diff env/lib/python3.9/site-packages/networkx/drawing/tests/test_pylab.py @ 0:4f3585e2f14b draft default tip

"planemo upload commit 60cee0fc7c0cda8592644e1aad72851dec82c959"

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/env/lib/python3.9/site-packages/networkx/drawing/tests/test_pylab.py	Mon Mar 22 18:12:50 2021 +0000
@@ -0,0 +1,257 @@
+"""Unit tests for matplotlib drawing functions."""
+import os
+import itertools
+import pytest
+
+mpl = pytest.importorskip("matplotlib")
+mpl.use("PS")
+plt = pytest.importorskip("matplotlib.pyplot")
+plt.rcParams["text.usetex"] = False
+
+import networkx as nx
+
+
+class TestPylab:
+    @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_vmax=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_draw_empty_nodes_return_values(self):
+        # See Issue #3833
+        from matplotlib.collections import PathCollection, LineCollection
+
+        G = nx.Graph([(1, 2), (2, 3)])
+        DG = nx.DiGraph([(1, 2), (2, 3)])
+        pos = nx.circular_layout(G)
+        assert isinstance(nx.draw_networkx_nodes(G, pos, nodelist=[]), PathCollection)
+        assert isinstance(nx.draw_networkx_nodes(DG, pos, nodelist=[]), PathCollection)
+
+        # drawing empty edges either return an empty LineCollection or empty list.
+        assert isinstance(
+            nx.draw_networkx_edges(G, pos, edgelist=[], arrows=True), LineCollection
+        )
+        assert isinstance(
+            nx.draw_networkx_edges(G, pos, edgelist=[], arrows=False), LineCollection
+        )
+        assert isinstance(
+            nx.draw_networkx_edges(DG, pos, edgelist=[], arrows=False), LineCollection
+        )
+        assert nx.draw_networkx_edges(DG, pos, edgelist=[], arrows=True) == []
+
+    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, 0])
+
+    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)
+
+    def test_error_invalid_kwds(self):
+        with pytest.raises(ValueError, match="Received invalid argument"):
+            nx.draw(self.G, foo="bar")
+
+    def test_np_edgelist(self):
+        # see issue #4129
+        np = pytest.importorskip("numpy")
+        nx.draw_networkx(self.G, edgelist=np.array([(0, 2), (0, 3)]))