ndrive | Python wrapper for NAVER Ndrive | Wrapper library

by carpedm20 Python Version: 0.1.0 License: MIT

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

kandi X-RAY | ndrive Summary

ndrive is a Python library typically used in Utilities, Wrapper applications. ndrive has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install ndrive' or download it from GitHub, PyPI.

ndrive is a python wrapper for NAVER Ndrive (

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Quality

Security

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Support

ndrive has a low active ecosystem.

It has 31 star(s) with 8 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 68 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ndrive is 0.1.0

Quality

ndrive has 0 bugs and 0 code smells.

Security

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

ndrive code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ndrive 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

ndrive releases are not available. You will need to build from source code and install.

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.

ndrive saves you 824 person hours of effort in developing the same functionality from scratch.

It has 1890 lines of code, 123 functions and 13 files.

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

Top functions reviewed by kandi - BETA

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

Get cookie from NID
Encrypt a RSA key string
Join a list of strings
Delete a file
Determines completion directory completion
Return the completion list of the current working directory
Cd
Get list of files
Create a directory
Tab completion
Tab - complete file completion
Tab - complete directory completion

Get all kandi verified functions for this library.

ndrive Key Features

No Key Features are available at this moment for ndrive.

ndrive Examples and Code Snippets

No Code Snippets are available at this moment for ndrive.

Community Discussions

Trending Discussions on ndrive

How to colSum grouped by date

QUESTION

How to colSum grouped by date

Asked 2021-Apr-21 at 18:50

I have a large table with a comments column (contains large strings of text) and a date column on which the comment was posted. I created a separate vector of keywords (we'll call this key) and I want to count how many matches there are for each day. This gets me close, however it counts matches across the entire dataset, where I need it broken down by each day. The code:

...

ANSWER

Answered 2021-Apr-21 at 18:50

As pointed out in the comments, you can use group_by from dplyr to accomplish this.

First, you can extract keywords for each comment/sentence. Then unnest so each keyword is in a separate row with a date.

Then, use group_by with both date and comment included (to get frequency for combination of date and keyword together). The use of summarise with n() will give number of mentions.

Here's a complete example:

Source https://stackoverflow.com/questions/67197493

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