treeify | Visualize DOM tree using D3 | Data Visualization library

by chikeichan JavaScript Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(8)Vulnerabilities Install Support

kandi X-RAY | treeify Summary

treeify is a JavaScript library typically used in Analytics, Data Visualization, React applications. treeify has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

Visualize DOM tree using D3. Jacky’s Blog szehungtsui.wordpress.com. To do: Hosting .

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Support

treeify has a low active ecosystem.

It has 25 star(s) with 7 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

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

It has a neutral sentiment in the developer community.

The latest version of treeify is current.

Quality

treeify has 0 bugs and 0 code smells.

Security

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

treeify code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

treeify does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

treeify saves you 29 person hours of effort in developing the same functionality from scratch.

It has 79 lines of code, 0 functions and 6 files.

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

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treeify Key Features

No Key Features are available at this moment for treeify.

treeify Examples and Code Snippets

No Code Snippets are available at this moment for treeify.

Community Discussions

Trending Discussions on treeify

Populate JTree from String array Structured as Paths

convert a JavaScript object into a tree with JSON.stringify

Why HashMap resize when it hits TREEIFY_THRESHOLD value which is not required?

Create a tree from a list of strings containing paths of files - javascript

Python create tree from a JSON file

How to detect a loop in a hierarchy of javascript elements

How to treeify Python dicts?

C program is taking a branch even though it shouldn't

QUESTION

Populate JTree from String array Structured as Paths

Asked 2020-Mar-19 at 06:34

I need help in my Java project. How do I populate my JTree dynamically from arrays of String patterned as paths?. Like, String

...

ANSWER

Answered 2020-Mar-19 at 06:34

Here's a version of treeify() that implements the strategy I was outlining in my comment. It's not the most elegant thing ever, but it gets the job done:

Source https://stackoverflow.com/questions/60737755

QUESTION

convert a JavaScript object into a tree with JSON.stringify

Asked 2020-Jan-17 at 12:54

I've been using treeify recently to display a nested JSON object as a tree, like the output of Linux CLI tool tree.

Is the same result doable with only JSON.stringify? I know JSON.stringify accepts 3 arguments: value, replacer and space (MDN JSON.strinfify documentation).

...

ANSWER

Answered 2020-Jan-17 at 12:54

JSON.stringify takes a constant value as spacer and it does not change for the nested items, which is necessary because you have two different strings for items and two as prefix for nested items.

Instead, you could take a custom function with a recursive approach by handing over the prefix for each line.

Source https://stackoverflow.com/questions/59784314

QUESTION

Why HashMap resize when it hits TREEIFY_THRESHOLD value which is not required?

Asked 2019-Nov-22 at 08:24

I know How HashMap works internally. But while checking HashMap code with TreeNode implementation I'm not getting the goal behind the increasing size of bucket but not treeify until bucket size hits MIN_TREEIFY_CAPACITY = 64.

Note: I've considered Map m = new HashMap(); so default size would be 16.

Default values.

...

ANSWER

Answered 2019-Nov-22 at 08:24

Both, using a tree or a capacity larger than usual, are measures to deal with collisions. When there are multiple keys mapped to the same bucket, it can be one of the following scenarios (or a combination of them):

The keys have different hash codes but got mapped to the same bucket
The keys have the same hash code but implement Comparable
The keys have the same hash code and do not implement Comparable

Neither approach can deal with point three. Only building a tree can deal with the second. When we have the first scenario, expanding the table may solve the issue and if it does, it has the advantage of still providing an O(1) lookup and allowing more efficient traversal (just iterating over the array) whereas the tree has an O(log n) lookup and less efficient traversal, requiring to descend the tree structure.

The problem is, analyzing the scenario, to find out which solution is applicable and whether expanding the table would actually help, would take time on its own. Further, it wouldn’t pay off when a single put takes the expense of the analysis to dismiss a strategy, just to end up with the next put finding the strategy suitable for another key (after all, expanding the table size has an impact on the entire table).

So a heuristic is used to accommodate likelihoods and typical use cases of HashMap, incorporating not just a single put operation. Note that for small table sizes, the chances of solving a bucket collision via expansion are higher, a table size of 16 implies using only four bits of the hash code whereas a table size of 32 implies using five bits, 25% more.

I suppose, the JDK team used the usual approach of benchmarking real life applications and libraries to find the right trade-off.

Source https://stackoverflow.com/questions/58987907

QUESTION

Create a tree from a list of strings containing paths of files - javascript

Asked 2019-Aug-04 at 08:04

Let's assume I have the following array:

...

ANSWER

Answered 2019-Aug-04 at 07:37

You could take an iterative approach for every found name part and get an object and return the children for the next search.

Source https://stackoverflow.com/questions/57344694

QUESTION

Python create tree from a JSON file

Asked 2019-May-07 at 17:07

Let's say that we have the following JSON file. For the sake of the example it's emulated by a string. The string is the input and a Tree object should be the output. I'll be using the graphical notation of a tree to present the output.

I've found the following classes to handle tree concept in Python:

...

ANSWER

Answered 2019-May-07 at 17:07

You can use recursion:

Source https://stackoverflow.com/questions/55926688

QUESTION

How to detect a loop in a hierarchy of javascript elements

Asked 2019-Mar-26 at 09:45

I have a list of elements, each has an ID and a parent ID. What I want to do is detect when there is a loop in this 'hierarchy', and show which ID starts the loop.

...

ANSWER

Answered 2019-Mar-25 at 14:08

You could collect all nodes and the childrens in object and filter all nodes by taking an array of visited nodes.

The infinite array contains all nodes which causes a circular reference.

Source https://stackoverflow.com/questions/55338929

QUESTION

How to treeify Python dicts?

Asked 2019-Feb-05 at 15:58

I'm building a telegram bot, and would like to convert the json responses such as the one below which I turn into a dictionary:

...

ANSWER

Answered 2019-Feb-05 at 15:58

This seemed like fun so I gave it a go:

Source https://stackoverflow.com/questions/54537779

QUESTION

C program is taking a branch even though it shouldn't

Asked 2018-Mar-30 at 15:32

I have written a C program that constructs a binary search tree from an array. It goes through the following steps:

1: Sort the array with qsort().

2: Place the sorted elements of the array into a binary tree using the recursive function treeify():

2a: Take the middle element of the array (by dividing its length by 2) and place that as the content field of the tree struct (the root node of this subtree).

2b: Function then copies the left and right halves of the remaining elements into smaller arrays and calls itself for each of these arrays respectively.

2c: Return the tree via the root node.

3: Recursively traverse the tree and print its contents in indented format.

Basically, I used a divide-and-conquer paradigm to build the tree from the already-sorted array. Surprisingly (since this was my first time designing a D&C algorithm) this part went rather smoothly.

Where I really ran into trouble was in Step 3. Sometimes it works, and when it does, all of the elements are in the right order, so that part obviously works. But 90% of times I run the program, it segfaults when it gets to the first leaf node.

Here is the full program text. I've altered the printing function so that it prints the addresses of the nodes (for debugging purposes). Originally it displayed the numeric values...

...

ANSWER

Answered 2018-Mar-30 at 14:58

The problem is that you try to read from an unintialized member of the structure, the very first time it happens is here

Source https://stackoverflow.com/questions/49576470

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

Vulnerabilities

No vulnerabilities reported

Install treeify

You can download it from GitHub.

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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