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drawing.py
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drawing.py
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from typing import Union
import matplotlib.pyplot as plt
from matplotlib.colors import colorConverter
from matplotlib.collections import LineCollection
import numpy as np
from graph import Graph
def draw_graph(graph: Graph,
pos: dict=None,
nodes_list: list = None,
nodes_size: Union[int, list]=50,
nodes_color: Union[str, list]='r',
edges_list: list=None,
edges_color: Union[str, list]='k',
axes: plt.Axes=None
) -> None:
"""
Draw graph using matplotlib.
:param graph: graph
:param pos: node -> position (x,y) dictionary
:param nodes_list: nodes to draw
:param nodes_size: nodes size, scalar or sequence
:param nodes_color: nodes color, scalar or sequence (matplotlib compatible)
:param edges_list: edges to draw
:param edges_color: nodes color, scalar or sequence (matplotlib compatible)
:param axes: axes to draw the graph at
"""
draw_nodes(graph, pos, nodes_list, nodes_size, nodes_color, axes)
draw_edges(graph, pos, edges_list, edges_color, axes)
plt.draw_if_interactive()
def draw_nodes(graph: Graph,
pos: dict,
nodes_list: list=None,
nodes_size: Union[int, list]=50,
nodes_color: Union[str, list]='r',
axes: plt.Axes=None
) -> None:
"""
Draw graph nodes.
:param graph: graph
:param pos: node -> position (x,y) dictionary
:param nodes_list: nodes to draw
:param nodes_size: nodes size, scalar or sequence
:param nodes_color: nodes color, scalar or sequence (matplotlib compatible)
:param axes: axes to draw the graph at
"""
if axes is None:
axes = plt.gca()
xy = np.asarray([pos[v] for v in (nodes_list or graph.nodes)])
node_collection = axes.scatter(xy[:, 0], xy[:, 1],
s=nodes_size,
c=nodes_color)
node_collection.set_zorder(2)
def draw_edges(graph: Graph,
pos: dict,
edges_list: list=None,
edges_color: Union[str, list]='k',
axes: plt.Axes=None
) -> None:
"""
Draw graph edges.
:param graph: graph
:param pos: node -> position (x,y) dictionary
:param edges_list: edges to draw
:param edges_color: nodes color, scalar or sequence (matplotlib compatible)
:param axes: axes to draw the graph at
"""
if axes is None:
axes = plt.gca()
edge_pos = np.asarray([(pos[e[0]], pos[e[1]]) for e in (edges_list or graph.edges)])
if isinstance(edges_color, str):
edges_color = (edges_color,)
edges_color = tuple([colorConverter.to_rgba(c) for c in edges_color])
edges_collection = LineCollection(edge_pos,
colors=edges_color,
transOffset=axes.transData)
edges_collection.set_zorder(1) # Edges go behind nodes.
axes.add_collection(edges_collection)