Grab the max value for each row of this array. Save these max values # as their own numpy array

large_arr = np.array([[389, 365, 134, 919, 523, 468, 671, 777], [674, 934, 679, 944, 837, 857, 549, 10], [250, 153, 152, 683, 31, 801, 797, 843], [870, 260, 952, 870, 273, 735, 304, 471], [299, 900, 224, 236, 102, 328, 918, 420], [821, 608, 715, 42, 399, 297, 57, 81], [618, 456, 772, 815, 790, 845, 264, 248], [731, 885, 793, 685, 474, 922, 316, 274], [819, 688, 186, 801, 117, 365, 461, 498], [384, 33, 883, 705, 562, 729, 721, 75], [834, 246, 796, 366, 70, 266, 305, 36], [170, 599, 830, 421, 552, 637, 575, 404], [617, 289, 10, 927, 970, 716, 373, 961], [215, 519, 534, 360, 355, 326, 13, 877], [315, 126, 952, 760, 439, 144, 91, 918], [855, 293, 59, 100, 802, 465, 240, 738], [486, 367, 482, 480, 744, 386, 668, 548], [984, 204, 323, 393, 463, 446, 505, 514], [777, 851, 768, 394, 740, 64, 250, 139], [708, 796, 345, 633, 800, 374, 958, 595], [400, 102, 414, 391, 910, 610, 26, 365], [837, 655, 708, 858, 280, 300, 624, 1], [596, 771, 3, 727, 709, 780, 847, 426], [521, 312, 902, 721, 478, 417, 581, 112], [290, 346, 904, 550, 936, 488, 908, 677], [517, 144, 938, 246, 788, 762, 604, 88], [842, 24, 552, 356, 125, 309, 909, 289], [309, 863, 713, 327, 461, 834, 989, 437], [ 78, 699, 939, 494, 974, 449, 346, 334], [919, 803, 428, 642, 577, 920, 660, 94]])

This is in python.