In [1]:
import numpy as np
In [2]:
np.__version__
Out[2]:
'1.18.1'
In [4]:
np.array(range(1500))
Out[4]:
array([ 0, 1, 2, ..., 1497, 1498, 1499])
In [5]:
np.set_printoptions(threshold=5000)
np.array(range(1500))
Out[5]:
array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10,
11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21,
22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32,
33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43,
44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54,
55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65,
66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76,
77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87,
88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98,
99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109,
110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120,
121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131,
132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142,
143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153,
154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164,
165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175,
176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186,
187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197,
198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,
209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219,
220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230,
231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241,
242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252,
253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263,
264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274,
275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285,
286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296,
297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307,
308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318,
319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329,
330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340,
341, 342, 343, 344, 345, 346, 347, 348, 349, 350, 351,
352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362,
363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373,
374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384,
385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395,
396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406,
407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417,
418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428,
429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439,
440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450,
451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461,
462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 472,
473, 474, 475, 476, 477, 478, 479, 480, 481, 482, 483,
484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494,
495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505,
506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516,
517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527,
528, 529, 530, 531, 532, 533, 534, 535, 536, 537, 538,
539, 540, 541, 542, 543, 544, 545, 546, 547, 548, 549,
550, 551, 552, 553, 554, 555, 556, 557, 558, 559, 560,
561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571,
572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582,
583, 584, 585, 586, 587, 588, 589, 590, 591, 592, 593,
594, 595, 596, 597, 598, 599, 600, 601, 602, 603, 604,
605, 606, 607, 608, 609, 610, 611, 612, 613, 614, 615,
616, 617, 618, 619, 620, 621, 622, 623, 624, 625, 626,
627, 628, 629, 630, 631, 632, 633, 634, 635, 636, 637,
638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648,
649, 650, 651, 652, 653, 654, 655, 656, 657, 658, 659,
660, 661, 662, 663, 664, 665, 666, 667, 668, 669, 670,
671, 672, 673, 674, 675, 676, 677, 678, 679, 680, 681,
682, 683, 684, 685, 686, 687, 688, 689, 690, 691, 692,
693, 694, 695, 696, 697, 698, 699, 700, 701, 702, 703,
704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714,
715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725,
726, 727, 728, 729, 730, 731, 732, 733, 734, 735, 736,
737, 738, 739, 740, 741, 742, 743, 744, 745, 746, 747,
748, 749, 750, 751, 752, 753, 754, 755, 756, 757, 758,
759, 760, 761, 762, 763, 764, 765, 766, 767, 768, 769,
770, 771, 772, 773, 774, 775, 776, 777, 778, 779, 780,
