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