add padding function to imgScalePadding()

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

@@ -1,2 +0,0 @@
-3D Drawing
-----------

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

@@ -1,43 +0,0 @@
-"""
-=======
-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

@@ -1,51 +0,0 @@
-"""
-================
-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()