I have a repeating signal that varies a little bit with each cycle of a process that repeats roughly every second, though the duration and the contents of each cycle vary from each other a little bit
I have a scipy array, e.g. a = array([[0, 0, 1], [1, 1, 1], [1, 1, 1], [1, 0, 1]]) I want to count the number of occurrences of each 开发者_Python百科unique element in the array. For example, for t
I am trying to compute a definite double integral using scipy. The integrand is a bit complicated, as it contains some probability distributions to give weight to how likely is each value of x and y (
I\'m trying to perform GLM (Generalized linear model) repeatedly within a python script (within a loop).
Can anyone provide an example of providing a Jacobian to a least squares function in scipy? I can\'t figure out the method signature they want - they say it should be a function, yet 开发者_如何学JAV
It seems开发者_如何学C if it is the same distribution, drawing random samples from numpy.random is faster than doing so from scipy.stats.-.rvs. I was wondering what causes the speed difference between
I have a 2d numpy array of bools, and I\'d like to know how many unique rows my data set contains and the frequency of each row. The only way I could solve this problem is by converting my whole data
Hey gang, so I\'ve written a swig wrapper for some C code. I\'m trying to bridge the gap between scipy arrays and C arrays, which I know is messy. After a clean compilation (well...not including some
I tried to do bundle adjustment by python. So I\'m test non-linear least square module. Then I wrote code like below. I want to get right Pmat represents camera projection matrix for three cameras. B
Does anyone know a scipy/numpy module which will allow to fit exp开发者_如何学运维onential decay to data?
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