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2. plot - Tree plotting in Python - Stack Overflow

   stackoverflow.com/questions/7670280

   Plotly can plot tree diagrams using igraph. You can use it offline these days too. The example below is intended to be run in a Jupyter notebook. import plotly.plotly as py. import plotly.graph_objs as go. import igraph. from igraph import *. # I do not endorse importing * like this. #Set Up Tree with igraph.

3. Is there a visual profiler for Python? - Stack Overflow

   stackoverflow.com/questions/3378953

   1. vprof is a similar tool that also uses the flamegraph, but it can also do memory profiling. Unfortunately it only shows cumulative time and not the total time spent in a function. – goodmami. Commented Sep 13, 2018 at 0:03. python. user-interface. profiling. profiler.

4. python - Display normal vectors with...

   stackoverflow.com/questions/73023863

   I'm using the amazing open3d Python libary to visualize some point Cloud. I already know the normal vectors of these points that I attribute directly as follows: pcd = o3d.geometry.PointCloud() pcd.points = o3d.utility.Vector3dVector(points) pcd.normals = o3d.utility.Vector3dVector(normals) I am also setting a visualizer in which I insert these ...

5. python - Open3d - visualizing multiple point clouds as a video...

   stackoverflow.com/questions/62912397

   8. I have generated multiple point clouds using a RGB+depth video, and would like to visualize the multiple point clouds as a video or animation. Currently I am using Python, part of my code is as follows: pcd = Track.create_pcd(i) o3d.visualization.draw_geometries([pcd]) pcd_list.append(pcd) When I use draw_geometries or draw_geometries_with ...

6. Python - Display 3D Point Cloud - Stack Overflow

   stackoverflow.com/questions/50965673

   Open cmd and type: This will install Open3D on your machine and you will then be able to read and display your PLY point clouds just by executing the following sample script: cloud = io.read_point_cloud("output.ply") # Read point cloud. visualization.draw_geometries([cloud]) # Visualize point cloud. main()

7. python - Visualizing your code's architecture - Stack Overflow

   stackoverflow.com/questions/49647160

   However there are some tools that can help you. In Pycharm you can: view structure and hierarchy of the source code. view UML diagram of your classes. There is also the pycallgraph2 Python module that can create call graph visualizations for Python applications. (This is a maintained fork of the discontinued pycallgraph Python module) And there ...

8. Simple tool/library to visualize huge python dict

   stackoverflow.com/questions/15023333

   The correct way to run Thorsten's code is: install traits module: sudo apt-get install python-traitsui. change the module import lines in his code to: from traits.api \. import HasTraits, Instance, Str, on_trait_change. from traitsui.api \. import View, VGroup, Item, ValueEditor, TextEditor.

9. python - Extracting k from Yellow brick KElbowVisualizer - Stack...

   stackoverflow.com/questions/69423061

   from sklearn.cluster import KMeans from sklearn.datasets import make_blobs from yellowbrick.cluster import KElbowVisualizer # Generate synthetic dataset with 8 random clusters X, y = make_blobs(n_samples=1000, n_features=12, centers=8, random_state=42) # Instantiate the clustering model and visualizer model = KMeans() visualizer = KElbowVisualizer(model, k=(4,12)) visualizer.fit(X) # Fit the ...

10. python - How to visualize a neural network - Stack Overflow

    stackoverflow.com/questions/29888233

    network.add_layer(l) network.draw() Now the layers are also labeled, the axis are deleted and constructing the plot is easier. It's simply done by: network = DrawNN( [2,8,8,1] ) network.draw() Here a net with the following structure is constructed: 2 Neurons in the input layer. 8 Neurons in the 1st hidden layer.

11. networkx - Plotting directed graphs in Python in a way that show...

    stackoverflow.com/questions/10379448

    The problem that I've run into is that most Python graph visualization libraries combine pairs of directed edges into a single edge. For example, NetworkX draws only two edges when displaying the following graph, whereas I would like to display each of the four edges separately: