PyDyGraphs | interactive charting library using Dygraphs | Data Visualization library

by dinkelk Python Version: v1.0 License: MIT

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

kandi X-RAY | PyDyGraphs Summary

PyDyGraphs is a Python library typically used in Analytics, Data Visualization, Jupyter, Pandas applications. PyDyGraphs has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However PyDyGraphs build file is not available. You can download it from GitHub.

An interactive charting library using Dygraphs for the Jupyter Notebook.

Support

Quality

Security

License

Reuse

Support

PyDyGraphs has a low active ecosystem.

It has 17 star(s) with 20 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 4 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PyDyGraphs is v1.0

Quality

PyDyGraphs has 0 bugs and 12 code smells.

Security

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

PyDyGraphs code analysis shows 0 unresolved vulnerabilities.

There are 1 security hotspots that need review.

License

PyDyGraphs 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

PyDyGraphs releases are available to install and integrate.

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

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

PyDyGraphs saves you 71 person hours of effort in developing the same functionality from scratch.

It has 183 lines of code, 13 functions and 2 files.

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

Top functions reviewed by kandi - BETA

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

Create a subplot table
Creates the table for the given divname
Create a figure

Get all kandi verified functions for this library.

PyDyGraphs Key Features

No Key Features are available at this moment for PyDyGraphs.

PyDyGraphs Examples and Code Snippets

No Code Snippets are available at this moment for PyDyGraphs.

Community Discussions

Trending Discussions on PyDyGraphs

How to use Github Package in Jupyter Notebooks

QUESTION

How to use Github Package in Jupyter Notebooks

Asked 2019-Jul-25 at 23:57

I am trying to use the dygraphs plot function from [here] (https://github.com/dinkelk/PyDyGraphs) in my jupyter notebook. The documentation says to:

Installation

Simply clone this repository and include the dygraphs.graph module in >>your Jupyter Notebooks. Note: PyDyGraphs only supports Python 3.

The documentation says to use "import dygraphs.graph as dy"

I'm not sure where to put the repository once I've downloaded it.

The package I've downloaded and unzipped. I've included the "import dygraphs.graph" in my notebook.

This package requires pandas to be installed and imported which I have done.

...

ANSWER

Answered 2019-Jul-25 at 23:57

You need to add a system path (or install the package to the default python libary) before using "import dygraphs.graph". See the example .

Add something like this in your jupyter notebook:

Source https://stackoverflow.com/questions/57211264

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

Vulnerabilities

No vulnerabilities reported

Install PyDyGraphs

You can download it from GitHub.
You can use PyDyGraphs 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.