PyVi | integrating Vim-like buffers | Text Editor library

by Julian Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | PyVi Summary

PyVi is a Python library typically used in Editor, Text Editor applications. PyVi 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.

A library for integrating Vim-like buffers, windows, and keybindings into your Python application.

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Quality

Security

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Support

PyVi has a low active ecosystem.

It has 11 star(s) with 2 fork(s). There are 4 watchers for this library.

It had no major release in the last 6 months.

PyVi has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of PyVi is current.

Quality

PyVi has 0 bugs and 0 code smells.

Security

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

PyVi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

PyVi 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

PyVi 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.

PyVi saves you 242 person hours of effort in developing the same functionality from scratch.

It has 590 lines of code, 116 functions and 14 files.

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

Top functions reviewed by kandi - BETA

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

Press keypress
Return a handler for the given keys
Dispatch key bindings
Clear all pending keys
Delete the cursor
Backspace the cursor
Decorator to mark cursor changes
Trim the buffer
Decorator to register a function as a decorator
Add a handler for the given keys

Get all kandi verified functions for this library.

PyVi Key Features

No Key Features are available at this moment for PyVi.

PyVi Examples and Code Snippets

No Code Snippets are available at this moment for PyVi.

Community Discussions

Trending Discussions on PyVi

Further editing for items in the PyVis Tooltip?

Operations on a graph using pyvis with python

How to draw oriented edges on PyVis

Using a square matrix with Networkx but keep getting Adjacency matrix not square

Networkx common neighbors not filtering properly, not returning right list of neighbors

How to display buttons in pyvis visualization of NetworkX Graph?

NetworkX multigraph plot does not show labels

Network Visualization, How to align nodes and draw simpler graph?

Is it possible to display weight of edges of a network using PyVis and Python?

GCP AI Platform: Error when creating a custom predictor model version ( trained model Pytorch model + torchvision.transform)

QUESTION

Further editing for items in the PyVis Tooltip?

Asked 2022-Jan-05 at 05:18

I'm doing a network visualization using PyVis and was hoping to add some additional items in the tooltip function when hovering on nodes.

I'm basically using the code straight from the tutorial section of the PyVis documentation for the GoT network: https://pyvis.readthedocs.io/en/latest/tutorial.html

The tooltip in this function is set-up so that it will show lists of adjacent neighbors when hovering on a node. I would like to display this same information, but would also like to display the associated edge weight for each neighbor.

I know that weight is being accounted for in my visualization since the edge width is changing depending on the weight, but the few attempts I've made haven't shown any change in the tooltip.

Here is what I've attempted in addition to the code responsible for the tooltip (Tooltip section is toward the bottom, just below the neighbor_map object):

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ANSWER

Answered 2022-Jan-05 at 05:18

The node['title'] variable stores the information being displayed while hovering the nodes. To add the weights to the information displayed, you first need to associate them to their corresponding neighbors and then change the node['title'] variable such that it contains the concatenated information neighbor and weight . You can find more details on how to do that in the code below:

Source https://stackoverflow.com/questions/70546467

QUESTION

Operations on a graph using pyvis with python

Asked 2021-Dec-15 at 09:57

I have defined a graph by using from pyvis.network import Network and defining a network as net = Network().

I added to the net edges and nodes using the functions net.add_nodes(nodes) and net.add_edge(x, y). There is any chance to deal with this graph not only using a visualization? So for e.g. to find all paths between two specific nodes? Because searching in the documentation there is only the possibility to plot the graph. I saw other options (e.g. class) to deal with graphs (example) but is very annoying to define the graph with a dict of a dict.

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ANSWER

Answered 2021-Dec-15 at 09:57

From the pyvis documentation:

The pyvis library is meant for quick generation of visual network graphs with minimal python code. It is designed as a wrapper around the popular Javascript visJS library found at this link.

You probably want a library such as networkx, which you probably have tagged by accident. It's description states

NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

This includes many operations, see the tutorial or to take your example: shortest path

Source https://stackoverflow.com/questions/70326886

QUESTION

How to draw oriented edges on PyVis

Asked 2021-Dec-02 at 13:32

I'm trying to plot an oriented graph with pyvis. In the documentation they suggest using the following command for creating an oriented edge:

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ANSWER

Answered 2021-Dec-02 at 13:32

You don't need to directly specify to and from in your add_edge function if you had specified directed=True when you created your network. The order of the nodes in the add_edge function is enough to describe the direction. Below is an example:

Source https://stackoverflow.com/questions/70196164

QUESTION

Using a square matrix with Networkx but keep getting Adjacency matrix not square

Asked 2021-Sep-27 at 18:39

So I'm using Networkx to plot a cooc matrix. It works well with small samples but I keep getting this error when I run it with a big cooc matrix (reason why I can't share a minimum reproductible example):

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ANSWER

Answered 2021-Sep-27 at 18:39

So I was able to fix my problem by first converting my matrix into a stack.

