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%global _empty_manifest_terminate_build 0
Name: python-FlowIO
Version: 1.2.1
Release: 1
Summary: FlowIO is a Python library for reading / writing Flow Cytometry Standard (FCS) files
License: BSD
URL: https://github.com/whitews/flowio
Source0: https://mirrors.aliyun.com/pypi/web/packages/c8/5c/345d2d4cb7fea50b8cdf64468ffbb5425315455dd20e48e8512b4ecd3e05/FlowIO-1.2.1.tar.gz
BuildArch: noarch
%description
# FlowIO
[](https://pypi.python.org/pypi/flowio/)
[](https://pypi.python.org/pypi/flowio/)
[](https://pypi.python.org/pypi/flowio/)
[](https://zenodo.org/badge/latestdoi/14634514)
[](https://github.com/whitews/FlowIO/actions/workflows/tests_master.yml)
[](https://github.com/whitews/FlowIO/actions/workflows/tests_develop.yml)
[](https://codecov.io/gh/whitews/flowio)
[](https://flowio.readthedocs.io/en/latest/?badge=latest)
## Overview
FlowIO is a Python library for reading / writing Flow Cytometry Standard (FCS)
files, with zero external dependencies and is compatible with Python 3.7+.
FlowIO retrieves event data exactly as it is encoded in the FCS file: as a
1-dimensional list without separating the events into channels or performing any preprocessing (e.g. applying gain). Metadata
stored in the FCS file is available as a dictionary via the 'text' attribute. Basic attributes
are also available for commonly accessed properties. For example, the channel count
can be used to easily convert the event data to a multi-column NumPy array:
```
import flowio
import numpy
fcs_data = flowio.FlowData('example.fcs')
npy_data = numpy.reshape(fcs_data.events, (-1, fcs_data.channel_count))
```
For higher level interaction with flow cytometry data, including GatingML and FlowJo 10 support,
see the related [FlowKit](https://github.com/whitews/FlowKit) project.
## Installation
The recommended way to install FlowIO is via the `pip` command:
```
pip install flowio
```
Or, if you prefer, you can install from the GitHub source:
```
git clone https://github.com/whitews/flowio
cd flowio
python setup.py install
```
## Documentation
The FlowIO API documentation is available [on ReadTheDocs here](https://flowio.readthedocs.io/en/latest/?badge=latest). If you have any questions about FlowIO or find any bugs [please submit an issue to the GitHub repository here](https://github.com/whitews/FlowIO/issues/new/).
### Changelogs
[Changelogs for versions are available here](https://github.com/whitews/FlowIO/releases)
%package -n python3-FlowIO
Summary: FlowIO is a Python library for reading / writing Flow Cytometry Standard (FCS) files
Provides: python-FlowIO
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-FlowIO
# FlowIO
[](https://pypi.python.org/pypi/flowio/)
[](https://pypi.python.org/pypi/flowio/)
[](https://pypi.python.org/pypi/flowio/)
[](https://zenodo.org/badge/latestdoi/14634514)
[](https://github.com/whitews/FlowIO/actions/workflows/tests_master.yml)
[](https://github.com/whitews/FlowIO/actions/workflows/tests_develop.yml)
[](https://codecov.io/gh/whitews/flowio)
[](https://flowio.readthedocs.io/en/latest/?badge=latest)
## Overview
FlowIO is a Python library for reading / writing Flow Cytometry Standard (FCS)
files, with zero external dependencies and is compatible with Python 3.7+.
FlowIO retrieves event data exactly as it is encoded in the FCS file: as a
1-dimensional list without separating the events into channels or performing any preprocessing (e.g. applying gain). Metadata
stored in the FCS file is available as a dictionary via the 'text' attribute. Basic attributes
are also available for commonly accessed properties. For example, the channel count
can be used to easily convert the event data to a multi-column NumPy array:
```
import flowio
import numpy
fcs_data = flowio.FlowData('example.fcs')
npy_data = numpy.reshape(fcs_data.events, (-1, fcs_data.channel_count))
```
For higher level interaction with flow cytometry data, including GatingML and FlowJo 10 support,
see the related [FlowKit](https://github.com/whitews/FlowKit) project.
## Installation
The recommended way to install FlowIO is via the `pip` command:
```
pip install flowio
```
Or, if you prefer, you can install from the GitHub source:
```
git clone https://github.com/whitews/flowio
cd flowio
python setup.py install
```
## Documentation
The FlowIO API documentation is available [on ReadTheDocs here](https://flowio.readthedocs.io/en/latest/?badge=latest). If you have any questions about FlowIO or find any bugs [please submit an issue to the GitHub repository here](https://github.com/whitews/FlowIO/issues/new/).
### Changelogs
[Changelogs for versions are available here](https://github.com/whitews/FlowIO/releases)
%package help
Summary: Development documents and examples for FlowIO
Provides: python3-FlowIO-doc
%description help
# FlowIO
[](https://pypi.python.org/pypi/flowio/)
[](https://pypi.python.org/pypi/flowio/)
[](https://pypi.python.org/pypi/flowio/)
[](https://zenodo.org/badge/latestdoi/14634514)
[](https://github.com/whitews/FlowIO/actions/workflows/tests_master.yml)
[](https://github.com/whitews/FlowIO/actions/workflows/tests_develop.yml)
[](https://codecov.io/gh/whitews/flowio)
[](https://flowio.readthedocs.io/en/latest/?badge=latest)
## Overview
FlowIO is a Python library for reading / writing Flow Cytometry Standard (FCS)
files, with zero external dependencies and is compatible with Python 3.7+.
FlowIO retrieves event data exactly as it is encoded in the FCS file: as a
1-dimensional list without separating the events into channels or performing any preprocessing (e.g. applying gain). Metadata
stored in the FCS file is available as a dictionary via the 'text' attribute. Basic attributes
are also available for commonly accessed properties. For example, the channel count
can be used to easily convert the event data to a multi-column NumPy array:
```
import flowio
import numpy
fcs_data = flowio.FlowData('example.fcs')
npy_data = numpy.reshape(fcs_data.events, (-1, fcs_data.channel_count))
```
For higher level interaction with flow cytometry data, including GatingML and FlowJo 10 support,
see the related [FlowKit](https://github.com/whitews/FlowKit) project.
## Installation
The recommended way to install FlowIO is via the `pip` command:
```
pip install flowio
```
Or, if you prefer, you can install from the GitHub source:
```
git clone https://github.com/whitews/flowio
cd flowio
python setup.py install
```
## Documentation
The FlowIO API documentation is available [on ReadTheDocs here](https://flowio.readthedocs.io/en/latest/?badge=latest). If you have any questions about FlowIO or find any bugs [please submit an issue to the GitHub repository here](https://github.com/whitews/FlowIO/issues/new/).
### Changelogs
[Changelogs for versions are available here](https://github.com/whitews/FlowIO/releases)
%prep
%autosetup -n FlowIO-1.2.1
%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-FlowIO -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Thu Jun 08 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.1-1
- Package Spec generated
|