how to use Eikon API to get information in different language？
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The CN113672CB= is not in the EQUITY_QUOTES view. In this case, you cau use the SEARCH_ALL view instead.
df = rd.discovery.search(
view = rd.discovery.Views.SEARCH_ALL,
filter = "RIC in ('CN113672CB=')",
select = "BusinessEntity, DocumentTitle, RIC, RCSTRBC2012Leaf,RCSTRBC2012LeafML,RCSTRBCLeaf,RCSTRBCLeafML"
)
print(df["RCSTRBC2012LeafML"].tolist())
print(df["RCSTRBCLeafML"].tolist())
CN113672CB= is in the FIXED_INCOME_QUOTES and FIXED_INCOME_INSTRUMENTS view.
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Thank you for reaching out to us.
I can use the Search feature in the Refinitiv Data Library for Python to get those values.
df = rd.discovery.search(
view = rd.discovery.Views.EQUITY_QUOTES,
filter = "RIC in ('0001.HK' 'IBM.N')",
select = "BusinessEntity,DocumentTitle, RIC, RCSTRBC2012Leaf,RCSTRBC2012LeafML"
)
df["RCSTRBC2012LeafML"].tolist()
The output looks like this:
However, you may contact the helpdesk support team directly via MyRefinitiv to confirm if those values are available in Data Item Browser.
@xuke
Thank you for reaching out to us.
I can use the Search feature in the Refinitiv Data Library for Python to get those values.
The output looks like this:
However, you may contact the helpdesk support team directly via MyRefinitiv to confirm if those values are available in Data Item Browser.
@Jirapongse It seems we cannot get the value in Korean.
And one more question, how can we get the CF_NAME field value in Chinese, Japanese, Korean and traditional Chinese language？
Hi @xuke ,
There's a field named DSPLY_NMLL that stores local language instrument name, is this what you're looking for?
@raksina.samasiri Hi, I used to find this field. we found it returns in traditional Chinese character(博隆技術). I want the simplified Chinese character(博隆技术).
@Jirapongse Thanks for your reply. We try below python API, but we cannot get industry multiple languages for "BOND" security. We can get "TR.TRBCIndustry" field which is "Electrical Components & Equipment". Kindly tell us how to get bond industry in multiple languages.
Example:
df = rd.discovery.search(
view = rd.discovery.Views.EQUITY_QUOTES,
filter = "RIC in ('CN113672CB=')",
select = "BusinessEntity, DocumentTitle, RIC, RCSTRBC2012Leaf,RCSTRBC2012LeafML"
)
df["RCSTRBC2012LeafML"].tolist()