Каким образом отсеивать данные массива с последовательными, но иногда повторяющимися данными в потоке?

Question

[3Create]

Уже был подобный вопрос, но решение (@MinTnt) получилось для статических данных.
Типо так:

a = [[1001, 50], [1002, 50], [1003, 50], [1004, 50]]

b = [[1003, 60], [1004, 60], [1005, 50], [1006, 50]]

a = list({x[0]: x for x in a+b}.values())
с = sorted(a, key=lambda x: x[0])
print(с)

вот пример что приходит:

[[7119, 364.42, 0.1615, 0], [7120, 364.42, 0.0969, 0], [7121, 364.66, 0.8113, 0], [7122, 364.67, 5.4208, 0], [7128, 364.64, 2.9978, 0], [7129, 364.64, 0.1081, 0], [7130, 364.53, 0.4472, 0], [7132, 364.53, 4.0, 0], [7133, 364.53, 1.5, 0], [7134, 364.53, 1.5, 0], [7135, 364.53, 0.4719, 0], <b>[7136, 364.53, 0.4472, 0], [7137, 364.54, 0.4472, 0]</b>]
# Новое значение через 1 сек: #
[[7136, 364.53, 0.4472, 0], [7137, 364.54, 0.4472, 0], [7209, 365.12, 0.12, 0], [7210, 365.44, 3.3298, 0], [7211, 365.54, 4.5902, 0], [7212, 365.54, 2.3, 0], [7213, 365.54, 3.3418, 0], [7214, 365.55, 2.4082, 0]]
# Новое значение через 1 сек: #
......
# Новое значение через 1 сек: #
......
#и т.д.

Как видим эти значения ( [7136, 364.53, 0.4472, 0], [7137, 364.54, 0.4472, 0] ) есть в первых данных, и они же есть в след приходных данных.

Суть в том что через api появляются новые данные, которые обновляют переменную a
скажем каждую секунду. По идее мне нужно каким-то образом сохранить прошлое значение a, чтоб его прогнать через эту сортировку. Но как??? :)

Comments

[Vindicar]

Как видим эти значения

Не видим. Вот в упор не видим.

[3Create]

Vindicar, Так вот же они ->

Answer 1

[dmshar]

Более запутано описать ваше пожелание наверное было-бы трудно.
Что означает "каким-то образом сохранить прошлое значение a, чтоб его прогнать через эту сортировку". Одно "прошлое"? Или каждое "прошлое"? Зачем его сохранять, если оно пришло, вы его "прогнали через сортировку" и пошли принимать следующее? У вас каждую секунду приходит один элемент массива a, или вот все четыре элемента и составляют единое "новое значение"? Вам надо сохранять значение a или результат сортировки?

В общем, если у вас поступают данные и вы их хотите сначала все накопить, а потом "прогнать через сортировку", то создавайте список, куда будете складывать свои поступающие значения, а потом, после накопления полного массива входных данных, циклом проходить по этому массиву и делать свою сортировку.
Если вы очень хотите обрабатывать данных по мере поступления, то - прочитали данные, отсортировали и в результирующий список поместили уже отсортированный результат в качестве.
Если же вы имели ввиду что-то другое, то сформулируйте свой вопрос более четко и однозначно.

Comments

[3Create]

так не получается через эту сортировку прогонять, потому что не с чем сравнивать.
В sorted(a, key=lambda x: x[0]) , ему нужно значение из прошлого, которое было до нового массива данных
вот пример что приходит:

[[7119, 364.42, 0.1615, 0], [7120, 364.42, 0.0969, 0], [7121, 364.66, 0.8113, 0], [7122, 364.67, 5.4208, 0], [7128, 364.64, 2.9978, 0], [7129, 364.64, 0.1081, 0], [7130, 364.53, 0.4472, 0], [7132, 364.53, 4.0, 0], [7133, 364.53, 1.5, 0], [7134, 364.53, 1.5, 0], [7135, 364.53, 0.4719, 0], <b>[7136, 364.53, 0.4472, 0], [7137, 364.54, 0.4472, 0]</b>]
# Новое значение через 1 сек: #
[[7136, 364.53, 0.4472, 0], [7137, 364.54, 0.4472, 0], [7209, 365.12, 0.12, 0], [7210, 365.44, 3.3298, 0], [7211, 365.54, 4.5902, 0], [7212, 365.54, 2.3, 0], [7213, 365.54, 3.3418, 0], [7214, 365.55, 2.4082, 0]]
# Новое значение через 1 сек: #
......
# Новое значение через 1 сек: #
......
#и т.д.

Как видим эти значения ( [7136, 364.53, 0.4472, 0], [7137, 364.54, 0.4472, 0] ) есть в первых данных, и они же есть в след приходных данных.

[MinTnt]

3Create, и что должно именно получится? Как выглядит код? Кстати, результат от a+b и b+a полностью разный выйдет.
При a+b значение второго списка заменяют идентичные первого. При b+a, сохраняется значение первого списка

[3Create]

MinTnt, отсекаются значения ( [7136, 364.53, 0.4472, 0], [7137, 364.54, 0.4472, 0] ), которые были в первом списке

[MinTnt]

3Create, а как выглядит этот сам код, в котором каждую секунду новые значения?

[3Create]

MinTnt, Не помещается сюда по кол-ву символов даже два полных цикла

[3Create]

MinTnt, первый цикл

C:\ProgramData\Anaconda3\envs\_0\python.exe "E:/lesson/test1.py"
[[0470, 1.6589, 6.02, 0], [0476, 1.6584, 350.0, 0], [0477, 1.6585, 1567.0, 0], [0480, 1.6584, 153.8, 0], [0481, 1.6584, 0.03, 0], [0482, 1.6587, 48.06, 0], [0483, 1.6586, 144.37, 0], [0484, 1.6589, 193.98, 0], [0485, 1.659, 360.41, 0], [0486, 1.6591, 314.22, 0], [0487, 1.659, 288.59, 0], [0488, 1.6591, 30.71, 0], [0493, 1.659, 117.4, 0], [0494, 1.659, 164.14, 0], [0495, 1.6591, 168.12, 0], [0496, 1.6591, 513.58, 0], [0497, 1.6591, 122.23, 0], [0498, 1.6591, 364.0, 0], [0510, 1.6577, 146.76, 0], [0511, 1.6581, 430.37, 0], [0512, 1.6581, 422.14, 0], [0519, 1.657, 9.38, 0], [0520, 1.657, 5.09, 0], [0521, 1.657, 9.41, 0], [0522, 1.657, 24.13, 0], [0525, 1.6565, 223.68, 0], [0526, 1.657, 450.04, 0], [0527, 1.657, 49.96, 0], [0528, 1.6575, 135.79, 0], [0529, 1.6575, 1057.1, 0], [0540, 1.6556, 350.0, 0], [0541, 1.6557, 349.59, 0], [0542, 1.6565, 238.93, 0], [0543, 1.6565, 48.46, 0], [0544, 1.6565, 57.37, 0], [0545, 1.6566, 2074.78, 0], [0546, 1.6565, 13.92, 0], [0549, 1.6565, 132.9, 0], [0550, 