imclab / ndarray-segment

Run length encoded sparse ndarray

ndarray-segment

ndarrays with run length encoded data storage.

Example

var ndseg = require("ndarray-segment")
var ops = require("ndarray-ops")

//Create a 100x100 segment array
var x = ndseg([100, 100])

//Fill in a block with a constant value
ops.assigns(x.hi(50,50).lo(30, 20), 1)

Install

npm install ndarray-segment

API

var ndseg = require("ndarray-segment")

Constructor

The default ndseg function supports several different conventions for usage:

ndseg(shape)

Creates a sparse ndarray with the given shape initialized to 0

• shape is the shape of the ndarray

Returns A new ndarray with the given shape

ndseg(array)

Converts the given ndarray into a sparse segment tree

• array is an ndarray

Returns A sparse ndarray representing the same data as array

ndseg(data, shape)

Creates an ndarray from the given data store and shape

• data is a 1D array
• shape is the shape of the ndarray to construct from it

Returns A sparse ndarray encoding of data

Credits

(c) 2013 Mikola Lysenko. MIT License