Pandas wrapper for Bloomberg api? [closed]

Question

Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.

---

We don’t allow questions seeking recommendations for books, tools, software libraries, and more. You can edit the question so it can be answered with facts and citations.

Closed 5 years ago.

Improve this question

I'm starting to use the python api for Bloomberg and I'm wondering if anyone has written a wrapper to convert responses from Bloomberg into pandas timeseries? pybbg is a wrapper for the old COM api which I could of course extend, but want to avoid reinventing the wheel if possible.

Answer 1

Have a look at this one

https://code.google.com/p/pyalma/source/browse/trunk/InfoProviders/Bloomberg.py

You can request Bloomberg and return a panda,Panel object with

def bdh(sec_list, fld_list, start_date,
    end_date=dt.date.today().strftime('%Y%m%d'), periodicity='DAILY',
    verbose=False, **kwargs):
    """ Sends a historical request to Bloomberg.
    Parameters:
        sec_list: tuple or list of valid Bloomberg tickers.
        fld_list: tuple or list of valid Bloomberg fields.
        start_date: string formatted YYYYMMDD.
        end_date: string formatted YYYYMMDD (default = Today()).
        periodicity: string (default: DAILY).
        verbose: boolean to log Bloomberg response messages (default: False)
        **kwargs: any valid parameter.
    Returns a panda.Panel object.
    """

from this lib.

Answer 2

For future reference, the package mentioned in the question has moved and is now incorporated into Tools for Analysis and Integration. It uses Pandas and has a lot of other features that may be of interest.

Answer 3

Have a look at this one too

https://github.com/kyuni22/pybbg

I made this for me since above does not work for me. It is kind of modified version of above. So if you need something work without modification, here it is.

Answer 4

This is an alternative library https://github.com/matthewgilbert/pdblp. It was inspired by pybbg but has several different features.

Disclaimer: I am the author