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%global _empty_manifest_terminate_build 0
Name: python-pandarallel
Version: 1.6.4
Release: 1
Summary: An easy to use library to speed up computation (by parallelizing on multi CPUs) with pandas.
License: BSD
URL: https://nalepae.github.io/pandarallel
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/bd/87/351e04dc5eb4d6c5d8ceaecf353e99e5bcda5be406457c5775263d0e5769/pandarallel-1.6.4.tar.gz
BuildArch: noarch
%description
# Pandaral·lel
[](https://pypi.python.org/pypi/pandarallel/)
[](https://pypi.python.org/pypi/pandarallel/)
[](https://pypi.python.org/pypi/pandarallel/)
| Without parallelization |  |
| :----------------------: | ----------------------------------------------------------------------------------------------------------------- |
| **With parallelization** |  |
**Pandaral.lel** provides a simple way to parallelize your pandas operations on all your
CPUs by changing only one line of code. It also displays progress bars.
## Maintainers
- [Manu NALEPA](https://github.com/nalepae/)
- [till-m](https://github.com/till-m)
## Installation
```bash
pip install pandarallel [--upgrade] [--user]
```
## Quickstart
```python
from pandarallel import pandarallel
pandarallel.initialize(progress_bar=True)
# df.apply(func)
df.parallel_apply(func)
```
## Usage
Be sure to check out the [documentation](https://nalepae.github.io/pandarallel).
## Examples
An example of each available `pandas` API is available:
- For [Mac & Linux](https://github.com/nalepae/pandarallel/blob/master/docs/examples_mac_linux.ipynb)
- For [Windows](https://github.com/nalepae/pandarallel/blob/master/docs/examples_windows.ipynb)
%package -n python3-pandarallel
Summary: An easy to use library to speed up computation (by parallelizing on multi CPUs) with pandas.
Provides: python-pandarallel
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-pandarallel
# Pandaral·lel
[](https://pypi.python.org/pypi/pandarallel/)
[](https://pypi.python.org/pypi/pandarallel/)
[](https://pypi.python.org/pypi/pandarallel/)
| Without parallelization |  |
| :----------------------: | ----------------------------------------------------------------------------------------------------------------- |
| **With parallelization** |  |
**Pandaral.lel** provides a simple way to parallelize your pandas operations on all your
CPUs by changing only one line of code. It also displays progress bars.
## Maintainers
- [Manu NALEPA](https://github.com/nalepae/)
- [till-m](https://github.com/till-m)
## Installation
```bash
pip install pandarallel [--upgrade] [--user]
```
## Quickstart
```python
from pandarallel import pandarallel
pandarallel.initialize(progress_bar=True)
# df.apply(func)
df.parallel_apply(func)
```
## Usage
Be sure to check out the [documentation](https://nalepae.github.io/pandarallel).
## Examples
An example of each available `pandas` API is available:
- For [Mac & Linux](https://github.com/nalepae/pandarallel/blob/master/docs/examples_mac_linux.ipynb)
- For [Windows](https://github.com/nalepae/pandarallel/blob/master/docs/examples_windows.ipynb)
%package help
Summary: Development documents and examples for pandarallel
Provides: python3-pandarallel-doc
%description help
# Pandaral·lel
[](https://pypi.python.org/pypi/pandarallel/)
[](https://pypi.python.org/pypi/pandarallel/)
[](https://pypi.python.org/pypi/pandarallel/)
| Without parallelization |  |
| :----------------------: | ----------------------------------------------------------------------------------------------------------------- |
| **With parallelization** |  |
**Pandaral.lel** provides a simple way to parallelize your pandas operations on all your
CPUs by changing only one line of code. It also displays progress bars.
## Maintainers
- [Manu NALEPA](https://github.com/nalepae/)
- [till-m](https://github.com/till-m)
## Installation
```bash
pip install pandarallel [--upgrade] [--user]
```
## Quickstart
```python
from pandarallel import pandarallel
pandarallel.initialize(progress_bar=True)
# df.apply(func)
df.parallel_apply(func)
```
## Usage
Be sure to check out the [documentation](https://nalepae.github.io/pandarallel).
## Examples
An example of each available `pandas` API is available:
- For [Mac & Linux](https://github.com/nalepae/pandarallel/blob/master/docs/examples_mac_linux.ipynb)
- For [Windows](https://github.com/nalepae/pandarallel/blob/master/docs/examples_windows.ipynb)
%prep
%autosetup -n pandarallel-1.6.4
%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-pandarallel -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri Apr 21 2023 Python_Bot <Python_Bot@openeuler.org> - 1.6.4-1
- Package Spec generated
|