1.6565, 155.95, 0], [0551, 1.6565, 865.82, 0], [0552, 1.6565, 72.21, 0], [0553, 1.6565, 16.34, 0], [0554, 1.6565, 457.32, 0], [0555, 1.6565, 164.28, 0], [0556, 1.6565, 7.24, 0], [0562, 1.6557, 192.23, 0], [0563, 1.6557, 743.36, 0], [0564, 1.6561, 64.41, 0], [0575, 1.6552, 30.2, 0], [0576, 1.6551, 175.06, 0], [0577, 1.6552, 256.6, 0], [0578, 1.6552, 213.2, 0], [0580, 1.6557, 350.25, 0], [0581, 1.6562, 99.77, 0], [0582, 1.6556, 22.42, 0], [0583, 1.6556, 11.68, 0], [0586, 1.6553, 35.59, 0], [0587, 1.6553, 12.44, 0], [0588, 1.6552, 157.56, 0], [0589, 1.6553, 28.62, 0], [0590, 1.6553, 101.8, 0], [0595, 1.6548, 172.29, 0], [0596, 1.6548, 366.95, 0], [0598, 1.655, 223.77, 0], [0599, 1.655, 157.75, 0], [0600, 1.6551, 68.54, 0], [0601, 1.6549, 86.6, 0], [0602, 1.6549, 44.0, 0], [0603, 1.655, 72.01, 0], [0623, 1.6545, 19.95, 0], [0624, 1.6542, 147.66, 0], [0625, 1.6542, 20.18, 0], [0626, 1.6541, 135.94, 0], [0627, 1.6542, 30.73, 0], [0629, 1.654, 37.0, 0], [0630, 1.654, 36.33, 0], [0631, 1.654, 50.98, 0], [0632, 1.6543, 166.67, 0], [0633, 1.6544, 782.35, 0], [0634, 1.6543, 14.5, 0], [0636, 1.6536, 70.99, 0], [0637, 1.6536, 501.63, 0], [0638, 1.6534, 460.58, 0], [0639, 1.654, 44.11, 0], [0640, 1.6539, 35.55, 0], [0641, 1.6539, 27.88, 0], [0647, 1.6535, 20.0, 0], [0648, 1.6535, 91.88, 0], [0649, 1.6536, 145.15, 0], [0650, 1.6535, 109.19, 0], [0652, 1.6535, 21.29, 0], [0653, 1.6535, 235.14, 0], [0654, 1.6535, 99.0, 0], [0655, 1.6535, 61.37, 0], [0656, 1.6537, 104.41, 0], [0659, 1.6534, 139.0, 0], [0660, 1.6534, 222.0, 0], [0661, 1.6534, 139.0, 0], [0670, 1.6535, 12.61, 0], [0671, 1.6538, 160.97, 0], [0672, 1.654, 136.08, 0], [0673, 1.6543, 57.6, 0], [0674, 1.6551, 620.19, 0], [0675, 1.655, 100.0, 0], [0678, 1.6549, 280.07, 0], [0681, 1.6532, 59.66, 0], [0682, 1.6545, 35.64, 0], [0684, 1.6539, 7.24, 0], [0685, 1.6539, 1666.61, 0], [0686, 1.6544, 111.28, 0], [0687, 1.6544, 527.04, 0], [0688, 1.6545, 326.11, 0], [0689, 1.6546, 463.9, 0], [0690, 1.6547, 300.0, 0], [0691, 1.6547, 1700.0, 0], [0692, 1.6547, 200.0, 0], [0693, 1.6547, 774.29, 0], [0694, 1.6547, 100.0, 0], [0695, 1.6547, 400.0, 0], [0696, 1.6547, 3159.71, 0], [0697, 1.6547, 6313.0, 0], [0698, 1.6549, 1410.97, 0], [0699, 1.6549, 1067.1, 0], [0700, 1.6549, 1641.78, 0], [0701, 1.655, 16802.47, 0], [0702, 1.655, 16802.47, 0], [0703, 1.655, 361.0, 0], [0704, 1.655, 16802.47, 0], [0705, 1.655, 1800.0, 0], [0706, 1.655, 18.09, 0], [0707, 1.655, 4580.74, 0], [0708, 1.655, 806.2, 0], [0709, 1.655, 500.0, 0], [0710, 1.655, 200.0, 0], [0711, 1.655, 100.0, 0], [0712, 1.655, 100.0, 0], [0713, 1.655, 200.0, 0], [0714, 1.655, 200.0, 0], [0715, 1.655, 300.0, 0], [0716, 1.655, 100.0, 0], [0717, 1.655, 600.0, 0], [0718, 1.655, 25780.85, 0], [0719, 1.6551, 1375.7, 0], [0720, 1.6554, 62.89, 0], [0721, 1.6554, 32.56, 0], [0722, 1.6555, 60.4, 0], [0723, 1.6556, 285.45, 0], [0724, 1.6556, 13.76, 0], [0739, 1.6539, 560.89, 0], [0740, 1.6558, 8.59, 0], [0741, 1.6562, 4649.11, 0], [0742, 1.6564, 299.21, 0], [0743, 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1.6565, 60.36, 0], [0817, 1.6565, 114.67, 0], [0818, 1.6567, 12.05, 0], [0819, 1.6568, 530.28, 0], [0820, 1.6568, 10.28, 0], [0821, 1.6569, 294.2, 0], [0822, 1.657, 145.44, 0], [0823, 1.6569, 10.28, 0], [0824, 1.6569, 10.28, 0], [0825, 1.6568, 138.57, 0], [0828, 1.6567, 57.68, 0], [0838, 1.6562, 100.0, 0], [0845, 1.6552, 72.58, 0], [0847, 1.6548, 75.03, 0], [0848, 1.6549, 24.82, 0], [0852, 1.6545, 1000.0, 0], [0853, 1.6548, 301.01, 0], [0854, 1.6549, 542.25, 0], [0855, 1.6545, 1000.0, 0], [0856, 1.6545, 1000.0, 0], [0857, 1.6545, 1000.0, 0], [0858, 1.6545, 1000.0, 0], [0859, 1.6545, 1000.0, 0], [0860, 1.6545, 1000.0, 0], [0861, 1.6545, 1000.0, 0], [0862, 1.6545, 1000.0, 0], [0863, 1.6544, 175.2, 0], [0864, 1.6544, 63.26, 0], [0865, 1.6545, 115.69, 0], [0867, 1.6545, 450.19, 0], [0870, 1.6545, 10.52, 0], [0871, 1.6545, 0.19, 0], [0877, 1.6553, 18.11, 0], [0879, 1.655, 17.92, 0], [0880, 1.6552, 53.48, 0], [0881, 1.6551, 76.26, 0], [0882, 1.6552, 38.0, 0], [0883, 1.6552, 30.0, 0], [0884, 1.6552, 67.99, 0], [0885, 1.6553, 131.89, 0], [0886, 1.6558, 194.21, 0], [0887, 1.6559, 56.15, 0], [0893, 1.6559, 12.45, 0], [0894, 1.6558, 25.48, 0], [0895, 1.6558, 7.2, 0], [0896, 1.6558, 103.2, 0], [0898, 1.6568, 12.39, 0], [0899, 1.6566, 121.15, 0], [0900, 1.6567, 279.0, 0], [0901, 1.6567, 0.57, 0], [0902, 1.6569, 584.28, 0], [0903, 1.6569, 46.83, 0], [0904, 1.6569, 251.78, 0], [0905, 1.6569, 449.83, 0], [0906, 1.6569, 1067.28, 0], [0907, 1.6572, 488.61, 0], [0918, 1.6571, 24.95, 0], [0920, 1.6571, 156.11, 0], [0923, 1.657, 7.9, 0], [0924, 1.657, 315.87, 0], [0925, 1.657, 135.83, 0], [0926, 1.6571, 300.0, 0], [0927, 1.6571, 300.0, 0], [0928, 1.6575, 114.54, 0], [0929, 1.6575, 26.4, 0], [0930, 1.6576, 1748.11, 0], [0931, 1.6576, 61.74, 0], [0937, 1.6579, 135.74, 0], [0938, 1.658, 299.21, 0], [0939, 1.658, 124.11, 0], [0940, 1.658, 129.81, 0], [0941, 1.658, 921.0, 0], [0942, 1.658, 726.68, 0], [0943, 1.6581, 1986.86, 0], [0949, 1.6573, 9942.99, 0], [0953, 1.6579, 174.85, 0], [0954, 1.6581, 74.84, 0], [0955, 1.6581, 100.0, 0], [0956, 1.6581, 100.2, 0], [0957, 1.6583, 135.0, 0], [0961, 1.6578, 75.02, 0], [0963, 1.6575, 10.96, 0], [0964, 1.6573, 332.25, 0], [0965, 1.6573, 356.63, 0], [0966, 1.6573, 920.99, 0], [0967, 1.6573, 750.13, 0], [0968, 1.6573, 0.46, 0], [0969, 1.6573, 920.54, 0]]

