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|
%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.aliyun.com/pypi/web/packages/23/c4/8a86daa22264f815a09a4934a3f7b2b90940fbc9dc8a817ed6e6f84a37a0/pdblp-0.1.8.tar.gz
BuildArch: noarch
%description
[](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 <GO>` -> `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
[](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 <GO>` -> `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
[](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 <GO>` -> `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
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 0.1.8-1
- Package Spec generated
|
