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https://github.com/holoviz/hvplot
A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews
https://github.com/holoviz/hvplot
datashader holoviews holoviz plotting
Last synced: 5 days ago
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A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews
- Host: GitHub
- URL: https://github.com/holoviz/hvplot
- Owner: holoviz
- License: bsd-3-clause
- Created: 2018-03-19T14:22:41.000Z (over 6 years ago)
- Default Branch: main
- Last Pushed: 2024-04-12T20:30:47.000Z (7 months ago)
- Last Synced: 2024-04-14T03:12:33.574Z (7 months ago)
- Topics: datashader, holoviews, holoviz, plotting
- Language: Python
- Homepage: https://hvplot.holoviz.org
- Size: 47 MB
- Stars: 933
- Watchers: 24
- Forks: 98
- Open Issues: 338
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- awesome-meteo - hvPlot - level plotting API for pandas, dask, xarray, and networkx (Uncategorized / Uncategorized)
- awesome-python-machine-learning-resources - GitHub - 37% open · ⏱️ 25.08.2022): (数据可视化)
README
# hvPlot makes data analysis and visualization simple 
| | |
| --- | --- |
| Downloads |  
| 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://holoviz-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) |
| 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.
## hvPlot works with the tools you know and love
hvPlot
- supports a wide range of data sources including [Pandas](http://pandas.pydata.org), [Polars](https://docs.pola.rs/), [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 hvplot
```
or with ``pip``:
```bash
pip install hvplot
```
### 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.
## 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
- Usage questions and showcases -> [HoloViz Community](https://holoviz.org/community.html)
- Bug reports and feature requests -> [Github](https://github.com/holoviz/hvplot)
- Developer discussions -> [Discord](https://discord.gg/rb6gPXbdAr)
For more detail check out the [HoloViz Community Guide](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).