transshipment.draw_graph() - Code Metrics - Inspection of "Add examples from oemof-examples" - oemof/oemof-solph - Measure and Improve Code Quality continuously with Scrutinizer

Passed

Pull Request — dev (#850)

by Uwe

created 2022-06-24 10:02 UTC

transshipment.draw_graph() B

↳ Parent: transshipment

Complexity

Conditions

Size

Total Lines	68
Code Lines	26

Duplication

Lines	68
Ratio	100 %

Importance

Changes

Metric	Value
eloc	26
dl	68
loc	68
rs	8.7893
c	0
b	0
f	0
cc	5
nop	9

How to fix Long Method Many Parameters

# -*- coding: utf-8 -*-

"""
General description:
---------------------
This script shows how use the custom component `solph.custom.Link` to build
a simple transshipment model.


Installation requirements
-------------------------
This example requires oemof.solph (v0.5.x), install by:

    pip install oemof.solph[examples]

To draw the graph pygraphviz is required, installed by:

    pip install pygraphviz

License
-------
Simon Hilpert - 12.12.2017 - [email protected]

`MIT license <https://github.com/oemof/oemof-solph/blob/dev/LICENSE>`_
"""
import networkx as nx
import pandas as pd
from matplotlib import pyplot as plt
from oemof.network.graph import create_nx_graph

# oemof imports
from oemof.solph import Bus
from oemof.solph import EnergySystem
from oemof.solph import Flow
from oemof.solph import Investment
from oemof.solph import Model
from oemof.solph import components as cmp
from oemof.solph import processing
from oemof.solph import views
from oemof.solph.components.experimental import Link

try:
    import pygraphviz as pygz
except ModuleNotFoundError:
    pygz = None


def draw_graph(

    grph,
    edge_labels=True,
    node_color="#AFAFAF",
    edge_color="#CFCFCF",
    plot=True,
    node_size=2000,
    with_labels=True,
    arrows=True,
    layout="neato",
):
    """
    Draw a graph. This function will be removed in future versions.

    Parameters
    ----------
    grph : networkxGraph
        A graph to draw.
    edge_labels : boolean
        Use nominal values of flow as edge label
    node_color : dict or string
        Hex color code oder matplotlib color for each node. If string, all
        colors are the same.

    edge_color : string
        Hex color code oder matplotlib color for edge color.

    plot : boolean
        Show matplotlib plot.

    node_size : integer
        Size of nodes.

    with_labels : boolean
        Draw node labels.

    arrows : boolean
        Draw arrows on directed edges. Works only if an optimization_model has
        been passed.
    layout : string
        networkx graph layout, one of: neato, dot, twopi, circo, fdp, sfdp.
    """
    if isinstance(node_color, dict):
        node_color = [node_color.get(g, "#AFAFAF") for g in grph.nodes()]

    # set drawing options
    options = {
        "prog": "dot",
        "with_labels": with_labels,
        "node_color": node_color,
        "edge_color": edge_color,
        "node_size": node_size,
        "arrows": arrows,
    }

    # draw graph
    pos = nx.drawing.nx_agraph.graphviz_layout(grph, prog=layout)

    nx.draw(grph, pos=pos, **options)

    # add edge labels for all edges
    if edge_labels is True and plt:
        labels = nx.get_edge_attributes(grph, "weight")
        nx.draw_networkx_edge_labels(grph, pos=pos, edge_labels=labels)

    # show output
    if plot is True:
        plt.show()


datetimeindex = pd.date_range("1/1/2017", periods=3, freq="H")

es = EnergySystem(timeindex=datetimeindex, infer_last_interval=False)

b_0 = Bus(label="b_0")

b_1 = Bus(label="b_1")

es.add(b_0, b_1)

es.add(
    Link(
        label="line_0",
        inputs={b_0: Flow(), b_1: Flow()},
        outputs={
            b_1: Flow(investment=Investment()),
            b_0: Flow(investment=Investment()),
        },
        conversion_factors={(b_0, b_1): 0.95, (b_1, b_0): 0.9},
    )
)


es.add(
    cmp.Source(
        label="gen_0",
        outputs={b_0: Flow(nominal_value=100, variable_costs=50)},
    )
)

es.add(
    cmp.Source(
        label="gen_1",
        outputs={b_1: Flow(nominal_value=100, variable_costs=50)},
    )
)

es.add(
    cmp.Sink(label="load_0", inputs={b_0: Flow(nominal_value=150, fix=[0, 1])})
)

es.add(
    cmp.Sink(label="load_1", inputs={b_1: Flow(nominal_value=150, fix=[1, 0])})
)

m = Model(energysystem=es)

# m.write('transshipment.lp', io_options={'symbolic_solver_labels': True})

m.solve(solver="cbc", solve_kwargs={"tee": True, "keepfiles": False})

m.results()

graph = create_nx_graph(es, m)

if pygz is not None:
    draw_graph(
        graph,
        plot=True,
        layout="neato",
        node_size=3000,
        node_color={"b_0": "#cd3333", "b_1": "#7EC0EE", "b_2": "#eeac7e"},
    )

results = processing.results(m)

print(views.node(results, "gen_0"))
print(views.node(results, "gen_1"))

views.node(results, "line_0")["sequences"].plot(kind="bar")

