Look at the MST example on Wikipedia for reference: A bottleneck in a spanning tree is a maximum-weight edge in that tree. There may be several bottlenecks (all of the same weight of course) in a spanning tree. In the Wikipedia MST there are two bottlenecks of weight 8. Now, take a minimum spanning tree … Read more
fontsize can be assigned inside dictionary fontdict which provides additional parameters fontweight, verticalalignment , horizontalalignment The below snippet should work plt.title(‘Temperature \n Humidity’, fontdict = {‘fontsize’ : 100})
Here’s an alternative, possibly simpler solution: %matplotlib notebook import numpy as np import matplotlib.pyplot as plt m = 100 n = 100 matrix = np.random.normal(0,1,m*n).reshape(m,n) fig = plt.figure() ax = fig.add_subplot(111) plt.ion() fig.show() fig.canvas.draw() for i in range(0,100): ax.clear() ax.plot(matrix[i,:]) fig.canvas.draw()
Option 1: Microsoft Automatic Graph Layout Free http://research.microsoft.com/en-us/projects/msagl/ GitHub https://github.com/Microsoft/automatic-graph-layout.git Winforms >> WPF It’s WinForms, but it can be imported into WPF with a few lines of code. Visualizing Nodes and Edges with Microsoft Automatic Graph Layout http://www.codeguru.com/csharp/.net/net_wpf/article.php/c16963/Visualizing-Nodes-and-Edges-with-Microsoft-Automatic-Graph-Layout.htm Examples http://research.microsoft.com/en-us/projects/msagl/#Layouts FAQ http://research.microsoft.com/en-us/projects/msagl/faq.aspx Option 2: QuickGraph – A 100% C# graph library with Graphviz Support Free … Read more
Use the `pos` argument in Rgraphviz to fix node position
You may have a networkx MultiGraph instead of a graph and in that case the attribute setting for edges is a little tricker. (You can get a multigraph by loading a graph with more than one edge between nodes). You may be corrupting the data structure by assigning the attribute G.edge[id_source][id_target][‘type’]= value when you need … Read more
A DFS without recursion is basically the same as BFS – but use a stack instead of a queue as the data structure. The thread Iterative DFS vs Recursive DFS and different elements order handles with both approaches and the difference between them (and there is! you will not traverse the nodes in the same … Read more
You can use this simple script to do that. But you must specify the names of the output nodes. import tensorflow as tf meta_path=”model.ckpt-22480.meta” # Your .meta file output_node_names = [‘output:0’] # Output nodes with tf.Session() as sess: # Restore the graph saver = tf.train.import_meta_graph(meta_path) # Load weights saver.restore(sess,tf.train.latest_checkpoint(‘path/of/your/.meta/file’)) # Freeze the graph frozen_graph_def = … Read more