Air

class Air(*args, **kwargs)

Creates a Phase object with preset models and values for air

Parameters:

network (dict) – An OpenPNM Network object, which is a subclass of a dict

Attributes:

Np

Shortcut to retrieve the number of pores in the domain

Nt

Shortcut to retrieve the number of throats in the domain

Ps

Shortcut to retrieve the indices of all pores

Ts

Shortcut to retrieve the indices of all throats

name

network

Shortcut to retrieve a handle to the network object associated with the

params

This attribute stores ‘scalar’ data that can be used by pore-scale models.

project

settings

Methods

add_model(propname, model[, domain, regen_mode])	Add a pore-scale model to the object, along with the desired arguments
add_model_collection(models[, domain, ...])	Add a collection of several models at once
filter_by_label([pores, throats, labels, mode])	Returns which of the supplied pores (or throats) has the specified label(s)
get_conduit_data(propname)	Fetches an Nt-by-3 array of the requested property
interpolate_data(propname[, mode])	Generates an array of the requested pore/throat data by interpolating the neighboring throat/pore data.
labels([pores, throats, element, mode])	Returns a list of labels present on the object
num_pores([labels, mode])	Returns the number of pores of the specified labels
num_throats([labels, mode])	Return the number of throats of the specified labels
pores([labels, mode, asmask])	Returns pore indicies where given labels exist, according to the logic specified by the mode argument.
props([element])	Retrieves a list of keys that contain numerical data (i.e.
regenerate_models([propnames, exclude])	Runs all the models stored in the object's models attribute
run_model(propname[, domain])	Runs the requested model and places the result into the correct locations
set_label(label[, pores, throats, mode])	Creates or updates a label array
throats([labels, mode, asmask])	Returns throat locations where given labels exist, according to the logic specified by the mode argument.
to_indices(mask)	Converts a boolean mask to pore or throat indices
to_mask([pores, throats])	Generates a boolean mask with True values in the given locations