wntr.network.model module

The wntr.network.model module includes methods to build a water network model.

Contents

WaterNetworkModel([inp_file_name])	Water network model class.
PatternRegistry(wn)	A registry for patterns.
CurveRegistry(model)	A registry for curves.
SourceRegistry(wn)	A registry for sources.
NodeRegistry(model)	A registry for nodes.
LinkRegistry(model)	A registry for links.

class wntr.network.model.WaterNetworkModel(inp_file_name=None)

Bases: AbstractModel

Water network model class.

Parameters

inp_file_name (string (optional)) – Directory and filename of EPANET inp file to load into the WaterNetworkModel object.

property options

The model’s options object

Returns

Options

property nodes

The node registry (as property) or a generator for iteration (as function call)

Returns

NodeRegistry

property links

The link registry (as property) or a generator for iteration (as function call)

Returns

LinkRegistry

property patterns

The pattern registry (as property) or a generator for iteration (as function call)

Returns

PatternRegistry

property curves

The curve registry (as property) or a generator for iteration (as function call)

Returns

CurveRegistry

sources()

Returns a generator to iterate over all sources

Returns

A generator in the format (name, object).

controls()

Returns a generator to iterate over all controls

Returns

A generator in the format (name, object).

property junctions

Iterator over all junctions

property tanks

Iterator over all tanks

property reservoirs

Iterator over all reservoirs

property pipes

Iterator over all pipes

property pumps

Iterator over all pumps

property valves

Iterator over all valves

property head_pumps

Iterator over all head-based pumps

property power_pumps

Iterator over all power pumps

property prvs

Iterator over all pressure reducing valves (PRVs)

property psvs

Iterator over all pressure sustaining valves (PSVs)

property pbvs

Iterator over all pressure breaker valves (PBVs)

property tcvs

Iterator over all throttle control valves (TCVs)

property fcvs

Iterator over all flow control valves (FCVs)

property gpvs

Iterator over all general purpose valves (GPVs)

add_junction(name, base_demand=0.0, demand_pattern=None, elevation=0.0, coordinates=None, demand_category=None)

Adds a junction to the water network model

Parameters

• name (string) – Name of the junction.

• base_demand (float) – Base demand at the junction.

• demand_pattern (string or Pattern) – Name of the demand pattern or the Pattern object

• elevation (float) – Elevation of the junction.

• coordinates (tuple of floats) – X-Y coordinates of the node location.

• demand_category (string) – Name of the demand category

add_tank(name, elevation=0.0, init_level=3.048, min_level=0.0, max_level=6.096, diameter=15.24, min_vol=0.0, vol_curve=None, overflow=False, coordinates=None)

Adds a tank to the water network model

Parameters

• name (string) – Name of the tank.

• elevation (float) – Elevation at the tank.

• init_level (float) – Initial tank level.

• min_level (float) – Minimum tank level.

• max_level (float) – Maximum tank level.

• diameter (float) – Tank diameter.

• min_vol (float) – Minimum tank volume.

• vol_curve (str, optional) – Name of a volume curve

• overflow (bool) – Overflow indicator (Always False for the WNTRSimulator)

• coordinates (tuple of floats, optional) – X-Y coordinates of the node location.

add_reservoir(name, base_head=0.0, head_pattern=None, coordinates=None)

Adds a reservoir to the water network model

Parameters

• name (string) – Name of the reservoir.

• base_head (float, optional) – Base head at the reservoir.

• head_pattern (string, optional) – Name of the head pattern.

• coordinates (tuple of floats, optional) – X-Y coordinates of the node location.

add_pipe(name, start_node_name, end_node_name, length=304.8, diameter=0.3048, roughness=100, minor_loss=0.0, initial_status='OPEN', check_valve=False)

Adds a pipe to the water network model

Parameters

• name (string) – Name of the pipe.

• start_node_name (string) – Name of the start node.

• end_node_name (string) – Name of the end node.

• length (float, optional) – Length of the pipe.

• diameter (float, optional) – Diameter of the pipe.

• roughness (float, optional) – Pipe roughness coefficient.

• minor_loss (float, optional) – Pipe minor loss coefficient.

• initial_status (string or LinkStatus, optional) – Pipe initial status. Options are ‘OPEN’ or ‘CLOSED’.

