rm CondaPkg environment

.CondaPkg/env/share/doc/networkx-3.1/examples/basic/README.txt

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+Basic
+-----

.CondaPkg/env/share/doc/networkx-3.1/examples/basic/plot_properties.py

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+"""
+==========
+Properties
+==========
+
+Compute some network properties for the lollipop graph.
+"""
+
+import matplotlib.pyplot as plt
+import networkx as nx
+
+G = nx.lollipop_graph(4, 6)
+
+pathlengths = []
+
+print("source vertex {target:length, }")
+for v in G.nodes():
+    spl = dict(nx.single_source_shortest_path_length(G, v))
+    print(f"{v} {spl} ")
+    for p in spl:
+        pathlengths.append(spl[p])
+
+print()
+print(f"average shortest path length {sum(pathlengths) / len(pathlengths)}")
+
+# histogram of path lengths
+dist = {}
+for p in pathlengths:
+    if p in dist:
+        dist[p] += 1
+    else:
+        dist[p] = 1
+
+print()
+print("length #paths")
+verts = dist.keys()
+for d in sorted(verts):
+    print(f"{d} {dist[d]}")
+
+print(f"radius: {nx.radius(G)}")
+print(f"diameter: {nx.diameter(G)}")
+print(f"eccentricity: {nx.eccentricity(G)}")
+print(f"center: {nx.center(G)}")
+print(f"periphery: {nx.periphery(G)}")
+print(f"density: {nx.density(G)}")
+
+pos = nx.spring_layout(G, seed=3068)  # Seed layout for reproducibility
+nx.draw(G, pos=pos, with_labels=True)
+plt.show()

.CondaPkg/env/share/doc/networkx-3.1/examples/basic/plot_read_write.py

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+"""
+======================
+Read and write graphs.
+======================
+
+Read and write graphs.
+"""
+
+import matplotlib.pyplot as plt
+import networkx as nx
+
+G = nx.grid_2d_graph(5, 5)  # 5x5 grid
+
+# print the adjacency list
+for line in nx.generate_adjlist(G):
+    print(line)
+# write edgelist to grid.edgelist
+nx.write_edgelist(G, path="grid.edgelist", delimiter=":")
+# read edgelist from grid.edgelist
+H = nx.read_edgelist(path="grid.edgelist", delimiter=":")
+
+pos = nx.spring_layout(H, seed=200)
+nx.draw(H, pos)
+plt.show()

.CondaPkg/env/share/doc/networkx-3.1/examples/basic/plot_simple_graph.py

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+"""
+============
+Simple graph
+============
+
+Draw simple graph with manual layout.
+"""
+
+import networkx as nx
+import matplotlib.pyplot as plt
+
+G = nx.Graph()
+G.add_edge(1, 2)
+G.add_edge(1, 3)
+G.add_edge(1, 5)
+G.add_edge(2, 3)
+G.add_edge(3, 4)
+G.add_edge(4, 5)
+
+# explicitly set positions
+pos = {1: (0, 0), 2: (-1, 0.3), 3: (2, 0.17), 4: (4, 0.255), 5: (5, 0.03)}
+
+options = {
+    "font_size": 36,
+    "node_size": 3000,
+    "node_color": "white",
+    "edgecolors": "black",
+    "linewidths": 5,
+    "width": 5,
+}
+nx.draw_networkx(G, pos, **options)
+
+# Set margins for the axes so that nodes aren't clipped
+ax = plt.gca()
+ax.margins(0.20)
+plt.axis("off")
+plt.show()
+
+# %%
+# A directed graph
+
+G = nx.DiGraph([(0, 3), (1, 3), (2, 4), (3, 5), (3, 6), (4, 6), (5, 6)])
+
+# group nodes by column
+left_nodes = [0, 1, 2]
+middle_nodes = [3, 4]
+right_nodes = [5, 6]
+
+# set the position according to column (x-coord)
+pos = {n: (0, i) for i, n in enumerate(left_nodes)}
+pos.update({n: (1, i + 0.5) for i, n in enumerate(middle_nodes)})
+pos.update({n: (2, i + 0.5) for i, n in enumerate(right_nodes)})
+
+nx.draw_networkx(G, pos, **options)
+
+# Set margins for the axes so that nodes aren't clipped
+ax = plt.gca()
+ax.margins(0.20)
+plt.axis("off")
+plt.show()