[3Create]

MinTnt, второй

[[0498, 1.6591, 364.0, 0], [0510, 1.6577, 146.76, 0], [0511, 1.6581, 430.37, 0], [0512, 1.6581, 422.14, 0], [0519, 1.657, 9.38, 0], [0520, 1.657, 5.09, 0], [0521, 1.657, 9.41, 0], [0522, 1.657, 24.13, 0], [0525, 1.6565, 223.68, 0], [0526, 1.657, 450.04, 0], [0527, 1.657, 49.96, 0], [0528, 1.6575, 135.79, 0], [0529, 1.6575, 1057.1, 0], [0540, 1.6556, 350.0, 0], [0541, 1.6557, 349.59, 0], [0542, 1.6565, 238.93, 0], [0543, 1.6565, 48.46, 0], [0544, 1.6565, 57.37, 0], [0545, 1.6566, 2074.78, 0], [0546, 1.6565, 13.92, 0], [0549, 1.6565, 132.9, 0], [0550, 1.6565, 155.95, 0], [0551, 1.6565, 865.82, 0], [0552, 1.6565, 72.21, 0], [0553, 1.6565, 16.34, 0], [0554, 1.6565, 457.32, 0], [0555, 1.6565, 164.28, 0], [0556, 1.6565, 7.24, 0], [0562, 1.6557, 192.23, 0], [0563, 1.6557, 743.36, 0], [0564, 1.6561, 64.41, 0], [0575, 1.6552, 30.2, 0], [0576, 1.6551, 175.06, 0], [0577, 1.6552, 256.6, 0], [0578, 1.6552, 213.2, 0], [0580, 1.6557, 350.25, 0], [0581, 1.6562, 99.77, 0], [0582, 1.6556, 22.42, 0], [0583, 1.6556, 11.68, 0], [0586, 1.6553, 35.59, 0], [0587, 1.6553, 12.44, 0], [0588, 1.6552, 157.56, 0], [0589, 1.6553, 28.62, 0], [0590, 1.6553, 101.8, 0], [0595, 1.6548, 172.29, 0], [0596, 1.6548, 366.95, 0], [0598, 1.655, 223.77, 0], [0599, 1.655, 157.75, 0], [0600, 1.6551, 68.54, 0], [0601, 1.6549, 86.6, 0], [0602, 1.6549, 44.0, 0], [0603, 1.655, 72.01, 0], [0623, 1.6545, 19.95, 0], [0624, 1.6542, 147.66, 0], [0625, 1.6542, 20.18, 0], [0626, 1.6541, 135.94, 0], [0627, 1.6542, 30.73, 0], [0629, 1.654, 37.0, 0], [0630, 1.654, 36.33, 0], [0631, 1.654, 50.98, 0], [0632, 1.6543, 166.67, 0], [0633, 1.6544, 782.35, 0], [0634, 1.6543, 14.5, 0], [0636, 1.6536, 70.99, 0], [0637, 1.6536, 501.63, 0], [0638, 1.6534, 460.58, 0], [0639, 1.654, 44.11, 0], [0640, 1.6539, 35.55, 0], [0641, 1.6539, 27.88, 0], [0647, 1.6535, 20.0, 0], [0648, 1.6535, 91.88, 0], [0649, 1.6536, 145.15, 0], [0650, 1.6535, 109.19, 0], [0652, 1.6535, 21.29, 0], [0653, 1.6535, 235.14, 0], [0654, 1.6535, 99.0, 0], [0655, 1.6535, 61.37, 0], [0656, 1.6537, 104.41, 0], [0659, 1.6534, 139.0, 0], [0660, 1.6534, 222.0, 0], [0661, 1.6534, 139.0, 0], [0670, 1.6535, 12.61, 0], [0671, 1.6538, 160.97, 0], [0672, 1.654, 136.08, 0], [0673, 1.6543, 57.6, 0], [0674, 1.6551, 620.19, 0], [0675, 1.655, 100.0, 0], [0678, 1.6549, 280.07, 0], [0681, 1.6532, 59.66, 0], [0682, 1.6545, 35.64, 0], [0684, 1.6539, 7.24, 0], [0685, 1.6539, 1666.61, 0], [0686, 1.6544, 111.28, 0], [0687, 1.6544, 527.04, 0], [0688, 1.6545, 326.11, 0], [0689, 1.6546, 463.9, 0], [0690, 1.6547, 300.0, 0], [0691, 1.6547, 1700.0, 0], [0692, 1.6547, 200.0, 0], [0693, 1.6547, 774.29, 0], [0694, 1.6547, 100.0, 0], [0695, 1.6547, 400.0, 0], [0696, 1.6547, 3159.71, 0], [0697, 1.6547, 6313.0, 0], [0698, 1.6549, 1410.97, 0], [0699, 1.6549, 1067.1, 0], [0700, 1.6549, 1641.78, 0], [0701, 1.655, 16802.47, 0], [0702, 1.655, 16802.47, 0], [0703, 1.655, 361.0, 0], [0704, 1.655, 16802.47, 0], [0705, 1.655, 1800.0, 0], [0706, 1.655, 18.09, 0], [0707, 1.655, 4580.74, 0], [0708, 1.655, 806.2, 0], [0709, 1.655, 500.0, 0], [0710, 1.655, 200.0, 0], [0711, 1.655, 100.0, 0], [0712, 1.655, 100.0, 0], [0713, 1.655, 200.0, 0], [0714, 1.655, 200.0, 0], [0715, 1.655, 300.0, 0], [0716, 1.655, 100.0, 0], [0717, 1.655, 600.0, 0], [0718, 1.655, 25780.85, 0], [0719, 1.6551, 1375.7, 0], [0720, 1.6554, 62.89, 0], [0721, 1.6554, 32.56, 0], [0722, 1.6555, 60.4, 0], [0723, 1.6556, 285.45, 0], [0724, 1.6556, 13.76, 0], [0739, 1.6539, 560.89, 0], [0740, 1.6558, 8.59, 0], [0741, 1.6562, 4649.11, 0], [0742, 1.6564, 299.21, 0], [0743, 1.6566, 513.09, 0], [0744, 1.6566, 108.9, 0], [0745, 1.6567, 21.1, 0], [0749, 1.6557, 26.29, 0], [0750, 1.656, 17.03, 0], [0751, 1.656, 380.68, 0], [0752, 1.6556, 17.03, 0], [0753, 1.6556, 0.01, 0], [0754, 1.6559, 218.34, 0], [0755, 1.656, 360.56, 0], [0756, 1.656, 136.75, 0], [0757, 1.656, 103.41, 0], [0758, 1.6563, 32.59, 0], [0759, 1.6564, 417.29, 0], [0760, 1.6564, 764.34, 0], [0763, 1.6567, 141.86, 0], [0764, 1.6568, 30.17, 0], [0765, 1.6569, 350.62, 0], [0766, 1.657, 27.24, 0], [0767, 1.657, 294.04, 0], [0768, 1.657, 6.45, 0], [0769, 1.657, 1889.6, 0], [0770, 1.657, 6831.55, 0], [0776, 1.6572, 299.21, 0], [0777, 1.6574, 672.63, 0], [0778, 1.6579, 1600.0, 0], [0779, 1.658, 299.21, 0], [0780, 1.658, 126.26, 0], [0781, 1.658, 661.44, 0], [0799, 1.6565, 46.89, 0], [0801, 1.6565, 174.92, 0], [0802, 1.6565, 266.81, 0], [0803, 1.657, 212.16, 0], [0808, 1.6564, 479.59, 0], [0809, 1.6565, 137.8, 0], [0811, 1.6565, 212.09, 0], [0814, 1.6565, 175.01, 0], [0815, 1.6566, 135.79, 0], [0816, 1.6565, 60.36, 0], [0817, 1.6565, 114.67, 0], [0818, 1.6567, 12.05, 0], [0819, 1.6568, 530.28, 0], [0820, 1.6568, 10.28, 0], [0821, 1.6569, 294.2, 0], [0822, 1.657, 145.44, 0], [0823, 1.6569, 10.28, 0], [0824, 1.6569, 10.28, 0], [0825, 1.6568, 138.57, 0], [0828, 1.6567, 57.68, 0], [0838, 1.6562, 100.0, 0], [0845, 1.6552, 72.58, 0], [0847, 1.6548, 75.03, 0], [0848, 1.6549, 24.82, 0], [0852, 1.6545, 1000.0, 0], [0853, 1.6548, 301.01, 0], [0854, 1.6549, 542.25, 0], [0855, 1.6545, 1000.0, 0], [0856, 1.6545, 1000.0, 0], [0857, 1.6545, 1000.0, 0], [0858, 1.6545, 1000.0, 0], [0859, 1.6545, 1000.0, 0], [0860, 1.6545, 1000.0, 0], [0861, 1.6545, 1000.0, 0], [0862, 1.6545, 1000.0, 0], [0863, 1.6544, 175.2, 0], [0864, 1.6544, 63.26, 0], [0865, 1.6545, 115.69, 0], [0867, 1.6545, 450.19, 0], [0870, 1.6545, 10.52, 0], [0871, 1.6545, 0.19, 0], [0877, 1.6553, 18.11, 0], [0879, 1.655, 17.92, 0], [0880, 1.6552, 53.48, 0], [0881, 1.6551, 76.26, 0], [0882, 1.6552, 38.0, 0], [0883, 1.6552, 30.0, 0], [0884, 1.6552, 67.99, 0], [0885, 1.6553, 131.89, 0], [0886, 1.6558, 194.21, 0], [0887, 1.6559, 56.15, 0], [0893, 1.6559, 12.45, 0], [0894, 1.6558, 25.48, 0], [0895, 1.6558, 7.2, 0], [0896, 1.6558, 103.2, 0], [0898, 1.6568, 12.39, 0], [0899, 1.6566, 121.15, 0], [0900, 1.6567, 279.0, 0], [0901, 1.6567, 0.57, 0], [0902, 1.6569, 584.28, 0], [0903, 1.6569, 46.83, 0], [0904, 1.6569, 251.78, 0], [0905, 1.6569, 449.83, 0], [0906, 1.6569, 1067.28, 0], [0907, 1.6572, 488.61, 0], [0918, 1.6571, 24.95, 0], [0920, 1.6571, 156.11, 0], [0923, 1.657, 7.9, 0], [0924, 1.657, 315.87, 0], [0925, 1.657, 135.83, 0], [0926, 1.6571, 300.0, 0], [0927, 1.6571, 300.0, 0], [0928, 1.6575, 114.54, 0], [0929, 1.6575, 26.4, 0], [0930, 1.6576, 1748.11, 0], [0931, 1.6576, 61.74, 0], [0937, 1.6579, 135.74, 0], [0938, 1.658, 299.21, 0], [0939, 1.658, 124.11, 0], [0940, 1.658, 129.81, 0], [0941, 1.658, 921.0, 0], [0942, 1.658, 726.68, 0], [0943, 1.6581, 1986.86, 0], [0949, 1.6573, 9942.99, 0], [0953, 1.6579, 174.85, 0], [0954, 1.6581, 74.84, 0], [0955, 1.6581, 100.0, 0], [0956, 1.6581, 100.2, 0], [0957, 1.6583, 135.0, 0], [0961, 1.6578, 75.02, 0], [0963, 1.6575, 10.96, 0], [0964, 1.6573, 332.25, 0], [0965, 1.6573, 356.63, 0], [0966, 1.6573, 920.99, 0], [0967, 1.6573, 750.13, 0], [0968, 1.6573, 0.46, 0], [0969, 1.6573, 920.54, 0], [0971, 1.6574, 247.0, 0], [0973, 1.6573, 193.38, 0], [0974, 1.6574, 0.43, 0], [0975, 1.6574, 256.19, 0], [0976, 1.6574, 193.0, 0], [0980, 1.6574, 0.81, 0], [0981, 1.6574, 495.19, 0], [0988, 1.6574, 112.0, 0], [0989, 1.6567, 81.0, 0], [0990, 1.6567, 93.87, 0], [0991, 1.6568, 319.58, 0], [0992, 1.6567, 104.0, 0], [0993, 1.6567, 70.9, 0], [0995, 1.6567, 70.43, 0], [0996, 1.6567, 104.0, 0]]

[3Create]