# look at constraints of Links in the pyomo model LinkBlock
m.LinkBlock.pprint()


1		# -- coding: utf-8 --
2
3		"""
4		General description:
5		---------------------
6		This script shows how use the custom component `solph.custom.Link` to build
7		a simple transshipment model.
8
9
10		Installation requirements
11		-------------------------
12		This example requires oemof.solph (v0.5.x), install by:
13
14		pip install oemof.solph[examples]
15
16		To draw the graph pygraphviz is required, installed by:
17
18		pip install pygraphviz
19
20		License
21		-------
22		Simon Hilpert - 12.12.2017 - [email protected]
23
24		`MIT license <https://github.com/oemof/oemof-solph/blob/dev/LICENSE>`_
25		"""
26		import networkx as nx
27		import pandas as pd
28		from matplotlib import pyplot as plt
29		from oemof.network.graph import create_nx_graph
30
31		# oemof imports
32		from oemof.solph import Bus
33		from oemof.solph import EnergySystem
34		from oemof.solph import Flow
35		from oemof.solph import Investment
36		from oemof.solph import Model
37		from oemof.solph import components as cmp
38		from oemof.solph import processing
39		from oemof.solph import views
40		from oemof.solph.components.experimental import Link
41
42		try:
43		import pygraphviz as pygz
44		except ModuleNotFoundError:
45		pygz = None
46
47
48	View Code Duplication	def draw_graph(
		0 ignored issues – show Duplication introduced 2022-06-24 10:10 UTC by Report Bug Copy Issue Report This code seems to be duplicated in your project. Loading history...
49		grph,
50		edge_labels=True,
51		node_color="#AFAFAF",
52		edge_color="#CFCFCF",
53		plot=True,
54		node_size=2000,
55		with_labels=True,
56		arrows=True,
57		layout="neato",
58		):
59		"""
60		Draw a graph. This function will be removed in future versions.
61
62		Parameters
63		----------
64		grph : networkxGraph
65		A graph to draw.
66		edge_labels : boolean
67		Use nominal values of flow as edge label
68		node_color : dict or string
69		Hex color code oder matplotlib color for each node. If string, all
70		colors are the same.
71
72		edge_color : string
73		Hex color code oder matplotlib color for edge color.
74
75		plot : boolean
76		Show matplotlib plot.
77
78		node_size : integer
79		Size of nodes.
80
81		with_labels : boolean
82		Draw node labels.
83
84		arrows : boolean
85		Draw arrows on directed edges. Works only if an optimization_model has
86		been passed.
87		layout : string
88		networkx graph layout, one of: neato, dot, twopi, circo, fdp, sfdp.
89		"""
90		if isinstance(node_color, dict):
91		node_color = [node_color.get(g, "#AFAFAF") for g in grph.nodes()]
92
93		# set drawing options
94		options = {
95		"prog": "dot",
96		"with_labels": with_labels,
97		"node_color": node_color,
98		"edge_color": edge_color,
99		"node_size": node_size,
100		"arrows": arrows,
101		}
102
103		# draw graph
104		pos = nx.drawing.nx_agraph.graphviz_layout(grph, prog=layout)
105
106		nx.draw(grph, pos=pos, **options)
107
108		# add edge labels for all edges
109		if edge_labels is True and plt:
110		labels = nx.get_edge_attributes(grph, "weight")
111		nx.draw_networkx_edge_labels(grph, pos=pos, edge_labels=labels)
112
113		# show output
114		if plot is True:
115		plt.show()
116
117
118		datetimeindex = pd.date_range("1/1/2017", periods=3, freq="H")
119
120		es = EnergySystem(timeindex=datetimeindex, infer_last_interval=False)
121
122		b_0 = Bus(label="b_0")
123
124		b_1 = Bus(label="b_1")
125
126		es.add(b_0, b_1)
127
128		es.add(
129		Link(
130		label="line_0",
131		inputs={b_0: Flow(), b_1: Flow()},
132		outputs={
133		b_1: Flow(investment=Investment()),
134		b_0: Flow(investment=Investment()),
135		},
136		conversion_factors={(b_0, b_1): 0.95, (b_1, b_0): 0.9},
137		)
138		)
139
140
141		es.add(
142		cmp.Source(
143		label="gen_0",
144		outputs={b_0: Flow(nominal_value=100, variable_costs=50)},
145		)
146		)
147
148		es.add(
149		cmp.Source(
150		label="gen_1",
151		outputs={b_1: Flow(nominal_value=100, variable_costs=50)},
152		)
153		)
154
155		es.add(
156		cmp.Sink(label="load_0", inputs={b_0: Flow(nominal_value=150, fix=[0, 1])})
157		)
158
159		es.add(
160		cmp.Sink(label="load_1", inputs={b_1: Flow(nominal_value=150, fix=[1, 0])})
161		)
162
163		m = Model(energysystem=es)
164
165		# m.write('transshipment.lp', io_options={'symbolic_solver_labels': True})
166
167		m.solve(solver="cbc", solve_kwargs={"tee": True, "keepfiles": False})
168
169		m.results()
170
171		graph = create_nx_graph(es, m)
172
173		if pygz is not None:
174		draw_graph(
175		graph,
176		plot=True,
177		layout="neato",
178		node_size=3000,
179		node_color={"b_0": "#cd3333", "b_1": "#7EC0EE", "b_2": "#eeac7e"},
180		)
181
182		results = processing.results(m)
183
184		print(views.node(results, "gen_0"))
185		print(views.node(results, "gen_1"))
186
187		views.node(results, "line_0")["sequences"].plot(kind="bar")
188
189		# look at constraints of Links in the pyomo model LinkBlock
190		m.LinkBlock.pprint()
191

oemof / oemof-solph

Pull Request — dev (#850)

transshipment.draw_graph() B

Complexity

Size

Duplication

Importance

How to fix Long Method Many Parameters

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