mcec | Robust remote control of Windows PCs over the network

by tig C# Version: v2.3.0.1 License: MIT

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

kandi X-RAY | mcec Summary

mcec is a C# library typically used in Telecommunications, Media, Advertising, Marketing, Internet of Things (IoT), Raspberry Pi applications. mcec has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Robust remote control of Windows PCs over the network.

Support

Quality

Security

License

Reuse

Support

mcec has a low active ecosystem.

It has 63 star(s) with 13 fork(s). There are 6 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 26 have been closed. On average issues are closed in 157 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of mcec is v2.3.0.1

Quality

mcec has 0 bugs and 0 code smells.

Security

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

mcec code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

mcec 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

mcec releases are available to install and integrate.

mcec saves you 328 person hours of effort in developing the same functionality from scratch.

It has 788 lines of code, 0 functions and 105 files.

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

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mcec Key Features

No Key Features are available at this moment for mcec.

mcec Examples and Code Snippets

No Code Snippets are available at this moment for mcec.

Community Discussions

Trending Discussions on mcec

Inserting a new Column in existing pandas dataframe

QUESTION

Inserting a new Column in existing pandas dataframe

Asked 2021-May-18 at 20:01

I'm working on an Machine Learning Assignment where I go over the bug database, do a multi-class classification and then insert a new column with the classified text. As part of debug , when i run that particular cell again, it says column already exists. i was just wondering if there is a way to get over it (other than the usual Exception handling).

The piece of code that i have written is as follows:

...

ANSWER

Answered 2021-May-18 at 20:01

It's not working because you already have a column with that name. If you are ok with having duplicate columns then, you can pass allow_duplicates=True.

df.insert(len(df.columns),"Trigger_Type", cat_1, allow_duplicates=True)

Otherwise, you will have to rename the column to something else.

If you want to completely replace the column, you can also use:

df['Trigger_Type'] = cat1

Source https://stackoverflow.com/questions/67592757

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

Vulnerabilities

No vulnerabilities reported

Install mcec

You can download it from GitHub.

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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