• check_valve (bool, optional) – True if the pipe has a check valve. False if the pipe does not have a check valve.

add_pump(name, start_node_name, end_node_name, pump_type='POWER', pump_parameter=50.0, speed=1.0, pattern=None, initial_status='OPEN')

Adds a pump to the water network model

Parameters

• name (string) – Name of the pump.

• start_node_name (string) – Name of the start node.

• end_node_name (string) – Name of the end node.

• pump_type (string, optional) – Type of information provided for a pump. Options are ‘POWER’ or ‘HEAD’.

• pump_parameter (float or string) – For a POWER pump, the pump power. For a HEAD pump, the head curve name.

• speed (float) – Relative speed setting (1.0 is normal speed)

• pattern (string) – Name of the speed pattern

• initial_status (string or LinkStatus) – Pump initial status. Options are ‘OPEN’ or ‘CLOSED’.

add_valve(name, start_node_name, end_node_name, diameter=0.3048, valve_type='PRV', minor_loss=0.0, initial_setting=0.0, initial_status='ACTIVE')

Adds a valve to the water network model

Parameters

• name (string) – Name of the valve.

• start_node_name (string) – Name of the start node.

• end_node_name (string) – Name of the end node.

• diameter (float, optional) – Diameter of the valve.

• valve_type (string, optional) – Type of valve. Options are ‘PRV’, ‘PSV’, ‘PBV’, ‘FCV’, ‘TCV’, and ‘GPV’

• minor_loss (float, optional) – Pipe minor loss coefficient.

• initial_setting (float or string, optional) – Valve initial setting. Pressure setting for PRV, PSV, or PBV. Flow setting for FCV. Loss coefficient for TCV. Name of headloss curve for GPV.

• initial_status (string or LinkStatus) – Valve initial status. Options are ‘OPEN’, ‘CLOSED’, or ‘ACTIVE’.

add_pattern(name, pattern=None)

Adds a pattern to the water network model

The pattern can be either a list of values (list, numpy array, etc.) or a Pattern object. The Pattern class has options to automatically create certain types of patterns, such as a single, on/off pattern (previously created using the start_time and stop_time arguments to this function) – see the class documentation for examples.

Warning

Patterns must be added to the model prior to adding any model element that uses the pattern, such as junction demands, sources, etc. Patterns are linked by reference, so changes to a pattern affects all elements using that pattern.

Warning

Patterns always use the global water network model options.time values. Patterns will not be resampled to match these values, it is assumed that patterns created using Pattern(…) or Pattern.binary_pattern(…) object used the same pattern timestep value as the global value, and they will be treated accordingly.

Parameters

• name (string) – Name of the pattern.

• pattern (list of floats or Pattern) – A list of floats that make up the pattern, or a Pattern object.

Raises

ValueError – If adding a pattern with name that already exists.

add_curve(name, curve_type, xy_tuples_list)

Adds a curve to the water network model

Parameters

• name (string) – Name of the curve.

• curve_type (string) – Type of curve. Options are HEAD, EFFICIENCY, VOLUME, HEADLOSS.

• xy_tuples_list (list of (x, y) tuples) – List of X-Y coordinate tuples on the curve.

add_source(name, node_name, source_type, quality, pattern=None)

Adds a source to the water network model

Parameters

• name (string) – Name of the source

• node_name (string) – Injection node.

• source_type (string) – Source type, options = CONCEN, MASS, FLOWPACED, or SETPOINT

• quality (float) – Source strength in Mass/Time for MASS and Mass/Volume for CONCEN, FLOWPACED, or SETPOINT

• pattern (string or Pattern object) – Pattern name or object

add_control(name, control_object)

Adds a control or rule to the water network model

Parameters

• name (string) – control object name.

• control_object (Control or Rule) – Control or Rule object.

remove_node(name, with_control=False, force=False)

Removes a node from the water network model

remove_link(name, with_control=False, force=False)

Removes a link from the water network model

remove_pattern(name)

Removes a pattern from the water network model

remove_curve(name)

Removes a curve from the water network model

remove_source(name)

Removes a source from the water network model

Parameters

name (string) – The name of the source object to be removed

remove_control(name)

Removes a control from the water network model

get_node(name)

Get a specific node

Parameters

name (str) – The node name

Returns

Junction, Tank, or Reservoir

get_link(name)

Get a specific link

Parameters

name (str) – The link name

Returns

Pipe, Pump, or Valve

get_pattern(name)

