%global _empty_manifest_terminate_build 0 Name: python-streamlit-pandas-profiling Version: 0.1.3 Release: 1 Summary: Pandas Profiling component for Streamlit. License: MIT URL: https://share.streamlit.io/okld/streamlit-gallery/main?p=pandas-profiling Source0: https://mirrors.nju.edu.cn/pypi/web/packages/25/ea/4602872d82b115b096bd8b5057d52fdf063d9894f999290d5eccfe937b85/streamlit_pandas_profiling-0.1.3.tar.gz BuildArch: noarch Requires: python3-pandas-profiling Requires: python3-streamlit %description # 📈 Streamlit Pandas Profiling [![GitHub][github_badge]][github_link] [![PyPI][pypi_badge]][pypi_link] ## Installation ```sh pip install streamlit-pandas-profiling ``` ## Getting started ```python import pandas as pd import pandas_profiling import streamlit as st from streamlit_pandas_profiling import st_profile_report df = pd.read_csv("https://storage.googleapis.com/tf-datasets/titanic/train.csv") pr = df.profile_report() st_profile_report(pr) ``` ## Demo [![Open in Streamlit][share_badge]][share_link] [![Preview][share_img]][share_link] [share_badge]: https://static.streamlit.io/badges/streamlit_badge_black_white.svg [share_link]: https://share.streamlit.io/okld/streamlit-gallery/main?p=pandas-profiling [share_img]: https://raw.githubusercontent.com/okld/streamlit-pandas-profiling/main/preview.png [github_badge]: https://badgen.net/badge/icon/GitHub?icon=github&color=black&label [github_link]: https://github.com/okld/streamlit-pandas-profiling [pypi_badge]: https://badgen.net/pypi/v/streamlit-pandas-profiling?icon=pypi&color=black&label [pypi_link]: https://pypi.org/project/streamlit-pandas-profiling %package -n python3-streamlit-pandas-profiling Summary: Pandas Profiling component for Streamlit. Provides: python-streamlit-pandas-profiling BuildRequires: python3-devel BuildRequires: python3-setuptools BuildRequires: python3-pip %description -n python3-streamlit-pandas-profiling # 📈 Streamlit Pandas Profiling [![GitHub][github_badge]][github_link] [![PyPI][pypi_badge]][pypi_link] ## Installation ```sh pip install streamlit-pandas-profiling ``` ## Getting started ```python import pandas as pd import pandas_profiling import streamlit as st from streamlit_pandas_profiling import st_profile_report df = pd.read_csv("https://storage.googleapis.com/tf-datasets/titanic/train.csv") pr = df.profile_report() st_profile_report(pr) ``` ## Demo [![Open in Streamlit][share_badge]][share_link] [![Preview][share_img]][share_link] [share_badge]: https://static.streamlit.io/badges/streamlit_badge_black_white.svg [share_link]: https://share.streamlit.io/okld/streamlit-gallery/main?p=pandas-profiling [share_img]: https://raw.githubusercontent.com/okld/streamlit-pandas-profiling/main/preview.png [github_badge]: https://badgen.net/badge/icon/GitHub?icon=github&color=black&label [github_link]: https://github.com/okld/streamlit-pandas-profiling [pypi_badge]: https://badgen.net/pypi/v/streamlit-pandas-profiling?icon=pypi&color=black&label [pypi_link]: https://pypi.org/project/streamlit-pandas-profiling %package help Summary: Development documents and examples for streamlit-pandas-profiling Provides: python3-streamlit-pandas-profiling-doc %description help # 📈 Streamlit Pandas Profiling [![GitHub][github_badge]][github_link] [![PyPI][pypi_badge]][pypi_link] ## Installation ```sh pip install streamlit-pandas-profiling ``` ## Getting started ```python import pandas as pd import pandas_profiling import streamlit as st from streamlit_pandas_profiling import st_profile_report df = pd.read_csv("https://storage.googleapis.com/tf-datasets/titanic/train.csv") pr = df.profile_report() st_profile_report(pr) ``` ## Demo [![Open in Streamlit][share_badge]][share_link] [![Preview][share_img]][share_link] [share_badge]: https://static.streamlit.io/badges/streamlit_badge_black_white.svg [share_link]: https://share.streamlit.io/okld/streamlit-gallery/main?p=pandas-profiling [share_img]: https://raw.githubusercontent.com/okld/streamlit-pandas-profiling/main/preview.png [github_badge]: https://badgen.net/badge/icon/GitHub?icon=github&color=black&label [github_link]: https://github.com/okld/streamlit-pandas-profiling [pypi_badge]: https://badgen.net/pypi/v/streamlit-pandas-profiling?icon=pypi&color=black&label [pypi_link]: https://pypi.org/project/streamlit-pandas-profiling %prep %autosetup -n streamlit-pandas-profiling-0.1.3 %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-streamlit-pandas-profiling -f filelist.lst %dir %{python3_sitelib}/* %files help -f doclist.lst %{_docdir}/* %changelog * Wed May 31 2023 Python_Bot - 0.1.3-1 - Package Spec generated