I need the Python / Numpy equivalent of Matlab (Octave) discrete Laplacian operator (function) del2(). I tried couple Python solutions, none of which seem to match the output of del2. On Octave I have
This is my first post and I\'m still a Python and Scipy newcomer, so go easy on me! I\'m trying to convert an Nx1 matrix into a python list. Say I have some 3x1 matrix
This might be something really simple: I am using Python 2.6.5 and I am 开发者_Go百科unable to load any integration module in my working space. Everything is OK when I import scipy, but if I try to im
I have an array of 10 rows by 20 columns. Each columns corresponds to a data set that cannot be fitted with any sort of continuous mathematical function (it\'s a series of numbers derived experimental
I\'m working on some research code which uses scipy.optimize.leastsq to optimize a function. It does this about 18 times per iteration, so I would like call leastsq in parallel to reduce running time.
If I have this equation f(v,R,xi)=2/v*((((((v*t0/2)+R))*2+((xi-x0)*2))**0.5)-R). How to 开发者_如何学JAVAget the first-order optimality from that equation when I use that equation to get min v,R usin
I want to know how to efficiently add sparse matrices in Python. I have a program that breaks a big task into subtasks and distributes them across several CPUs. Each subtask yields a result (a scipy
I\'m new to Mac so please bear with me. I\'m using snow leopard 10.6.4 at the moment. I want to instal开发者_运维知识库l numpy and scipy, so I downloaded the python2.6,numpy and scipy dmg files from t
I am using Python 2.6, Excel 2007 Professional and the latest version of PyXLL. When loading a module in PyXLL that has
The code below is giving me a flat line for the line of best fit rather than a nice curve along the model of e^(-x) that would fit the data.Can anyone show me how to fix the code below so that it fits
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