Get a specific pattern

Parameters

name (str) – The pattern name

Returns

Pattern

get_curve(name)

Get a specific curve

Parameters

name (str) – The curve name

Returns

Curve

get_source(name)

Get a specific source

Parameters

name (str) – The source name

Returns

Source

get_control(name)

Get a specific control or rule

Parameters

name (str) – The control name

Returns

ctrl (Control or Rule)

property node_name_list

Get a list of node names

Returns

list of strings

property junction_name_list

Get a list of junction names

Returns

list of strings

property tank_name_list

Get a list of tanks names

Returns

list of strings

property reservoir_name_list

Get a list of reservoir names

Returns

list of strings

property link_name_list

Get a list of link names

Returns

list of strings

property pipe_name_list

Get a list of pipe names

Returns

list of strings

property pump_name_list

Get a list of pump names (both types included)

Returns

list of strings

property head_pump_name_list

Get a list of head pump names

Returns

list of strings

property power_pump_name_list

Get a list of power pump names

Returns

list of strings

property valve_name_list

Get a list of valve names (all types included)

Returns

list of strings

property prv_name_list

Get a list of prv names

Returns

list of strings

property psv_name_list

Get a list of psv names

Returns

list of strings

property pbv_name_list

Get a list of pbv names

Returns

list of strings

property tcv_name_list

Get a list of tcv names

Returns

list of strings

property fcv_name_list

Get a list of fcv names

Returns

list of strings

property gpv_name_list

Get a list of gpv names

Returns

list of strings

property pattern_name_list

Get a list of pattern names

Returns

list of strings

property curve_name_list

Get a list of curve names

Returns

list of strings

property source_name_list

Get a list of source names

Returns

list of strings

property control_name_list

Get a list of control/rule names

Returns

list of strings

property num_nodes

The number of nodes

property num_junctions

The number of junctions

property num_tanks

The number of tanks

property num_reservoirs

The number of reservoirs

property num_links

The number of links

property num_pipes

The number of pipes

property num_pumps

The number of pumps

property num_valves

The number of valves

property num_patterns

The number of patterns

property num_curves

The number of curves

property num_sources

The number of sources

property num_controls

The number of controls

describe(level=0)

Describe number of components in the network model

Parameters

level (int (0, 1, or 2)) –

• Level 0 returns the number of Nodes, Links, Patterns, Curves, Sources, and Controls.

• Level 1 includes information from Level 0 but divides Nodes into Junctions, Tanks, and Reservoirs, divides Links into Pipes, Pumps, and Valves, and divides Curves into Pump, Efficiency, Headloss, and Volume.

• Level 2 includes information from Level 1 but divides Pumps into Head and Power, and divides Valves into PRV, PSV, PBV, TCV, FCV, and GPV.

Returns

A dictionary with component counts

to_dict()

Dictionary representation of the WaterNetworkModel.

Returns

dict

from_dict(d: dict)

Append the model with elements from a dictionary.

Parameters

d (dict) – Dictionary representation of the WaterNetworkModel

to_gis(crs=None, pumps_as_points=False, valves_as_points=False)

Convert a WaterNetworkModel into GeoDataFrames

Parameters

• crs (str, optional) – Coordinate reference system, by default None

• pumps_as_points (bool, optional) – Represent pumps as points (True) or lines (False), by default False

• valves_as_points (bool, optional) – Represent valves as points (True) or lines (False), by default False

Returns

• WaterNetworkGIS object that contains junctions, tanks, reservoirs, pipes,

• pumps, and valves GeoDataFrames

from_gis(gis_data)

Append the model with elements from GeoDataFrames

Parameters

gis_data (WaterNetworkGIS or dictionary of GeoDataFrames) – GeoDataFrames containing water network attributes. If gis_data is a dictionary, then the keys are junctions, tanks, reservoirs, pipes, pumps, and valves. If the pumps or valves are Points, they will be converted to Lines with the same start and end node location.

Returns

WaterNetworkModel

to_graph(node_weight=None, link_weight=None, modify_direction=False)

Convert a WaterNetworkModel into a networkx MultiDiGraph

Parameters

• node_weight (dict or pandas Series (optional)) – Node weights

• link_weight (dict or pandas Series (optional)) – Link weights.

• modify_direction (bool (optional)) – If True, than if the link weight is negative, the link start and end node are switched and the abs(weight) is assigned to the link (this is useful when weighting graphs by flowrate). If False, link direction and weight are not changed.

