quantipy | Python for people data

by Quantipy Python Version: Current License: MIT

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

kandi X-RAY | quantipy Summary

quantipy is a Python library. quantipy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Python for people data

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Quality

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Support

quantipy has a low active ecosystem.

It has 57 star(s) with 13 fork(s). There are 14 watchers for this library.

It had no major release in the last 6 months.

There are 39 open issues and 733 have been closed. On average issues are closed in 672 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of quantipy is current.

Quality

quantipy has 0 bugs and 0 code smells.

Security

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

quantipy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

quantipy 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

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

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 110541 lines of code, 2441 functions and 170 files.

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

Top functions reviewed by kandi - BETA

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

Create an Excel plot .
Generate powerpoint plot .
Request the views from the stack .
Request a list of views .
Paint a box .
Add bar chart .
Save a meta - data file .
Add chart to plot .
Generate a quantipy quantipy from a decipy .
Make a delimited set of variable groups

Get all kandi verified functions for this library.

quantipy Key Features

No Key Features are available at this moment for quantipy.

quantipy Examples and Code Snippets

No Code Snippets are available at this moment for quantipy.

Community Discussions

Trending Discussions on quantipy

Pip/Conda install Quantipy throws failed wheels error

QUESTION

Pip/Conda install Quantipy throws failed wheels error

Asked 2019-Apr-25 at 07:48

Trying to install the python library Quantipy. When I try to install with Pip from command line I get a very lengthy error. I am using Python 3 with Anaconda distribution.

pip install quantipy

Should install correctly, but this is the output:

Failed building wheel for quantipy Running setup.py clean for quantipy Failed to build quantipy Installing collected packages: quantipy Running setup.py install for quantipy ... error Complete output from command C:\ProgramData\Anaconda3\python.exe -u -c "import setuptools, tokenize;file='C:\Users\Mark\AppData\Local\Temp\pip-install-6jrxianp\quantipy\setup.py';f=getattr(tokenize, 'open', open)(file);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, file, 'exec'))" install --record C:\Users\Mark\AppData\Local\Temp\pip-record-1dg6hdcy\install-record.txt --single-version-externally-managed --compile: C:\ProgramData\Anaconda3\lib\site-packages\setuptools\dist.py:470: UserWarning: Normalizing '0.0.0dev3' to '0.0.0.dev3' normalized_version, running install running build running build_py creating build creating build\lib.win-amd64-3.7 creating build\lib.win-amd64-3.7\quantipy copying quantipy\mplrcsettings.py -> build\lib.win-amd64-3.7\quantipy copying quantipy__init__.py -> build\lib.win-amd64-3.7\quantipy creating build\lib.win-amd64-3.7\quantipy\correlations copying quantipy\correlations\correlations.py -> build\lib.win-amd64-3.7\quantipy\correlations copying quantipy\correlations\dynspecfunc.py -> build\lib.win-amd64-3.7\quantipy\correlations copying quantipy\correlations__init__.py -> build\lib.win-amd64-3.7\quantipy\correlations creating build\lib.win-amd64-3.7\quantipy\lattice copying quantipy\lattice\lattice.py -> build\lib.win-amd64-3.7\quantipy\lattice copying quantipy\lattice__init__.py -> build\lib.win-amd64-3.7\quantipy\lattice creating build\lib.win-amd64-3.7\quantipy\models copying quantipy\models\genericmodel.py -> build\lib.win-amd64-3.7\quantipy\models copying quantipy\models\quadratic.py -> build\lib.win-amd64-3.7\quantipy\models copying quantipy\models\spinwave.py -> build\lib.win-amd64-3.7\quantipy\models copying quantipy\models\test.py -> build\lib.win-amd64-3.7\quantipy\models copying quantipy\models\tightbinding.py -> build\lib.win-amd64-3.7\quantipy\models copying quantipy\models__init__.py -> build\lib.win-amd64-3.7\quantipy\models creating build\lib.win-amd64-3.7\quantipy\operators copying quantipy\operators\heisenberg.py -> build\lib.win-amd64-3.7\quantipy\operators copying quantipy\operators__init__.py -> build\lib.win-amd64-3.7\quantipy\operators creating build\lib.win-amd64-3.7\quantipy\quicked copying quantipy\quicked\quicked.py -> build\lib.win-amd64-3.7\quantipy\quicked copying quantipy\quicked__init__.py -> build\lib.win-amd64-3.7\quantipy\quicked creating build\lib.win-amd64-3.7\quantipy\spectra copying quantipy\spectra\spectra.py -> build\lib.win-amd64-3.7\quantipy\spectra copying quantipy\spectra__init__.py -> build\lib.win-amd64-3.7\quantipy\spectra creating build\lib.win-amd64-3.7\quantipy\spglib copying quantipy\spglib\spglib.py -> build\lib.win-amd64-3.7\quantipy\spglib copying quantipy\spglib\spglib2d.py -> build\lib.win-amd64-3.7\quantipy\spglib copying quantipy\spglib__init__.py -> build\lib.win-amd64-3.7\quantipy\spglib creating build\lib.win-amd64-3.7\quantipy\symmetries copying quantipy\symmetries\symmetries.py -> build\lib.win-amd64-3.7\quantipy\symmetries copying quantipy\symmetries__init__.py -> build\lib.win-amd64-3.7\quantipy\symmetries creating build\lib.win-amd64-3.7\quantipy\towerofstates copying quantipy\towerofstates\towerofstates.py -> build\lib.win-amd64-3.7\quantipy\towerofstates copying quantipy\towerofstates__init__.py -> build\lib.win-amd64-3.7\quantipy\towerofstates creating build\lib.win-amd64-3.7\quantipy\utils copying quantipy\utils\decorator.py -> build\lib.win-amd64-3.7\quantipy\utils copying quantipy\utils\findfiles.py -> build\lib.win-amd64-3.7\quantipy\utils copying quantipy\utils\geometryutils.py -> build\lib.win-amd64-3.7\quantipy\utils copying quantipy\utils\pathdistance.py -> build\lib.win-amd64-3.7\quantipy\utils copying quantipy\utils\pfaffian.py -> build\lib.win-amd64-3.7\quantipy\utils copying quantipy\utils\plotutils.py -> build\lib.win-amd64-3.7\quantipy\utils copying quantipy\utils\rowoperations.py -> build\lib.win-amd64-3.7\quantipy\utils copying quantipy\utils\sun_combinatorics.py -> build\lib.win-amd64-3.7\quantipy\utils copying quantipy\utils__init__.py -> build\lib.win-amd64-3.7\quantipy\utils running build_ext No module named 'numpy.distutils._msvccompiler' in numpy.distutils; trying from distutils building '_quicked' extension error: Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": https://visualstudio.microsoft.com/downloads/

...

ANSWER

Answered 2019-Apr-17 at 21:34

Quantipy is at an early stage of development, not yet offering good binary install support. (0.0.0.dev3)

Microsoft Visual C++ 14.0 is required. Get it with "Microsoft Visual C++ Build Tools": https://visualstudio.microsoft.com/downloads/

At this stage in the package's maturity, you will need to obtain Visual C++ 14 prior to doing a successful pip install.

Source https://stackoverflow.com/questions/55735756

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

Vulnerabilities

No vulnerabilities reported

Install quantipy

You can download it from GitHub.
You can use quantipy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

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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