Closed wochner closed 7 years ago
Thanks for this report; I'll investigate.
Hi Oliver,
Thanks for looking into this.
In your other email you also mentioned that I should highlight feature requests. I am relatively new to GitHub. Is there a place for that. Having the IMF API included would be tremendous as both organizations have similar data. As I am also new to python, I have no idea how much effort such an implementation takes. Would also be glad to help, but it will take some time and experience until I am there.
Cheers, Mike
Am 19.01.2017 um 17:29 schrieb Oliver Sherouse notifications@github.com:
Thanks for this report; I'll investigate.
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I have done some more research and looked at Table 2 of the QEDS, because it is rather short. here is a good overview of all the tables.
Most of the data fields on this Table 2 also raise the same ValueError as above:
DT.DOD.DECT.CD.FC.US (0071_T2_Foreign currency 5/) DT.DOD.DSTC.CD.FC.US (0072T2.. Short-term) DT.DOD.DLXF.CD.FC.US (0073T2.. Long-term 6/) DT.DOD.DECT.CD.DC.US (0074_T2_Domestic currency 7/) DT.DOD.DSTC.CD.DC.US (0075T2.. Short-term) DT.DOD.DLXF.CD.DC.US (0076T2.. Long-term) DT.DOD.DECT.CD.UC.US (0077_T2_Unallocated)
Interstingly, the last field and sumtotal of that table works fine:
DT.DOD.DECT.CD.DT.US (0078_T2_Gross External Debt Position)
Even more confusing, as this field should contain the same value as the field DT.DOD.DECT.CD.GG.AR.US (0059_T1_Gross External Debt Position), which I have reported in the original post that does raise a ValueError.
This seems to be fixed with the switch to the requests backend. Per your question about the IMF, I'll take a look at that as a project for a different library, but I don't know that it makes sense to add it to this particular library.
I receive a value error when querying for some of the SDDS External debt data.
indicators = {'DT.DOD.DECT.CD.AR.US': 'Gross external debt'}
df = wbdata.get_dataframe(indicators, convert_date=False)
Traceback (most recent call last): File "F:\source\Python\macro\source_external_debt.py", line 36, in
df = wbdata.get_dataframe(indicators, convert_date=False) # load data from worldbank
File "", line 2, in get_dataframe
File "C:\Python27\lib\site-packages\wbdata\api.py", line 53, in uses_pandas
return f(*args, **kwargs)
File "C:\Python27\lib\site-packages\wbdata\api.py", line 416, in get_dataframe
for i in indicators}
File "C:\Python27\lib\site-packages\wbdata\api.py", line 416, in
for i in indicators}
File "C:\Python27\lib\site-packages\wbdata\api.py", line 167, in get_data
data = fetcher.fetch(query_url, args)
File "C:\Python27\lib\site-packages\wbdata\fetcher.py", line 163, in fetch
raw_response = fetch_url(query_url)
File "C:\Python27\lib\site-packages\wbdata\fetcher.py", line 135, in fetch_url
raise ValueError
ValueError
Other fields (that are very similar) work fine, for example: {'DT.DOD.DECT.CD.GG.AR.US': 'Gross external debt general government'}