781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791,
792, 793, 794, 795, 796, 797, 798, 799, 800, 801, 802,
803, 804, 805, 806, 807, 808, 809, 810, 811, 812, 813,
814, 815, 816, 817, 818, 819, 820, 821, 822, 823, 824,
825, 826, 827, 828, 829, 830, 831, 832, 833, 834, 835,
836, 837, 838, 839, 840, 841, 842, 843, 844, 845, 846,
847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857,
858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868,
869, 870, 871, 872, 873, 874, 875, 876, 877, 878, 879,
880, 881, 882, 883, 884, 885, 886, 887, 888, 889, 890,
891, 892, 893, 894, 895, 896, 897, 898, 899, 900, 901,
902, 903, 904, 905, 906, 907, 908, 909, 910, 911, 912,
913, 914, 915, 916, 917, 918, 919, 920, 921, 922, 923,
924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934,
935, 936, 937, 938, 939, 940, 941, 942, 943, 944, 945,
946, 947, 948, 949, 950, 951, 952, 953, 954, 955, 956,
957, 958, 959, 960, 961, 962, 963, 964, 965, 966, 967,
968, 969, 970, 971, 972, 973, 974, 975, 976, 977, 978,
979, 980, 981, 982, 983, 984, 985, 986, 987, 988, 989,
990, 991, 992, 993, 994, 995, 996, 997, 998, 999, 1000,
1001, 1002, 1003, 1004, 1005, 1006, 1007, 1008, 1009, 1010, 1011,
1012, 1013, 1014, 1015, 1016, 1017, 1018, 1019, 1020, 1021, 1022,
1023, 1024, 1025, 1026, 1027, 1028, 1029, 1030, 1031, 1032, 1033,
1034, 1035, 1036, 1037, 1038, 1039, 1040, 1041, 1042, 1043, 1044,
1045, 1046, 1047, 1048, 1049, 1050, 1051, 1052, 1053, 1054, 1055,
1056, 1057, 1058, 1059, 1060, 1061, 1062, 1063, 1064, 1065, 1066,
1067, 1068, 1069, 1070, 1071, 1072, 1073, 1074, 1075, 1076, 1077,
1078, 1079, 1080, 1081, 1082, 1083, 1084, 1085, 1086, 1087, 1088,
1089, 1090, 1091, 1092, 1093, 1094, 1095, 1096, 1097, 1098, 1099,
1100, 1101, 1102, 1103, 1104, 1105, 1106, 1107, 1108, 1109, 1110,
1111, 1112, 1113, 1114, 1115, 1116, 1117, 1118, 1119, 1120, 1121,
1122, 1123, 1124, 1125, 1126, 1127, 1128, 1129, 1130, 1131, 1132,
1133, 1134, 1135, 1136, 1137, 1138, 1139, 1140, 1141, 1142, 1143,
1144, 1145, 1146, 1147, 1148, 1149, 1150, 1151, 1152, 1153, 1154,
1155, 1156, 1157, 1158, 1159, 1160, 1161, 1162, 1163, 1164, 1165,
1166, 1167, 1168, 1169, 1170, 1171, 1172, 1173, 1174, 1175, 1176,
1177, 1178, 1179, 1180, 1181, 1182, 1183, 1184, 1185, 1186, 1187,
1188, 1189, 1190, 1191, 1192, 1193, 1194, 1195, 1196, 1197, 1198,
1199, 1200, 1201, 1202, 1203, 1204, 1205, 1206, 1207, 1208, 1209,
1210, 1211, 1212, 1213, 1214, 1215, 1216, 1217, 1218, 1219, 1220,
1221, 1222, 1223, 1224, 1225, 1226, 1227, 1228, 1229, 1230, 1231,
1232, 1233, 1234, 1235, 1236, 1237, 1238, 1239, 1240, 1241, 1242,
1243, 1244, 1245, 1246, 1247, 1248, 1249, 1250, 1251, 1252, 1253,
1254, 1255, 1256, 1257, 1258, 1259, 1260, 1261, 1262, 1263, 1264,
1265, 1266, 1267, 1268, 1269, 1270, 1271, 1272, 1273, 1274, 1275,
1276, 1277, 1278, 1279, 1280, 1281, 1282, 1283, 1284, 1285, 1286,
1287, 1288, 1289, 1290, 1291, 1292, 1293, 1294, 1295, 1296, 1297,
1298, 1299, 1300, 1301, 1302, 1303, 1304, 1305, 1306, 1307, 1308,
1309, 1310, 1311, 1312, 1313, 1314, 1315, 1316, 1317, 1318, 1319,
1320, 1321, 1322, 1323, 1324, 1325, 1326, 1327, 1328, 1329, 1330,
1331, 1332, 1333, 1334, 1335, 1336, 1337, 1338, 1339, 1340, 1341,
1342, 1343, 1344, 1345, 1346, 1347, 1348, 1349, 1350, 1351, 1352,
1353, 1354, 1355, 1356, 1357, 1358, 1359, 1360, 1361, 1362, 1363,
1364, 1365, 1366, 1367, 1368, 1369, 1370, 1371, 1372, 1373, 1374,
1375, 1376, 1377, 1378, 1379, 1380, 1381, 1382, 1383, 1384, 1385,
1386, 1387, 1388, 1389, 1390, 1391, 1392, 1393, 1394, 1395, 1396,
1397, 1398, 1399, 1400, 1401, 1402, 1403, 1404, 1405, 1406, 1407,
1408, 1409, 1410, 1411, 1412, 1413, 1414, 1415, 1416, 1417, 1418,
1419, 1420, 1421, 1422, 1423, 1424, 1425, 1426, 1427, 1428, 1429,
1430, 1431, 1432, 1433, 1434, 1435, 1436, 1437, 1438, 1439, 1440,
1441, 1442, 1443, 1444, 1445, 1446, 1447, 1448, 1449, 1450, 1451,
1452, 1453, 1454, 1455, 1456, 1457, 1458, 1459, 1460, 1461, 1462,
1463, 1464, 1465, 1466, 1467, 1468, 1469, 1470, 1471, 1472, 1473,
1474, 1475, 1476, 1477, 1478, 1479, 1480, 1481, 1482, 1483, 1484,
1485, 1486, 1487, 1488, 1489, 1490, 1491, 1492, 1493, 1494, 1495,
1496, 1497, 1498, 1499])
In [10]:
np.array(range(1500))
Out[10]:
array([ 0, 1, 2, ..., 1497, 1498, 1499])
In [13]:
np.set_printoptions(edgeitems=5)
np.array(range(1500))
Out[13]:
array([ 0, 1, 2, 3, 4, ..., 1495, 1496, 1497, 1498, 1499])
In [ ]:
Content source: queirozfcom/python-sandbox
Similar notebooks: