Output not displaying full list of elements appended

Output not displaying full list of elements appended - python

from csv import reader
def func(sku_list):
values = []
with open(sku_list, 'r', encoding = 'utf-8') as pr:
rows = reader(pr)
for sku in rows:
values.append(sku[1])
return(values)
if __name__ == '__main__':
dir_path = "C:/Users/XXXX/Downloads/"
vendors = dir_path + 'file.csv'
new_prices = func(vendors)
print(new_prices)
sku_list is a csv file filled with pairs of brand names and their skus that I have downloaded from my db, for some reason as it iters through the rows and grabs just the sku value, hence sku[1], it stops well short of the actual length I expect the list to be
sku_list is 85,892 tuples long but when I print out the values appended to the list values it simply returns this:
['SKU', 'MWGB4896', 'MWGB4872', 'MWGB4848', 'MWGB3648', 'WGB4896', 'WGB4872', 'WGB4848', 'WGB3648', 'WGB2436', 'WGB1824', 'BKGB4896NT', 'BKGB4872NT', 'BKGB4848NT', 'BKGB3648NT', 'BKGB2436NT', 'BKGB1824NT', 'WFC2418G', 'WFC2418', 'WFC3624', 'WFC2418LB', 'WFC3648LB', 'WFC3624LB', 'WFC3624G', 'WFC3648G', 'WFC3648', 'LOWFC3624LB', 'LOWFC3624G', 'LOWFC3624', 'LOWFC2418LB', 'LOWFC2418G', 'LOWFC2418', 'LOWFC3648LB', 'LOWFC3648', 'LOWFC3648G', 'WM-7-B', 'WM-7-G', 'WM-7-BK', 'WMC-7', 'WM-7-R', 'APS-50', 'APS-70', 'APS-60', 'APS-84', 'SS15W', 'SC15W', 'SB15W', 'MFL-2W', 'WP-48', 'WP-40', 'WP-36', 'MP-48', 'MP-40', 'MP-36', 'OP-40', 'OP-36', 'OP-48', 'FFVSU96-2', 'FFVSU144-2', 'FFVSU192-2', '1-WA-1B', '1-WA-1BP', 'WCS-12', 'WCS-144', 'OPLD3416LSPP-2', 'OPLD3416LSPP-4', 'OPLD3416LSPP-5', 'OPLD3416LSPP-7', 'OPLD3416LSPP-8', 'OPLD1818LSPP-2', 'OPLD1818LSPP-4', 'OPLD1818LSPP-5', 'OPLD1818LSPP-7', 'OPLD1818LSPP-8', 'OPLD1818L-2', 'OPLD1818L-5', 'OPLD1818L-4', 'OPLD3416L-2', 'OPLD3416L-4', 'OPLD3416L-5', 'OPLD3416L-7', 'OPLD3416L-8', 'OPLD1818L-7', 'OPLD1818L-8', 'OPLD3416SPP-8-892', 'OPLD3416SPP-8-897', 'OPLD3416SPP-8-878', 'OPLD3416SPP-8-885', 'OPLD3416SPP-8-887', 'OPLD3416SPP-8-890', 'OPLD3416SPP-8-845', 'OPLD3416SPP-8-854', 'OPLD3416SPP-8-856', 'OPLD3416SPP-8-876', 'OPLD3416SPP-8-802', 'OPLD3416SPP-8-706', 'OPLD3416SPP-8-705', 'OPLD3416SPP-8-704', 'OPLD3416SPP-8-837', 'OPLD3416SPP-8-831', 'OPLD3416SPP-8-819', 'OPLD3416SPP-8-812', 'OPLD3416SPP-8-685', 'OPLD3416SPP-8-683', 