Pandas-Bokeh | Bokeh Plotting Backend for Pandas and GeoPandas | Data Visualization library

by PatrikHlobil Python Version: 0.5.5 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | Pandas-Bokeh Summary

Pandas-Bokeh is a Python library typically used in Analytics, Data Visualization, Pandas applications. Pandas-Bokeh has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However Pandas-Bokeh has 42 bugs. You can install using 'pip install Pandas-Bokeh' or download it from GitHub, PyPI.

Pandas-Bokeh provides a Bokeh plotting backend for Pandas, GeoPandas and Pyspark DataFrames, similar to the already existing Visualization feature of Pandas. Importing the library adds a complementary plotting method plot_bokeh() on DataFrames and Series.

Support

Quality

Security

License

Reuse

Support

Pandas-Bokeh has a low active ecosystem.

It has 687 star(s) with 83 fork(s). There are 20 watchers for this library.

It had no major release in the last 12 months.

There are 21 open issues and 60 have been closed. On average issues are closed in 91 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Pandas-Bokeh is 0.5.5

Quality

Pandas-Bokeh has 42 bugs (0 blocker, 0 critical, 34 major, 8 minor) and 120 code smells.

Security

Pandas-Bokeh has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Pandas-Bokeh code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Pandas-Bokeh is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

Pandas-Bokeh releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed Pandas-Bokeh and discovered the below as its top functions. This is intended to give you an instant insight into Pandas-Bokeh implemented functionality, and help decide if they suit your requirements.

Generate start image
Load Iris dataset
Plot a grid
Build HTML from a figure
Get Bokeh resources
Displays an object
Plot barplot
Draws a bar plot
Draw horizontal bar plot
Returns a pandas DataFrame with a Pandas dataframe
Plot histogram
Create a histogram plot
Returns a DataFrame containing histogram data
Output notebook
Detect IPython server server
Generate a scatter plot using the Bokeh model
Draw scatter plot
Plots Apple vs Google Price Prices
Return a pandas DataFrame containing stock stocks
Plots Apple Applevs
Replace images with bokeh plots
Remove interactive documentation section
Plots a point plot
Plot a step plot
Plot Barplot2
Make and return a dict of plot functions

Get all kandi verified functions for this library.

Pandas-Bokeh Key Features

No Key Features are available at this moment for Pandas-Bokeh.

Pandas-Bokeh Examples and Code Snippets

No Code Snippets are available at this moment for Pandas-Bokeh.

Community Discussions

Trending Discussions on Pandas-Bokeh

updating pandas-bokeh charts with additional elements

QUESTION

updating pandas-bokeh charts with additional elements

Asked 2021-Jun-11 at 14:53

I'm working in a Jupyter Notebook with pandas and pandas-bokeh.

I can create a chart no problem, but when I want to add an element (like a Span), I can't figure out how to avoid getting a second copy of the chart displayed in the notebook.

Is there a way to any of these:

Delay drawing the figure until I'm ready to show() it?
Update the existing figure in place?
Delete the existing figure before drawing the second figure?

This code demonstrates the issue:

...

ANSWER

Answered 2021-Jun-11 at 14:53

Found the answer in the docs (imagine that).

Had to add the option show_figure=False to the figure creation line to prevent it from being shown on figure creation:

Source https://stackoverflow.com/questions/67938730

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Pandas-Bokeh

You can install Pandas-Bokeh from PyPI via pip. With the current release 0.5.5, Pandas-Bokeh officially supports Python 3.6 and newer. For more details, see Release Notes.

Support

for an interactive version of the documentation below, where you can play with the dynamic Bokeh plots. For more information have a look at the Examples below or at notebooks on the Github Repository of this project.

Find more information at: