%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 | | | | --- | --- | | Build Status | [![Build Status](https://github.com/holoviz/hvplot/workflows/tests/badge.svg?query=branch%3Amain)](https://github.com/holoviz/hvplot/actions?query=workflow%3Atests+branch%3Amain) | | Coverage | [![codecov](https://codecov.io/gh/holoviz/hvplot/branch/main/graph/badge.svg)](https://codecov.io/gh/holoviz/hvplot) | | Latest dev release | [![Github tag](https://img.shields.io/github/tag/holoviz/hvplot.svg?label=tag&colorB=11ccbb)](https://github.com/holoviz/hvplot/tags) [![dev-site](https://img.shields.io/website-up-down-green-red/https/pyviz-dev.github.io/hvplot.svg?label=dev%20website)](https://pyviz-dev.github.io/hvplot/) | | Latest release | [![Github release](https://img.shields.io/github/release/holoviz/hvplot.svg?label=tag&colorB=11ccbb)](https://github.com/holoviz/hvplot/releases) [![PyPI version](https://img.shields.io/pypi/v/hvplot.svg?colorB=cc77dd)](https://pypi.python.org/pypi/hvplot) [![hvplot version](https://img.shields.io/conda/v/pyviz/hvplot.svg?colorB=4488ff&style=flat)](https://anaconda.org/pyviz/hvplot) [![conda-forge version](https://img.shields.io/conda/v/conda-forge/hvplot.svg?label=conda%7Cconda-forge&colorB=4488ff)](https://anaconda.org/conda-forge/hvplot) [![defaults version](https://img.shields.io/conda/v/anaconda/hvplot.svg?label=conda%7Cdefaults&style=flat&colorB=4488ff)](https://anaconda.org/anaconda/hvplot) | | Python | [![Python support](https://img.shields.io/pypi/pyversions/hvplot.svg)](https://pypi.org/project/hvplot/) | | Docs | [![gh-pages](https://img.shields.io/github/last-commit/holoviz/hvplot/gh-pages.svg)](https://github.com/holoviz/hvplot/tree/gh-pages) [![site](https://img.shields.io/website-up-down-green-red/http/hvplot.holoviz.org.svg)](https://hvplot.holoviz.org) | | Binder | [![Binder](https://img.shields.io/badge/launch%20v0.8.1-binder-579aca.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/holoviz/hvplot/v0.8.1?urlpath=lab/tree/examples) | | Support | [![Discourse](https://img.shields.io/discourse/status?server=https%3A%2F%2Fdiscourse.holoviz.org)](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. ## 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. [](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. ## 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() ``` [](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)) ``` [](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 [](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 | | | | --- | --- | | Build Status | [![Build Status](https://github.com/holoviz/hvplot/workflows/tests/badge.svg?query=branch%3Amain)](https://github.com/holoviz/hvplot/actions?query=workflow%3Atests+branch%3Amain) | | Coverage | [![codecov](https://codecov.io/gh/holoviz/hvplot/branch/main/graph/badge.svg)](https://codecov.io/gh/holoviz/hvplot) | | Latest dev release | [![Github tag](https://img.shields.io/github/tag/holoviz/hvplot.svg?label=tag&colorB=11ccbb)](https://github.com/holoviz/hvplot/tags) [![dev-site](https://img.shields.io/website-up-down-green-red/https/pyviz-dev.github.io/hvplot.svg?label=dev%20website)](https://pyviz-dev.github.io/hvplot/) | | Latest release | [![Github release](https://img.shields.io/github/release/holoviz/hvplot.svg?label=tag&colorB=11ccbb)](https://github.com/holoviz/hvplot/releases) [![PyPI version](https://img.shields.io/pypi/v/hvplot.svg?colorB=cc77dd)](https://pypi.python.org/pypi/hvplot) [![hvplot version](https://img.shields.io/conda/v/pyviz/hvplot.svg?colorB=4488ff&style=flat)](https://anaconda.org/pyviz/hvplot) [![conda-forge version](https://img.shields.io/conda/v/conda-forge/hvplot.svg?label=conda%7Cconda-forge&colorB=4488ff)](https://anaconda.org/conda-forge/hvplot) [![defaults