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|
%global _empty_manifest_terminate_build 0
Name: python-hvplot
Version: 0.8.3
Release: 1
Summary: A high-level plotting API for the PyData ecosystem built on HoloViews.
License: BSD
URL: https://hvplot.pyviz.org
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/1e/a6/a63e06a9a64370fc6383400a3fbcb8ea8a7063b9eabcb00416a3c93e936a/hvplot-0.8.3.tar.gz
BuildArch: noarch
Requires: python3-bokeh
Requires: python3-colorcet
Requires: python3-holoviews
Requires: python3-pandas
Requires: python3-numpy
Requires: python3-packaging
Requires: python3-panel
Requires: python3-param
Requires: python3-cartopy
Requires: python3-codecov
Requires: python3-dask
Requires: python3-datashader
Requires: python3-fiona
Requires: python3-flake8
Requires: python3-geopandas
Requires: python3-geoviews
Requires: python3-intake
Requires: python3-intake-parquet
Requires: python3-intake-xarray
Requires: python3-ipykernel
Requires: python3-ipywidgets
Requires: python3-matplotlib
Requires: python3-nbsite
Requires: python3-nbval
Requires: python3-networkx
Requires: python3-notebook
Requires: python3-numba
Requires: python3-numpy
Requires: python3-param
Requires: python3-parameterized
Requires: python3-pillow
Requires: python3-plotly
Requires: python3-pooch
Requires: python3-pooch
Requires: python3-pre-commit
Requires: python3-pyct
Requires: python3-pydata-sphinx-theme
Requires: python3-pyepsg
Requires: python3-pygraphviz
Requires: python3-pyproj
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-pytest-xdist
Requires: python3-snappy
Requires: python3-rasterio
Requires: python3-rioxarray
Requires: python3-s3fs
Requires: python3-scikit-image
Requires: python3-scipy
Requires: python3-scipy
Requires: python3-selenium
Requires: python3-setuptools
Requires: python3-spatialpandas
Requires: python3-sphinx-copybutton
Requires: python3-sphinx-design
Requires: python3-streamz
Requires: python3-xarray
Requires: python3-xarray
Requires: python3-param
Requires: python3-pyct
Requires: python3-setuptools
Requires: python3-geoviews
Requires: python3-geopandas
Requires: python3-xarray
Requires: python3-networkx
Requires: python3-streamz
Requires: python3-intake
Requires: python3-intake-parquet
Requires: python3-intake-xarray
Requires: python3-dask
Requires: python3-notebook
Requires: python3-rasterio
Requires: python3-cartopy
Requires: python3-pyproj
Requires: python3-s3fs
Requires: python3-scipy
Requires: python3-pillow
Requires: python3-selenium
Requires: python3-scikit-image
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Requires: python3-pooch
Requires: python3-fiona
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Requires: python3-pyepsg
Requires: python3-matplotlib
Requires: python3-plotly
Requires: python3-pygraphviz
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Requires: python3-numpy
Requires: python3-ipywidgets
Requires: python3-numba
Requires: python3-datashader
Requires: python3-spatialpandas
Requires: python3-nbsite
Requires: python3-pydata-sphinx-theme
Requires: python3-sphinx-copybutton
Requires: python3-sphinx-design
Requires: python3-geoviews
Requires: python3-geopandas
Requires: python3-xarray
Requires: python3-networkx
Requires: python3-streamz
Requires: python3-intake
Requires: python3-intake-parquet
Requires: python3-intake-xarray
Requires: python3-dask
Requires: python3-notebook
Requires: python3-rasterio
Requires: python3-cartopy
Requires: python3-pyproj
Requires: python3-s3fs
Requires: python3-scipy
Requires: python3-pillow
Requires: python3-selenium
Requires: python3-scikit-image
Requires: python3-snappy
Requires: python3-pooch
Requires: python3-fiona
Requires: python3-rioxarray
Requires: python3-pyepsg
Requires: python3-matplotlib
Requires: python3-plotly
