dataframe-js | javascript library providing a new data structure

by Gmousse JavaScript Version: 1.4.4 License: MIT

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

kandi X-RAY | dataframe-js Summary

dataframe-js is a JavaScript library typically used in Data Science, Pandas applications. dataframe-js has no vulnerabilities, it has a Permissive License and it has low support. However dataframe-js has 1 bugs. You can install using 'npm i dataframe-js' or download it from GitHub, npm.

A javascript library providing a new data structure for datascientists and developpers

Support

Quality

Security

License

Reuse

Support

dataframe-js has a low active ecosystem.

It has 438 star(s) with 39 fork(s). There are 18 watchers for this library.

It had no major release in the last 12 months.

There are 30 open issues and 86 have been closed. On average issues are closed in 178 days. There are 6 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of dataframe-js is 1.4.4

Quality

dataframe-js has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 0 code smells.

Security

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

dataframe-js code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

dataframe-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

dataframe-js releases are available to install and integrate.

Deployable package is available in npm.

Installation instructions, examples and code snippets are available.

dataframe-js saves you 1703 person hours of effort in developing the same functionality from scratch.

It has 3773 lines of code, 0 functions and 42 files.

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

Top functions reviewed by kandi - BETA

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

Send XML request
Rewrite data generator
Parse a CSV string .
Evaluate the delegate .
Invoke generator .
Creates an async iterator .
Parses a text .
Parses SELECT statement
Compiles an array by column names
Returns an array of iterator values .

Get all kandi verified functions for this library.

dataframe-js Key Features

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

dataframe-js Examples and Code Snippets

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

Community Discussions

Trending Discussions on dataframe-js

Google apps script: using libraries across different scripts giving me different behavior

Slice Pandas Column containing dic value

QUESTION

Google apps script: using libraries across different scripts giving me different behavior

Asked 2021-Sep-19 at 03:16

I'm using dataframe-js. https://gmousse.gitbooks.io/dataframe-js/content/doc/api/dataframe.html

I have paste the code into a .gs file in a script1.

this code works in script1.

...

ANSWER

Answered 2021-Sep-19 at 03:16

When I tested console.log(script1.dfjs.DataFrame) at the client-side, I confirmed that the script works. So, from the error message of ArgumentTypeError: Array while expecting DataFrame | Array | Object., I thought that it might be required to pass the array data by value as the string. I thought that the reason for this issue might be due to this of library side and client-side are different. So when the following modification is reflected in your situation, what result will you obtain?

For library side:

Please copy and paste the following script to the script file of the library side.

Source https://stackoverflow.com/questions/69239840

QUESTION

Slice Pandas Column containing dic value

Asked 2021-Sep-14 at 15:22

Below is my DF:

...

ANSWER

Answered 2021-Sep-14 at 15:00

def change_key(x):
    for data_dict in x:
        for key in list(data_dict.keys()):
            data_dict[f'Other_Name_{key}'] = data_dict.pop(key)

    return x

df.loc[~df['Other_Name'].isnull(), 'Other_Name'] = df[~df['Other_Name'].isnull()]['Other_Name'].apply(change_key)
print(df)

Source https://stackoverflow.com/questions/69179608

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

Vulnerabilities

No vulnerabilities reported

Install dataframe-js

via git: npm install git+https://github.com/Gmousse/dataframe-js.git. via npm: npm install dataframe-js. via yarn: yarn add dataframe-js.
for production <script src="https://gmousse.github.io/dataframe-js/dist/dataframe.min.js"></script> (~ 80ko)
for development <script src="https://gmousse.github.io/dataframe-js/dist/dataframe.js"></script> (~ 300ko)

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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