How to install numpy and scipy for Ironpython27?
I think this is the most popular way to do it before:
I think this is the most popular way to do it before:
Does anyone know a scipy/numpy module which will allow to fit exponential decay to data?
I want to create an array which holds all the max()es of a window moving through a given numpy array. I’m sorry if this sounds confusing. I’ll give an example. Input:
I want to use numpy.exp like this:
I’m using zero padding around my image and convolution kernel, converting them to the Fourier domain, and inverting them back to get the convolved image, see code below. The result, however, is wrong. I was expecting a blurred image, but the output is four shifted quarters. Why is the output wrong, and how can I fix the code?
I’m trying to fit the distribution of some experimental values with a custom probability density function. Obviously, the integral of the resulting function should always be equal to 1, but the results of simple scipy.optimize.curve_fit(function, dataBincenters, dataCounts) never satisfy this condition.
What is the best way to solve this problem?
I need to create a numpy 2D array which represents a binary mask of a polygon, using standard Python packages.
I am trying to plot a line in matplotlib.. I am searching for the right type of interpolation.. I want something like this
I’d like to create a function that takes a (sorted) list as its argument and outputs a list containing each element’s corresponding percentile.
What is the fastest FFT implementation in Python?