pdblp 0.1.2

Bloomberg Open API with pandas

This is a simple interface to integrate pandas and the Bloomberg Open API. The standard Bloomberg API provides an extensive set of features for building applications on top of however does not provide easy and interactive access to data. This package provides several functions for accessing historical market data and reference data. A simple set of examples is available [here](https://matthewgilbert.github.io/pdblp/tutorial.html).

The library borrows heavily from a similar package available [here](https://github.com/kyuni22/pybbg)

## Requires

[Bloomberg Open API](http://www.bloomberglabs.com/api/)

[pandas](http://pandas.pydata.org/)

and for pdblp.parser

[pyparsing](https://pythonhosted.org/pyparsing/) >= 2.2.0

## Installation You can install from PyPi using

` pip install pdblp `

or you can clone this repository and pip install the package, i.e.

` git clone https://github.com/matthewgilbert/pdblp.git pip install -e pdblp `

blpapi can be installed directly from the above link or you can install from the conda channel dsm into an environment, e.g.

` conda install -n py36 -c dsm blpapi `

If going this route make sure there is a build available for your version of python https://anaconda.org/dsm/blpapi/files

If you are getting ‘GLIBCXX_3.4.21’ not found error when attempting to import blpapi, the following appears to resolve this issue.

` conda install libgcc `

## Documentation Once pdblp has been installed, documentation can be built using

` cd doc make html `

and then viewed in ./doc/_build. Before building this ensure that you are logged into a Bloomberg terminal as this is required for building many of the examples.

An online version of the documentation can be view at https://matthewgilbert.github.io/pdblp/