A high-level plotting API for the PyData ecosystem built on HoloViews.
hvPlot makes data analysis and visualization simple
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hvPlot provides a familiar, high-level API for visualization
The API is based on the familiar Pandas
.plot API and the innovative
hvPlot works with the tools you know and love
- supports a wide range of data sources including Pandas, XArray, Dask, Streamz, Intake, GeoPandas and NetworkX.
- supports the plotting backends Bokeh, Matplotlib and Plotly.
- exposes the powerful tools from the HoloViz ecosystem in a familiar and convenient API.
hvPlot is the simplest way to benefit from the HoloViz ecosystem for data exploration.
hvPlot can be used for exploration, reporting and data apps
Check out this blog post to see how easy it is to create an interactive dashboard with hvPlot and Panel.
Head over to the getting started guide for more!
hvPlot can be installed on Linux, Windows, or Mac with
conda install -c pyviz hvplot
pip install hvplot
Please note that for versions of
jupyterlab<3.0, you must install the JupyterLab extension manually with:
jupyter labextension install @pyviz/jupyterlab_pyviz
Work with your data source:
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:
import hvplot.pandas # Optional: hvplot.extension('matplotlib') or hvplot.extension('plotly')
.hvplot API as you would use the Pandas or Xarray
Interactive data apps
.interactive and replace your normal arguments with Panel widgets or Ipywidgets.
import panel as pn pn.extension() df.interactive(width=600).head(n=pn.widgets.IntSlider(start=1, end=5, value=3))
How to find documentation from your notebook or editor
To see the available arguments for a specific
kind of plot run
In a notebook or ipython environment the usual
?will provide you with documentation.
SHIFT+TABcompletion will help you navigate.
hvPlot is completely free and open-source. It is licensed under the BSD 3-Clause License.
Support & Feedback
Get support from or provide feedback to the HoloViz Community.
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.
Reach out on Gitter to discuss with the developers, join the weekly triaging or join the bi-weekly HoloViz call.
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