Xtensor.R | R package | Data Visualization library

 by   xtensor-stack C++ Version: 0.14.1 License: Non-SPDX

kandi X-RAY | Xtensor.R Summary

kandi X-RAY | Xtensor.R Summary

Xtensor.R is a C++ library typically used in Analytics, Data Visualization, Numpy applications. Xtensor.R has no bugs, it has no vulnerabilities and it has low support. However Xtensor.R has a Non-SPDX License. You can download it from GitHub.

Xtensor.R is an R package wrapping the xtensor-r bindings to the xtensor C++ multi-dimensional array library.
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              Xtensor.R has a low active ecosystem.
              It has 17 star(s) with 6 fork(s). There are 5 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 3 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 Xtensor.R is 0.14.1

            kandi-Quality Quality

              Xtensor.R has no bugs reported.

            kandi-Security Security

              Xtensor.R has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              Xtensor.R has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

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              Xtensor.R releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            Xtensor.R Key Features

            No Key Features are available at this moment for Xtensor.R.

            Xtensor.R Examples and Code Snippets

            No Code Snippets are available at this moment for Xtensor.R.

            Community Discussions

            QUESTION

            Selecting specific rows of 2D xtensor
            Asked 2020-Apr-30 at 08:52

            xtensor's documentation provides a map to numpy's functionalities (link).

            The list covers many use cases but there is one functionality I couldn't recreate. I have a 2D tensor and I want to select specific rows which are identified by a sequence that is built at run time. My understanding is this prevents the use of xt::drop and xt::keep since those are variadic template functions (I've just begun learning c++ so correct me if I'm missing something). Also, that sequence is irregular and cannot be replicated by xt::range.

            Here's something along the lines of what I want in numpy:

            ...

            ANSWER

            Answered 2020-Apr-30 at 08:52

            If I understand well your worry is unfounded. At compile time the type of chosen_rows has to be known, but it is perfectly fine if its content remains dynamic.

            Your example in xtensor:

            Source https://stackoverflow.com/questions/61470198

            QUESTION

            How to convert an xarray to std::vector?
            Asked 2020-Apr-05 at 11:04

            The docs make it quite clear on how to adapt a std::vector to a tensor object. https://xtensor.readthedocs.io/en/latest/adaptor.html

            ...

            ANSWER

            Answered 2020-Apr-05 at 11:04

            You can construct a std::vector from iterators. For your example:

            Source https://stackoverflow.com/questions/61030335

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

            Vulnerabilities

            No vulnerabilities reported

            Install Xtensor.R

            You can download it from GitHub.

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            gh repo clone xtensor-stack/Xtensor.R

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            git@github.com:xtensor-stack/Xtensor.R.git

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