'OPLD3416SPP-8-679', 'OPLD3416SPP-8-531', 'OPLD3416SPP-8-703', 'OPLD3416SPP-8-702', 'OPLD3416SPP-8-701', 'OPLD3416SPP-8-700', 'OPLD3416SPP-7-892', 'OPLD3416SPP-7-897', 'OPLD3416SPP-7-887', 'OPLD3416SPP-7-890', 'OPLD3416SPP-8-530', 'OPLD3416SPP-7-845', 'OPLD3416SPP-7-854', 'OPLD3416SPP-7-831', 'OPLD3416SPP-7-837', 'OPLD3416SPP-7-878', 'OPLD3416SPP-7-885', 'OPLD3416SPP-7-856', 'OPLD3416SPP-7-876', 'OPLD3416SPP-7-703', 'OPLD3416SPP-7-702', 'OPLD3416SPP-7-705', 'OPLD3416SPP-7-704', 'OPLD3416SPP-7-802', 'OPLD3416SPP-7-706', 'OPLD3416SPP-7-819', 'OPLD3416SPP-7-812', 'OPLD3416SPP-7-530', 'OPLD3416SPP-7-679', 'OPLD3416SPP-7-531', 'OPLD3416SPP-7-685', 'OPLD3416SPP-7-683', 'OPLD3416SPP-7-701', 'OPLD3416SPP-7-700', 'OPLD3416SPP-5-878', 'OPLD3416SPP-5-885', 'OPLD3416SPP-5-887', 'OPLD3416SPP-5-890', 'OPLD3416SPP-5-892', 'OPLD3416SPP-5-897', 'OPLD3416SPP-5-812', 'OPLD3416SPP-5-819', 'OPLD3416SPP-5-831', 'OPLD3416SPP-5-837', 'OPLD3416SPP-5-845', 'OPLD3416SPP-5-854', 'OPLD3416SPP-5-856', 'OPLD3416SPP-5-876', 'OPLD1818SPP-8-819', 'OPLD1818SPP-8-831', 'OPLD1818SPP-8-802', 'OPLD1818SPP-8-812', 'OPLD1818SPP-8-854', 'OPLD1818SPP-8-856', 'OPLD1818SPP-8-837', 'OPLD1818SPP-8-845', 'OPLD1818SPP-8-701', 'OPLD1818SPP-8-702', 'OPLD1818SPP-8-685', 'OPLD1818SPP-8-700', 'OPLD1818SPP-8-705', 'OPLD1818SPP-8-706', 'OPLD1818SPP-8-703', 'OPLD1818SPP-8-704', 'OPLD1818SPP-8-887', 'OPLD1818SPP-8-885', 'OPLD1818SPP-8-878', 'OPLD1818SPP-8-876', 'OPLD1818SPP-8-897', 'OPLD1818SPP-8-892', 'OPLD1818SPP-8-890', 'OPLD3416SPP-4-837', 'OPLD3416SPP-4-831', 'OPLD3416SPP-4-854', 'OPLD3416SPP-4-845', 'OPLD3416SPP-4-802', 'OPLD3416SPP-4-706',
'OPLD3416SPP-4-819', 'OPLD3416SPP-4-812', 'OPLD3416SPP-4-890', 'OPLD3416SPP-4-887', 'OPLD3416SPP-4-897', 'OPLD3416SPP-4-892', 'OPLD3416SPP-4-876', 'OPLD3416SPP-4-856', 'OPLD3416SPP-4-885', 'OPLD3416SPP-4-878', 'OPLD3416SPP-5-531', 'OPLD3416SPP-5-679', 'OPLD3416SPP-5-683', 'OPLD3416SPP-5-685', 'OPLD3416SPP-5-530', 'OPLD3416SPP-5-704', 'OPLD3416SPP-5-705', 'OPLD3416SPP-5-706', 'OPLD3416SPP-5-802', 'OPLD3416SPP-5-700', 'OPLD3416SPP-5-701', 'OPLD3416SPP-5-702', 'OPLD3416SPP-5-703', 'OPLD3416SPP-2-837', 'OPLD3416SPP-2-831', 'OPLD3416SPP-2-819', 'OPLD3416SPP-2-812', 'OPLD3416SPP-2-802', 'OPLD3416SPP-2-706', 'OPLD3416SPP-2-705', 'OPLD3416SPP-2-704', 'OPLD3416SPP-2-890', 'OPLD3416SPP-2-887', 