MinTnt, третий

[[0525, 1.6565, 223.68, 0], [0526, 1.657, 450.04, 0], [0527, 1.657, 49.96, 0], [0528, 1.6575, 135.79, 0], [0529, 1.6575, 1057.1, 0], [0540, 1.6556, 350.0, 0], [0541, 1.6557, 349.59, 0], [0542, 1.6565, 238.93, 0], [0543, 1.6565, 48.46, 0], [0544, 1.6565, 57.37, 0], [0545, 1.6566, 2074.78, 0], [0546, 1.6565, 13.92, 0], [0549, 1.6565, 132.9, 0], [0550, 1.6565, 155.95, 0], [0551, 1.6565, 865.82, 0], [0552, 1.6565, 72.21, 0], [0553, 1.6565, 16.34, 0], [0554, 1.6565, 457.32, 0], [0555, 1.6565, 164.28, 0], [0556, 1.6565, 7.24, 0], [0562, 1.6557, 192.23, 0], [0563, 1.6557, 743.36, 0], [0564, 1.6561, 64.41, 0], [0575, 1.6552, 30.2, 0], [0576, 1.6551, 175.06, 0], [0577, 1.6552, 256.6, 0], [0578, 1.6552, 213.2, 0], [0580, 1.6557, 350.25, 0], [0581, 1.6562, 99.77, 0], [0582, 1.6556, 22.42, 0], [0583, 1.6556, 11.68, 0], [0586, 1.6553, 35.59, 0], [0587, 1.6553, 12.44, 0], [0588, 1.6552, 157.56, 0], [0589, 1.6553, 28.62, 0], [0590, 1.6553, 101.8, 0], [0595, 1.6548, 172.29, 0], [0596, 1.6548, 366.95, 0], [0598, 1.655, 223.77, 0], [0599, 1.655, 157.75, 0], [0600, 1.6551, 68.54, 0], [0601, 1.6549, 86.6, 0], [0602, 1.6549, 44.0, 0], [0603, 1.655, 72.01, 0], [0623, 1.6545, 19.95, 0], [0624, 1.6542, 147.66, 0], [0625, 1.6542, 20.18, 0], [0626, 1.6541, 135.94, 0], [0627, 1.6542, 30.73, 0], [0629, 1.654, 37.0, 0], [0630, 1.654, 36.33, 0], [0631, 1.654, 50.98, 0], [0632, 1.6543, 166.67, 0], [0633, 1.6544, 782.35, 0], [0634, 1.6543, 14.5, 0], [0636, 1.6536, 70.99, 0], [0637, 1.6536, 501.63, 0], [0638, 1.6534, 460.58, 0], [0639, 1.654, 44.11, 0], [0640, 1.6539, 35.55, 0], [0641, 1.6539, 27.88, 0], [0647, 1.6535, 20.0, 0], [0648, 1.6535, 91.88, 0], [0649, 1.6536, 145.15, 0], [0650, 1.6535, 109.19, 0], [0652, 1.6535, 21.29, 0], [0653, 1.6535, 235.14, 0], [0654, 1.6535, 99.0, 0], [0655, 1.6535, 61.37, 0], [0656, 1.6537, 104.41, 0], [0659, 1.6534, 139.0, 0], [0660, 1.6534, 222.0, 0], [0661, 1.6534, 139.0, 0], [0670, 1.6535, 12.61, 0], [0671, 1.6538, 160.97, 0], [0672, 1.654, 136.08, 0], [0673, 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1.655, 100.0, 0], [0717, 1.655, 600.0, 0], [0718, 1.655, 25780.85, 0], [0719, 1.6551, 1375.7, 0], [0720, 1.6554, 62.89, 0], [0721, 1.6554, 32.56, 0], [0722, 1.6555, 60.4, 0], [0723, 1.6556, 285.45, 0], [0724, 1.6556, 13.76, 0], [0739, 1.6539, 560.89, 0], [0740, 1.6558, 8.59, 0], [0741, 1.6562, 4649.11, 0], [0742, 1.6564, 299.21, 0], [0743, 1.6566, 513.09, 0], [0744, 1.6566, 108.9, 0], [0745, 1.6567, 21.1, 0], [0749, 1.6557, 26.29, 0], [0750, 1.656, 17.03, 0], [0751, 1.656, 380.68, 0], [0752, 1.6556, 17.03, 0], [0753, 1.6556, 0.01, 0], [0754, 1.6559, 218.34, 0], [0755, 1.656, 360.56, 0], [0756, 1.656, 136.75, 0], [0757, 1.656, 103.41, 0], [0758, 1.6563, 32.59, 0], [0759, 1.6564, 417.29, 0], [0760, 1.6564, 764.34, 0], [0763, 1.6567, 141.86, 0], [0764, 1.6568, 30.17, 0], [0765, 1.6569, 350.62, 0], [0766, 1.657, 27.24, 0], [0767, 1.657, 294.04, 0], [0768, 1.657, 6.45, 0], [0769, 1.657, 1889.6, 0], [0770, 1.657, 6831.55, 0], [0776, 1.6572, 299.21, 0], [0777, 1.6574, 672.63, 0], [0778, 1.6579, 1600.0, 0], [0779, 1.658, 299.21, 0], [0780, 1.658, 126.26, 0], [0781, 1.658, 661.44, 0], [0799, 1.6565, 46.89, 0], [0801, 1.6565, 174.92, 0], [0802, 1.6565, 266.81, 0], [0803, 1.657, 212.16, 0], [0808, 1.6564, 479.59, 0], [0809, 1.6565, 137.8, 0], [0811, 1.6565, 212.09, 0], [0814, 1.6565, 175.01, 0], [0815, 1.6566, 135.79, 0], [0816, 1.6565, 60.36, 0], [0817, 1.6565, 114.67, 0], [0818, 1.6567, 12.05, 0], [0819, 1.6568, 530.28, 0], [0820, 1.6568, 10.28, 0], [0821, 1.6569, 294.2, 0], [0822, 1.657, 145.44, 0], [0823, 1.6569, 10.28, 0], [0824, 1.6569, 10.28, 0], [0825, 1.6568, 138.57, 0], [0828, 1.6567, 57.68, 0], [0838, 1.6562, 100.0, 0], [0845, 1.6552, 72.58, 0], [0847, 1.6548, 75.03, 0], [0848, 1.6549, 24.82, 0], [0852, 1.6545, 1000.0, 0], [0853, 1.6548, 301.01, 0], [0854, 1.6549, 542.25, 0], [0855, 1.6545, 1000.0, 0], [0856, 1.6545, 1000.0, 0], [0857, 1.6545, 1000.0, 0], [0858, 1.6545, 1000.0, 0], [0859, 1.6545, 1000.0, 0], [0860, 1.6545, 1000.0, 0], [0861, 1.6545, 1000.0, 0], 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1.6575, 114.54, 0], [0929, 1.6575, 26.4, 0], [0930, 1.6576, 1748.11, 0], [0931, 1.6576, 61.74, 0], [0937, 1.6579, 135.74, 0], [0938, 1.658, 299.21, 0], [0939, 1.658, 124.11, 0], [0940, 1.658, 129.81, 0], [0941, 1.658, 921.0, 0], [0942, 1.658, 726.68, 0], [0943, 1.6581, 1986.86, 0], [0949, 1.6573, 9942.99, 0], [0953, 1.6579, 174.85, 0], [0954, 1.6581, 74.84, 0], [0955, 1.6581, 100.0, 0], [0956, 1.6581, 100.2, 0], [0957, 1.6583, 135.0, 0], [0961, 1.6578, 75.02, 0], [0963, 1.6575, 10.96, 0], [0964, 1.6573, 332.25, 0], [0965, 1.6573, 356.63, 0], [0966, 1.6573, 920.99, 0], [0967, 1.6573, 750.13, 0], [0968, 1.6573, 0.46, 0], [0969, 1.6573, 920.54, 0], [0971, 1.6574, 247.0, 0], [0973, 1.6573, 193.38, 0], [0974, 1.6574, 0.43, 0], [0975, 1.6574, 256.19, 0], [0976, 1.6574, 193.0, 0], [0980, 1.6574, 0.81, 0], [0981, 1.6574, 495.19, 0], [0988, 1.6574, 112.0, 0], [0989, 1.6567, 81.0, 0], [0990, 1.6567, 93.87, 0], [0991, 1.6568, 319.58, 0], [0992, 1.6567, 104.0, 0], [0993, 1.6567, 70.9, 0], [0995, 1.6567, 70.43, 0], [0996, 1.6567, 104.0, 0], [0998, 1.6572, 18.11, 0], [0999, 1.6572, 156.86, 0], [1000, 1.6572, 37.19, 0], [1001, 1.6575, 255.72, 0], [1002, 1.6572, 11.53, 0], [1006, 1.6567, 57.98, 0], [1009, 1.6567, 105.48, 0], [1010, 1.6568, 255.13, 0], [1012, 1.6567, 15.27, 0], [1013, 1.6567, 77.12, 0], [1014, 1.6566, 47.0, 0], [1015, 1.6566, 32.0, 0], [1016, 1.6566, 94.24, 0], [1017, 1.6568, 31.0, 0], [1018, 1.6568, 12.29, 0], [1019, 1.6569, 31.44, 0], [1020, 1.6572, 1700.0, 0], [1023, 1.6572, 400.0, 0]]

[3Create]