Requires: python3-pygraphviz
Requires: python3-ipykernel
Requires: python3-numpy
Requires: python3-ipywidgets
Requires: python3-numba
Requires: python3-datashader
Requires: python3-spatialpandas
Requires: python3-geoviews
Requires: python3-geopandas
Requires: python3-xarray
Requires: python3-networkx
Requires: python3-streamz
Requires: python3-intake
Requires: python3-intake-parquet
Requires: python3-intake-xarray
Requires: python3-dask
Requires: python3-notebook
Requires: python3-rasterio
Requires: python3-cartopy
Requires: python3-pyproj
Requires: python3-s3fs
Requires: python3-scipy
Requires: python3-pillow
Requires: python3-selenium
Requires: python3-scikit-image
Requires: python3-snappy
Requires: python3-pooch
Requires: python3-fiona
Requires: python3-rioxarray
Requires: python3-pyepsg
Requires: python3-matplotlib
Requires: python3-plotly
Requires: python3-pygraphviz
Requires: python3-ipykernel
Requires: python3-numpy
Requires: python3-ipywidgets
Requires: python3-numba
Requires: python3-datashader
Requires: python3-spatialpandas
Requires: python3-pytest-xdist
Requires: python3-nbval
Requires: python3-codecov
Requires: python3-flake8
Requires: python3-pre-commit
Requires: python3-parameterized
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-matplotlib
Requires: python3-plotly
Requires: python3-xarray
Requires: python3-pooch
Requires: python3-scipy
Requires: python3-ipywidgets
Requires: python3-pytest-xdist
Requires: python3-nbval
%description
# hvPlot makes data analysis and visualization simple <img src="https://github.com/holoviz/hvplot/blob/main/doc/_static/logo.png?raw=true" style="width:2em;margin-bottom:-15px">
| | |
| --- | --- |
| Build Status | [](https://github.com/holoviz/hvplot/actions?query=workflow%3Atests+branch%3Amain) |
| Coverage | [](https://codecov.io/gh/holoviz/hvplot) |
| Latest dev release | [](https://github.com/holoviz/hvplot/tags) [](https://pyviz-dev.github.io/hvplot/) |
| Latest release | [](https://github.com/holoviz/hvplot/releases) [](https://pypi.python.org/pypi/hvplot) [](https://anaconda.org/pyviz/hvplot) [](https://anaconda.org/conda-forge/hvplot) [](https://anaconda.org/anaconda/hvplot) |
| Python | [](https://pypi.org/project/hvplot/) |
| Docs | [](https://github.com/holoviz/hvplot/tree/gh-pages) [](https://hvplot.holoviz.org) |
| Binder | [](https://mybinder.org/v2/gh/holoviz/hvplot/v0.8.1?urlpath=lab/tree/examples) |
| Support | [](https://discourse.holoviz.org/c/hvplot/8) |
[Home](https://hvplot.holoviz.org/) | [Installation instructions](#installation-instructions) | [Getting Started Guide](https://hvplot.holoviz.org/getting_started/index.html) | [Reference Guides](https://hvplot.holoviz.org/reference/index.html) | [Examples](#examples) | [License](#license) | [Support](#support--feedback)
## hvPlot provides a familiar, high-level API for visualization
The API is based on the familiar Pandas `.plot` API and the innovative `.interactive` API.
<img src="https://github.com/MarcSkovMadsen/awesome-panel-assets/blob/master/images/hvPlot/hvplot-total-intro.gif?raw=true" style="max-height:600px;border-radius:2%;">
## hvPlot works with the tools you know and love
hvPlot
- supports a wide range of data sources including [Pandas](http://pandas.pydata.org), [XArray](http://xarray.pydata.org), [Dask](http://dask.pydata.org), [Streamz](http://streamz.readthedocs.io), [Intake](http://github.com/ContinuumIO/intake), [GeoPandas](http://geopandas.org) and [NetworkX](https://networkx.github.io/documentation/stable/).
- supports the plotting backends [Bokeh](https://docs.bokeh.org/en/latest/), [Matplotlib](https://matplotlib.org/) and [Plotly](https://plotly.com/python/).
- exposes the powerful tools from the [HoloViz](https://holoviz.org/) ecosystem in a familiar and convenient API.
