%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 [![Version](https://badge.fury.io/py/nba-history.svg)](https://badge.fury.io/py/nba-history.svg) [![Downloads](https://pepy.tech/badge/nba-history)](https://pepy.tech/project/nba-history) [![Coverage](https://img.shields.io/badge/coverage-100%25-brightgreen)](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()) ``` ![Alt text](https://raw.githubusercontent.com/odonnell31/nba_history/master/docs/img/draft_picks_example.png) ## 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 [![Version](https://badge.fury.io/py/nba-history.svg)](https://badge.fury.io/py/nba-history.svg) [![Downloads](https://pepy.tech/badge/nba-history)](https://pepy.tech/project/nba-history) [![Coverage](https://img.shields.io/badge/coverage-100%25-brightgreen)](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()) ``` ![Alt text](https://raw.githubusercontent.com/odonnell31/nba_history/master/docs/img/draft_picks_example.png) ## 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 [![Version](https://badge.fury.io/py/nba-history.svg)](https://badge.fury.io/py/nba-history.svg) [![Downloads](https://pepy.tech/badge/nba-history)](https://pepy.tech/project/nba-history) [![Coverage](https://img.shields.io/badge/coverage-100%25-brightgreen)](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()) ``` ![Alt text](https://raw.githubusercontent.com/odonnell31/nba_history/master/docs/img/draft_picks_example.png) ## 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 - 1.1.7-1 - Package Spec generated