'OPLD3416SPP-2-885', 'OPLD3416SPP-2-878', 'OPLD3416SPP-2-876', 'OPLD3416SPP-2-856', 'OPLD3416SPP-2-854', 'OPLD3416SPP-2-845', 'OPLD3416SPP-4-531', 'OPLD3416SPP-4-679', 'OPLD3416SPP-4-530', 'OPLD3416SPP-2-892', 'OPLD3416SPP-2-897', 'OPLD3416SPP-4-704', 'OPLD3416SPP-4-705', 'OPLD3416SPP-4-702', 'OPLD3416SPP-4-703', 'OPLD3416SPP-4-700', 'OPLD3416SPP-4-701', 'OPLD3416SPP-4-683', 'OPLD3416SPP-4-685', 'OPLD3416SPP-2-530', 'OPLD3416SPP-2-531', 'OPLD3416SPP-2-679', 'OPLD3416SPP-2-683', 'OPLD3416SPP-2-685', 'OPLD3416SPP-2-700', 'OPLD3416SPP-2-701', 'OPLD3416SPP-2-702', 'OPLD3416SPP-2-703', 'OPLD1818SPP-7-819', 'OPLD1818SPP-7-831', 'OPLD1818SPP-7-837', 'OPLD1818SPP-7-845', 'OPLD1818SPP-7-705', 'OPLD1818SPP-7-706', 'OPLD1818SPP-7-802', 'OPLD1818SPP-7-812', 'OPLD1818SPP-7-701', 'OPLD1818SPP-7-702', 'OPLD1818SPP-7-703', 'OPLD1818SPP-7-704', 'OPLD1818SPP-7-679', 'OPLD1818SPP-7-683', 'OPLD1818SPP-7-685', 'OPLD1818SPP-7-700', 'OPLD1818SPP-8-531', 'OPLD1818SPP-8-530', 'OPLD1818SPP-8-683', 'OPLD1818SPP-8-679', 'OPLD1818SPP-7-897', 'OPLD1818SPP-7-887', 'OPLD1818SPP-7-885', 'OPLD1818SPP-7-892', 'OPLD1818SPP-7-890', 'OPLD1818SPP-7-856', 'OPLD1818SPP-7-854', 'OPLD1818SPP-7-878', 'OPLD1818SPP-7-876', 'OPLD1818SPP-5-819', 'OPLD1818SPP-5-831', 'OPLD1818SPP-5-802', 'OPLD1818SPP-5-812', 'OPLD1818SPP-5-705', 'OPLD1818SPP-5-706', 'OPLD1818SPP-5-703', 'OPLD1818SPP-5-704', 'OPLD1818SPP-5-701', 'OPLD1818SPP-5-702', 'OPLD1818SPP-5-685', 'OPLD1818SPP-5-700', 'OPLD1818SPP-5-679', 'OPLD1818SPP-5-683', 'OPLD1818SPP-5-530', 'OPLD1818SPP-5-531', 'OPLD1818SPP-7-531', 'OPLD1818SPP-7-530', 'OPLD1818SPP-5-897', 'OPLD1818SPP-5-892', 'OPLD1818SPP-5-890', 'OPLD1818SPP-5-887', 'OPLD1818SPP-5-885', 'OPLD1818SPP-5-878', 'OPLD1818SPP-5-876', 'OPLD1818SPP-5-856', 'OPLD1818SPP-5-854', 'OPLD1818SPP-5-845', 'OPLD1818SPP-5-837', 'OPLD1818SPP-4-701', 'OPLD1818SPP-4-702', 'OPLD1818SPP-4-703', 'OPLD1818SPP-4-704', 'OPLD1818SPP-4-705', 'OPLD1818SPP-4-706', 'OPLD1818SPP-4-802', 'OPLD1818SPP-4-812', 'OPLD1818SPP-4-530', 'OPLD1818SPP-4-531', 'OPLD1818SPP-4-679', 'OPLD1818SPP-4-683', 'OPLD1818SPP-4-685', 'OPLD1818SPP-4-700', 'OPLD1818SPP-4-887', 'OPLD1818SPP-2-837', 'OPLD1818SPP-2-845', 'OPLD1818SPP-2-854', 'OPLD1818SPP-2-856', 'OPLD1818SPP-2-802', 'OPLD1818SPP-2-812', 'OPLD1818SPP-2-819', 'OPLD1818SPP-2-831', 'OPLD1818SPP-2-890', 'OPLD1818SPP-2-892', 'OPLD1818SPP-2-897', 'OPLD1818SPP-2-876', 'OPLD1818SPP-2-878', 'OPLD1818SPP-2-885', 'OPLD1818SPP-2-887', 'OPLD1818SPP-2-531', 'OPLD1818SPP-2-530', 'OPLD1818SPP-2-683', 'OPLD1818SPP-2-679', 'OPLD1818SPP-2-704', 'OPLD1818SPP-2-703',