Returns

networkx MultiDiGraph

get_graph(node_weight=None, link_weight=None, modify_direction=False)

Convert a WaterNetworkModel into a networkx MultiDiGraph

Deprecated since version 0.5.0.

Use to_graph() instead

Parameters

• node_weight (dict or pandas Series (optional)) – Node weights

• link_weight (dict or pandas Series (optional)) – Link weights.

• modify_direction (bool (optional)) – If True, than if the link weight is negative, the link start and end node are switched and the abs(weight) is assigned to the link (this is useful when weighting graphs by flowrate). If False, link direction and weight are not changed.

Returns

networkx MultiDiGraph

assign_demand(demand, pattern_prefix='ResetDemand')

Assign demands using values in a DataFrame.

New demands are specified in a pandas DataFrame indexed by time (in seconds). The method resets junction demands by creating a new demand pattern and using a base demand of 1. The demand pattern is resampled to match the water network model pattern timestep. This method can be used to reset demands in a water network model to demands from a pressure dependent demand simulation.

Parameters

• demand (pandas DataFrame) – A pandas DataFrame containing demands (index = time, columns = junction names)

• pattern_prefix (string) – Pattern name prefix, default = ‘ResetDemand’. The junction name is appended to the prefix to create a new pattern name. If the pattern name already exists, an error is thrown and the user should use a different pattern prefix name.

get_links_for_node(node_name, flag='ALL')

Returns a list of links connected to a node

Parameters

• node_name (string) – Name of the node.

• flag (string) – Options are ‘ALL’, ‘INLET’, ‘OUTLET’. ‘ALL’ returns all links connected to the node. ‘INLET’ returns links that have the specified node as an end node. ‘OUTLET’ returns links that have the specified node as a start node.

Returns

A list of link names connected to the node

query_node_attribute(attribute, operation=None, value=None, node_type=None)

Query node attributes, for example get all nodes with elevation <= threshold

Parameters

• attribute (string) – Node attribute.

• operation (numpy operator) – Numpy operator, options include np.greater, np.greater_equal, np.less, np.less_equal, np.equal, np.not_equal.

• value (float or int) – Threshold

• node_type (Node type) – Node type, options include wntr.network.model.Node, wntr.network.model.Junction, wntr.network.model.Reservoir, wntr.network.model.Tank, or None. Default = None. Note None and wntr.network.model.Node produce the same results.

Returns

• A pandas Series that contains the attribute that satisfies the

• operation threshold for a given node_type.

Notes

If operation and value are both None, the Series will contain the attributes for all nodes with the specified attribute.

query_link_attribute(attribute, operation=None, value=None, link_type=None)

Query link attributes, for example get all pipe diameters > threshold

Parameters

• attribute (string) – Link attribute

• operation (numpy operator) – Numpy operator, options include np.greater, np.greater_equal, np.less, np.less_equal, np.equal, np.not_equal.

• value (float or int) – Threshold

• link_type (Link type) – Link type, options include wntr.network.model.Link, wntr.network.model.Pipe, wntr.network.model.Pump, wntr.network.model.Valve, or None. Default = None. Note None and wntr.network.model.Link produce the same results.

Returns

• A pandas Series that contains the attribute that satisfies the

• operation threshold for a given link_type.

Notes

If operation and value are both None, the Series will contain the attributes for all links with the specified attribute.

convert_controls_to_rules(priority=3)

Convert all controls to rules.

Note that for an exact match between controls and rules, the rule timestep must be very small.

Parameters

priority (int, optional) – Rule priority, default is 3.

reset_initial_values()

Resets all initial values in the network

class wntr.network.model.PatternRegistry(wn)

Bases: Registry

A registry for patterns.

class DefaultPattern(options)

Bases: object

An object that always points to the current default pattern for a model

property name

The name of the default pattern, or None if no pattern is assigned

add_pattern(name, pattern=None)

Adds a pattern to the water network model.

The pattern can be either a list of values (list, numpy array, etc.) or a Pattern object. The Pattern class has options to automatically create certain types of patterns, such as a single, on/off pattern

Warning

Patterns must be added to the model prior to adding any model element that uses the pattern, such as junction demands, sources, etc. Patterns are linked by reference, so changes to a pattern affects all elements using that pattern.

