diff options
| author | CoprDistGit <infra@openeuler.org> | 2023-04-10 18:01:38 +0000 |
|---|---|---|
| committer | CoprDistGit <infra@openeuler.org> | 2023-04-10 18:01:38 +0000 |
| commit | 480a6aa33751dd0b7ac3a0028cbf5fc11cc3e442 (patch) | |
| tree | b6edbb45802a31517a6906eb06ab71d1da56670b | |
| parent | 5bffc2fc0f7530771df8b9914fa4b163fd0d2be1 (diff) | |
automatic import of python-hvplot
| -rw-r--r-- | .gitignore | 1 | ||||
| -rw-r--r-- | python-hvplot.spec | 657 | ||||
| -rw-r--r-- | sources | 1 |
3 files changed, 659 insertions, 0 deletions
@@ -0,0 +1 @@ +/hvplot-0.8.3.tar.gz diff --git a/python-hvplot.spec b/python-hvplot.spec new file mode 100644 index 0000000..84159c3 --- /dev/null +++ b/python-hvplot.spec @@ -0,0 +1,657 @@ +%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 +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-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 @@ -0,0 +1 @@ +50221d2e5b9fc08869b002004f246cdc hvplot-0.8.3.tar.gz |