[<img src="https://hvplot.holoviz.org/assets/diagram.svg" style="max-height:400px;border-radius:2%;"/>](https://holoviz.org/)
hvPlot is **the simplest way to benefit from the [HoloViz](https://holoviz.org/) ecosystem for data exploration**.
## hvPlot can be used for exploration, reporting and data apps
Check out [this blog post](https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1) to see how easy it is to create an interactive dashboard with hvPlot and Panel.
<a href="https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1"><img src="https://miro.medium.com/max/700/1*bZjPtucT8O1esjQaGQenHw.gif" style="max-height:600px;border-radius:2%;"></a>
## Mini getting-started
Head over to the [getting started guide](https://hvplot.holoviz.org/getting_started/index.html) for more!
### Install
hvPlot can be installed on Linux, Windows, or Mac with ``conda``:
```bash
conda install -c pyviz hvplot
```
or with ``pip``:
```bash
pip install hvplot
```
Please note that for versions of `jupyterlab<3.0`, you must install the JupyterLab extension manually with:
```bash
jupyter labextension install @pyviz/jupyterlab_pyviz
```
### Plotting data
Work with your data source:
```python
import numpy as np
import pandas as pd
idx = pd.date_range('1/1/2000', periods=1000)
df = pd.DataFrame(np.random.randn(1000, 4), index=idx, columns=list('ABCD')).cumsum()
```
Import the hvPlot extension for your data source and optionally set the plotting backend:
```python
import hvplot.pandas
# Optional: hvplot.extension('matplotlib') or hvplot.extension('plotly')
```
Use the `.hvplot` API as you would use the Pandas or Xarray `.plot` API:
```python
df.hvplot()
```
[<img src="https://github.com/MarcSkovMadsen/awesome-panel-assets/blob/master/images/hvPlot/hvplot-intro-plot.gif?raw=true" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/index.html)
### Interactive data apps
Just add `.interactive` and replace your normal arguments with [Panel widgets](https://panel.holoviz.org/reference/index.html#widgets) or [Ipywidgets](https://ipywidgets.readthedocs.io/en/stable/examples/Widget%20List.html).
```python
import panel as pn
pn.extension()
df.interactive(width=600).head(n=pn.widgets.IntSlider(start=1, end=5, value=3))
```
[<img src="https://github.com/MarcSkovMadsen/awesome-panel-assets/blob/master/images/hvPlot/hvplot-intro-interactive.gif?raw=true" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/Interactive.html)
### How to find documentation from your notebook or editor
To see the available arguments for a specific `kind` of plot run
```python
hvplot.help(kind='scatter')
```
In a notebook or ipython environment the usual
- `help` and `?` will provide you with documentation.
- `TAB` and `SHIFT+TAB` completion will help you navigate.
## Examples
[<img src="http://blog.holoviz.org/images/hvplot_collage.png" style="max-height:400px;border-radius:2%;">](https://hvplot.holoviz.org/topics.html)
## License
hvPlot is completely free and open-source. It is licensed under the [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause).
## Support & Feedback
Get support from or provide feedback to the [HoloViz Community](https://holoviz.org/community.html).
## Contributions
We would love to work with you no matter whether you want to contribute to issue management, PRs, documentation, blog posts, community support or social media communication.
To get started with the code or docs check out the [Developer Guide](https://hvplot.holoviz.org/developer_guide/index.html).
Reach out on [Gitter](https://gitter.im/pyviz/pyviz) to discuss with the developers, join the weekly triaging or join the bi-weekly HoloViz call.
%package -n python3-hvplot
Summary: A high-level plotting API for the PyData ecosystem built on HoloViews.
