rkernel | Minimal x86_64 OS kernel written in Rust

by littledivy Rust Version: Current License: No License

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

kandi X-RAY | rkernel Summary

rkernel is a Rust library. rkernel has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

A minimal x86_64 Rust OS kernel.

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Support

rkernel has a low active ecosystem.

It has 28 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of rkernel is current.

Quality

rkernel has no bugs reported.

Security

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

License

rkernel does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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rkernel Key Features

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rkernel Examples and Code Snippets

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Community Discussions

Trending Discussions on rkernel

How to use `hclust` function from R in Python via Rpy2 (v3)?

displaying ggplot graphs in jupyter notebook

QUESTION

How to use `hclust` function from R in Python via Rpy2 (v3)?

Asked 2020-May-04 at 20:58

There are a lot of changes between rpy2 v2 and v3. I'm porting my code and patching up some compatibility issues. One thing I can't figure out is how to get hclust to work. Specifically from the fastcluster package but I can't even get base hclust to work.

A few things I do not understand: (1) Should I use R["as.dist"](rkernel) or R("as.dist")(rkernel) ? (2) Why does this return a numpy array when I'm calling it within R? (3) How can I get this disimilarity object to work with hclust and fastcluster::hclust?

I'm using rpy2 v3.3.2 btw.

I was using something similar to this but it's not working anymore: feeding distance matrix to R clustering from Rpy2

...

ANSWER

Answered 2020-Apr-24 at 16:49

You probably want to use a data frame rather than a matrix (as your comments indicate), so you should use df_dism rather than df_dism.values (which gives a numpy array).

Further, to use pandas conversion you need to adjust the conversion functions to work with rpy2 3.x:

Source https://stackoverflow.com/questions/61398908

QUESTION

displaying ggplot graphs in jupyter notebook

Asked 2018-Sep-07 at 18:09

Using Jupyter Notebook to do R in Windows 10. Although I much prefer RStudio, for reasons not worth getting into, I cannot use it. I moved a notebook I made on RStudio from my personal computer to my work computer and was not able to generate the same graphs inline on jupyter. I could save them fine onto the disk though.

Anyone know why it's not working? This is similar to r graphs in jupyter - unable to start png() device Displaying ggplot2 graphs from R in Jupyter

But not exactly. Anyone know why I am unable to get graphs to show? I discovered that if I restart the Rkernel I can get one graph to show but not more.

...

ANSWER

Answered 2018-Sep-07 at 18:09

I am not quite sure why it was complaining but after looking at what other graphing packages suggest, I found that I needed to install pandoc and restart jupyter.

You can install pandoc from here: https://github.com/jgm/pandoc/releases/tag/1.16.0.2

Source https://stackoverflow.com/questions/52227671

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

Vulnerabilities

No vulnerabilities reported

Install rkernel

You can download it from GitHub.
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.

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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