numpy_cpp | Some simple header stuff to make C access to NumPy easier | Data Manipulation library

 by   mwiebe C++ Version: Current License: Non-SPDX

kandi X-RAY | numpy_cpp Summary

kandi X-RAY | numpy_cpp Summary

numpy_cpp is a C++ library typically used in Utilities, Data Manipulation applications. numpy_cpp has no bugs, it has no vulnerabilities and it has low support. However numpy_cpp has a Non-SPDX License. You can download it from GitHub.

A simple set of headers and utilities to make working with NumPy arrays from C++ simpler than using the C API. This is a WIP and no implication is intended that anything will work, will do what it says in the comments, or do anything remotely useful or good.
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              numpy_cpp has a low active ecosystem.
              It has 10 star(s) with 1 fork(s). There are 2 watchers for this library.
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              It had no major release in the last 6 months.
              numpy_cpp has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of numpy_cpp is current.

            kandi-Quality Quality

              numpy_cpp has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

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            numpy_cpp Key Features

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            numpy_cpp Examples and Code Snippets

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            Community Discussions

            Trending Discussions on numpy_cpp

            QUESTION

            Embed python / numpy in C++
            Asked 2017-Sep-29 at 18:55

            I am trying to use python 3 (with numpy) in my C++ application. This entails sending a C++ array to python, performing calculations and then retrieving the result in C++. To do this I based myself on the code that was discussed here: https://codereview.stackexchange.com/questions/92266/sending-a-c-array-to-python-numpy-and-back/92353#92353 and also here: Sending a C++ array to Python and back (Extending C++ with Numpy).

            While the example from the code review post basically works I am having troubles with the return values when I modified the python and C++ script: when I am trying to return a variable that was created in python the result is a vector of nan instead of the intended computations. My guess is that the object somehow goes out of scope but I can't fix this problem.

            I use the following python script in a file called mymodule.py:

            ...

            ANSWER

            Answered 2017-Sep-29 at 17:42

            You should specify dtype when you create the array in Python code. You are casting to long double in C++ code while the dtype is deduced to be int64 (on 64-bit platforms)

            Source https://stackoverflow.com/questions/46493307

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

            Vulnerabilities

            No vulnerabilities reported

            Install numpy_cpp

            You can download it from GitHub.

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            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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