version](https://img.shields.io/conda/v/anaconda/hvplot.svg?label=conda%7Cdefaults&style=flat&colorB=4488ff)](https://anaconda.org/anaconda/hvplot) | | Python | [![Python support](https://img.shields.io/pypi/pyversions/hvplot.svg)](https://pypi.org/project/hvplot/) | | Docs | [![gh-pages](https://img.shields.io/github/last-commit/holoviz/hvplot/gh-pages.svg)](https://github.com/holoviz/hvplot/tree/gh-pages) [![site](https://img.shields.io/website-up-down-green-red/http/hvplot.holoviz.org.svg)](https://hvplot.holoviz.org) | | Binder | [![Binder](https://img.shields.io/badge/launch%20v0.8.1-binder-579aca.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/holoviz/hvplot/v0.8.1?urlpath=lab/tree/examples) | | Support | [![Discourse](https://img.shields.io/discourse/status?server=https%3A%2F%2Fdiscourse.holoviz.org)](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. ## 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. [](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. ## 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() ``` [](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)) ``` [](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 [](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 | | | | --- | --- | | Build Status | [![Build Status](https://github.com/holoviz/hvplot/workflows/tests/badge.svg?query=branch%3Amain)](https://github.com/holoviz/hvplot/actions?query=workflow%3Atests+branch%3Amain) | | Coverage | [![codecov](https://codecov.io/gh/holoviz/hvplot/branch/main/graph/badge.svg)](https://codecov.io/gh/holoviz/hvplot) | | Latest dev release | [![Github tag](https://img.shields.io/github/tag/holoviz/hvplot.svg?label=tag&colorB=11ccbb)](https://github.com/holoviz/hvplot/tags) [![dev-site](https://img.shields.io/website-up-down-green-red/https/pyviz-dev.github.io/hvplot.svg?label=dev%20website)](https://pyviz-dev.github.io/hvplot/) | | Latest release | [![Github release](https://img.shields.io/github/release/holoviz/hvplot.svg?label=tag&colorB=11ccbb)](https://github.com/holoviz/hvplot/releases) [![PyPI version](https://img.shields.io/pypi/v/hvplot.svg?colorB=cc77dd)](https://pypi.python.org/pypi/hvplot) [![hvplot version](https://img.shields.io/conda/v/pyviz/hvplot.svg?colorB=4488ff&style=flat)](https://anaconda.org/pyviz/hvplot) [![conda-forge version](https://img.shields.io/conda/v/conda-forge/hvplot.svg?label=conda%7Cconda-forge&colorB=4488ff)](https://anaconda.org/conda-forge/hvplot) [![defaults version](https://img.shields.io/conda/v/anaconda/hvplot.svg?label=conda%7Cdefaults&style=flat&colorB=4488ff)](https://anaconda.org/anaconda/hvplot) | | Python | [![Python support](https://img.shields.io/pypi/pyversions/hvplot.svg)](https://pypi.org/project/hvplot/) | | Docs | [![gh-pages](https://img.shields.io/github/last-commit/holoviz/hvplot/gh-pages.svg)](https://github.com/holoviz/hvplot/tree/gh-pages) [![site](https://img.shields.io/website-up-down-green-red/http/hvplot.holoviz.org.svg)](https://hvplot.holoviz.org) | | Binder | [![Binder](https://img.shields.io/badge/launch%20v0.8.1-binder-579aca.svg?logo=data:image/png;base64,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)](https://mybinder.org/v2/gh/holoviz/hvplot/v0.8.1?urlpath=lab/tree/examples) | | Support | [![Discourse](https://img.shields.io/discourse/status?server=https%3A%2F%2Fdiscourse.holoviz.org)](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. ## 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. [](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. ## 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() ``` [](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)) ``` [](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 [](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 * Sun Apr 23 2023 Python_Bot - 0.8.3-1 - Package Spec generated