GraphArray

GraphArray is a class of arrays defined on a network, which allows for fast computation and easy visualization.

When you plan to code some algorithms on networks, using GraphArray as the class of control variables provide you easier debugging and summarization of the result while keeping your calculation fast.

• Documentation

Simple Example

Define a graph

>>> import grapharray as ga
>>> BG = ga.BaseGraph([("A", "B"), ("B", "C"), ("C", "A")])
>>> BG.freeze()

Arrays for nodes

>>> a = ga.NodeArray(BG, init_val=1)   # Define
>>> a
index   value
A       1.0
B       1.0
C       1.0

>>> a["B"]  # Get a specific element using a node index
1.0
>>> a["B"] = 10  # Modify
>>> a
index   value
A       1.0
B       10.0
C       1.0

>>> b = ga.NodeArray(BG, init_val=2)
>>> a+b  # Mathematical operations
index   value
A       3.0
B       12.0
C       3.0

Array for edges

>>> a = ga.EdgeArray(BG, init_val=5)   # Define
>>> a
index   value
('A', 'B')      5.0
('B', 'C')      5.0
('C', 'A')      5.0

>>> a["A", "B"]  # You can get and...
5.0
>>> a["A", "B"] = 100  # modify elements with edge indexes
>>> a
index   value
('A', 'B')      100.0
('B', 'C')      5.0
('C', 'A')      5.0

Mathematical operations can be done as arrays for nodes.

Installation

From pypi:

pip install grapharray

or from conda:

conda install -c conda-forge grapharray