%global _empty_manifest_terminate_build 0
Name: python-dash-table
Version: 5.0.0
Release: 1
Summary: Dash table
License: MIT
URL: https://pypi.org/project/dash-table/
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/3a/81/34983fa0c67125d7fff9d55e5d1a065127bde7ca49ca32d04dedd55f9f35/dash_table-5.0.0.tar.gz
BuildArch: noarch
%description
# Dash Table
An interactive `DataTable` for [Dash](https://dash.plotly.com/).
## Quickstart
```
pip install dash-table
```
```python
import dash
import dash_table
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')
app = dash.Dash(__name__)
app.layout = dash_table.DataTable(
id='table',
columns=[{"name": i, "id": i} for i in df.columns],
data=df.to_dict('records'),
)
if __name__ == '__main__':
app.run_server(debug=True)
```
## Background
Dash DataTable is an interactive table component designed for viewing, editing, and exploring large datasets.
DataTable is rendered with standard, semantic HTML `` markup, which makes it accessible, responsive, and easy to style.
This component was written from scratch in React.js and Typescript specifically for the Dash community. Its API was designed to be ergonomic and its behavior is completely customizable through its properties.
DataTable was designed with a featureset that allows that Dash users to create complex, spreadsheet driven applications with no compromises. We're excited to continue to work with users and companies that [invest in DataTable's future](https://plotly.com/products/consulting-and-oem/).
Please subscribe to [dash-table#207](https://github.com/plotly/dash-table/issues/207) and the [CHANGELOG.md](https://github.com/plotly/dash-table/blob/master/CHANGELOG.md) to stay up-to-date with any breaking changes. Note: DataTable is currently supported in Chrome, Firefox, Safari, Edge (version 15+), and Internet Explorer 11.
Share your DataTable Dash apps on the [community forum](https://community.plotly.com/t/show-and-tell-community-thread/7554)!
## Contributing
See [CONTRIBUTING.md](https://github.com/plotly/dash-table/blob/master/CONTRIBUTING.md)
%package -n python3-dash-table
Summary: Dash table
Provides: python-dash-table
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-dash-table
# Dash Table
An interactive `DataTable` for [Dash](https://dash.plotly.com/).
## Quickstart
```
pip install dash-table
```
```python
import dash
import dash_table
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')
app = dash.Dash(__name__)
app.layout = dash_table.DataTable(
id='table',
columns=[{"name": i, "id": i} for i in df.columns],
data=df.to_dict('records'),
)
if __name__ == '__main__':
app.run_server(debug=True)
```
## Background
Dash DataTable is an interactive table component designed for viewing, editing, and exploring large datasets.
DataTable is rendered with standard, semantic HTML `` markup, which makes it accessible, responsive, and easy to style.
This component was written from scratch in React.js and Typescript specifically for the Dash community. Its API was designed to be ergonomic and its behavior is completely customizable through its properties.
DataTable was designed with a featureset that allows that Dash users to create complex, spreadsheet driven applications with no compromises. We're excited to continue to work with users and companies that [invest in DataTable's future](https://plotly.com/products/consulting-and-oem/).
Please subscribe to [dash-table#207](https://github.com/plotly/dash-table/issues/207) and the [CHANGELOG.md](https://github.com/plotly/dash-table/blob/master/CHANGELOG.md) to stay up-to-date with any breaking changes. Note: DataTable is currently supported in Chrome, Firefox, Safari, Edge (version 15+), and Internet Explorer 11.
Share your DataTable Dash apps on the [community forum](https://community.plotly.com/t/show-and-tell-community-thread/7554)!
## Contributing
See [CONTRIBUTING.md](https://github.com/plotly/dash-table/blob/master/CONTRIBUTING.md)
%package help
Summary: Development documents and examples for dash-table
Provides: python3-dash-table-doc
%description help
# Dash Table
An interactive `DataTable` for [Dash](https://dash.plotly.com/).
## Quickstart
```
pip install dash-table
```
```python
import dash
import dash_table
import pandas as pd
df = pd.read_csv('https://raw.githubusercontent.com/plotly/datasets/master/solar.csv')
app = dash.Dash(__name__)
app.layout = dash_table.DataTable(
id='table',
columns=[{"name": i, "id": i} for i in df.columns],
data=df.to_dict('records'),
)
if __name__ == '__main__':
app.run_server(debug=True)
```
## Background
Dash DataTable is an interactive table component designed for viewing, editing, and exploring large datasets.
DataTable is rendered with standard, semantic HTML `` markup, which makes it accessible, responsive, and easy to style.
This component was written from scratch in React.js and Typescript specifically for the Dash community. Its API was designed to be ergonomic and its behavior is completely customizable through its properties.
DataTable was designed with a featureset that allows that Dash users to create complex, spreadsheet driven applications with no compromises. We're excited to continue to work with users and companies that [invest in DataTable's future](https://plotly.com/products/consulting-and-oem/).
Please subscribe to [dash-table#207](https://github.com/plotly/dash-table/issues/207) and the [CHANGELOG.md](https://github.com/plotly/dash-table/blob/master/CHANGELOG.md) to stay up-to-date with any breaking changes. Note: DataTable is currently supported in Chrome, Firefox, Safari, Edge (version 15+), and Internet Explorer 11.
Share your DataTable Dash apps on the [community forum](https://community.plotly.com/t/show-and-tell-community-thread/7554)!
## Contributing
See [CONTRIBUTING.md](https://github.com/plotly/dash-table/blob/master/CONTRIBUTING.md)
%prep
%autosetup -n dash-table-5.0.0
%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-dash-table -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot - 5.0.0-1
- Package Spec generated