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dont understand what get_fundamentals is returning / where are the docs?

Looks like get_fundamentals returns some instance of DataFrame - but what is that? It seems to have instance methods columns and values, of which columns is really just a bunch of Equity's -- but I dont' see "Equity" in the API docs anywhere. Equity has all kinds of methods on it like 'symbol', 'asset_name', 'exchange', etc... but are there any docs?

I base all of that just putzing around in debugger mode (see below).

Are these classes and objects better defined somewhere other than quantopian's API docs?

Thanks for the help!!

debugger stuff:

fundamental_df
DataFrame:
security Equity(8347 [XOM]) Equity(24 [AAPL]) \
morningstar_industry_code 30948103 31167138
security

fundamental_df.columns[0]
Equity: Equity(8347, symbol='XOM', asset_name='EXXON MOBIL CORPORATION', exchange='NEW YORK STOCK EXCHANGE', start_date=Timestamp('1993-01-04 00:00:00+0000', tz='UTC'), end_date=Timestamp('2015-07-22 00:00:00+0000', tz='UTC'), first_traded=None)

2 responses

https://www.quantopian.com/help/fundamentals
- and -

https://www.quantopian.com/help#ide-fundamentals <- describes the "pandas dataframe" that it returns

edit to add:
http://pandas.pydata.org/pandas-docs/stable/dsintro.html <- here's some documentation about the pandas.Dataframe object interface.

KC is correct.

get_fundamentals() returns a pandas DataFrame in the IDE.

Each column is a different security object.
Each row is the metric you've requested.

Quantopian Research has a nice tutorial that introduces pandas as well, in the Tutorials folder.

Hope that points you in the right direction.

Thanks
Josh

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