Warning

Patterns always use the global water network model options.time values. Patterns will not be resampled to match these values, it is assumed that patterns created using Pattern(…) or Pattern.binary_pattern(…) object used the same pattern timestep value as the global value, and they will be treated accordingly.

Parameters

• name (string) – Name of the pattern.

• pattern (list of floats or Pattern) – A list of floats that make up the pattern, or a Pattern object.

Raises

ValueError – If adding a pattern with name that already exists.

property default_pattern

A new default pattern object

add_usage(key, *args)

add args to usage[key]

clear() → None.  Remove all items from D.

clear_usage(key)

if key in usage, clear usage[key]

get(k[, d]) → D[k] if k in D, else d.  d defaults to None.

get_usage(key)

Get a set of items using an object by key.

Returns

set of 2-tuples – Set of (name, typestr) of the external object using the item

items() → a set-like object providing a view on D's items

keys() → a set-like object providing a view on D's keys

orphaned()

Get a list of orphaned usages.

If removed without appropriate checks, it is possible that a some other item will point to an object that has been deleted. (This is why the user should always use the “remove_*” methods). This method returns a list of names for objects that are referenced, but no longer exist.

Returns

set – The names of any orphaned items

pop(k[, d]) → v, remove specified key and return the corresponding value.

If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), remove and return some (key, value) pair

as a 2-tuple; but raise KeyError if D is empty.

remove_usage(key, *args)

remove args from usage[key]

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D

to_dict()

Dictionary representation of the registry

to_list()

List representation of the registry

unused()

Get a list of items which are unused by other objects in the model.

In most cases, this method will give little information. For nodes, however, this method could be important to identify a node which has become completely disconnected from the network. For patterns or curves, it may be used to find extra patterns or curves that are no longer necessary (or which the user forgot ot assign). It is not terribly useful for links.

Returns

set – The names of any unused objects in the registry

update([E, ]**F) → None.  Update D from mapping/iterable E and F.

If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

usage()

Generator to get the usage for all objects in the registry

Yields

• key (str) – The name of the object in the registry

• value (tuple of (str, str)) – Tuple of (name, typestr) of the external items using the object

values() → an object providing a view on D's values

class wntr.network.model.CurveRegistry(model)

Bases: Registry

A registry for curves.

set_curve_type(key, curve_type)

Sets curve type.

WARNING – this does not check to make sure key is typed before assigning it - you could end up with a curve that is used for more than one type

add_curve(name, curve_type, xy_tuples_list)

Adds a curve to the water network model.

Parameters

• name (string) – Name of the curve.

• curve_type (string) – Type of curve. Options are HEAD, EFFICIENCY, VOLUME, HEADLOSS.

• xy_tuples_list (list of (x, y) tuples) – List of X-Y coordinate tuples on the curve.

untyped_curves()

Generator to get all curves without type

Yields

• name (str) – The name of the curve

• curve (Curve) – The untyped curve object

property untyped_curve_names

List of names of all curves without types

pump_curves()

Generator to get all pump curves

Yields

• name (str) – The name of the curve

• curve (Curve) – The pump curve object

property pump_curve_names

List of names of all pump curves

efficiency_curves()

Generator to get all efficiency curves

Yields

• name (str) – The name of the curve

• curve (Curve) – The efficiency curve object

property efficiency_curve_names

List of names of all efficiency curves

headloss_curves()

Generator to get all headloss curves

Yields

• name (str) – The name of the curve

• curve (Curve) – The headloss curve object

property headloss_curve_names

List of names of all headloss curves

volume_curves()

Generator to get all volume curves

Yields

• name (str) – The name of the curve

• curve (Curve) – The volume curve object

property volume_curve_names

List of names of all volume curves

add_usage(key, *args)

add args to usage[key]

clear() → None.  Remove all items from D.

clear_usage(key)

if key in usage, clear usage[key]

get(k[, d]) → D[k] if k in D, else d.  d defaults to None.

get_usage(key)

Get a set of items using an object by key.

Returns

set of 2-tuples – Set of (name, typestr) of the external object using the item

items() → a set-like object providing a view on D's items

keys() → a set-like object providing a view on D's keys

orphaned()

Get a list of orphaned usages.

If removed without appropriate checks, it is possible that a some other item will point to an object that has been deleted. (This is why the user should always use the “remove_*” methods). This method returns a list of names for objects that are referenced, but no longer exist.

Returns

set – The names of any orphaned items

pop(k[, d]) → v, remove specified key and return the corresponding value.

