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pdblp's Introduction

pdblp

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.

The library borrows heavily from a similar package available here

Requires

Bloomberg Open API

pandas

and for pdblp.parser

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/

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