Trying to get from different timeseries, from quandl, one single dataframe.
Trying with for loop get data from thre different quandl timeseries. Getting so far this:
Open High Low Close
Date
2019-04-05 145.0 145.0 138.0 140.2
Open High Low Close
Date
2019-04-05 41.29 41.59 41.03 41.05
Open High Low Close
Date
2019-04-05 12.04 12.08 11.9 11.9
import quandl
import pandas as pd
tickers=['WSE/AMICA','WSE/PZU','WSE/WIELTON']
notowania=[]
for ticker in tickers:
raw_notowania = quandl.get(ticker, authtoken="mytoken", rows=1)[['Open', 'High','Low', 'Close']]
print(raw_notowania)
Expected result is to have after for loop one single dataframe like that:
Open High Low Close
| ticker1|
date | ticker2|
| ticker3|
In loop append each DataFrame
to list
, join together by concat
with parameter key
, then DataFrame.swaplevel
and DataFrame.sort_index
:
tickers=['WSE/AMICA','WSE/PZU','WSE/WIELTON']
notowania=[]
for ticker in tickers:
raw_notowania=quandl.get(ticker,authtoken="mytoken",rows=1)[['Open','High','Low','Close']]
notowania.append(raw_notowania)
df = pd.concat(notowania, keys=tickers).swaplevel().sort_index(level=0)
print (df)
Open High Low Close
2019-04-05 WSE/AMICA 145.00 145.00 138.00 140.20
WSE/PZU 41.29 41.59 41.03 41.05
WSE/WIELTON 12.04 12.08 11.90 11.90