If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), remove and return some (key, value) pair

as a 2-tuple; but raise KeyError if D is empty.

remove_usage(key, *args)

remove args from usage[key]

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D

to_dict()

Dictionary representation of the registry

to_list()

List representation of the registry

unused()

Get a list of items which are unused by other objects in the model.

In most cases, this method will give little information. For nodes, however, this method could be important to identify a node which has become completely disconnected from the network. For patterns or curves, it may be used to find extra patterns or curves that are no longer necessary (or which the user forgot ot assign). It is not terribly useful for links.

Returns

set – The names of any unused objects in the registry

update([E, ]**F) → None.  Update D from mapping/iterable E and F.

If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

usage()

Generator to get the usage for all objects in the registry

Yields

• key (str) – The name of the object in the registry

• value (tuple of (str, str)) – Tuple of (name, typestr) of the external items using the object

values() → an object providing a view on D's values

class wntr.network.model.SourceRegistry(wn)

Bases: Registry

A registry for sources.

add_usage(key, *args)

add args to usage[key]

clear() → None.  Remove all items from D.

clear_usage(key)

if key in usage, clear usage[key]

get(k[, d]) → D[k] if k in D, else d.  d defaults to None.

get_usage(key)

Get a set of items using an object by key.

Returns

set of 2-tuples – Set of (name, typestr) of the external object using the item

items() → a set-like object providing a view on D's items

keys() → a set-like object providing a view on D's keys

orphaned()

Get a list of orphaned usages.

If removed without appropriate checks, it is possible that a some other item will point to an object that has been deleted. (This is why the user should always use the “remove_*” methods). This method returns a list of names for objects that are referenced, but no longer exist.

Returns

set – The names of any orphaned items

pop(k[, d]) → v, remove specified key and return the corresponding value.

If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), remove and return some (key, value) pair

as a 2-tuple; but raise KeyError if D is empty.

remove_usage(key, *args)

remove args from usage[key]

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D

to_dict()

Dictionary representation of the registry

to_list()

List representation of the registry

unused()

Get a list of items which are unused by other objects in the model.

In most cases, this method will give little information. For nodes, however, this method could be important to identify a node which has become completely disconnected from the network. For patterns or curves, it may be used to find extra patterns or curves that are no longer necessary (or which the user forgot ot assign). It is not terribly useful for links.

Returns

set – The names of any unused objects in the registry

update([E, ]**F) → None.  Update D from mapping/iterable E and F.

If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

usage()

Generator to get the usage for all objects in the registry

Yields

• key (str) – The name of the object in the registry

• value (tuple of (str, str)) – Tuple of (name, typestr) of the external items using the object

values() → an object providing a view on D's values

class wntr.network.model.NodeRegistry(model)

Bases: Registry

A registry for nodes.

add_junction(name, base_demand=0.0, demand_pattern=None, elevation=0.0, coordinates=None, demand_category=None, emitter_coeff=None, initial_quality=None)

Adds a junction to the water network model.

Parameters

• name (string) – Name of the junction.

• base_demand (float) – Base demand at the junction.

• demand_pattern (string or Pattern) – Name of the demand pattern or the Pattern object

• elevation (float) – Elevation of the junction.

• coordinates (tuple of floats, optional) – X-Y coordinates of the node location.

• demand_category (str, optional) – Category to the base demand

• emitter_coeff (float, optional) – Emitter coefficient

• initial_quality (float, optional) – Initial quality at this junction

add_tank(name, elevation=0.0, init_level=3.048, min_level=0.0, max_level=6.096, diameter=15.24, min_vol=0.0, vol_curve=None, overflow=False, coordinates=None)

Adds a tank to the water network model.

Parameters

• name (string) – Name of the tank.

• elevation (float) – Elevation at the tank.

• init_level (float) – Initial tank level.

• min_level (float) – Minimum tank level.

• max_level (float) – Maximum tank level.

• diameter (float) – Tank diameter of a cylindrical tank (only used when the volume curve is None)

• min_vol (float) – Minimum tank volume (only used when the volume curve is None)

• vol_curve (string, optional) – Name of a volume curve. The volume curve overrides the tank diameter and minimum volume.

• overflow (bool, optional) – Overflow indicator (Always False for the WNTRSimulator)

• coordinates (tuple of floats, optional) – X-Y coordinates of the node location.

add_reservoir(name, base_head=0.0, head_pattern=None, coordinates=None)

Adds a reservoir to the water network model.

