£Á°èZ¨Ä…–K§‚«“ô4“ÒÙ´dîfUÙÃÅ WKbyʦ•êŽ…È®FÒ¿ÊÎóCozá¬S@6{Í:›œêZÌ:Š•_%:¢¾¾~;‘Ã~芩ÊǍí`ÔÑ©ú뙵'5I¿fš×WO%ø9¾«¾DK|€ùÍD”Ýs]nHÕ¶êםӼ㞪éUWŸÈË%DÒÕ¬ï‘]/Åcx ‰ï2ß]ä6G[]S£Ôϯrs{úëóµmÒï#UQxo·õÞCe]"±/aÙ&Eã4ú9Jé_ÞåëdãöKë)AÞ ¯¹ægƒÛowЍø^d™ý½ßB7áyMä9ÜÖUã !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! import numpy as np nd1 = np.array([[1, 2], [3, 4]]) # reshape nd1.reshape(4) nd1.reshape(2, 2) nd1.reshape((2, 2)) nd1.reshape((2, 2), order="C") nd1.reshape(4, order="C") # resize nd1.resize() nd1.resize(4) nd1.resize(2, 2) nd1.resize((2, 2)) nd1.resize((2, 2), refcheck=True) nd1.resize(4, refcheck=True) nd2 = np.array([[1, 2], [3, 4]]) # transpose nd2.transpose() nd2.transpose(1, 0) nd2.transpose((1, 0)) # swapaxes nd2.swapaxes(0, 1) # flatten nd2.flatten() nd2.flatten("C") # ravel nd2.ravel() nd2.ravel("C") # squeeze nd2.squeeze() nd3 = np.array([[1, 2]]) nd3.squeeze(0) nd4 = np.array([[[1, 2]]]) nd4.squeeze((0, 1))