"""Unit tests for matplotlib drawing functions."""
import os
import itertools
import pytest
mpl = pytest.importorskip('matplotlib')
mpl.use('PS', warn=False)
plt = pytest.importorskip('matplotlib.pyplot')
plt.rcParams['text.usetex'] = False
import networkx as nx
class TestPylab(object):
@classmethod
def setup_class(cls):
cls.G = nx.barbell_graph(4, 6)
def test_draw(self):
try:
functions = [nx.draw_circular,
nx.draw_kamada_kawai,
nx.draw_planar,
nx.draw_random,
nx.draw_spectral,
nx.draw_spring,
nx.draw_shell]
options = [{
'node_color': 'black',
'node_size': 100,
'width': 3,
}]
for function, option in itertools.product(functions, options):
function(self.G, **option)
plt.savefig('test.ps')
finally:
try:
os.unlink('test.ps')
except OSError:
pass
def test_draw_shell_nlist(self):
try:
nlist = [list(range(4)), list(range(4, 10)), list(range(10, 14))]
nx.draw_shell(self.G, nlist=nlist)
plt.savefig('test.ps')
finally:
try:
os.unlink('test.ps')
except OSError:
pass
def test_edge_colormap(self):
colors = range(self.G.number_of_edges())
nx.draw_spring(self.G, edge_color=colors, width=4,
edge_cmap=plt.cm.Blues, with_labels=True)
plt.show()
def test_arrows(self):
nx.draw_spring(self.G.to_directed())
plt.show()
def test_edge_colors_and_widths(self):
pos = nx.circular_layout(self.G)
for G in (self.G, self.G.to_directed()):
nx.draw_networkx_nodes(G, pos, node_color=[(1.0, 1.0, 0.2, 0.5)])
nx.draw_networkx_labels(G, pos)
# edge with default color and width
nx.draw_networkx_edges(G, pos, edgelist=[(0, 1)],
width=None,
edge_color=None)
# edges with global color strings and widths in lists
nx.draw_networkx_edges(G, pos, edgelist=[(0, 2), (0, 3)],
width=[3],
edge_color=['r'])
# edges with color strings and widths for each edge
nx.draw_networkx_edges(G, pos, edgelist=[(0, 2), (0, 3)],
width=[1, 3],
edge_color=['r', 'b'])
# edges with fewer color strings and widths than edges
nx.draw_networkx_edges(G, pos,
edgelist=[(1, 2), (1, 3), (2, 3), (3, 4)],
width=[1, 3],
edge_color=['g', 'm', 'c'])
# edges with more color strings and widths than edges
nx.draw_networkx_edges(G, pos, edgelist=[(3, 4)],
width=[1, 2, 3, 4],
edge_color=['r', 'b', 'g', 'k'])
# with rgb tuple and 3 edges - is interpreted with cmap
nx.draw_networkx_edges(G, pos, edgelist=[(4, 5), (5, 6), (6, 7)],
edge_color=(1.0, 0.4, 0.3))
# with rgb tuple in list
nx.draw_networkx_edges(G, pos, edgelist=[(7, 8), (8, 9)],
edge_color=[(0.4, 1.0, 0.0)])
# with rgba tuple and 4 edges - is interpretted with cmap
nx.draw_networkx_edges(G, pos, edgelist=[(9, 10), (10, 11),
(10, 12), (10, 13)],
edge_color=(0.0, 1.0, 1.0, 0.5))
# with rgba tuple in list
nx.draw_networkx_edges(G, pos, edgelist=[(9, 10), (10, 11),
(10, 12), (10, 13)],
edge_color=[(0.0, 1.0, 1.0, 0.5)])
# with color string and global alpha
nx.draw_networkx_edges(G, pos, edgelist=[(11, 12), (11, 13)],
edge_color='purple', alpha=0.2)
# with color string in a list
nx.draw_networkx_edges(G, pos, edgelist=[(11, 12), (11, 13)],
edge_color=['purple'])
# with single edge and hex color string
nx.draw_networkx_edges(G, pos, edgelist=[(12, 13)],
edge_color='#1f78b4f0')
# edge_color as numeric using vmin, vmax
nx.draw_networkx_edges(G, pos, edgelist=[(7, 8), (8, 9)],
edge_color=[0.2, 0.5],
edge_vmin=0.1, edge_max=0.6)
plt.show()
def test_labels_and_colors(self):
G = nx.cubical_graph()
pos = nx.spring_layout(G) # positions for all nodes
# nodes
nx.draw_networkx_nodes(G, pos,
nodelist=[0, 1, 2, 3],
node_color='r',
node_size=500,
alpha=0.75)
nx.draw_networkx_nodes(G, pos,
nodelist=[4, 5, 6, 7],
node_color='b',
node_size=500,
alpha=[0.25, 0.5, 0.75, 1.0])
# edges
nx.draw_networkx_edges(G, pos, width=1.0, alpha=0.5)
nx.draw_networkx_edges(G, pos,
edgelist=[(0, 1), (1, 2), (2, 3), (3, 0)],
width=8, alpha=0.5, edge_color='r')
nx.draw_networkx_edges(G, pos,
edgelist=[(4, 5), (5, 6), (6, 7), (7, 4)],
width=8, alpha=0.5, edge_color='b')
nx.draw_networkx_edges(G, pos,
edgelist=[(4, 5), (5, 6), (6, 7), (7, 4)],
min_source_margin=0.5, min_target_margin=0.75,
width=8, edge_color='b')
# some math labels
labels = {}
labels[0] = r'$a$'
labels[1] = r'$b$'
labels[2] = r'$c$'
labels[3] = r'$d$'
labels[4] = r'$\alpha$'
labels[5] = r'$\beta$'
labels[6] = r'$\gamma$'
labels[7] = r'$\delta$'
nx.draw_networkx_labels(G, pos, labels, font_size=16)
nx.draw_networkx_edge_labels(G, pos, edge_labels=None, rotate=False)
nx.draw_networkx_edge_labels(G, pos, edge_labels={(4, 5): '4-5'})
plt.show()
def test_axes(self):
fig, ax = plt.subplots()
nx.draw(self.G, ax=ax)
def test_empty_graph(self):
G = nx.Graph()
nx.draw(G)
def test_multigraph_edgelist_tuples(self):
# See Issue #3295
G = nx.path_graph(3, create_using=nx.MultiDiGraph)
nx.draw_networkx(G, edgelist=[(0, 1, 0)])
nx.draw_networkx(G, edgelist=[(0, 1, 0)], node_size=[10, 20])
def test_alpha_iter(self):
pos = nx.random_layout(self.G)
# with fewer alpha elements than nodes
plt.subplot(131)
nx.draw_networkx_nodes(self.G, pos, alpha=[0.1, 0.2])
# with equal alpha elements and nodes
num_nodes = len(self.G.nodes)
alpha = [x / num_nodes for x in range(num_nodes)]
colors = range(num_nodes)
plt.subplot(132)
nx.draw_networkx_nodes(self.G, pos, node_color=colors, alpha=alpha)
# with more alpha elements than nodes
alpha.append(1)
plt.subplot(133)
nx.draw_networkx_nodes(self.G, pos, alpha=alpha)