How do you pass on a date as an argument to get the list of s&p companies?

I have this code:
ek.get_data("0#.SPX(2017-05-05)", ["TR.CompanyName","TR.PriceClose(2017-05-05)"])
It returns the list the of the s&p500 companies on a given date with their close prices. However, I would like to pass on the dates like this instead:
date='2017-05-05'
ek.get_data("0#.SPX(date)", ["TR.CompanyName","TR.PriceClose(date)"])
But it returns:
HTTPError: 400 Bad Request
Also how can I add the date as a column?
Any suggestion would be much appreciated.
Best Answer
-
You made a general programming syntax error. The variable named date is not evaluated in your expression
ek.get_data("0#.SPX(date)", ["TR.CompanyName","TR.PriceClose(date)"])
because it is enclosed in double quotes. "0#.SPX(date)" is a string and the substring "date" within it has no relation to your variable named "date". To get the date value from a variable named "date" use the following syntax
ek.get_data("0#.SPX(" + date + ")", ["TR.CompanyName","TR.PriceClose(" + date + ")"])
0
Answers
-
Hi,
You can try this :
date="2017-05-05"
indice="0#.SPX(" + date + ")"
ek.get_data(indice, ["TR.CompanyName","TR.PriceClose"], {"SDate":date})0 -
Since you already have the date before you even retrieve the data you can easily append it to the dataframe of retrieved data as a new column:
import eikon as ek
import pandas as p
date='2017-05-05'
df, err = ek.get_data("0#.SPX(" + date + ")", ["TR.CompanyName","TR.PriceClose(" + date + ")"])
df = df.assign(Date=p.Series(date, index=df.index).values)
print(df)But if for whatever reason you'd like to get the date returned from the Web service providing the data, you can add TR.PriceClose.date to the list of fields:
ek.get_data("0#.SPX(" + date + ")", ["TR.PriceClose(" + date + ").date", "TR.CompanyName","TR.PriceClose(" + date + ")"])
0
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