MinTnt, четвертый

[[0562, 1.6557, 192.23, 0], [0563, 1.6557, 743.36, 0], [0564, 1.6561, 64.41, 0], [0575, 1.6552, 30.2, 0], [0576, 1.6551, 175.06, 0], [0577, 1.6552, 256.6, 0], [0578, 1.6552, 213.2, 0], [0580, 1.6557, 350.25, 0], [0581, 1.6562, 99.77, 0], [0582, 1.6556, 22.42, 0], [0583, 1.6556, 11.68, 0], [0586, 1.6553, 35.59, 0], [0587, 1.6553, 12.44, 0], [0588, 1.6552, 157.56, 0], [0589, 1.6553, 28.62, 0], [0590, 1.6553, 101.8, 0], [0595, 1.6548, 172.29, 0], [0596, 1.6548, 366.95, 0], [0598, 1.655, 223.77, 0], [0599, 1.655, 157.75, 0], [0600, 1.6551, 68.54, 0], [0601, 1.6549, 86.6, 0], [0602, 1.6549, 44.0, 0], [0603, 1.655, 72.01, 0], [0623, 1.6545, 19.95, 0], [0624, 1.6542, 147.66, 0], [0625, 1.6542, 20.18, 0], [0626, 1.6541, 135.94, 0], [0627, 1.6542, 30.73, 0], [0629, 1.654, 37.0, 0], [0630, 1.654, 36.33, 0], [0631, 1.654, 50.98, 0], [0632, 1.6543, 166.67, 0], [0633, 1.6544, 782.35, 0], [0634, 1.6543, 14.5, 0], [0636, 1.6536, 70.99, 0], [0637, 1.6536, 501.63, 0], [0638, 1.6534, 460.58, 0], [0639, 1.654, 44.11, 0], [0640, 1.6539, 35.55, 0], [0641, 1.6539, 27.88, 0], [0647, 1.6535, 20.0, 0], [0648, 1.6535, 91.88, 0], [0649, 1.6536, 145.15, 0], [0650, 1.6535, 109.19, 0], [0652, 1.6535, 21.29, 0], [0653, 1.6535, 235.14, 0], [0654, 1.6535, 99.0, 0], [0655, 1.6535, 61.37, 0], [0656, 1.6537, 104.41, 0], [0659, 1.6534, 139.0, 0], [0660, 1.6534, 222.0, 0], [0661, 1.6534, 139.0, 0], [0670, 1.6535, 12.61, 0], [0671, 1.6538, 160.97, 0], [0672, 1.654, 136.08, 0], [0673, 1.6543, 57.6, 0], [0674, 1.6551, 620.19, 0], [0675, 1.655, 100.0, 0], [0678, 1.6549, 280.07, 0], [0681, 1.6532, 59.66, 0], [0682, 1.6545, 35.64, 0], [0684, 1.6539, 7.24, 0], [0685, 1.6539, 1666.61, 0], [0686, 1.6544, 111.28, 0], [0687, 1.6544, 527.04, 0], [0688, 1.6545, 326.11, 0], [0689, 1.6546, 463.9, 0], [0690, 1.6547, 300.0, 0], [0691, 1.6547, 1700.0, 0], [0692, 1.6547, 200.0, 0], [0693, 1.6547, 774.29, 0], [0694, 1.6547, 100.0, 0], [0695, 1.6547, 400.0, 0], [0696, 1.6547, 3159.71, 0], [0697, 1.6547, 6313.0, 0], [0698, 1.6549, 1410.97, 0], [0699, 1.6549, 1067.1, 0], [0700, 1.6549, 1641.78, 0], [0701, 1.655, 16802.47, 0], [0702, 1.655, 16802.47, 0], [0703, 1.655, 361.0, 0], [0704, 1.655, 16802.47, 0], [0705, 1.655, 1800.0, 0], [0706, 1.655, 18.09, 0], [0707, 1.655, 4580.74, 0], [0708, 1.655, 806.2, 0], [0709, 1.655, 500.0, 0], [0710, 1.655, 200.0, 0], [0711, 1.655, 100.0, 0], [0712, 1.655, 100.0, 0], [0713, 1.655, 200.0, 0], [0714, 1.655, 200.0, 0], [0715, 1.655, 300.0, 0], [0716, 1.655, 100.0, 0], [0717, 1.655, 600.0, 0], [0718, 1.655, 25780.85, 0], [0719, 1.6551, 1375.7, 0], [0720, 1.6554, 62.89, 0], [0721, 1.6554, 32.56, 0], [0722, 1.6555, 60.4, 0], [0723, 1.6556, 285.45, 0], [0724, 1.6556, 13.76, 0], [0739, 1.6539, 560.89, 0], [0740, 1.6558, 8.59, 0], [0741, 1.6562, 4649.11, 0], [0742, 1.6564, 299.21, 0], [0743, 1.6566, 513.09, 0], [0744, 1.6566, 108.9, 0], [0745, 1.6567, 21.1, 0], [0749, 1.6557, 26.29, 0], [0750, 1.656, 17.03, 0], [0751, 1.656, 380.68, 0], [0752, 1.6556, 17.03, 0], [0753, 1.6556, 0.01, 0], [0754, 1.6559, 218.34, 0], [0755, 1.656, 360.56, 0], [0756, 1.656, 136.75, 0], [0757, 1.656, 103.41, 0], [0758, 1.6563, 32.59, 0], [0759, 1.6564, 417.29, 0], [0760, 1.6564, 764.34, 0], [0763, 1.6567, 141.86, 0], [0764, 1.6568, 30.17, 0], [0765, 1.6569, 350.62, 0], [0766, 1.657, 27.24, 0], [0767, 1.657, 294.04, 0], [0768, 1.657, 6.45, 0], [0769, 1.657, 1889.6, 0], [0770, 1.657, 6831.55, 0], [0776, 1.6572, 299.21, 0], [0777, 1.6574, 672.63, 0], [0778, 1.6579, 1600.0, 0], [0779, 1.658, 299.21, 0], [0780, 1.658, 126.26, 0], [0781, 1.658, 661.44, 0], [0799, 1.6565, 46.89, 0], [0801, 1.6565, 174.92, 0], [0802, 1.6565, 266.81, 0], [0803, 1.657, 212.16, 0], [0808, 1.6564, 479.59, 0], [0809, 1.6565, 137.8, 0], [0811, 1.6565, 212.09, 0], [0814, 1.6565, 175.01, 0], [0815, 1.6566, 135.79, 0], [0816, 1.6565, 60.36, 0], [0817, 1.6565, 114.67, 0], [0818, 1.6567, 12.05, 0], [0819, 1.6568, 530.28, 0], [0820, 1.6568, 10.28, 0], [0821, 1.6569, 294.2, 0], [0822, 1.657, 145.44, 0], [0823, 1.6569, 10.28, 0], [0824, 1.6569, 10.28, 0], [0825, 1.6568, 138.57, 0], [0828, 1.6567, 57.68, 0], [0838, 1.6562, 100.0, 0], [0845, 1.6552, 72.58, 0], [0847, 1.6548, 75.03, 0], [0848, 1.6549, 24.82, 0], [0852, 1.6545, 1000.0, 0], [0853, 1.6548, 301.01, 0], [0854, 1.6549, 542.25, 0], [0855, 1.6545, 1000.0, 0], [0856, 1.6545, 1000.0, 0], [0857, 1.6545, 1000.0, 0], [0858, 1.6545, 1000.0, 0], [0859, 1.6545, 1000.0, 0], [0860, 1.6545, 1000.0, 0], [0861, 1.6545, 1000.0, 0], [0862, 1.6545, 1000.0, 0], [0863, 1.6544, 175.2, 0], [0864, 1.6544, 63.26, 0], [0865, 1.6545, 115.69, 0], [0867, 1.6545, 450.19, 0], [0870, 1.6545, 10.52, 0], [0871, 1.6545, 0.19, 0], [0877, 1.6553, 18.11, 0], [0879, 1.655, 17.92, 0], [0880, 1.6552, 53.48, 0], [0881, 1.6551, 76.26, 0], [0882, 1.6552, 38.0, 0], [0883, 1.6552, 30.0, 0], [0884, 1.6552, 67.99, 0], [0885, 1.6553, 131.89, 0], [0886, 1.6558, 194.21, 0], [0887, 1.6559, 56.15, 0], [0893, 1.6559, 12.45, 0], [0894, 1.6558, 25.48, 0], [0895, 1.6558, 7.2, 0], [0896, 1.6558, 103.2, 0], [0898, 1.6568, 12.39, 0], [0899, 1.6566, 121.15, 0], [0900, 1.6567, 279.0, 0], [0901, 1.6567, 0.57, 0], [0902, 1.6569, 584.28, 0], [0903, 1.6569, 46.83, 0], [0904, 1.6569, 251.78, 0], [0905, 1.6569, 449.83, 0], [0906, 1.6569, 1067.28, 0], [0907, 1.6572, 488.61, 0], [0918, 1.6571, 24.95, 0], [0920, 1.6571, 156.11, 0], [0923, 1.657, 7.9, 0], [0924, 1.657, 315.87, 0], [0925, 1.657, 135.83, 0], [0926, 1.6571, 300.0, 0], [0927, 1.6571, 300.0, 0], [0928, 1.6575, 114.54, 0], [0929, 1.6575, 26.4, 0], [0930, 1.6576, 1748.11, 0], [0931, 1.6576, 61.74, 0], [0937, 1.6579, 135.74, 0], [0938, 1.658, 299.21, 0], [0939, 1.658, 124.11, 0], [0940, 1.658, 129.81, 0], [0941, 1.658, 921.0, 0], [0942, 1.658, 726.68, 0], [0943, 1.6581, 1986.86, 0], [0949, 1.6573, 9942.99, 0], [0953, 1.6579, 174.85, 0], [0954, 1.6581, 74.84, 0], [0955, 1.6581, 100.0, 0], [0956, 1.6581, 100.2, 0], [0957, 1.6583, 135.0, 0], [0961, 1.6578, 75.02, 0], [0963, 1.6575, 10.96, 0], [0964, 1.6573, 332.25, 0], [0965, 1.6573, 356.63, 0], [0966, 1.6573, 920.99, 0], [0967, 1.6573, 750.13, 0], [0968, 1.6573, 0.46, 0], [0969, 1.6573, 920.54, 0], [0971, 1.6574, 247.0, 0], [0973, 1.6573, 193.38, 0], [0974, 1.6574, 0.43, 0], [0975, 1.6574, 256.19, 0], [0976, 1.6574, 193.0, 0], [0980, 1.6574, 0.81, 0], [0981, 1.6574, 495.19, 0], [0988, 1.6574, 112.0, 0], [0989, 1.6567, 81.0, 0], [0990, 1.6567, 93.87, 0], [0991, 1.6568, 319.58, 0], [0992, 1.6567, 104.0, 0], [0993, 1.6567, 70.9, 0], [0995, 1.6567, 70.43, 0], [0996, 1.6567, 104.0, 0], [0998, 1.6572, 18.11, 0], [0999, 1.6572, 156.86, 0], [1000, 1.6572, 37.19, 0], [1001, 1.6575, 255.72, 0], [1002, 1.6572, 11.53, 0], [1006, 1.6567, 57.98, 0], [1009, 1.6567, 105.48, 0], [1010, 1.6568, 255.13, 0], [1012, 1.6567, 15.27, 0], [1013, 1.6567, 77.12, 0], [1014, 1.6566, 47.0, 0], [1015, 1.6566, 32.0, 0], [1016, 1.6566, 94.24, 0], [1017, 1.6568, 31.0, 0], [1018, 1.6568, 12.29, 0], [1019, 1.6569, 31.44, 0], [1020, 1.6572, 1700.0, 0], [1023, 1.6572, 400.0, 0], [1024, 1.6572, 23.0, 0], [1027, 1.6572, 60.34, 0], [1028, 1.6572, 2310.59, 0], [1029, 1.6572, 60.35, 0], [1031, 1.6572, 31.45, 0], [1035, 1.6572, 135.77, 0], [1036, 1.6572, 174.23, 0], [1038, 1.6572, 0.71, 0], [1039, 1.6577, 40.08, 0], [1040, 1.6577, 749.89, 0], [1041, 1.6577, 522.84, 0], [1042, 1.6578, 1225.27, 0], [1043, 1.6578, 107.79, 0], [1044, 1.6579, 10.19, 0], [1045, 1.6579, 2075.71, 0], [1046, 1.6581, 141.8, 0], [1047, 1.6581, 52.46, 0], [1048, 1.6586, 187.61, 0], [1049, 1.6588, 1600.0, 0], [1050, 1.6588, 53.93, 0]]

И так далее...

[MinTnt]

3Create, почему вы называете это именно "цикл". Всё что я вижу лишь списки

[o5a]

3Create, а чем не устраивает решение, которое еще в предыдущем Вашем вопросе предлагал, сохранять последний идентификатор, и фильтровать пришедшие новые данные по нему?

[3Create]

MinTnt, в каждом цикле выдается новый список. Может есть вариант как сохранить предыдущий список от последнего, чтоб провести сортировку?

[3Create]

o5a, он не хочет фильтровать с вашим вариантом (((

load_data=[bbb]
            last_id = 0
            for data in load_data:
                current_data = []
                for row in data:
                    if row[0] > last_id:
                        current_data.append(row)
                    last_id = row[0]
                print(current_data)

[3Create]

o5a, первый цикл со списками:

