jupyter_pivottablejs | Drag ’ n ’ drop Pivot Tables and Charts for Jupyter/IPython | Data Visualization library

by nicolaskruchten Python Version: v0.9.0 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | jupyter_pivottablejs Summary

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

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

Support

Quality

Security

License

Reuse

Support

jupyter_pivottablejs has a low active ecosystem.

It has 572 star(s) with 74 fork(s). There are 22 watchers for this library.

It had no major release in the last 12 months.

There are 21 open issues and 41 have been closed. On average issues are closed in 183 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of jupyter_pivottablejs is v0.9.0

Quality

jupyter_pivottablejs has 0 bugs and 0 code smells.

Security

jupyter_pivottablejs has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

jupyter_pivottablejs code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

jupyter_pivottablejs has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

jupyter_pivottablejs releases are available to install and integrate.

Deployable package is available in PyPI.

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

jupyter_pivottablejs saves you 41 person hours of effort in developing the same functionality from scratch.

It has 110 lines of code, 1 functions and 2 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Generate a pivot table .

Get all kandi verified functions for this library.

jupyter_pivottablejs Key Features

No Key Features are available at this moment for jupyter_pivottablejs.

jupyter_pivottablejs Examples and Code Snippets

No Code Snippets are available at this moment for jupyter_pivottablejs.

Community Discussions

Trending Discussions on jupyter_pivottablejs

Save configuration of pivottablejs in Jupyter notebook

Reproduce example pivottable.js in jupyter notebook

QUESTION

Save configuration of pivottablejs in Jupyter notebook

Asked 2019-Dec-20 at 14:51

I am using google Colab (Jupyter python notebook on a server) to run the pivot table.

This code:

...

ANSWER

Answered 2019-Dec-20 at 14:51

My hacky solution

I rewrote part of the pivottablejs package to add a "copy config" button. I put this code in an earlier cell in by Jupyter notebook, so the function would be accessible later:

Version for Google Colab:

Source https://stackoverflow.com/questions/58452635

QUESTION

Reproduce example pivottable.js in jupyter notebook

Asked 2018-Jan-30 at 17:10

I am trying to reproduce the example of pivottable.js in jupyter notebook (here https://github.com/nicolaskruchten/jupyter_pivottablejs/tree/master/example) but I get an error :

Code (df is a pandas dataframe from a mps.csv in link above)

...

ANSWER

Answered 2018-Jan-30 at 17:10

Apparently the name pivottablejs is overridden by some old version on conda and the original author is trying to solve this...

But it works if installing with pip instead.

So run conda remove pivottablejs and then pip install pivottablejs and it should work.

Source https://stackoverflow.com/questions/48517928

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

Vulnerabilities

No vulnerabilities reported

Install jupyter_pivottablejs

You can install using 'pip install jupyter_pivottablejs' or download it from GitHub, PyPI.
You can use jupyter_pivottablejs like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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