Object BundlesΒΆ

Object bundles are intended to simplify the work with sets of similar objects. They are basically dictionaries with the additional feature, that method calls on the bundle are executed on each object in the bundle.

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import numpy as n
import dashi as d

x = n.array( [1,2,3,4, 5] )
y = n.array( [6,7,8,9,10] )

bundle = d.bundle( x=x, y=y )

x.sum()
y.sum()

bundle.sum()

Numpy arrays are a very useful container for the data that one wants to analyse. Because of the element-wise operation of operators and functions calculations are easily formulated and fast. Hence, most of my analysis scripts hold the data in memory and stored in numpy arrays. Multiple variables or classes of measurements can be distinguished, by keeping the arrays in dictionaries

Object bundles are intended to solve two problems:

The element-wise operation of operators and functions on numpy arrays make them a very handy tool for calculations. For example and can add two arrays and the operation will add the respective items from each array.

One can reapply this concept one level higher and apply can add two one can e.g add two numbers