Package Health Score

55 / 100

security
Security review needed
popularity
Popular
maintenance
Inactive
community
Sustainable

Popularity

Popular

GitHub Stars: 879
Forks: 112
Contributors: 10

Direct Usage Popularity

Based on project statistics from the GitHub repository for the PyPI package pandas-bokeh, we found that it has been starred 879 times.

Security

Security review needed

Security and license risk for latest version

Release Date: Apr 11, 2021
Direct Vulnerabilities: 0
C
0
H
0
M
0
L
Indirect Vulnerabilities: 0
C
0
H
0
M
0
L
License Risk: 0
H
0
M
0
L

All security vulnerabilities belong to production dependencies of direct and indirect packages.

License

MIT

Security Policy

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Maintenance

Inactive

Commit Frequency

No Recent Commits

Open Issues: 35
Open PR: 6
Last Release: 4 years ago
Last Commit: 2 years ago

Further analysis of the maintenance status of pandas-bokeh based on released PyPI versions cadence, the repository activity, and other data points determined that its maintenance is Inactive.

An important project maintenance signal to consider for pandas-bokeh is that it hasn't seen any new versions released to PyPI in the past 12 months, and could be considered as a discontinued project, or that which receives low attention from its maintainers.

As a healthy sign for on-going project maintenance, we found that the GitHub repository had at least 1 pull request or issue interacted with by the community.

Community

Sustainable

Readme: Yes
Contributing.md: Yes
Code of Conduct: No
Contributors: 10
Funding: No

This project has seen only 10 or less contributors.

We found a way for you to contribute to the project! Looks like pandas-bokeh is missing a Code of Conduct.

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Package

Python Versions Compatibility: >=3.6

Age: 6 years
Latest Release: 4 years ago
Dependencies: 2 Direct / 13 Total
Versions: 16
Maintainers: 1
Wheels: OS Independent

Readme

Pandas Bokeh

Pandas Bokeh provides a Bokeh plotting backend for Pandas and GeoPandas, similar to the already existing Visualization feature of Pandas. Importing the library adds a complementary plotting method plot_bokeh() on DataFrames and Series. It also has native plotting backend support for Pandas >= 0.25.

For more information and examples have a look at the Github Repository.

Installation

You can install Pandas Bokeh from PyPI via pip:

pip install pandas-bokeh

or conda:

conda install -c patrikhlobil pandas-bokeh

Pandas Bokeh is officially supported on Python 3.5 and above.

Description

With Pandas Bokeh, creating stunning, interactive, HTML-based visualization is as easy as calling:

df.plot_bokeh()

In release 0.5.5, the following plot types are supported:

line
step
point
scatter
bar
histogram
area
pie
mapplot

Furthermore, also GeoPandas and Pyspark have a new plotting backend as can be seen in the provided examples.

Pandas Bokeh is a high-level API for Bokeh on top of Pandas and GeoPandas that tries to figure out best, what the user wants to plot. Nevertheless, there are many options for customizing the plots, for example:

figsize: Choose width & height of the plot
title: Sets title of the plot
xlim/ylim: Set visible range of plot for x- and y-axis (also works for datetime x-axis)
xlabel/ylabel: Set x- and y-labels
logx/logy: Set log-scale on x-/y-axis
xticks/yticks: Explicitly set the ticks on the axes
colormap: Defines the colors to plot. Can be either a list of colors or the name of a Bokeh color palette
hovertool_string: For customization of hovertool content

Each plot type like scatterplot or histogram further has many more additional customization options that is described here.

pandas-bokeh dependencies

bokeh pandas

FAQs

What is pandas-bokeh?

Bokeh plotting backend for Pandas, GeoPandas & Pyspark. Visit Snyk Advisor to see a full health score report for pandas-bokeh, including popularity, security, maintenance & community analysis.

Is pandas-bokeh popular?

The python package pandas-bokeh receives a total of 12,624 weekly downloads. As such, pandas-bokeh popularity was classified as a popular. Visit the popularity section on Snyk Advisor to see the full health analysis.

Is pandas-bokeh well maintained?

We found indications that pandas-bokeh is an Inactive project. See the full package health analysis to learn more about the package maintenance status.

Is pandas-bokeh safe to use?

While scanning the latest version of pandas-bokeh, we found that a security review is needed. A total of 0 vulnerabilities or license issues were detected. See the full security scan results.

Last updated on 20 November-2024, at 21:07 (UTC).

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pandas-bokeh

Bokeh plotting backend for Pandas, GeoPandas & Pyspark For more information about how to use this package see README

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Package Health Score

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Package

Readme

Pandas Bokeh

Installation

Description

pandas-bokeh dependencies

FAQs

What is pandas-bokeh?

Is pandas-bokeh popular?

Is pandas-bokeh well maintained?

Is pandas-bokeh safe to use?

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Package Health Score

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Readme

Pandas Bokeh

Installation

Description

pandas-bokeh dependencies

FAQs

What is pandas-bokeh?

Is pandas-bokeh popular?

Is pandas-bokeh well maintained?

Is pandas-bokeh safe to use?

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Source Code

Open Source

Container

Config

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