NLP之TFTS讀入資料：TF之TFTS讀入時間序列資料的幾種方法

T1、從Numpy 陣列中讀入時間序列資料

1、設計思路

2、輸出結果

{'times': 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]), 'values': array([[ -1.61520834e-01],
       [ -1.20098371e-01],
       [  4.83943258e-02],
       
……

       [  4.99396130e+00],
       [  4.91760246e+00]])}

one_batch_data: {'times': array([[11, 12, 13, 14, 15, 16, 17, 18, 19, 20],
       [52, 53, 54, 55, 56, 57, 58, 59, 60, 61]]), 'values': array([[[ 0.2116637 ],
        [ 0.35786912],
        [ 0.46659477],
        [ 0.47641276],
        [ 0.69212934],
        [ 0.38971264],
        [ 0.75060135],
        [ 0.67389518],
        [ 0.79628369],
        [ 0.66315587]],

       [[ 1.37931288],
        [ 1.20433465],
        [ 1.25861198],
        [ 1.22299998],
        [ 1.07184071],
        [ 1.29255228],
        [ 1.125529  ],
        [ 1.13725779],
        [ 1.37877491],
        [ 1.05761771]]])}
 

T2、從csv檔案中讀入時間序列資料

1、設計思路

2、輸出結果

csv檔案內容

{'times': array([  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], dtype=int64), 'values': array([[ -0.66566038],
       [ -0.11643804],
       [  0.73986262],
       [  0.73686332],
       [  0.22894809],
       [  2.25707316],
       [  3.02345729],
       [  2.48116112],
       [  3.77363873],
      
……

       [  9.78094292],
       [  9.75562382],
       [  9.1494894 ],
       [  8.94796562],
       [  9.1767683 ],
       [  8.76840878],
       [ 10.39624882],
       [ 10.39477444],
       [ 11.63126087],
       [ 11.82220745],
       [ 13.60107708],

       ……

       [ 48.50384903],
       [ 50.1702652 ]], dtype=float32)}

batch1: {'times': array([[  2,   3,   4,   5,   6,   7,   8,   9,  10,  11,  12,  13,  14,
         15,  16,  17],
       [ 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111,
        112, 113, 114],
       [ 83,  84,  85,  86,  87,  88,  89,  90,  91,  92,  93,  94,  95,
         96,  97,  98],
       [ 18,  19,  20,  21,  22,  23,  24,  25,  26,  27,  28,  29,  30,
         31,  32,  33]], dtype=int64), 'values': array([[[ -0.11643804],
        [  0.73986262],
        [  0.73686332],
        [  0.22894809],
        [  2.25707316],
        [  3.02345729],
        [  2.48116112],
        [  3.77363873],
        [  5.05925751],
        [  3.55318618],
        [  4.55448627],
        [  3.65547562],
        [  3.41964769],
        [  4.3033762 ],
        [  4.83015394],
        [  7.25305748]],

       [[  9.1494894 ],
        [  8.94796562],
        [  9.1767683 ],
        [  8.76840878],
        [ 10.39624882],
        [ 10.39477444],
        [ 11.63126087],
        [ 11.82220745],
        [ 13.60107708],
        [ 14.54919147],
        [ 12.63475323],
        [ 13.77411556],
        [ 14.4580822 ],
        [ 13.27674103],
        [ 16.00004959],
        [ 13.04977226]],

       [[  5.21278238],
        [  6.05672884],
        [  5.40424728],
        [  4.73352098],
        [  5.241045  ],
        [  6.84472036],
        [  8.24261761],
        [  6.6868186 ],
        [  6.42903566],
        [  7.45926046],
        [  8.22571754],
        [  7.66172266],
        [  8.3487215 ],
        [  8.02922821],
        [  9.78094292],
        [  9.75562382]],

       [[  5.06480217],
        [  5.44808197],
        [  6.25130129],
        [  6.21433544],
        [  3.07021165],
        [  6.99548769],
        [  7.18094254],
        [  6.08487606],
        [  6.95580626],
        [  6.69231272],
        [  6.33995914],
        [  7.65901327],
        [  6.15707159],
        [  4.02366161],
        [  7.38055515],
        [  6.97215605]]], dtype=float32)}
batch2: {'times': array([[196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208,
        209, 210, 211],
       [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],
       [ 67,  68,  69,  70,  71,  72,  73,  74,  75,  76,  77,  78,  79,
         80,  81,  82]], dtype=int64), 'values': array([[[ 18.70889664],
        [ 20.97040749],
        [ 18.98358727],
        [ 20.76308441],
        [ 19.8111763 ],
        [ 20.24139977],
        [ 20.78884697],
        [ 19.92458725],
        [ 21.60401917],
        [ 23.30040932],
        [ 22.26217079],
        [ 21.24304962],
        [ 22.0769062 ],
        [ 21.78022194],
        [ 22.94853401],
        [ 23.72076225]],

       [[ 14.08812237],
        [ 13.05949211],
        [ 12.18454933],
        [ 13.0100584 ],
        [ 12.45032787],
        [ 12.20445251],
        [ 14.39420128],
        [ 13.49261189],
        [ 14.91460896],
        [ 15.97672939],
        [ 13.96235466],
        [ 13.77840614],
        [ 14.39425278],
        [ 14.3149929 ],
        [ 14.37080956],
        [ 15.34130669]],

       [[ 13.42441463],
        [ 14.54726124],
        [ 12.51644135],
        [ 15.36040783],
        [ 14.52577019],
        [ 15.90562916],
        [ 15.12482071],
        [ 15.55534458],
        [ 12.2242775 ],
        [ 15.11554909],
        [ 14.23464584],
        [ 16.52157021],
        [ 18.14558029],
        [ 16.51932144],
        [ 16.8815918 ],
        [ 18.08337784]],

       [[  2.63787413],
        [  2.85149288],
        [  1.90719497],
        [  2.56881618],
        [  3.8692596 ],
        [  3.98991776],
        [  3.64151525],
        [  2.81291175],
        [  4.96482801],
        [  3.05093789],
        [  4.2030468 ],
        [  4.26916265],
        [  2.81864333],
        [  3.33492851],
        [  5.23974133],
        [  4.97288084]]], dtype=float32)}