I am running the following script as a basic input-output model but the inverse function is bringing back an incorrect result (I have checked this by inputting the data manually).I am very new to python but I assume the error occurs in how the data is gathered from the csv but I don’t know how to fix this. Any advice would be much appreciated. import numpy from numpy import * from numpy.linalg import * from numpy import genfromtxt conMatrix = genfromtxt("iopy.csv", delimiter=',') print "Consumption Matrix (C)" print conMatrix print "" #print "Consumption Matrix (C)" #manually entered data #conMatrix = numpy.matrix('0.4102 0.0301 0.0257; 0.0624 0.3783 0.1050; 0.1236 0.1588 0.1919') #print conMatrix identityMatrix = numpy.identity(3) print "Identity Matrix (I)" print identityMatrix print "" print "I-C" eyesee = numpy.subtract(identityMatrix, conMatrix) numpy.matrix(eyesee) print eyesee print "" print "(I-C)-1" inv = numpy.matrix(eyesee).I print inv print "" print "(I-C)-1*d" d = numpy.matrix('39.24 60.02 130.65') d.shape = (3,1) print inv*d raw_input() Thank you Shaun -- View this message in context: http://old.nabble.com/Numpy-inverse-giving-incorrect-result-tp33894469p33894... Sent from the Numpy-discussion mailing list archive at Nabble.com.