Source https://stackoverflow.com/questions/69349516

QUESTION

Networkx common neighbors not filtering properly, not returning right list of neighbors

Asked 2021-Sep-13 at 16:59

I have a test graph that I would like to filter

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ANSWER

Answered 2021-Sep-13 at 16:59

The common_neighbors function doesn't actually return a list-- rather, it returns an iterator, which can be used to generate a list. As a result, when you do n=len(list(neighbor)), you actually consume the iterator, leaving it empty. To fix this, call list on its return value and save that to a variable:

Source https://stackoverflow.com/questions/69164699

QUESTION

How to display buttons in pyvis visualization of NetworkX Graph?

Asked 2021-Sep-07 at 20:51

I am trying to modify this function in order to correctly display the interactive buttons. I am using pyvis to visualize a graph created on Networkx. Despite including N.show_buttons(filter_=True), the buttons do not appear in the corresponding html file. Also, how can I add a title to the html page that is produced?

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ANSWER

Answered 2021-Sep-07 at 17:27

The problem is you've set the height and width both to '100%' when instantiating the visualization:

Source https://stackoverflow.com/questions/69036579

QUESTION

NetworkX multigraph plot does not show labels

Asked 2021-Aug-20 at 01:57

I am trying to plot a knowledge graph using Python, have looked at many examples and answers, but still did not manage to plot the edge labels automatically from an edgelist. Here is a reduced working example of what I am trying to do:

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ANSWER

Answered 2021-Aug-20 at 01:57

Here is how you can add edge labels to your graph:

Source https://stackoverflow.com/questions/68820244

QUESTION

Network Visualization, How to align nodes and draw simpler graph?

Asked 2021-Jun-09 at 01:01

I've been working on visualizing relations between application genres. It's not exactly a 'network', but I would like to draw a network graph.

There are 32 genres each, and the relation between each genre has indicated like this:

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ANSWER

Answered 2021-Jun-09 at 01:01

Here is one solution. Since nodes that are identical strings, they will be assumed to be the same node by networkx. My solution was to just use integers for the nodes and apply node labels in the plot only via a dictionary mapping. I then calculated a custom dictionary of positions.

Also note that I renamed the graph to DG since this is the naming convention for directed graphs.

Unfortunately, the arrowheads look odd with matplotlib when plotting really thick lines, and according to this SO question I'm not sure that much can be done to fix it except manually adjusting some relevant parameters.

First the output, then the copy-pastable code:

Source https://stackoverflow.com/questions/67887421

QUESTION

Is it possible to display weight of edges of a network using PyVis and Python?

Asked 2021-Apr-27 at 08:26

I've read the documentation and I did add edges with attribute weight but the weight of edges is not displayed on the plot and it is not displayed when I hover a curses onto the link between two nodes. Is it possible to display weight?

Code snippet (source: https://pyvis.readthedocs.io/en/latest/tutorial.html#networkx-integration):

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ANSWER

Answered 2021-Apr-27 at 08:26

You can supply a title= argument to add_edge() which will display a tooltip with the label if you hover over the edge:

Source https://stackoverflow.com/questions/67273472

QUESTION

GCP AI Platform: Error when creating a custom predictor model version ( trained model Pytorch model + torchvision.transform)

Asked 2021-Jan-30 at 17:52

Am currently trying to deploy a custom model to AI platform by following https://cloud.google.com/ai-platform/prediction/docs/deploying-models#gcloud_1. which is based on a combination of the pre-trained model from 'Pytorch' and 'torchvision.transform'. Currently, I keep getting below error which happens to be related to 500MB constraint on custom prediction.

ERROR: (gcloud.beta.ai-platform.versions.create) Create Version failed. Bad model detected with error: Model requires more memory than allowed. Please try to decrease the model size and re-deploy. If you continue to experience errors, please contact support.

Setup.py

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ANSWER

Answered 2021-Jan-30 at 17:52

Got this fixed by a combination of few things. I stuck to 4gb CPU MlS1 machine and custom predictor routine (<500MB).

Install the libraries using setup.py parameter but instead of parsing just the package name and it's version, add correct torch wheel (ideally <100 mb).

Source https://stackoverflow.com/questions/65795374

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

Vulnerabilities

No vulnerabilities reported

Install PyVi

You can download it from GitHub.
You can use PyVi 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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