-
Notifications
You must be signed in to change notification settings - Fork 673
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Possible to download sector information from yahoo finance? #103
Comments
Currently no, I think. Adding |
I installed master but there's no |
Ah, I meant a method being added to meet the request. |
@sinhrks Ah, yeah that would certainly work. |
Have a look at https://github.com/davidastephens/pandas-finance, I added profile, sector, industry and employees properties to the Equity object. |
@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? |
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. |
@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 |
Yahoo has been deprecated. |
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? |
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
?The text was updated successfully, but these errors were encountered: