The leastsq method in scipy lib fits a curve to some data. And this method implies that in this data Y values depends on some X argument. And calculates the minimal distance between curve and the data point in the Y axis (dy) But what if I need to calculate minimal distance in both axes (dy and dx) Is there
Tag: scipy
Histogram Matplotlib
So I have a little problem. I have a data set in scipy that is already in the histogram format, so I have the center of the bins and the number of events per bin. How can I now plot is as a histogram. I tried just doing but it didn’t like that. Any recommendations? Answer The object-oriented interface is
Discrete Laplacian (del2 equivalent) in Python
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 gives the result On Python I tried which gives the result I also tried That gives the result So none of the outputs seem to
Convert Z-score (Z-value, standard score) to p-value for normal distribution in Python
How does one convert a Z-score from the Z-distribution (standard normal distribution, Gaussian distribution) to a p-value? I have yet to find the magical function in Scipy’s stats module to do this, but one must be there. Answer I like the survival function (upper tail probability) of the normal distribution a bit better, because the function name is more informative:
The Assignment Problem, a NumPy function?
Since an assignment problem can be posed in the form of a single matrix, I am wondering if NumPy has a function to solve such a matrix. So far I have found none. Maybe one of you guys know if NumPy/SciPy has an assignment-problem-solve function? Edit: In the meanwhile I have found a Python (not NumPy/SciPy) implementation at http://software.clapper.org/munkres/. Still