[[0248, 360.68, 3.0, 0], [0249, 360.71, 1.0064, 0], [0250, 360.7, 0.5755, 0], [0251, 360.7, 0.1632, 0], [0252, 360.7, 0.2572, 0], [0253, 360.69, 3.5, 0], [0254, 360.69, 2.5623, 0], [0255, 360.71, 3.9936, 0], [0256, 360.72, 5.1972, 0], [0257, 360.77, 1.9291, 0], [0258, 360.77, 19.7864, 0], [0259, 360.75, 0.4464, 0], [0260, 360.76, 5.1972, 0], [0261, 360.77, 2.7914, 0], [0263, 360.76, 0.0332, 0], [0264, 360.74, 0.0281, 0], [0265, 360.73, 0.482, 0], [0266, 360.65, 0.842, 0], [0267, 360.65, 0.2, 0], [0268, 360.65, 1.5062, 0], [0269, 360.64, 1.2559, 0], [0270, 360.64, 0.4426, 0], [0271, 360.64, 5.0, 0], [0272, 360.66, 0.9396, 0], [0273, 360.66, 0.9395, 0], [0274, 360.69, 1.3601, 0], [0275, 360.69, 0.8161, 0], [0276, 360.76, 2.3858, 0], [0277, 360.76, 5.287, 0], [0278, 360.79, 7.4232, 0], [0279, 360.79, 5.4168, 0], [0280, 360.83, 0.0661, 0], [0281, 360.83, 2.2956, 0], [0282, 360.83, 1.7492, 0], [0283, 360.84, 0.3503, 0], [0284, 360.87, 1.0435, 0], [0285, 360.87, 0.3457, 0], [0286, 360.88, 9.5, 0], [0287, 360.89, 0.0637, 0], [0288, 360.89, 2.8119, 0], [0289, 360.89, 3.5, 0], [0290, 360.89, 2.902, 0], [0291, 360.98, 5.7906, 0], [0296, 361.0, 9.4555, 0], [0297, 361.0, 1.6381, 0], [0298, 361.0, 0.4217, 0], [0299, 361.07, 0.2936, 0], [0300, 361.07, 14.4214, 0], [0302, 361.08, 10.3948, 0], [0303, 361.08, 1.736, 0], [0304, 361.09, 0.5538, 0], [0305, 361.12, 0.2629, 0], [0306, 361.13, 0.5107, 0], [0307, 361.14, 14.715, 0], [0308, 361.17, 1.0155, 0], [0309, 361.22, 8.3052, 0], [0310, 361.22, 1.085, 0], [0311, 361.24, 0.035, 0], [0312, 361.27, 1.0597, 0], [0313, 361.29, 7.3935, 0], [0314, 361.31, 1.1398, 0], [0315, 361.38, 0.06, 0], [0316, 361.38, 0.1608, 0], [0317, 361.46, 0.1733, 0], [0325, 361.15, 0.27, 0], [0326, 361.15, 0.18, 0], [0338, 360.97, 0.252, 0], [0340, 360.94, 0.573, 0], [0342, 360.89, 0.1676, 0], [0344, 360.87, 0.9273, 0], [0345, 360.9, 0.1383, 0], [0347, 360.84, 0.1219, 0], [0349, 360.83, 0.2389, 0], [0351, 360.8, 3.0, 0], [0352, 360.81, 7.0, 0], [0353, 360.82, 7.0, 0], [0354, 360.9, 3.1, 0], [0355, 360.92, 5.0981, 0], [0356, 360.94, 2.2661, 0], [0357, 361.06, 8.6719, 0], [0358, 361.12, 3.6, 0], [0359, 361.12, 3.5, 0], [0360, 361.13, 17.5509, 0], [0361, 361.14, 0.1385, 0], [0362, 361.22, 0.8263, 0], [0369, 361.0, 106.6305, 0], [0370, 361.22, 3.5, 0], [0371, 361.23, 1.9117, 0], [0373, 361.25, 3.5, 0], [0376, 361.25, 0.5, 0], [0379, 361.2, 1.9988, 0], [0380, 361.2, 1.5012, 0], [0381, 361.21, 5.5369, 0], [0382, 361.21, 9.1781, 0], [0383, 361.24, 15.933, 0], [0387, 361.23, 0.7919, 0], [0388, 361.25, 1.2231, 0], [0389, 361.25, 2.9716, 0], [0390, 361.23, 5.0, 0], [0391, 361.26, 0.5536, 0], [0392, 361.27, 0.4519, 0], [0393, 361.27, 0.5645, 0], [0395, 361.38, 0.1208, 0], [0396, 361.5, 0.4, 0], [0397, 361.5, 1.4969, 0], [0398, 361.5, 2.3483, 0], [0399, 361.5, 3.1, 0], [0405, 361.49, 0.525, 0], [0406, 361.49, 0.4549, 0], [0407, 361.44, 0.4328, 0], [0408, 361.4, 0.6849, 0], [0410, 361.44, 1.2498, 0], [0411, 361.51, 0.2889, 0], [0412, 361.51, 2.2557, 0], [0413, 361.51, 1.2192, 0], [0414, 361.51, 1.732, 0], [0416, 361.51, 0.0001, 0], [0417, 361.51, 2.3919, 0], [0418, 361.51, 2.3447, 0], [0419, 361.51, 0.0625, 0], [0420, 361.53, 0.4237, 0], [0421, 361.51, 0.0625, 0], [0422, 361.51, 1.5021, 0], [0423, 361.51, 0.0615, 0], [0424, 361.53, 0.5, 0], [0425, 361.53, 6.8795, 0], [0426, 361.53, 7.2486, 0], [0427, 361.53, 1.577, 0], [0428, 361.56, 0.8397, 0], [0429, 361.57, 0.1155, 0], [0432, 361.5, 0.4731, 0], [0433, 361.54, 1.841, 0], [0434, 361.6, 7.3825, 0], [0435, 361.6, 2.31, 0], [0437, 361.6, 0.0041, 0], [0438, 361.63, 0.2488, 0], [0439, 361.68, 0.0171, 0], [0440, 361.68, 1.0, 0], [0441, 361.68, 0.5, 0], [0442, 361.68, 2.0, 0], [0443, 361.68, 0.59, 0], [0444, 361.68, 1.2133, 0], [0445, 361.69, 14.715, 0], [0446, 361.7, 0.295, 0], [0447, 361.7, 0.4147, 0], [0448, 361.7, 0.9002, 0], [0451, 361.77, 15.2006, 0], [0452, 361.78, 0.1126, 0], [0453, 361.78, 0.2, 0], [0455, 361.82, 0.0634, 0], [0457, 361.82, 0.5444, 0], [0459, 361.83, 0.4872, 0], [0461, 361.88, 0.2511, 0], [0462, 361.88, 0.1573, 0], [0464, 361.89, 0.1558, 0], [0465, 361.9, 0.0555, 0], [0466, 361.9, 0.0304, 0], [0467, 361.92, 1.0135, 0], [0468, 361.96, 10.1337, 0], [0469, 361.96, 13.3577, 0], [0470, 361.96, 1.3573, 0], [0471, 361.95, 2.7634, 0], [0472, 361.97, 0.27, 0], [0473, 361.97, 14.73, 0], [0474, 361.97, 6.7558, 0], [0475, 361.98, 0.0417, 0], [0476, 361.98, 0.3767, 0], [0477, 361.97, 14.4656, 0], [0478, 361.97, 4.5039, 0], [0479, 361.97, 18.082, 0], [0481, 361.97, 3.0026, 0], [0482, 361.98, 0.0105, 0], [0483, 361.98, 3.0026, 0], [0484, 361.99, 0.0276, 0], [0485, 361.99, 4.5368, 0], [0486, 361.99, 2.0017, 0], [0488, 361.98, 3.0, 0], [0489, 361.95, 0.07, 0], [0490, 361.96, 0.2926, 0], [0491, 361.99, 0.2382, 0], [0493, 361.99, 0.8476, 0], [0494, 361.99, 2.7816, 0], [0495, 361.99, 3.0, 0], [0496, 361.99, 0.2352, 0], [0497, 361.99, 0.837, 0], [0498, 361.99, 1.1732, 0], [0499, 362.0, 0.0322, 0], [0500, 362.0, 2.514, 0], [0501, 362.0, 0.0544, 0], [0502, 362.0, 1.0031, 0], [0503, 362.0, 3.0894, 0], [0504, 362.0, 0.5296, 0], [0505, 362.0, 0.2247, 0], [0506, 362.0, 0.5, 0], [0509, 361.98, 0.0278, 0], [0510, 361.95, 0.0286, 0], [0511, 361.96, 0.1814, 0], [0512, 361.99, 4.2355, 0], [0513, 361.95, 0.1406, 0], [0514, 361.99, 2.0118, 0], [0515, 361.99, 0.0001, 0], [0516, 361.99, 1.3076, 0], [0517, 361.99, 0.1869, 0], [0518, 361.99, 1.742, 0], [0519, 362.0, 0.0588, 0], [0520, 362.04, 0.1069, 0], [0525, 362.05, 0.2264, 0], [0526, 362.05, 0.083, 0], [0527, 362.05, 0.083, 0], [0528, 362.05, 0.083, 0], [0529, 362.05, 0.083, 0], [0530, 362.06, 0.1117, 0], [0531, 362.06, 0.09, 0], [0532, 362.06, 2.298, 0], [0533, 362.07, 0.7, 0], [0534, 362.08, 0.1293, 0], [0535, 362.08, 0.1293, 0], [0536, 362.08, 5.8638, 0], [0537, 362.11, 0.1387, 0], [0548, 361.96, 1.3216, 0], [0549, 361.97, 2.1784, 0], [0550, 361.97, 1.3216, 0], [0554, 361.9, 0.5522, 0], [0555, 361.92, 0.5522, 0], [0556, 361.93, 1.6934, 0], [0558, 361.83, 5.3066, 0], [0559, 361.84, 0.2761, 0], [0560, 361.86, 2.0, 0], [0561, 361.87, 0.2761, 0], [0562, 361.93, 0.5103, 0], [0563, 361.91, 1.2252, 0], [0564, 361.92, 2.2748, 0], [0565, 361.92, 1.2252, 0], [0566, 361.99, 0.3336, 0], [0567, 361.99, 10.0245, 0], [0568, 361.99, 2.0803, 0], [0569, 361.99, 5.0, 0], [0579, 361.93, 0.2762, 0], [0580, 361.93, 0.27, 0], [0583, 361.89, 0.5524, 0], [0585, 361.8, 0.1, 0], [0589, 361.76, 0.1561, 0], [0590, 361.76, 0.1433, 0], [0592, 361.75, 5.5311, 0], [0599, 361.71, 0.1382, 0], [0602, 361.66, 0.153, 0], [0603, 361.7, 12.84, 0], [0604, 361.78, 0.1382, 0], [0605, 361.78, 14.715, 0], [0606, 361.83, 2.7527, 0], [0607, 361.83, 27.6872, 0], [0608, 361.89, 0.1382, 0], [0609, 361.89, 0.1618, 0], [0610, 361.95, 1.1364, 0], [0630, 361.96, 13.0477, 0], [0644, 361.82, 0.4006, 0], [0645, 361.82, 7.6539, 0], [0646, 361.9, 0.3009, 0], [0647, 361.95, 1.07, 0], [0648, 361.95, 2.14, 0], [0649, 361.95, 1.07, 0], [0650, 361.95, 4.28, 0], [0651, 361.95, 0.55, 0], [0652, 361.95, 8.56, 0], [0653, 361.95, 0.7, 0], [0654, 361.95, 2.14, 0], [0655, 361.95, 24.61, 0], [0656, 361.98, 0.2224, 0], [0657, 361.99, 1.4111, 0], [0658, 362.0, 0.046, 0], [0659, 362.03, 3.3065, 0], [0660, 362.04, 0.8692, 0], [0661, 362.08, 0.8083, 0], [0662, 362.11, 0.1, 0], [0663, 362.11, 1.0, 0], [0664, 362.12, 0.0331, 0], [0665, 362.12, 2.7207, 0], [0666, 362.12, 42.9724, 0], [0667, 362.12, 0.1467, 0], [0668, 362.13, 73.2269, 0], [0672, 362.06, 0.0462, 0], [0678, 361.74, 1.8964, 0], [0679, 361.72, 0.24, 0], [0680, 361.72, 0.0673, 0], [0682, 361.72, 0.1344, 0], [0693, 361.64, 0.0299, 0], [0700, 361.5, 5.534, 0], [0702, 361.5, 0.0447, 0], [0703, 361.5, 1.4213, 0], [0709, 361.34, 5.0, 0], [0710, 361.34, 1.44, 0], [0712, 361.34, 0.9609, 0], [0713, 361.51, 0.3839, 0], [0714, 361.5, 7.0, 0], [0715, 361.5, 7.8032, 0], [0716, 361.51, 4.1075, 0], [0717, 361.51, 0.1907, 0], [0718, 361.53, 7.557, 0], [0719, 361.55, 3.21, 0], [0720, 361.59, 14.271, 0], [0721, 361.63, 6.5282, 0], [0722, 361.64, 6.5832, 0], [0723, 361.65, 3.8517, 0], [0724, 361.65, 6.5246, 0], [0725, 361.65, 44.5, 0], [0726, 361.69, 0.1383, 0], [0727, 361.75, 5.1504, 0], [0728, 361.76, 14.715, 0], [0729, 361.81, 0.039, 0], [0730, 361.91, 9.4961, 0], [0735, 361.59, 0.4146, 0], [0737, 361.59, 1.0, 0], [0739, 361.57, 1.0, 0]]
last id:  0739

[3Create]

o5a,второй цикл со списками:

