hailhydro 0.0.4

Collection of tools for computation of flows and and fluxes on Kirchhoff circuits.

hailhydro

hyrdrodynamics methods for kirchhoff graphs/ CURRENTLY UNDER CONSTRUCTION

Introduction

This module 'hailhydro' is part of a series of pyton packages encompassing a set of class and method implementations for a kirchhoff network datatype, in order to to calculate flow/flux on lumped parameter model circuits. The flow/flux objects are embedded in the kirchhoff networks, and can be altered independently from the underlying graph structure. This is meant for fast(er) and efficient computation in the follow-up module 'goflow' and dependend of 'kirchhoff'.

Installation

pip install hailhydro

Usage

Generally, just take a weighted networkx graph and create a kirchhoff circuit from it (giving it a defined spatialy embedding and conductivity structure)

import kirchhoff.circuit_flow as kfc
import hailhydro.flow_init as hf
circuit=kfc.initialize_flow_circuit_from_crystal('simple',3)
flow=hf.initialize_flow_on_circuit(circuit)

To set node and edge attributes ('source','potential' ,'conductivity','flow_rate') use the set_source_landscape(), set_plexus_landscape() methods of the kirchhoff class. Further offering non-trivial random flow patterns for complex net adapation models(see 'goflow')

import kirchhoff.circuit_flow as kfc
import hailhydro.flow_random as hfr

circuit1=kfc.initialize_flow_circuit_from_crystal('simple',3)
circuit1.set_source_landscape('root_multi',num_sources=1)
circuit1.set_plexus_landscape()
random_flow=hfr.initialize_random_flow_on_circuit(circuit1)

circuit2=kfc.initialize_flow_circuit_from_crystal('simple',3)
circuit2.set_source_landscape('root_multi',num_sources=1)
circuit2.set_plexus_landscape()
rerouting_flow=hfr.initialize_rerouting_flow_on_circuit(circuit2)

Furter, extra classes for flux of solute along a kirchhoff network are implemented (use hailhydro.flux_overflow to handle critical regimes of large Peclet numbers)

import hailhydro.flux_init as hfx
import kirchhoff.circuit_flux as kfx
n=2
pars={
    'plexus':nx.grid_graph(( n,n,1)),
    'absorption':0.1,
    'diffusion':1.
}
circuit=kfx.setup_default_flux_circuit(pars)
flux=hfx.initialize_flux_on_circuit(circuit)
overflow=hro.initialize_overflow_on_circuit(circuit)

./notebook contains examples to play with in the form of jupyter notebooks

Requirements

pandas,networkx, numpy,plotly, kirchhoff

Gallery

Acknowledgement

hailhydro written by Felix Kramer