Unable to get all available periods when requesting multiply time series using eikon for python.
I am currently trying to get the data for multiple time series between the year 1995 and now at a monthly level.
rics =
['aPLCEMPO/A',
'aPLCPIB',
'aPLNOT/C',
'aPLHPERMCP',
'aPLRETTOS/CA',
'aPLUNR',
'aPLCINDG/A',
'aPLPPIAT/C',
'aPLWSTOTH/C',
'aPLCONACT',
'aPLIMPP',
'aPLEXPP',
'aPLCPICXFE',
'aPLBINTR',
'aPLXRUSD']
eikon_df_m = ek.get_timeseries(rics, interval = 'monthly', start_date = '1995-01-01')
It returns missing data on quite a few of them where there is data and the earliest it goes back is 2006, however when requesting them individually I can get data going back as far as I want.
Basically very few of the rows below should be NA and data should go back to 1995 for quite a few of selected seris.
Best Answer
-
@sassoonj Thanks for your question and sorry to hear about your issue. So I believe you are running into get_timeseries interday limit per call of 3000 data points, To get around this please try iterating across the list of RICs as follows:
rics = ['aPLCEMPO/A','aPLCPIB','aPLNOT/C','aPLHPERMCP','aPLRETTOS/CA','aPLUNR',
'aPLCINDG/A','aPLPPIAT/C','aPLWSTOTH/C','aPLCONACT','aPLIMPP','aPLEXPP',
'aPLCPICXFE','aPLBINTR','aPLXRUSD']
data1 = pd.DataFrame()
for ric in rics:
df1 = ek.get_timeseries(ric,interval = 'monthly', start_date = '1995-01-01')
df1.rename(columns = {'VALUE': ric}, inplace = True)
if len(data1):
data1 = pd.concat([data1, df1], axis=1)
else:
data1 = df1
data1This seems to work for me. I hope this can help.
1
Answers
-
Thank you, this works. Although I think there is an error in your answer. I changed
df1.rename(columns = {'VALUE': i}, inplace = True)
to:
df1.rename(columns = {'VALUE': ric}, inplace = True)0 -
@sassoonj Thanks so much for the spot - apols yes - I have changed the code sample I shared.1
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