[[0281, 360.83, 2.2956, 0], [0282, 360.83, 1.7492, 0], [0283, 360.84, 0.3503, 0], [0284, 360.87, 1.0435, 0], [0285, 360.87, 0.3457, 0], [0286, 360.88, 9.5, 0], [0287, 360.89, 0.0637, 0], [0288, 360.89, 2.8119, 0], [0289, 360.89, 3.5, 0], [0290, 360.89, 2.902, 0], [0291, 360.98, 5.7906, 0], [0296, 361.0, 9.4555, 0], [0297, 361.0, 1.6381, 0], [0298, 361.0, 0.4217, 0], [0299, 361.07, 0.2936, 0], [0300, 361.07, 14.4214, 0], [0302, 361.08, 10.3948, 0], [0303, 361.08, 1.736, 0], [0304, 361.09, 0.5538, 0], [0305, 361.12, 0.2629, 0], [0306, 361.13, 0.5107, 0], [0307, 361.14, 14.715, 0], [0308, 361.17, 1.0155, 0], [0309, 361.22, 8.3052, 0], [0310, 361.22, 1.085, 0], [0311, 361.24, 0.035, 0], [0312, 361.27, 1.0597, 0], [0313, 361.29, 7.3935, 0], [0314, 361.31, 1.1398, 0], [0315, 361.38, 0.06, 0], [0316, 361.38, 0.1608, 0], [0317, 361.46, 0.1733, 0], [0325, 361.15, 0.27, 0], [0326, 361.15, 0.18, 0], [0338, 360.97, 0.252, 0], [0340, 360.94, 0.573, 0], [0342, 360.89, 0.1676, 0], [0344, 360.87, 0.9273, 0], [0345, 360.9, 0.1383, 0], [0347, 360.84, 0.1219, 0], [0349, 360.83, 0.2389, 0], [0351, 360.8, 3.0, 0], [0352, 360.81, 7.0, 0], [0353, 360.82, 7.0, 0], [0354, 360.9, 3.1, 0], [0355, 360.92, 5.0981, 0], [0356, 360.94, 2.2661, 0], [0357, 361.06, 8.6719, 0], [0358, 361.12, 3.6, 0], [0359, 361.12, 3.5, 0], [0360, 361.13, 17.5509, 0], [0361, 361.14, 0.1385, 0], [0362, 361.22, 0.8263, 0], [0369, 361.0, 106.6305, 0], [0370, 361.22, 3.5, 0], [0371, 361.23, 1.9117, 0], [0373, 361.25, 3.5, 0], [0376, 361.25, 0.5, 0], [0379, 361.2, 1.9988, 0], [0380, 361.2, 1.5012, 0], [0381, 361.21, 5.5369, 0], [0382, 361.21, 9.1781, 0], [0383, 361.24, 15.933, 0], [0387, 361.23, 0.7919, 0], [0388, 361.25, 1.2231, 0], [0389, 361.25, 2.9716, 0], [0390, 361.23, 5.0, 0], [0391, 361.26, 0.5536, 0], [0392, 361.27, 0.4519, 0], [0393, 361.27, 0.5645, 0], [0395, 361.38, 0.1208, 0], [0396, 361.5, 0.4, 0], [0397, 361.5, 1.4969, 0], [0398, 361.5, 2.3483, 0], [0399, 361.5, 3.1, 0], [0405, 361.49, 0.525, 0], [0406, 361.49, 0.4549, 0], [0407, 361.44, 0.4328, 0], [0408, 361.4, 0.6849, 0], [0410, 361.44, 1.2498, 0], [0411, 361.51, 0.2889, 0], [0412, 361.51, 2.2557, 0], [0413, 361.51, 1.2192, 0], [0414, 361.51, 1.732, 0], [0416, 361.51, 0.0001, 0], [0417, 361.51, 2.3919, 0], [0418, 361.51, 2.3447, 0], [0419, 361.51, 0.0625, 0], [0420, 361.53, 0.4237, 0], [0421, 361.51, 0.0625, 0], [0422, 361.51, 1.5021, 0], [0423, 361.51, 0.0615, 0], [0424, 361.53, 0.5, 0], [0425, 361.53, 6.8795, 0], [0426, 361.53, 7.2486, 0], [0427, 361.53, 1.577, 0], [0428, 361.56, 0.8397, 0], [0429, 361.57, 0.1155, 0], [0432, 361.5, 0.4731, 0], [0433, 361.54, 1.841, 0], [0434, 361.6, 7.3825, 0], [0435, 361.6, 2.31, 0], [0437, 361.6, 0.0041, 0], [0438, 361.63, 0.2488, 0], [0439, 361.68, 0.0171, 0], [0440, 361.68, 1.0, 0], [0441, 361.68, 0.5, 0], [0442, 361.68, 2.0, 0], [0443, 361.68, 0.59, 0], [0444, 361.68, 1.2133, 0], [0445, 361.69, 14.715, 0], [0446, 361.7, 0.295, 0], [0447, 361.7, 0.4147, 0], [0448, 361.7, 0.9002, 0], [0451, 361.77, 15.2006, 0], [0452, 361.78, 0.1126, 0], [0453, 361.78, 0.2, 0], [0455, 361.82, 0.0634, 0], [0457, 361.82, 0.5444, 0], [0459, 361.83, 0.4872, 0], [0461, 361.88, 0.2511, 0], [0462, 361.88, 0.1573, 0], [0464, 361.89, 0.1558, 0], [0465, 361.9, 0.0555, 0], [0466, 361.9, 0.0304, 0], [0467, 361.92, 1.0135, 0], [0468, 361.96, 10.1337, 0], [0469, 361.96, 13.3577, 0], [0470, 361.96, 1.3573, 0], [0471, 361.95, 2.7634, 0], [0472, 361.97, 0.27, 0], [0473, 361.97, 14.73, 0], [0474, 361.97, 6.7558, 0], [0475, 361.98, 0.0417, 0], [0476, 361.98, 0.3767, 0], [0477, 361.97, 14.4656, 0], [0478, 361.97, 4.5039, 0], [0479, 361.97, 18.082, 0], [0481, 361.97, 3.0026, 0], [0482, 361.98, 0.0105, 0], [0483, 361.98, 3.0026, 0], [0484, 361.99, 0.0276, 0], [0485, 361.99, 4.5368, 0], [0486, 361.99, 2.0017, 0], [0488, 361.98, 3.0, 0], [0489, 361.95, 0.07, 0], [0490, 361.96, 0.2926, 0], [0491, 361.99, 0.2382, 0], [0493, 361.99, 0.8476, 0], [0494, 361.99, 2.7816, 0], [0495, 361.99, 3.0, 0], [0496, 361.99, 0.2352, 0], [0497, 361.99, 0.837, 0], [0498, 361.99, 1.1732, 0], [0499, 362.0, 0.0322, 0], [0500, 362.0, 2.514, 0], [0501, 362.0, 0.0544, 0], [0502, 362.0, 1.0031, 0], [0503, 362.0, 3.0894, 0], [0504, 362.0, 0.5296, 0], [0505, 362.0, 0.2247, 0], [0506, 362.0, 0.5, 0], [0509, 361.98, 0.0278, 0], [0510, 361.95, 0.0286, 0], [0511, 361.96, 0.1814, 0], [0512, 361.99, 4.2355, 0], [0513, 361.95, 0.1406, 0], [0514, 361.99, 2.0118, 0], [0515, 361.99, 0.0001, 0], [0516, 361.99, 1.3076, 0], [0517, 361.99, 0.1869, 0], [0518, 361.99, 1.742, 0], [0519, 362.0, 0.0588, 0], [0520, 362.04, 0.1069, 0], [0525, 362.05, 0.2264, 0], [0526, 362.05, 0.083, 0], [0527, 362.05, 0.083, 0], [0528, 362.05, 0.083, 0], [0529, 362.05, 0.083, 0], [0530, 362.06, 0.1117, 0], [0531, 362.06, 0.09, 0], [0532, 362.06, 2.298, 0], [0533, 362.07, 0.7, 0], [0534, 362.08, 0.1293, 0], [0535, 362.08, 0.1293, 0], [0536, 362.08, 5.8638, 0], [0537, 362.11, 0.1387, 0], [0548, 361.96, 1.3216, 0], [0549, 361.97, 2.1784, 0], [0550, 361.97, 1.3216, 0], [0554, 361.9, 0.5522, 0], [0555, 361.92, 0.5522, 0], [0556, 361.93, 1.6934, 0], [0558, 361.83, 5.3066, 0], [0559, 361.84, 0.2761, 0], [0560, 361.86, 2.0, 0], [0561, 361.87, 0.2761, 0], [0562, 361.93, 0.5103, 0], [0563, 361.91, 1.2252, 0], [0564, 361.92, 2.2748, 0], [0565, 361.92, 1.2252, 0], [0566, 361.99, 0.3336, 0], [0567, 361.99, 10.0245, 0], [0568, 361.99, 2.0803, 0], [0569, 361.99, 5.0, 0], [0579, 361.93, 0.2762, 0], [0580, 361.93, 0.27, 0], [0583, 361.89, 0.5524, 0], [0585, 361.8, 0.1, 0], [0589, 361.76, 0.1561, 0], [0590, 361.76, 0.1433, 0], [0592, 361.75, 5.5311, 0], [0599, 361.71, 0.1382, 0], [0602, 361.66, 0.153, 0], [0603, 361.7, 12.84, 0], [0604, 361.78, 0.1382, 0], [0605, 361.78, 14.715, 0], [0606, 361.83, 2.7527, 0], [0607, 361.83, 27.6872, 0], [0608, 361.89, 0.1382, 0], [0609, 361.89, 0.1618, 0], [0610, 361.95, 1.1364, 0], [0630, 361.96, 13.0477, 0], [0644, 361.82, 0.4006, 0], [0645, 361.82, 7.6539, 0], [0646, 361.9, 0.3009, 0], [0647, 361.95, 1.07, 0], [0648, 361.95, 2.14, 0], [0649, 361.95, 1.07, 0], [0650, 361.95, 4.28, 0], [0651, 361.95, 0.55, 0], [0652, 361.95, 8.56, 0], [0653, 361.95, 0.7, 0], [0654, 361.95, 2.14, 0], [0655, 361.95, 24.61, 0], [0656, 361.98, 0.2224, 0], [0657, 361.99, 1.4111, 0], [0658, 362.0, 0.046, 0], [0659, 362.03, 3.3065, 0], [0660, 362.04, 0.8692, 0], [0661, 362.08, 0.8083, 0], [0662, 362.11, 0.1, 0], [0663, 362.11, 1.0, 0], [0664, 362.12, 0.0331, 0], [0665, 362.12, 2.7207, 0], [0666, 362.12, 42.9724, 0], [0667, 362.12, 0.1467, 0], [0668, 362.13, 73.2269, 0], [0672, 362.06, 0.0462, 0], [0678, 361.74, 1.8964, 0], [0679, 361.72, 0.24, 0], [0680, 361.72, 0.0673, 0], [0682, 361.72, 0.1344, 0], [0693, 361.64, 0.0299, 0], [0700, 361.5, 5.534, 0], [0702, 361.5, 0.0447, 0], [0703, 361.5, 1.4213, 0], [0709, 361.34, 5.0, 0], [0710, 361.34, 1.44, 0], [0712, 361.34, 0.9609, 0], [0713, 361.51, 0.3839, 0], [0714, 361.5, 7.0, 0], [0715, 361.5, 7.8032, 0], [0716, 361.51, 4.1075, 0], [0717, 361.51, 0.1907, 0], [0718, 361.53, 7.557, 0], [0719, 361.55, 3.21, 0], [0720, 361.59, 14.271, 0], [0721, 361.63, 6.5282, 0], [0722, 361.64, 6.5832, 0], [0723, 361.65, 3.8517, 0], [0724, 361.65, 6.5246, 0], [0725, 361.65, 44.5, 0], [0726, 361.69, 0.1383, 0], [0727, 361.75, 5.1504, 0], [0728, 361.76, 14.715, 0], [0729, 361.81, 0.039, 0], [0730, 361.91, 9.4961, 0], [0735, 361.59, 0.4146, 0], [0737, 361.59, 1.0, 0], [0739, 361.57, 1.0, 0], [0742, 361.55, 1.241, 0], [0745, 361.67, 0.5529, 0], [0746, 361.64, 0.2763, 0], [0747, 361.67, 0.7609, 0], [0753, 361.65, 6.2358, 0], [0754, 361.65, 0.6014, 0], [0755, 361.65, 0.0437, 0], [0760, 361.6, 1.1035, 0], [0761, 361.6, 0.1473, 0], [0762, 361.6, 0.0829, 0], [0763, 361.6, 4.9371, 0], [0765, 361.6, 0.372, 0], [0768, 361.63, 0.2117, 0], [0769, 361.63, 5.3301, 0], [0770, 361.65, 0.1383, 0], [0771, 361.66, 1.07, 0], [0772, 361.68, 0.8843, 0], [0773, 361.69, 2.5264, 0], [0774, 361.73, 0.1383, 0], [0775, 361.74, 3.4827, 0], [0776, 361.75, 26.2502, 0], [0777, 361.76, 75.0, 0], [0778, 361.76, 10.0, 0], [0779, 361.77, 15.0, 0], [0780, 361.79, 40.1848, 0]]
last id:  0780
#################

