker, Resolution.Daily).Symbol for ticker in tickers]
ef get_prices(symbols,months):
"""
generate a DataFrame with monthly stock prices.
The first and last entries are full months
"""
now = datetime.now()
history = qb.History(symbols, (now-timedelta(days=months*30)).replace(day=1), now.replace(day=1)-timedelta(days=1), Resolution.Daily).drop(['high','low','open','volume'],1)
history = history.unstack(level=0).resample('M').last().to_period('M').dropna(axis=1)
history.columns = history.columns.map(''.join).str.lstrip('close_')
history.columns = history.columns.str.split(' ').str[0]
del history.columns.name
del history.index.name
return history
prices = get_prices(symbols,50)
prices['WPG'].head()On the last line, I get a
KeyError: 'WPG VQY4YY1HBASL'How come? It doesn't happen with any Dataframe not created by History. Am I missing something very basic?Thanks.
Adam W
I've come across some weird interactions occasionally with the DataFrame created by History as well in Research, for instance after changing column names, slicing it by the new names throws a KeyError.
I suggest keeping the keys/columns of the DataFrame as they are, then slicing by the full security ID:
# I've had issues directly changing column names like you are here. Try doing DataFrame manipulations # on a copy of it via .copy() or a slice of it instead. # history.columns = history.columns.map(''.join).str.lstrip('close_') # history.columns = history.columns.str.split(' ').str[0] del history.columns.name del history.index.name return history prices = get_prices(symbols,50) # prices['WPG'].head() prices.loc[:,qb.Symbol('WPG').ID].head() # For WPG security_IDs = [str(symbol.ID) for symbol in symbols] # Multiple columns prices.loc[:,security_IDs].head()Â
Tal Davidson
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