I am trying to find the local and global efficiency of a graph using networkx. I have a weighted graph where the weights of the links are greater than 0. So, the adjacency matrix (adj) is weighted. I tried the following code
import networkx as nx
G=nx. Graph(adj) # adj is the weighted adjacency matrix
eff=nx.global_efficiency(G)
However, I am getting the follwoing error:
AttributeError: 'module' object has no attribute 'global_efficiency'
Can anyone please help me solve this issue?
I solved the issue. It was due to the older version of networkx that I was using. I was able to successfully run the above code after upgrading the networkx version.
Thank you.
Related
I'm trying to plot a normal distribution law with pyspark, does anyone have a syntax please?
I tried with the numpy, matplotlib and scipy libraries but I still can't.
load wavsheep
plot(tsh,sheep)
axis tight
title('"I saw the sheep."')
xlabel("Time (sec)")
ylabel("Amplitude")
wt = tqwt(sheep);
I was trying to run this sample code from matlab but I kept getting this error: Unrecognized function or variable 'tqwt'. Can someone help me find out the mistake?
tqwt is part of the Wavelet Toolbox and was introduced in R2021b. It will not exist if your version of MATLAB is older, or if you don’t have the Wavelet Toolbox installed.
I need to find the "null vector" of the matrix in LabVIEW. But I couldn't find the related block.
For example in MatLab, for the Matrix A we can simply find the null vector with the command: null(A); But in LabVIEW I can't do this till now.
Could someone help me?
One easy way to do this is to use the MathScript node, which allows for many Matlab commands to be used in LabVIEW. Here's an example:
If you don't want to use the MathScript node, then you can get the result from the "Matrix V" output of "SVD decomposition" as shown in the second part of the code.
As a part of my project I need to generate high dimensional non linear dataset / spherical dataset...I am using Matlab to generate it...I have tried using randn,surf and plot3 functions ..I referred
http://in.mathworks.com/help/matlab/math/numbers-placed-randomly-within-volume-of-sphere.html
I got the output but I dont have any clear idea....Can anyone help with this or suggest how to generate the dataset mentioned .. like any function?.Also I would like to view the dataset like by using plot or something.....Thanx in advance...
I am trying to compute the accuracy of the HMAX model. First, I used a simple nearest Neighbor Classifier, secondly the Support Vector Machine (SVM) classifier.
In my laptop, I have the 7.6.0(R2008a) MATLAB version, and I obtained great values of accuracy by using either the nearest neighbor or svm classifer. When I moved to work on my friend's laptop in which the R2013b matlab version is installed instead of 7.6.0(R2008a), I always got the same error by using the svm classifer.
Error in mexSVMTrain (line 1)
function [AlphaY, SVs, Bias, Parameters, nSV, nLabel] = mexSVMTrain(Samples, Labels, Parameters, Weight, Verbose)
Output argument "AlphaY" (and maybe others) not assigned during call to
"C:\Users\xxxx\Documents\MATLAB\aub matlab\osu-svm\mexSVMTrain.m>mexSVMTrain".
Please I need your help in order to resolve this problem. Any help will be very appreciated.
It's not a solution to your problem. Seems like the existed mexSVMTrain.dll in the old version Matlab needs to be recompiled to work in the new released version, but it is unclear how it is recompiled without any C source code for mexSVMTrain from OSU_SVM.
I would suggest you use libsvm for the SVM part instead.