Provides: python-hvplot
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-hvplot
# hvPlot makes data analysis and visualization simple <img src="https://github.com/holoviz/hvplot/blob/main/doc/_static/logo.png?raw=true" style="width:2em;margin-bottom:-15px">
| | |
| --- | --- |
| Build Status | [](https://github.com/holoviz/hvplot/actions?query=workflow%3Atests+branch%3Amain) |
| Coverage | [](https://codecov.io/gh/holoviz/hvplot) |
| Latest dev release | [](https://github.com/holoviz/hvplot/tags) [](https://pyviz-dev.github.io/hvplot/) |
| Latest release | [](https://github.com/holoviz/hvplot/releases) [](https://pypi.python.org/pypi/hvplot) [](https://anaconda.org/pyviz/hvplot) [](https://anaconda.org/conda-forge/hvplot) [](https://anaconda.org/anaconda/hvplot) |
| Python | [](https://pypi.org/project/hvplot/) |
| Docs | [](https://github.com/holoviz/hvplot/tree/gh-pages) [](https://hvplot.holoviz.org) |
| Binder | [](https://mybinder.org/v2/gh/holoviz/hvplot/v0.8.1?urlpath=lab/tree/examples) |
| Support | [](https://discourse.holoviz.org/c/hvplot/8) |
[Home](https://hvplot.holoviz.org/) | [Installation instructions](#installation-instructions) | [Getting Started Guide](https://hvplot.holoviz.org/getting_started/index.html) | [Reference Guides](https://hvplot.holoviz.org/reference/index.html) | [Examples](#examples) | [License](#license) | [Support](#support--feedback)
## hvPlot provides a familiar, high-level API for visualization
The API is based on the familiar Pandas `.plot` API and the innovative `.interactive` API.
<img src="https://github.com/MarcSkovMadsen/awesome-panel-assets/blob/master/images/hvPlot/hvplot-total-intro.gif?raw=true" style="max-height:600px;border-radius:2%;">
## hvPlot works with the tools you know and love
hvPlot
- supports a wide range of data sources including [Pandas](http://pandas.pydata.org), [XArray](http://xarray.pydata.org), [Dask](http://dask.pydata.org), [Streamz](http://streamz.readthedocs.io), [Intake](http://github.com/ContinuumIO/intake), [GeoPandas](http://geopandas.org) and [NetworkX](https://networkx.github.io/documentation/stable/).
- supports the plotting backends [Bokeh](https://docs.bokeh.org/en/latest/), [Matplotlib](https://matplotlib.org/) and [Plotly](https://plotly.com/python/).
- exposes the powerful tools from the [HoloViz](https://holoviz.org/) ecosystem in a familiar and convenient API.
[<img src="https://hvplot.holoviz.org/assets/diagram.svg" style="max-height:400px;border-radius:2%;"/>](https://holoviz.org/)
hvPlot is **the simplest way to benefit from the [HoloViz](https://holoviz.org/) ecosystem for data exploration**.
## hvPlot can be used for exploration, reporting and data apps
Check out [this blog post](https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1) to see how easy it is to create an interactive dashboard with hvPlot and Panel.
<a href="https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1"><img src="https://miro.medium.com/max/700/1*bZjPtucT8O1esjQaGQenHw.gif" style="max-height:600px;border-radius:2%;"></a>
## Mini getting-started
Head over to the [getting started guide](https://hvplot.holoviz.org/getting_started/index.html) for more!
### Install
hvPlot can be installed on Linux, Windows, or Mac with ``conda``:
```bash
conda install -c pyviz hvplot
```
or with ``pip``:
```bash
pip install hvplot
```
Please note that for versions of `jupyterlab<3.0`, you must install the JupyterLab extension manually with:
```bash
jupyter labextension install @pyviz/jupyterlab_pyviz
```
### Plotting data
Work with your data source:
```python
import numpy as np
import pandas as pd
idx = pd.date_range('1/1/2000', periods=1000)
df = pd.DataFrame(np.random.randn(1000, 4), index=idx, columns=list('ABCD')).cumsum()
```
Import the hvPlot extension for your data source and optionally set the plotting backend:
```python
import hvplot.pandas
# Optional: hvplot.extension('matplotlib') or hvplot.extension('plotly')
```
Use the `.hvplot` API as you would use the Pandas or Xarray `.plot` API:
```python
df.hvplot()
```
[<img src="https://github.com/MarcSkovMadsen/awesome-panel-assets/blob/master/images/hvPlot/hvplot-intro-plot.gif?raw=true" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/index.html)
### Interactive data apps
Just add `.interactive` and replace your normal arguments with [Panel widgets](https://panel.holoviz.org/reference/index.html#widgets) or [Ipywidgets](https://ipywidgets.readthedocs.io/en/stable/examples/Widget%20List.html).
```python
import panel as pn
pn.extension()
df.interactive(width=600).head(n=pn.widgets.IntSlider(start=1, end=5, value=3))
```
[<img src="https://github.com/MarcSkovMadsen/awesome-panel-assets/blob/master/images/hvPlot/hvplot-intro-interactive.gif?raw=true" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/Interactive.html)
### How to find documentation from your notebook or editor
To see the available arguments for a specific `kind` of plot run
```python
hvplot.help(kind='scatter')
```
In a notebook or ipython environment the usual
- `help` and `?` will provide you with documentation.
- `TAB` and `SHIFT+TAB` completion will help you navigate.
## Examples
[<img src="http://blog.holoviz.org/images/hvplot_collage.png" style="max-height:400px;border-radius:2%;">](https://hvplot.holoviz.org/topics.html)
## License
hvPlot is completely free and open-source. It is licensed under the [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause).
## Support & Feedback
Get support from or provide feedback to the [HoloViz Community](https://holoviz.org/community.html).
## Contributions
We would love to work with you no matter whether you want to contribute to issue management, PRs, documentation, blog posts, community support or social media communication.
To get started with the code or docs check out the [Developer Guide](https://hvplot.holoviz.org/developer_guide/index.html).
Reach out on [Gitter](https://gitter.im/pyviz/pyviz) to discuss with the developers, join the weekly triaging or join the bi-weekly HoloViz call.
%package help
Summary: Development documents and examples for hvplot
Provides: python3-hvplot-doc
%description help
# hvPlot makes data analysis and visualization simple <img src="https://github.com/holoviz/hvplot/blob/main/doc/_static/logo.png?raw=true" style="width:2em;margin-bottom:-15px">
| | |
| --- | --- |
| Build Status | [](https://github.com/holoviz/hvplot/actions?query=workflow%3Atests+branch%3Amain) |
| Coverage | [](https://codecov.io/gh/holoviz/hvplot) |
| Latest dev release | [](https://github.com/holoviz/hvplot/tags) [](https://pyviz-dev.github.io/hvplot/) |
| Latest release | [](https://github.com/holoviz/hvplot/releases) [](https://pypi.python.org/pypi/hvplot) [](https://anaconda.org/pyviz/hvplot) [](https://anaconda.org/conda-forge/hvplot) [](https://anaconda.org/anaconda/hvplot) |
| Python | [](https://pypi.org/project/hvplot/) |
| Docs | [](https://github.com/holoviz/hvplot/tree/gh-pages) [](https://hvplot.holoviz.org) |
| Binder | [](https://mybinder.org/v2/gh/holoviz/hvplot/v0.8.1?urlpath=lab/tree/examples) |
| Support | [](https://discourse.holoviz.org/c/hvplot/8) |
[Home](https://hvplot.holoviz.org/) | [Installation instructions](#installation-instructions) | [Getting Started Guide](https://hvplot.holoviz.org/getting_started/index.html) | [Reference Guides](https://hvplot.holoviz.org/reference/index.html) | [Examples](#examples) | [License](#license) | [Support](#support--feedback)
## hvPlot provides a familiar, high-level API for visualization
The API is based on the familiar Pandas `.plot` API and the innovative `.interactive` API.
<img src="https://github.com/MarcSkovMadsen/awesome-panel-assets/blob/master/images/hvPlot/hvplot-total-intro.gif?raw=true" style="max-height:600px;border-radius:2%;">
## hvPlot works with the tools you know and love
hvPlot
- supports a wide range of data sources including [Pandas](http://pandas.pydata.org), [XArray](http://xarray.pydata.org), [Dask](http://dask.pydata.org), [Streamz](http://streamz.readthedocs.io), [Intake](http://github.com/ContinuumIO/intake), [GeoPandas](http://geopandas.org) and [NetworkX](https://networkx.github.io/documentation/stable/).
- supports the plotting backends [Bokeh](https://docs.bokeh.org/en/latest/), [Matplotlib](https://matplotlib.org/) and [Plotly](https://plotly.com/python/).
