%global _empty_manifest_terminate_build 0 Name: python-pdblp Version: 0.1.8 Release: 1 Summary: Bloomberg Open API with pandas License: MIT URL: https://github.com/MatthewGilbert/pdblp Source0: https://mirrors.nju.edu.cn/pypi/web/packages/23/c4/8a86daa22264f815a09a4934a3f7b2b90940fbc9dc8a817ed6e6f84a37a0/pdblp-0.1.8.tar.gz BuildArch: noarch %description [![PyPI version](https://badge.fury.io/py/pdblp.svg)](https://badge.fury.io/py/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](https://matthewgilbert.github.io/pdblp/tutorial.html). The library borrows heavily from a similar package available [here](https://github.com/kyuni22/pybbg) ## Requires `python 3.x` [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-forge` channel on Anaconda, e.g. ``` conda install -n blp_env -c conda-forge blpapi ``` If going this route make sure there is a build available for your version of python https://anaconda.org/conda-forge/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 The documentation can be viewed at https://matthewgilbert.github.io/pdblp/ ### Bloomberg Documentation For general documentation on the Bloomberg API check out the Developer's Guide. For documentation on relevant Bloomberg fields for accessing data, check out the Reference Guide: Services and Schemas. To access these, from a Bloomberg Terminal go `WAPI ` -> `API Developer's Guide`. ### Building the documentation The documentation relies on [Sphinx](http://www.sphinx-doc.org/en/master/). Building the documentation can be done by setting up a conda environment using `conda create --name pdblp_doc --file doc-environment.yml`, sourcing this environment and then installing the relevant version of `pdblp`. Documentation can then be built using ``` cd doc make html ``` and 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. %package -n python3-pdblp Summary: Bloomberg Open API with pandas Provides: python-pdblp BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-pdblp [![PyPI version](https://badge.fury.io/py/pdblp.svg)](https://badge.fury.io/py/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](https://matthewgilbert.github.io/pdblp/tutorial.html). The library borrows heavily from a similar package available [here](https://github.com/kyuni22/pybbg) ## Requires `python 3.x` [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-forge` channel on Anaconda, e.g. ``` conda install -n blp_env -c conda-forge blpapi ``` If going this route make sure there is a build available for your version of python https://anaconda.org/conda-forge/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 The documentation can be viewed at https://matthewgilbert.github.io/pdblp/ ### Bloomberg Documentation For general documentation on the Bloomberg API check out the Developer's Guide. For documentation on relevant Bloomberg fields for accessing data, check out the Reference Guide: Services and Schemas. To access these, from a Bloomberg Terminal go `WAPI ` -> `API Developer's Guide`. ### Building the documentation The documentation relies on [Sphinx](http://www.sphinx-doc.org/en/master/). Building the documentation can be done by setting up a conda environment using `conda create --name pdblp_doc --file doc-environment.yml`, sourcing this environment and then installing the relevant version of `pdblp`. Documentation can then be built using ``` cd doc make html ``` and 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. %package help Summary: Development documents and examples for pdblp Provides: python3-pdblp-doc %description help [![PyPI version](https://badge.fury.io/py/pdblp.svg)](https://badge.fury.io/py/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](https://matthewgilbert.github.io/pdblp/tutorial.html). The library borrows heavily from a similar package available [here](https://github.com/kyuni22/pybbg) ## Requires `python 3.x` [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-forge` channel on Anaconda, e.g. ``` conda install -n blp_env -c conda-forge blpapi ``` If going this route make sure there is a build available for your version of python https://anaconda.org/conda-forge/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 The documentation can be viewed at https://matthewgilbert.github.io/pdblp/ ### Bloomberg Documentation For general documentation on the Bloomberg API check out the Developer's Guide. For documentation on relevant Bloomberg fields for accessing data, check out the Reference Guide: Services and Schemas. To access these, from a Bloomberg Terminal go `WAPI ` -> `API Developer's Guide`. ### Building the documentation The documentation relies on [Sphinx](http://www.sphinx-doc.org/en/master/). Building the documentation can be done by setting up a conda environment using `conda create --name pdblp_doc --file doc-environment.yml`, sourcing this environment and then installing the relevant version of `pdblp`. Documentation can then be built using ``` cd doc make html ``` and 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. %prep %autosetup -n pdblp-0.1.8 %build %py3_build %install %py3_install install -d -m755 %{buildroot}/%{_pkgdocdir} if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi pushd %{buildroot} if [ -d usr/lib ]; then find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/lib64 ]; then find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/bin ]; then find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst fi if [ -d usr/sbin ]; then find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst fi touch doclist.lst if [ -d usr/share/man ]; then find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst fi popd mv %{buildroot}/filelist.lst . mv %{buildroot}/doclist.lst . %files -n python3-pdblp -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Tue May 30 2023 Python_Bot - 0.1.8-1 - Package Spec generated