ipycanvas | Interactive Canvas in Jupyter | Data Visualization library

by martinRenou Python Version: 0.13.1 License: BSD-3-Clause

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

kandi X-RAY | ipycanvas Summary

ipycanvas is a Python library typically used in Analytics, Data Visualization, Jupyter applications. ipycanvas has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'npm i ipycanvas' or download it from GitHub, npm.

Interactive Canvas in Jupyter

Support

Quality

Security

License

Reuse

Support

ipycanvas has a low active ecosystem.

It has 655 star(s) with 58 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 52 open issues and 80 have been closed. On average issues are closed in 58 days. There are 9 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ipycanvas is 0.13.1

Quality

ipycanvas has 0 bugs and 0 code smells.

Security

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

ipycanvas code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

ipycanvas is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ipycanvas releases are available to install and integrate.

Deployable package is available in npm.

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

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Draws line segments
Draw polygon or line segments
Send a command to a canvas
Send draw command to canvas
Fill a set of polygons
Draws a polygon of points
Draws a polygon
Draws a line segment
Get image data
Convert an image to a numpy array
Fill polygons with specified points
Fill all styles on the canvas
Draws styles on the canvas
DrawStyled arcs
Fill spaced arcs
Draw an ellipse
Draw rectangle
Fill rectangle with specified coordinates
Updates the position
Calculate the look_at matrix
Updates the view matrix
Context manager to temporarily hold canvas
DrawStyled circles
Draw arc arc
Fill arc arc
FillStyled circles

Get all kandi verified functions for this library.

ipycanvas Key Features

No Key Features are available at this moment for ipycanvas.

ipycanvas Examples and Code Snippets

No Code Snippets are available at this moment for ipycanvas.

Community Discussions

Trending Discussions on ipycanvas

Type is not JSON serializable error in ipycanvas

QUESTION

Type is not JSON serializable error in ipycanvas

Asked 2021-May-30 at 06:37

I am trying to use ipycanvas in Jupyter notebook with SageMath 9.3 (I also tried 9.3.rc2) for macOS 11.4, and Python 3. When I was using SageMath 9.2 and Python 3 ipycanvas was working fine, but when I updated sage to SageMath 9.3 I started having problems.

The first thing I did was installing again ipycanvas on my mac terminal

$ sage —pip install ipycanvas

And the installation was apparently successful.

However, even running a minimal instance of ipycanvas produces type JSON serializable errors, e.g.,

...

ANSWER

Answered 2021-May-30 at 06:37

TL; DR Unfortunately you will need to convert the numbers that you need to pass to ipycanvas

I think you have figured out the answer in your own question. It turns out that numbers in Sage notebooks are by default interpreted as Sage types (check out https://doc.sagemath.org/html/en/tutorial/tour_coercion.html#types-versus-parents for more info on types coercion). So when you type, say 7 it casts as Integer(7) as in the element 7 in the ring of integers Z.

The class Integer is highly optimised for algebraic computations, however it contains some methods/attributes that cannot be JSON- serialised*, which is what ipycanvas need to render javascript.

On a separate note, related to one of the questions you asked "in passing", all Sage rationals can be serialised with pickle. This unfortunately doesn't help with the ipycanvas situation.

Source https://stackoverflow.com/questions/67758298

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