- exposes the powerful tools from the [HoloViz](https://holoviz.org/) ecosystem in a familiar and convenient API.
[<img src="https://hvplot.holoviz.org/assets/diagram.svg" style="max-height:400px;border-radius:2%;"/>](https://holoviz.org/)
hvPlot is **the simplest way to benefit from the [HoloViz](https://holoviz.org/) ecosystem for data exploration**.
## hvPlot can be used for exploration, reporting and data apps
Check out [this blog post](https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1) to see how easy it is to create an interactive dashboard with hvPlot and Panel.
<a href="https://towardsdatascience.com/the-easiest-way-to-create-an-interactive-dashboard-in-python-77440f2511d1"><img src="https://miro.medium.com/max/700/1*bZjPtucT8O1esjQaGQenHw.gif" style="max-height:600px;border-radius:2%;"></a>
## Mini getting-started
Head over to the [getting started guide](https://hvplot.holoviz.org/getting_started/index.html) for more!
### Install
hvPlot can be installed on Linux, Windows, or Mac with ``conda``:
```bash
conda install -c pyviz hvplot
```
or with ``pip``:
```bash
pip install hvplot
```
Please note that for versions of `jupyterlab<3.0`, you must install the JupyterLab extension manually with:
```bash
jupyter labextension install @pyviz/jupyterlab_pyviz
```
### Plotting data
Work with your data source:
```python
import numpy as np
import pandas as pd
idx = pd.date_range('1/1/2000', periods=1000)
df = pd.DataFrame(np.random.randn(1000, 4), index=idx, columns=list('ABCD')).cumsum()
```
Import the hvPlot extension for your data source and optionally set the plotting backend:
```python
import hvplot.pandas
# Optional: hvplot.extension('matplotlib') or hvplot.extension('plotly')
```
Use the `.hvplot` API as you would use the Pandas or Xarray `.plot` API:
```python
df.hvplot()
```
[<img src="https://github.com/MarcSkovMadsen/awesome-panel-assets/blob/master/images/hvPlot/hvplot-intro-plot.gif?raw=true" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/index.html)
### Interactive data apps
Just add `.interactive` and replace your normal arguments with [Panel widgets](https://panel.holoviz.org/reference/index.html#widgets) or [Ipywidgets](https://ipywidgets.readthedocs.io/en/stable/examples/Widget%20List.html).
```python
import panel as pn
pn.extension()
df.interactive(width=600).head(n=pn.widgets.IntSlider(start=1, end=5, value=3))
```
[<img src="https://github.com/MarcSkovMadsen/awesome-panel-assets/blob/master/images/hvPlot/hvplot-intro-interactive.gif?raw=true" style="max-height:300px;border-radius:2%;">](https://hvplot.holoviz.org/user_guide/Interactive.html)
### How to find documentation from your notebook or editor
To see the available arguments for a specific `kind` of plot run
```python
hvplot.help(kind='scatter')
```
In a notebook or ipython environment the usual
- `help` and `?` will provide you with documentation.
- `TAB` and `SHIFT+TAB` completion will help you navigate.
## Examples
[<img src="http://blog.holoviz.org/images/hvplot_collage.png" style="max-height:400px;border-radius:2%;">](https://hvplot.holoviz.org/topics.html)
## License
hvPlot is completely free and open-source. It is licensed under the [BSD 3-Clause License](https://opensource.org/licenses/BSD-3-Clause).
## Support & Feedback
Get support from or provide feedback to the [HoloViz Community](https://holoviz.org/community.html).
## Contributions
We would love to work with you no matter whether you want to contribute to issue management, PRs, documentation, blog posts, community support or social media communication.
To get started with the code or docs check out the [Developer Guide](https://hvplot.holoviz.org/developer_guide/index.html).
Reach out on [Gitter](https://gitter.im/pyviz/pyviz) to discuss with the developers, join the weekly triaging or join the bi-weekly HoloViz call.
%prep
%autosetup -n hvplot-0.8.3
%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-hvplot -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 0.8.3-1
- Package Spec generated
|