Parameters

• name (string) – Name of the reservoir.

• base_head (float, optional) – Base head at the reservoir.

• head_pattern (string, optional) – Name of the head pattern.

• coordinates (tuple of floats, optional) – X-Y coordinates of the node location.

property junction_names

List of names of all junctions

property tank_names

List of names of all junctions

property reservoir_names

List of names of all junctions

junctions()

Generator to get all junctions

Yields

• name (str) – The name of the junction

• node (Junction) – The junction object

tanks()

Generator to get all tanks

Yields

• name (str) – The name of the tank

• node (Tank) – The tank object

reservoirs()

Generator to get all reservoirs

Yields

• name (str) – The name of the reservoir

• node (Reservoir) – The reservoir object

add_usage(key, *args)

add args to usage[key]

clear() → None.  Remove all items from D.

clear_usage(key)

if key in usage, clear usage[key]

get(k[, d]) → D[k] if k in D, else d.  d defaults to None.

get_usage(key)

Get a set of items using an object by key.

Returns

set of 2-tuples – Set of (name, typestr) of the external object using the item

items() → a set-like object providing a view on D's items

keys() → a set-like object providing a view on D's keys

orphaned()

Get a list of orphaned usages.

If removed without appropriate checks, it is possible that a some other item will point to an object that has been deleted. (This is why the user should always use the “remove_*” methods). This method returns a list of names for objects that are referenced, but no longer exist.

Returns

set – The names of any orphaned items

pop(k[, d]) → v, remove specified key and return the corresponding value.

If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), remove and return some (key, value) pair

as a 2-tuple; but raise KeyError if D is empty.

remove_usage(key, *args)

remove args from usage[key]

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D

to_dict()

Dictionary representation of the registry

to_list()

List representation of the registry

unused()

Get a list of items which are unused by other objects in the model.

In most cases, this method will give little information. For nodes, however, this method could be important to identify a node which has become completely disconnected from the network. For patterns or curves, it may be used to find extra patterns or curves that are no longer necessary (or which the user forgot ot assign). It is not terribly useful for links.

Returns

set – The names of any unused objects in the registry

update([E, ]**F) → None.  Update D from mapping/iterable E and F.

If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

usage()

Generator to get the usage for all objects in the registry

Yields

• key (str) – The name of the object in the registry

• value (tuple of (str, str)) – Tuple of (name, typestr) of the external items using the object

values() → an object providing a view on D's values

class wntr.network.model.LinkRegistry(model)

Bases: Registry

A registry for links.

add_pipe(name, start_node_name, end_node_name, length=304.8, diameter=0.3048, roughness=100, minor_loss=0.0, initial_status='OPEN', check_valve=False)

Adds a pipe to the water network model.

Parameters

• name (string) – Name of the pipe.

• start_node_name (string) – Name of the start node.

• end_node_name (string) – Name of the end node.

• length (float, optional) – Length of the pipe.

• diameter (float, optional) – Diameter of the pipe.

• roughness (float, optional) – Pipe roughness coefficient.

• minor_loss (float, optional) – Pipe minor loss coefficient.

• initial_status (string, optional) – Pipe initial status. Options are ‘OPEN’ or ‘CLOSED’.

• check_valve (bool, optional) – True if the pipe has a check valve. False if the pipe does not have a check valve.

add_pump(name, start_node_name, end_node_name, pump_type='POWER', pump_parameter=50.0, speed=1.0, pattern=None, initial_status='OPEN')

Adds a pump to the water network model.

Parameters

• name (string) – Name of the pump.

• start_node_name (string) – Name of the start node.

• end_node_name (string) – Name of the end node.

• pump_type (string, optional) – Type of information provided for a pump. Options are ‘POWER’ or ‘HEAD’.

• pump_parameter (float or string) – For a POWER pump, the pump power (float). For a HEAD pump, the head curve name (string).

• speed (float) – Relative speed setting (1.0 is normal speed)

• pattern (string) – Name of the speed pattern

• initial_status (str or LinkStatus) – Pump initial status. Options are ‘OPEN’ or ‘CLOSED’.

add_valve(name, start_node_name, end_node_name, diameter=0.3048, valve_type='PRV', minor_loss=0.0, initial_setting=0.0, initial_status='ACTIVE')

Adds a valve to the water network model.

