https://github.com/holoviz/hvplot

A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews

Science Score: 36.0%

This score indicates how likely this project is to be science-related based on various indicators:

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CITATION.cff file
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codemeta.json file
Found codemeta.json file
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.zenodo.json file
Found .zenodo.json file
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DOI references
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Academic publication links
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Committers with academic emails
3 of 51 committers (5.9%) from academic institutions
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Institutional organization owner
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JOSS paper metadata
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Scientific vocabulary similarity
Low similarity (12.2%) to scientific vocabulary

Keywords

datashader holoviews holoviz plotting

Keywords from Contributors

dataviz plotly bokeh control-panels dataapp datascience hvplot panel colormaps colorcet

Last synced: 6 months ago · JSON representation

Repository

A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews

Basic Info

Host: GitHub
Owner: holoviz
License: bsd-3-clause
Language: Python
Default Branch: main
Homepage: https://hvplot.holoviz.org
Size: 54.2 MB

Statistics

Stars: 1,258
Watchers: 24
Forks: 113
Open Issues: 386
Releases: 26

Topics

datashader holoviews holoviz plotting

Created almost 8 years ago · Last pushed 6 months ago

Metadata Files

Readme Changelog Contributing Funding License Code of conduct

README.md

hvPlot makes data analysis and visualization simple

| | | | --- | --- | | Downloads | | Build Status | | | Coverage | | | Latest dev release | | | Latest release | | | Python | | | Docs | | | Binder | | | Support | |

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, Polars, 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.

Mini getting-started

Head over to the getting started guide 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()

