numpy-html | Render NumPy arrays as HTML tables | Grid library

by agoose77 Python Version: 0.0.2 License: MIT

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

kandi X-RAY | numpy-html Summary

numpy-html is a Python library typically used in User Interface, Grid, Numpy applications. numpy-html has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However numpy-html build file is not available. You can download it from GitHub.

Render NumPy arrays as HTML tables

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Quality

Security

License

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Support

numpy-html has a low active ecosystem.

It has 36 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 4 have been closed. On average issues are closed in 131 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of numpy-html is 0.0.2

Quality

numpy-html has 0 bugs and 0 code smells.

Security

numpy-html has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

numpy-html code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

numpy-html 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

numpy-html releases are available to install and integrate.

numpy-html has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions, examples and code snippets are available.

numpy-html saves you 68 person hours of effort in developing the same functionality from scratch.

It has 178 lines of code, 22 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Return a string representation of an ndarray
Render an array
Render a table
Format a list of items
Format a numpy array as a fixed format
Format a sequence of items
Format index
Render a row
Render an array of arrays
Render a row as table
Unregister an IPython extension
Unregister a formatter
Load ipython extension
Register a formatter

Get all kandi verified functions for this library.

numpy-html Key Features

No Key Features are available at this moment for numpy-html.

numpy-html Examples and Code Snippets

numpy-html,Example inside Jupyter

Python

Lines of Code : 5

License : Permissive (MIT)

Copy

import numpy_html
import numpy as np

np.set_printoptions(threshold=5, edgeitems=2)
np.arange(49).reshape(7, 7)

Community Discussions

Trending Discussions on numpy-html

Share Fortran 90 module data with F2PY between many extension modules

QUESTION

Share Fortran 90 module data with F2PY between many extension modules

Asked 2018-Oct-23 at 19:34

I want to share data which is located in a Fortran 90 module between many self compiled F2PY extension modules. The documentation of F2PY says that this is not possible due to to how Python imports shared libraries in general.

F2PY generates wrappers to common blocks defined in a routine signature block. Common blocks are visible by all Fortran codes linked with the current extension module, but not to other extension modules (this restriction is due to how Python imports shared libraries).

[...]

The F2PY interface to Fortran 90 module data is similar to Fortran 77 common blocks.

Link to Documentation

Due to the fact, that I have to use about 100 nested Fortran 90 subroutines, I need to share data between them. Any suggestions how I can achieve that?

I thought about passing every variable as parameter to each subroutine and return the variables afterwards, but this sounds somehow wrong.

...

ANSWER

Answered 2018-Oct-23 at 19:34

Though just a trial-and-error approach, how about putting the variable module and all the subroutines into a single file and compile it with f2py (*1)? For example...

mytest.f90:

Source https://stackoverflow.com/questions/52950218

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

Vulnerabilities

No vulnerabilities reported

Install numpy-html

You can download it from GitHub.
You can use numpy-html 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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