The cov() NumPy function can be used to calculate a covariance matrix between two or more variables. 1 covariance = cov(data1, data2) The diagonal of the matrix contains the covariance between each variable and itself. The other values in the matrix represent the covariance between the two...
numpy.dot is a function to calculte the matrix multiplication; reduce(function, sequence[, initial]) is a built-in function in python2, if you are in python3 where reduce() has been moved to functools, please use from functools import reduce to import and use it. In this case, the fu...
Python NumPy Programs »Separate bins with vertical lines in histogram How to Create a Covariance Matrix in Python?Advertisement Advertisement Related TutorialsConvert two columns array to matrix with counts of occurrences How to randomly shuffle data and target in Python? Euclidean distance ...