For fitting y = A + B log x, just fit y against (log x). >>> x = numpy.array([1, 7, 20, 50, 79]) >>> y = numpy.array([10, 19, 30, 35, 51]) >>> numpy.polyfit(numpy.log(x), y, 1) array([ 8.46295607, 6.61867463]) # y ≈ 8.46 log(x) + 6.62 For fitting y = AeBx, take the logarithm of both … Read more
An import is required, import scipy.io… import scipy.io mat = scipy.io.loadmat(‘file.mat’)
Distribution Fitting with Sum of Square Error (SSE) This is an update and modification to Saullo’s answer, that uses the full list of the current scipy.stats distributions and returns the distribution with the least SSE between the distribution’s histogram and the data’s histogram. Example Fitting Using the El Niño dataset from statsmodels, the distributions are … Read more
To sort by the second column of a: a[a[:, 1].argsort()]
You can use Numpy’s genfromtxt() method to do so, by setting the delimiter kwarg to a comma. from numpy import genfromtxt my_data = genfromtxt(‘my_file.csv’, delimiter=”,”) More information on the function can be found at its respective documentation.