using for loop to install conda package

.CondaPkg/env/share/doc/networkx-3.1/examples/3d_drawing/README.txt

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+3D Drawing
+----------

.CondaPkg/env/share/doc/networkx-3.1/examples/3d_drawing/mayavi2_spring.py

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+"""
+=======
+Mayavi2
+=======
+
+"""
+
+import networkx as nx
+import numpy as np
+from mayavi import mlab
+
+# some graphs to try
+# H=nx.krackhardt_kite_graph()
+# H=nx.Graph();H.add_edge('a','b');H.add_edge('a','c');H.add_edge('a','d')
+# H=nx.grid_2d_graph(4,5)
+H = nx.cycle_graph(20)
+
+# reorder nodes from 0,len(G)-1
+G = nx.convert_node_labels_to_integers(H)
+# 3d spring layout
+pos = nx.spring_layout(G, dim=3, seed=1001)
+# numpy array of x,y,z positions in sorted node order
+xyz = np.array([pos[v] for v in sorted(G)])
+# scalar colors
+scalars = np.array(list(G.nodes())) + 5
+
+mlab.figure()
+
+pts = mlab.points3d(
+    xyz[:, 0],
+    xyz[:, 1],
+    xyz[:, 2],
+    scalars,
+    scale_factor=0.1,
+    scale_mode="none",
+    colormap="Blues",
+    resolution=20,
+)
+
+pts.mlab_source.dataset.lines = np.array(list(G.edges()))
+tube = mlab.pipeline.tube(pts, tube_radius=0.01)
+mlab.pipeline.surface(tube, color=(0.8, 0.8, 0.8))
+mlab.orientation_axes()

.CondaPkg/env/share/doc/networkx-3.1/examples/3d_drawing/plot_basic.py

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+"""
+================
+Basic matplotlib
+================
+
+A basic example of 3D Graph visualization using `mpl_toolkits.mplot_3d`.
+
+"""
+
+import networkx as nx
+import numpy as np
+import matplotlib.pyplot as plt
+from mpl_toolkits.mplot3d import Axes3D
+
+# The graph to visualize
+G = nx.cycle_graph(20)
+
+# 3d spring layout
+pos = nx.spring_layout(G, dim=3, seed=779)
+# Extract node and edge positions from the layout
+node_xyz = np.array([pos[v] for v in sorted(G)])
+edge_xyz = np.array([(pos[u], pos[v]) for u, v in G.edges()])
+
+# Create the 3D figure
+fig = plt.figure()
+ax = fig.add_subplot(111, projection="3d")
+
+# Plot the nodes - alpha is scaled by "depth" automatically
+ax.scatter(*node_xyz.T, s=100, ec="w")
+
+# Plot the edges
+for vizedge in edge_xyz:
+    ax.plot(*vizedge.T, color="tab:gray")
+
+
+def _format_axes(ax):
+    """Visualization options for the 3D axes."""
+    # Turn gridlines off
+    ax.grid(False)
+    # Suppress tick labels
+    for dim in (ax.xaxis, ax.yaxis, ax.zaxis):
+        dim.set_ticks([])
+    # Set axes labels
+    ax.set_xlabel("x")
+    ax.set_ylabel("y")
+    ax.set_zlabel("z")
+
+
+_format_axes(ax)
+fig.tight_layout()
+plt.show()