pandas-js | Pandas in JavaScript for data analysis and visualization | Data Visualization library

by StratoDem JavaScript Version: 0.2.4 License: MIT

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

kandi X-RAY | pandas-js Summary

pandas-js is a JavaScript library typically used in Analytics, Data Visualization, Pandas, D3 applications. pandas-js has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i pandas-js' or download it from GitHub, npm.

Pandas in JavaScript for data analysis and visualization

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Quality

Security

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Support

pandas-js has a low active ecosystem.

It has 393 star(s) with 37 fork(s). There are 18 watchers for this library.

It had no major release in the last 12 months.

There are 17 open issues and 26 have been closed. On average issues are closed in 43 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of pandas-js is 0.2.4

Quality

pandas-js has 0 bugs and 0 code smells.

Security

pandas-js has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pandas-js code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pandas-js 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-js releases are available to install and integrate.

Deployable package is available in npm.

Installation instructions, examples and code snippets are available.

pandas-js saves you 48 person hours of effort in developing the same functionality from scratch.

It has 128 lines of code, 4 functions and 61 files.

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

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pandas-js Key Features

No Key Features are available at this moment for pandas-js.

pandas-js Examples and Code Snippets

No Code Snippets are available at this moment for pandas-js.

Community Discussions

Trending Discussions on pandas-js

How to flatten a nested JSON into a pandas dataframe

QUESTION

How to flatten a nested JSON into a pandas dataframe

Asked 2021-Mar-03 at 22:07

I have a bit of a tricky JSON I want to put into a dataframe.

...

ANSWER

Answered 2021-Jan-23 at 03:33

Given your data, each top level key (e.g. 'A' and 'B') is repeated as a value in 'name', therefore it will be easier to use pandas.json_normalize on only the values of the dict.
The 'left_foot' and 'right_foot' columns need be exploded to remove each dict from the list
The final step converts the columns of dicts to a dataframe and joins it back to df
It's not necessarily less code, but this should be significantly faster than the multiple applies used in the current code.
- See this timing analysis comparing apply pandas.Series to just using pandas.DataFrame to convert a column.
If there are issues because your dataframe has NaN (e.g. missing dicts or lists) in the columns to be exploded and converted to a dataframe, see How to json_normalize a column with NaNs

Source https://stackoverflow.com/questions/65851044

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

Vulnerabilities

No vulnerabilities reported

Install pandas-js

Importing Series and DataFrame. Create a new Series. Filtering can be done with generic methods. Create a new DataFrame.
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Testing uses Jest. Building requires the babel compiler.