Parameters

• name (string) – Name of the valve.

• start_node_name (string) – Name of the start node.

• end_node_name (string) – Name of the end node.

• diameter (float, optional) – Diameter of the valve.

• valve_type (string, optional) – Type of valve. Options are ‘PRV’, ‘PSV’, ‘PBV’, ‘FCV’, ‘TCV’, and ‘GPV’

• minor_loss (float, optional) – Pipe minor loss coefficient.

• initial_setting (float or string, optional) – Valve initial setting. Pressure setting for PRV, PSV, or PBV. Flow setting for FCV. Loss coefficient for TCV. Name of headloss curve for GPV.

• initial_status (string or LinkStatus) – Valve initial status. Options are ‘OPEN’, ‘CLOSED’, or ‘ACTIVE’

check_valves()

Generator to get all pipes with check valves

Yields

• name (str) – The name of the pipe

• link (Pipe) – The pipe object

property pipe_names

A list of all pipe names

property valve_names

A list of all valve names

property pump_names

A list of all pump names

property head_pump_names

A list of all head pump names

property power_pump_names

A list of all power pump names

property prv_names

A list of all prv names

property psv_names

A list of all psv names

property pbv_names

A list of all pbv names

property tcv_names

A list of all tcv names

property fcv_names

A list of all fcv names

property gpv_names

A list of all gpv names

pipes()

Generator to get all pipes

Yields

• name (str) – The name of the pipe

• link (Pipe) – The pipe object

pumps()

Generator to get all pumps

Yields

• name (str) – The name of the pump

• link (Pump) – The pump object

valves()

Generator to get all valves

Yields

• name (str) – The name of the valve

• link (Valve) – The valve object

head_pumps()

Generator to get all head pumps

Yields

• name (str) – The name of the pump

• link (HeadPump) – The pump object

power_pumps()

Generator to get all power pumps

Yields

• name (str) – The name of the pump

• link (PowerPump) – The pump object

prvs()

Generator to get all PRVs

Yields

• name (str) – The name of the valve

• link (PRValve) – The valve object

psvs()

Generator to get all PSVs

Yields

• name (str) – The name of the valve

• link (PSValve) – The valve object

pbvs()

Generator to get all PBVs

Yields

• name (str) – The name of the valve

• link (PBValve) – The valve object

tcvs()

Generator to get all TCVs

Yields

• name (str) – The name of the valve

• link (TCValve) – The valve object

fcvs()

Generator to get all FCVs

Yields

• name (str) – The name of the valve

• link (FCValve) – The valve object

gpvs()

Generator to get all GPVs

Yields

• name (str) – The name of the valve

• link (GPValve) – The valve object

add_usage(key, *args)

add args to usage[key]

clear() → None.  Remove all items from D.

clear_usage(key)

if key in usage, clear usage[key]

get(k[, d]) → D[k] if k in D, else d.  d defaults to None.

get_usage(key)

Get a set of items using an object by key.

Returns

set of 2-tuples – Set of (name, typestr) of the external object using the item

items() → a set-like object providing a view on D's items

keys() → a set-like object providing a view on D's keys

orphaned()

Get a list of orphaned usages.

If removed without appropriate checks, it is possible that a some other item will point to an object that has been deleted. (This is why the user should always use the “remove_*” methods). This method returns a list of names for objects that are referenced, but no longer exist.

Returns

set – The names of any orphaned items

pop(k[, d]) → v, remove specified key and return the corresponding value.

If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), remove and return some (key, value) pair

as a 2-tuple; but raise KeyError if D is empty.

remove_usage(key, *args)

remove args from usage[key]

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D

to_dict()

Dictionary representation of the registry

to_list()

List representation of the registry

unused()

Get a list of items which are unused by other objects in the model.

In most cases, this method will give little information. For nodes, however, this method could be important to identify a node which has become completely disconnected from the network. For patterns or curves, it may be used to find extra patterns or curves that are no longer necessary (or which the user forgot ot assign). It is not terribly useful for links.

Returns

set – The names of any unused objects in the registry

update([E, ]**F) → None.  Update D from mapping/iterable E and F.

If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

usage()

Generator to get the usage for all objects in the registry

Yields

• key (str) – The name of the object in the registry

• value (tuple of (str, str)) – Tuple of (name, typestr) of the external items using the object

values() → an object providing a view on D's values