Как видем последний id в первом списке был 0739, но второй список не отфильтровался и начался с более раннего значения 0281

[o5a]

3Create, значит не то подставляете в цикл. А в последних примерах у Вас вообще списки с непонятно чем. 0281 ведь у Вас даже ругнется, так какой код Вы на самом деле тестировали?

Я же показывал, в том примере load_data - это список, содержащий все загрузки. И строка с last_id у Вас кстати с неправильным отступом, не знаю, как так копировали. Еще раз, если брать валидные списки из вашего примера, смотрите что выводит:

d1 = [[7119, 364.42, 0.1615, 0], [7120, 364.42, 0.0969, 0], [7121, 364.66, 0.8113, 0], [7122, 364.67, 5.4208, 0], [7128, 364.64, 2.9978, 0], [7129, 364.64, 0.1081, 0], [7130, 364.53, 0.4472, 0], [7132, 364.53, 4.0, 0], [7133, 364.53, 1.5, 0], [7134, 364.53, 1.5, 0], [7135, 364.53, 0.4719, 0], [7136, 364.53, 0.4472, 0], [7137, 364.54, 0.4472, 0]]
# Новое значение через 1 сек: #
d2 = [[7136, 364.53, 0.4472, 0], [7137, 364.54, 0.4472, 0], [7209, 365.12, 0.12, 0], [7210, 365.44, 3.3298, 0], [7211, 365.54, 4.5902, 0], [7212, 365.54, 2.3, 0], [7213, 365.54, 3.3418, 0], [7214, 365.55, 2.4082, 0]]
# компонуем это в последовательность загрузки, чтобы показать, как это будет выглядеть последовательно
load_data = [d1, d2]
last_id = 0
for data in load_data:
    current_data = []
    for row in data:
        if row[0] > last_id:
            current_data.append(row)
    last_id = row[0]
    print(current_data)

[3Create]

o5a, я пытаюсь донести, что всегда обновляется одна переменная d1.

d1 = [[7119, 364.42, 0.1615, 0], [7120, 364.42, 0.0969, 0], [7121, 364.66, 0.8113, 0], [7122, 364.67, 5.4208, 0], [7128, 364.64, 2.9978, 0], [7129, 364.64, 0.1081, 0], [7130, 364.53, 0.4472, 0], [7132, 364.53, 4.0, 0], [7133, 364.53, 1.5, 0], [7134, 364.53, 1.5, 0], [7135, 364.53, 0.4719, 0], [7136, 364.53, 0.4472, 0], [7137, 364.54, 0.4472, 0]]
# Новое значение через 1 сек: #

load_data = [d1]
last_id = 0
for data in load_data:
    current_data = []
    for row in data:
        if row[0] > last_id:
            current_data.append(row)
    last_id = row[0]
    print(current_data)

И получается что каждый приход данных пересчитывается по порядку и получается тоже самое что и пришло, таким образом след массив данных не изменяется, не обрезается...он просто его пересчитывает

[o5a]

3Create, Вы что, не видите разницу, с тем, что показываю? Я показываю, как при последовательной подаче порций данных (d1, d2, ...) в цикле брать только новые. А вы пытаетесь подменять порции данных (d1). Они не должны меняться, они должны каждый раз идти новые, как показано в цикле
for data in load_data
data это и есть каждая новая порция данных, которая поступает.
Вы же не приводите никакого кода, как там у Вас эта загрузка производится. Данный код показывает, как ее нужно изменить. Вместо этого цикла (for data ...) ставите свой цикл поступления данных, где data - это каждая новая порция данных.
Если у Вас, как говорите, d1 меняется, вот после каждого изменения и прогоняете этот цикл, значит в качестве data всегда будет d1.

[o5a]

3Create, если понятнее, то допустим у Вас цикл получения новых данных построен через запрос к API
data = some_api_get_data()
каждый запрос возвращает эти списки вида

[[7119, 364.42, 0.1615, 0], [7120, 364.42, 0.0969, 0], ... ]

Значит так же в цикле и фильтруете новые данные, после каждого получения новой порции, например так

last_id = 0
while True:
    data = some_api_get_data()
    # и далее как я предлагал в примере
    current_data = []
    for row in data:
    ....

[3Create]

o5a, MinTnt, вот, запустите и посмотрите что проиcходит:

import sys
import time
import urllib
import hmac, hashlib
import requests
from urllib.parse import urlparse
########################################################
class Yorik():
    methods = {
        'trades_spot': {'url': 'api/v1/trades', 'method': 'GET', 'private': False},
    }

    def __init__(self, API_KEY, API_SECRET):
        self.API_KEY = API_KEY
        self.API_SECRET = bytearray(API_SECRET, encoding='utf-8')
        self.shift_seconds = 0

    def __getattr__(self, name):
        def wrapper(*args, **kwargs):
            kwargs.update(command=name)
            return self.call_api(**kwargs)

        return wrapper

    def set_shift_seconds(self, seconds):
        self.shift_seconds = seconds

    def call_api(self, **kwargs):

        command = kwargs.pop('command')

        base_url = 'https://api.binance.com/'
        if self.methods[command].get('futures'):
            base_url = 'https://fapi.binance.com/'
        api_url = base_url + self.methods[command]['url']

        payload = kwargs
        headers = {}

        payload_str = urllib.parse.urlencode(payload)
        if self.methods[command]['private']:
            payload.update({'timestamp': int(time.time() + self.shift_seconds - 1) * 1000})
            payload_str = urllib.parse.urlencode(payload).encode('utf-8')
            sign = hmac.new(
                key=self.API_SECRET,
                msg=payload_str,
                digestmod=hashlib.sha256
            ).hexdigest()

            payload_str = payload_str.decode("utf-8") + "&signature=" + str(sign)
            headers = {"X-MBX-APIKEY": self.API_KEY, "Content-Type": "application/x-www-form-urlencoded"}

        if self.methods[command]['method'] == 'GET' or self.methods[command]['url'].startswith('sapi'):
            api_url += '?' + payload_str

        response = requests.request(method=self.methods[command]['method'], url=api_url,
                                    data="" if self.methods[command]['method'] == 'GET' else payload_str,
                                    headers=headers)

        if 'code' in response.text:
            raise Exception(response.text)

        return response.json()

################################################################################################
aaa = Yorik(
    API_KEY='SU1HkQLfSHYSkcETawn0ITxzY0FeLNEKHbo4rgUaeebz7VxjiamLttmsJjCxfEXr ',
    API_SECRET='n2tPwkxD7tk9jVFib4VDaGLIuIwHDfQXSsSVcNdXb15bLTbwNItqPkp7fiJqneAT'
)
################################################################################################

if __name__ == '__main__':

    while True:
        try:

            market_t = aaa.trades_spot(symbol='BNBUSDT', limit=500)
            qty_isBM_ = [[x['id'], float(x['price']), float(x['qty']), int(x['isBuyerMaker'])] for x in market_t]

            qty_bids = [x for x in qty_isBM_ if x[3] == 0]  ### Сортировка Bids isBuyerMaker = False


            load_data=[qty_bids]
            last_id = 0
            for data in load_data:
                current_data = []
                for row in data:
                    if row[0] > last_id:
                        current_data.append(row)
                last_id = row[0]
                print(current_data)
            print("last_id: ",last_id)
            print("####################################")


        except:
            print('ERROR:', sys.exc_info())
        time.sleep(1)

[o5a]

3Create, вот о чем я и говорил, если уже есть цикл обновления этих данных, не нужно делать еще один цикл. Мой цикл был для того, чтобы показать пример приходящих в цикле данных. Код Ваш не запускал, предполагаю, что qty_bids это и есть те блоки данных. Т.е. в Вашем случае будет примерно так (изменил последний кусок)

if __name__ == '__main__':
    last_id = 0 # инициализация идентификатора должна идти до начала обработки данных
    while True:
        try:
            market_t = aaa.trades_spot(symbol='BNBUSDT', limit=500)
            qty_isBM_ = [[x['id'], float(x['price']), float(x['qty']), int(x['isBuyerMaker'])] for x in market_t]

            qty_bids = [x for x in qty_isBM_ if x[3] == 0]  ### Сортировка Bids isBuyerMaker = False

            current_data = []
            for row in qty_bids:
                if row[0] > last_id:
                    current_data.append(row)
            last_id = row[0]
            print(current_data)
            print("last_id: ",last_id)
            print("####################################")

        except:
            print('ERROR:', sys.exc_info())
        time.sleep(1)

[3Create]

o5a, Спасибо за магию))) Оно начало работать

[o5a]

3Create, и заодно, чтобы не возникло ошибок, если x['id'] всегда числа, то лучше сразу конвертировать в int, иначе сравнение по строкам потенциально может быть ошибочным

Answer 2

[Viktor T2]

result = []

prev = [[1001, 50], [1002, 50], [1003, 50], [1004, 50]]
next = [[1003, 60], [1004, 60], [1005, 50], [1004, 50]]

# преобразуем в кортежи (чтобы можно было преобразовать в множества)
prev_tuple = tuple(tuple(x) for x in prev)
next_tuple = tuple(tuple(x) for x in next)

# преобразуем в множество и вычитаеи множества
delta = set(next_tuple) - set(prev_tuple)

# обратно в список
delta = list(list(x) for x in delta)

print(delta)
# разницу в результат
result.extend(delta)

print(result)