In my application, the data data is sampled on a distorted grid, and I would like to resample it to a nondistorted grid. In order to test this, I wrote this program with examplary distortions and a si
I\'m trying to use numpy.optimize.curve_fit to estimate the frequency and phase of an on/off sequence.
I want to use scipy.spatial\'s KDTree to find nearest neighbor pairs in a two dimensional array (essentially a list of lists where the dimension of the nested list is 2). I generate my list of lists,
I\'m not sure if my post question makes lots of sense; however, I\'m building an input array for a class/function that takes in a lot of user inputed data and outputs a 开发者_JAVA技巧numpy array.
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If I wanted to make a combined image like the one shown below (original source here), could you point me to the matplotlib objects do I need to assemble? I\'ve been tryi开发者_开发知识库ng to work wi
This is a similar question using dtypes in a list The following snippet creates a \"typical test array\", the purpose of this array is to test an assortment of things in my program. Is there a way
The numpy documentation shows an example of masking existing values with ma.masked a posteriori (after array creation), or creating a masked array from an list of what seem to be valid data types (int
please help me with a开发者_开发知识库n exampleYou don\'t need SciPy, you can do this with Python using the Wave module.
I have the following code in Python using Numpy: p = np.diag(1.0 / np.array(x)) How can I transform it to get the sparse matrix p2 with the same values as开发者_如何转开发 p without creating p firs
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