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pydata / pandas-datareader

Extract data from a wide range of Internet sources into a pandas DataFrame.
https://pydata.github.io/pandas-datareader/stable/index.html
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Possible to download sector information from yahoo finance? #103

Closed twiecki closed 6 years ago

twiecki commented 9 years ago

Yahoo finance does give you information on sector and industry: http://finance.yahoo.com/q/pr?s=AAPL+Profile

Is it possible to access that data through pandas-datareader?

sinhrks commented 9 years ago

Currently no, I think. Adding Options('aapl').get_profile() and parse "Details" table should be useful?

twiecki commented 9 years ago

I installed master but there's no .get_profile()

sinhrks commented 9 years ago

Ah, I meant a method being added to meet the request.

twiecki commented 9 years ago

@sinhrks Ah, yeah that would certainly work.

davidastephens commented 8 years ago

@twiecki

Have a look at https://github.com/davidastephens/pandas-finance, I added profile, sector, industry and employees properties to the Equity object.

twiecki commented 8 years ago

@davidastephens Thanks, that's really helpful. Any reason to have 2 packages that do similar things or is there a way to merge the two?

davidastephens commented 8 years ago

There was some discussion in #117 about this. The pandas-finance package is planned to be more a high level api for finance related code rather than just data reading. This package is more for time-series / bulk data downloading. Certainly this particular feature has some overlap across the packages. I'm happy merge it into datareader people think it fits better here.

twiecki commented 8 years ago

@davidastephens I'm not directly involved in either of the two projects so take this as you may. While the division makes sense to me, pandas-finance is merely a thin wrapper on top of pandas-datareader, and because it's just a couple of lines it might make sense to include the API here. pandas-datareader only reads financial data so the target audience is very close.

Irrespective of that, the place where you do parse and load individual data is profile. That could certainly be submitted to pandas-datareader which would also keep the abstraction coherent.

bashtage commented 6 years ago

Yahoo has been deprecated.

satvikjadhav commented 5 years ago

@twiecki

Have a look at https://github.com/davidastephens/pandas-finance, I added profile, sector, industry and employees properties to the Equity object.

Is there any way to get stocks from different regions? For example, I am trying to get a Japanese stock from the Tokyo Stock Exchange. Is that possible? If so, how? Thank you.