Interactive data apps

Just add .interactive and replace your normal arguments with Panel widgets or Ipywidgets.

```python 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

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.

Support & Feedback

Usage questions and showcases -> HoloViz Community
Bug reports and feature requests -> Github
Developer discussions -> Discord

For more detail check out the HoloViz Community Guide.

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.

Owner

Name: HoloViz
Login: holoviz
Kind: organization

Website: https://holoviz.org
Repositories: 14
Profile: https://github.com/holoviz

High-level tools to simplify visualization in Python

GitHub Events

Total

Create event: 64
Release event: 4
Issues event: 146
Watch event: 116
Delete event: 50
Member event: 1
Issue comment event: 239
Push event: 203
Pull request review comment event: 268
Pull request review event: 246
Pull request event: 146
Fork event: 6

Last Year

Create event: 64
Release event: 4
Issues event: 146
Watch event: 116
Delete event: 50
Member event: 1
Issue comment event: 239
Push event: 203
Pull request review comment event: 268
Pull request review event: 246
Pull request event: 146
Fork event: 6

Committers

Last synced: 9 months ago

All Time

Total Commits: 781
Total Committers: 51
Avg Commits per committer: 15.314
Development Distribution Score (DDS): 0.618

Past Year

Commits: 99
Committers: 10
Avg Commits per committer: 9.9
Development Distribution Score (DDS): 0.556

Top Committers

Name	Email	Commits
Philipp Rudiger	P**r@e**k	298
Maxime Liquet	3****t	187
Julia Signell	j**l@g**m	75
Simon Høxbro Hansen	s**n@m**m	51
Andrew	1****1	46
Azaya	9****9	19
James A. Bednar	j**r@c**o	19
Marc Skov Madsen	m**n@g**m	15
Jean-Luc Stevens	j**s@g**m	9
Demetris Roumis	r**d@g**m	5
Chris B	c****l	5
Mridul Seth	s**l@g**m	3
kbowen	k**0@g**m	3
Iury Simoes-Sousa	i**t@p**e	3
Ray Bell	r**0@g**m	3
Todd	t**n@g**m	2
Michael Aye	m****e	2
Tony Fast	t**t@g**m	2
Marco Edward Gorelli	m**i@p**m	2
Blythe Davis	7****d	1
AurelienSciarra	3****a	1
Brian Larsen	B**L@h**m	1
rdesai9	5****9	1
Anita Graser	a**r@g**t	1
Aaron Spring	a****g	1
loicduffar	3****r	1
liufeimath	l**h@g**m	1
jordansamuels	j**s@g**m	1
dogbunny	1****y	1
bikegeek	3****k	1
and 21 more...

Committer Domains (Top 20 + Academic)

anaconda.com: 1 fias.uni-frankfurt.de: 1 free.fr: 1 utah.edu: 1 palmr.co.uk: 1 gmx.at: 1 pm.me: 1 continuum.io: 1 me.com: 1 ed.ac.uk: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time

Total issues: 399
Total pull requests: 351
Average time to close issues: 6 months
Average time to close pull requests: 30 days
Total issue authors: 150
Total pull request authors: 25
Average comments per issue: 1.9
Average comments per pull request: 1.4
Merged pull requests: 258
Bot issues: 0
Bot pull requests: 0

Past Year

Issues: 109
Pull requests: 105
Average time to close issues: 24 days
Average time to close pull requests: 7 days
Issue authors: 36
Pull request authors: 7
Average comments per issue: 0.6
Average comments per pull request: 0.93
Merged pull requests: 74
Bot issues: 0
Bot pull requests: 0

View more stats

Top Authors

Issue Authors

maximlt (73)
MarcSkovMadsen (49)
ahuang11 (40)
Azaya89 (22)
jbednar (8)
droumis (7)
LinuxIsCool (7)
hoxbro (6)
JanHomann (6)
yt87 (5)
mosc9575 (4)
iuryt (4)
martindurant (4)
LecrisUT (4)
jmakov (4)

Pull Request Authors

maximlt (162)
ahuang11 (60)
Azaya89 (33)
Hoxbro (22)
hoxbro (17)
philippjfr (11)
jsignell (8)
MarcSkovMadsen (6)
droumis (5)
iuryt (5)
MarcoGorelli (3)
SultanOrazbayev (2)
liufeimath (2)
kevinheavey (2)
philipc2 (2)

Top Labels

Issue Labels

type: bug (71) TRIAGE (61) type: enhancement (37) type: docs (32) needs info (14) type: upstream (14) api: explorer (13) type: discussion (11) geo (10) api: interactive (8) good first issue (8) explorer (8) api: geo (6) interface: xarray (6) NF SDG 2025 (5) interface: networkx (4) interface: streamz (4) backend: plotly (2) interface: intake (2) tag: feature: subcoordinate_y (1) deprecate (1) upstream (1) api: datashader (1) interface: pandas (1) interactive (1)

Pull Request Labels

NF SDG 2025 (13) type: enhancement (4) type: bug (2) type: upstream (1) in progress (1) Sprint (1) type: docs (1) polars (1)

Packages

Total packages: 2
Total downloads:
- pypi 265,939 last-month
Total docker downloads: 17,556,752

Total dependent packages: 86
(may contain duplicates)
Total dependent repositories: 952
(may contain duplicates)
Total versions: 110
Total maintainers: 2

pypi.org: hvplot

A high-level plotting API for the PyData ecosystem built on HoloViews.

Homepage: https://hvplot.holoviz.org
Documentation: https://hvplot.readthedocs.io/
License: BSD
Latest release: 0.12.1
published 6 months ago

Versions: 88
Dependent Packages: 82
Dependent Repositories: 566
Downloads: 265,939 Last month
Docker Downloads: 17,556,752

Rankings

Dependent packages count: 0.3%

Dependent repos count: 0.6%

Average: 0.6%

Docker downloads count: 0.7%

Downloads: 0.9%

Maintainers (2)

ioam pyviz

Last synced: 6 months ago

anaconda.org: hvplot

A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews

Homepage: https://hvplot.holoviz.org
License: BSD-3-Clause
Latest release: 0.12.1
published 6 months ago

Versions: 22
Dependent Packages: 4
Dependent Repositories: 386

Rankings

Dependent repos count: 8.6%

Dependent packages count: 11.1%

Average: 19.9%

Stargazers count: 26.8%

Forks count: 33.2%

Last synced: 6 months ago

Dependencies

.github/workflows/build.yaml actions

actions/checkout v3 composite
actions/setup-python v4 composite
conda-incubator/setup-miniconda v2 composite

.github/workflows/docs.yaml actions

actions/checkout v3 composite
conda-incubator/setup-miniconda v2 composite
peaceiris/actions-gh-pages v3 composite

.github/workflows/test.yaml actions

actions/cache v2 composite
actions/cache v3 composite
actions/checkout v3 composite
actions/setup-python v4 composite
conda-incubator/setup-miniconda v2 composite
pre-commit/action v3.0.0 composite
pyviz-dev/holoviz_tasks/install v0.1a9 composite

setup.py pypi

bokeh *
colorcet *
holoviews *
numpy >=1.15
packaging *
pandas *
panel *

pyproject.toml pypi

binder/environment.yml conda

cartopy >=0.18.0
dask >=2021.3.0
datashader >=0.6.5
fiona >=1.8.18
geopandas >=0.9.0
geoviews >=1.6.0
intake >=0.6.5
intake-parquet >=0.2.3
intake-xarray >=0.5.0
matplotlib
networkx >=2.6.3
notebook >=5.4
numba >=0.51.0
pillow >=8.2.0
pip
plotly
pooch >=1.6.0
pyepsg >=0.4.0
pygraphviz
pyproj >=3.0.1
python-snappy >=0.6.0
rasterio >=1.2.6
s3fs >=2022.1.0
scikit-image >=0.17.2
scipy >=1.5.3
selenium >=3.141.0
spatialpandas >=0.4.3
streamz >=0.3.0
xarray >=0.18.2