I have an array of shape (l,m,n). I\'m trying to calculate a distance matrix of shape (l,m,n) where entry (i,j,k) is the coefficient between vectors (i,j,:) and (i,:,k).I haven\'t found anything in nu
Does python have a built-in function that converts a matrix into row echelon form (also known a开发者_开发问答s upper triangular)?If you can use sympy, Matrix.rref() can do it:
Maybe I made a mistake. If so, I am sorry to ask this. I want to calculate Pearson\'s correlation coefficent by using scipy\'s pearsonr function.
is there a way for calculating the average within a certain开发者_高级运维 bbox. The difficulty is that the bbox may also contain float values, so that the bounds of the box values must be weighted. T
Using the code posted here, I created a nice hierarchical clustering: Let\'s say the the dendrogram on the left was created by doing something like
I would appreciate any help, to understand following behavior when slicing a lil_matrix (A) from the scipy.sparse package.
I am trying to use the fmin function in scipy.optimize, which implements str开发者_如何学JAVAaightforward Nelder Mead minimization. Is there a version which exists which includes C.T. Kelley\'s restar
I have a data surface that I\'m fitting using SciPy\'s leastsq function. I would like to have some estimate of the quality of the fit after leastsq returns. I\'d expected that this would be included
I\'ve been playing with Scipy\'s inline tool (via weave) for fun, but I\'m running into some trouble. My C is rusty and I have a feeling that I\'m missing something simple.
Is there a way to dynamically expand an scipy array from scipy import sci time = sci.zeros((n,1), \'double\')
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