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|
%global _empty_manifest_terminate_build 0
Name: python-nba-history
Version: 1.1.7
Release: 1
Summary: please add a summary manually as the author left a blank one
License: MIT License
URL: https://github.com/odonnell31/nba_history
Source0: https://mirrors.aliyun.com/pypi/web/packages/af/17/d33e30f5ef2ae93ad505af264bddcaa7bba3aa5e16fbc8300b9ad8cf6ed6/nba_history-1.1.7.tar.gz
BuildArch: noarch
Requires: python3-requests
Requires: python3-beautifulsoup4
Requires: python3-pandas
%description
[](https://badge.fury.io/py/nba-history.svg)
[](https://pepy.tech/project/nba-history)
[](https://img.shields.io/badge/coverage-100%25-brightgreen)
**nba_history** is a python package for dynamically scraping NBA player, team, and draft data.
All nba_history functions return scraped data as a `pandas dataframe` with an option to also export to `CSV`.
## Example
```python
from nba_history import player_data, team_data
# scrape 2013 NBA draft picks
df = player_data.scrape_draft_data(start_year = 2013,
end_year = 2013,
export = False)
print(df.head())
```
## Installation
nba_history depends on the Python modules [requests](https://pypi.org/project/requests/), [beautifulsoup](https://pypi.org/project/beautifulsoup4/), and [pandas](https://pypi.org/project/pandas/)
**Installation with pip:** if you have ``pip`` installed, type this in a terminal:
```console
$ python -m pip install nba_history
```
**Installation by hand:** download the sources, either from [PyPI](https://pypi.org/project/nba-history/) or, if you want the development version, from [GitHub](https://github.com/odonnell31/nba_history), unzip everything into one folder, open a terminal and type:
```console
$ (sudo) python setup.cfg install
%package -n python3-nba-history
Summary: please add a summary manually as the author left a blank one
Provides: python-nba-history
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-nba-history
[](https://badge.fury.io/py/nba-history.svg)
[](https://pepy.tech/project/nba-history)
[](https://img.shields.io/badge/coverage-100%25-brightgreen)
**nba_history** is a python package for dynamically scraping NBA player, team, and draft data.
All nba_history functions return scraped data as a `pandas dataframe` with an option to also export to `CSV`.
## Example
```python
from nba_history import player_data, team_data
# scrape 2013 NBA draft picks
df = player_data.scrape_draft_data(start_year = 2013,
end_year = 2013,
export = False)
print(df.head())
```
## Installation
nba_history depends on the Python modules [requests](https://pypi.org/project/requests/), [beautifulsoup](https://pypi.org/project/beautifulsoup4/), and [pandas](https://pypi.org/project/pandas/)
**Installation with pip:** if you have ``pip`` installed, type this in a terminal:
```console
$ python -m pip install nba_history
```
**Installation by hand:** download the sources, either from [PyPI](https://pypi.org/project/nba-history/) or, if you want the development version, from [GitHub](https://github.com/odonnell31/nba_history), unzip everything into one folder, open a terminal and type:
```console
$ (sudo) python setup.cfg install
%package help
Summary: Development documents and examples for nba-history
Provides: python3-nba-history-doc
%description help
[](https://badge.fury.io/py/nba-history.svg)
[](https://pepy.tech/project/nba-history)
[](https://img.shields.io/badge/coverage-100%25-brightgreen)
**nba_history** is a python package for dynamically scraping NBA player, team, and draft data.
All nba_history functions return scraped data as a `pandas dataframe` with an option to also export to `CSV`.
## Example
```python
from nba_history import player_data, team_data
# scrape 2013 NBA draft picks
df = player_data.scrape_draft_data(start_year = 2013,
end_year = 2013,
export = False)
print(df.head())
```
## Installation
nba_history depends on the Python modules [requests](https://pypi.org/project/requests/), [beautifulsoup](https://pypi.org/project/beautifulsoup4/), and [pandas](https://pypi.org/project/pandas/)
**Installation with pip:** if you have ``pip`` installed, type this in a terminal:
```console
$ python -m pip install nba_history
```
**Installation by hand:** download the sources, either from [PyPI](https://pypi.org/project/nba-history/) or, if you want the development version, from [GitHub](https://github.com/odonnell31/nba_history), unzip everything into one folder, open a terminal and type:
```console
$ (sudo) python setup.cfg install
%prep
%autosetup -n nba_history-1.1.7
%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-nba-history -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Tue Jun 20 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.7-1
- Package Spec generated
|
