Peter Otten wrote: > raulmaqueda6...@gmail.com wrote: > >> I do not know how to do this exercise, does anyone help me? >> >> Define the matrix_range (m) function that returns the range of an array >> calculated by the Gaussian method. >> >> It should work with any number of rows and columns. No punctuation will >> be given to deliveries that do not respect this requirement. >> >> >> Operating example: >> >>>>> matrix_range ([[1,0,0], [0,1,0], [0,0,1]]) >> 3 > > If this were not a homework problem you'd use numpy.linalg.matrix_range().
Of course Peter Pearson's hint applies to my answer. The above function doesn't exist, it should be numpy.linalg.matrix_rank() >>> numpy.linalg.matrix_rank([[1,0,0], [0,1,0], [0,0,1]]) 3 which should not be confused with numpy.rank() that just returns the number of dimensions: >>> numpy.rank([[1,0,0], [0,1,0], [0,0,1]]) 2 >>> numpy.rank([[[[[[]]]]]]) 6 > In your case, however, your teacher wants you to implement the algorithm > yourself. > > Do you know how to calculate the matrix range with pen and paper? > > Write down the steps in plain english and then try to implement them one > after another in Python. Once you have some code and run into a problem > you have something to show us, and we'll happily give you the hints > necessary to fix it. -- https://mail.python.org/mailman/listinfo/python-list