'OPLD1818SPP-2-706', 'OPLD1818SPP-2-705', 'OPLD1818SPP-2-700', 'OPLD1818SPP-2-685', 'OPLD1818SPP-2-702', 'OPLD1818SPP-2-701', 'OPLD1818SPP-4-876', 'OPLD1818SPP-4-878', 'OPLD1818SPP-4-854', 'OPLD1818SPP-4-856', 'OPLD1818SPP-4-837', 'OPLD1818SPP-4-845', 'OPLD1818SPP-4-819', 'OPLD1818SPP-4-831', 'OPLD1818SPP-4-897', 'OPLD1818SPP-4-890', 'OPLD1818SPP-4-892', 'OPLD1818SPP-4-885', 'PLD4832DPP-2-845', 'PLD4832DPP-2-837', 'PLD4832DPP-2-856', 'PLD4832DPP-2-854', 'PLD4832DPP-2-878', 'PLD4832DPP-2-876', 'PLD4832DPP-2-887', 'PLD4832DPP-2-885', 'PLD4832DPP-2-892', 'PLD4832DPP-2-890', 'PLD4832DPP-2-897', 'PLD4832DPP-4-531', 'PLD4832DPP-4-530', 'PLD4832DPP-4-679', 'PLD4832DPP-4-683', 'PLD4832DPP-4-685', 'PLD4832DPP-4-700', 'PLD4832DPP-4-701', 'PLD4832DPP-4-702', 'PLD4832DPP-4-703', 'PLD4832DPP-4-704', 'PLD4832DPP-4-705', 'PLD4832DPP-4-706', 'PLD4832DPP-4-802', 'PLD4832DPP-4-812', 'PLD4832DPP-4-819', 'PLD4832DPP-4-831', 'PLD4832DPP-4-837', 'PLD4832DPP-4-845', 'PLD4832DPP-4-878', 'PLD4832DPP-4-876', 'PLD4832DPP-4-856', 'PLD4832DPP-4-854', 'PLD4832DPP-4-892', 'PLD4832DPP-4-890', 'PLD4832DPP-4-887', 'PLD4832DPP-4-885', 'PLD4832DPP-4-897', 'PLD4832DPP-5-683', 'PLD4832DPP-5-679', 'PLD4832DPP-5-531', 'PLD4832DPP-5-530', 'PLD4832DPP-5-701', 'PLD4832DPP-5-702', 'PLD4832DPP-5-685', 'PLD4832DPP-5-700', 'PLD4832DPP-5-705', 'PLD4832DPP-5-706', 'PLD4832DPP-5-703', 'PLD4832DPP-5-704', 'PLD4832DPP-5-819', 'PLD4832DPP-5-831', 'PLD4832DPP-5-802', 'PLD4832DPP-5-812', 'PLD4832DPP-5-854', 'PLD4832DPP-5-856', 'PLD4832DPP-5-837', 'PLD4832DPP-5-845', 'PLD4832DPP-2-701', 'PLD4832DPP-2-702', 'PLD4832DPP-2-685', 'PLD4832DPP-2-700', 'PLD4832DPP-2-679', 'PLD4832DPP-2-683', 'PLD4832DPP-2-530', 'PLD4832DPP-2-531', 'PLD4832DPP-2-819', 'PLD4832DPP-2-831', 'PLD4832DPP-2-802', 'PLD4832DPP-2-812', 'PLD4832DPP-2-705', 'PLD4832DPP-2-706', 'PLD4832DPP-2-703', 'PLD4832DPP-2-704', 'PLD4226DPP-8-887', 'PLD4226DPP-8-890', 'PLD4226DPP-8-892', 'PLD4226DPP-8-897', 'PLD4226DPP-8-856', 'PLD4226DPP-8-876', 'PLD4226DPP-8-878', 'PLD4226DPP-8-885', 'PLD4226DPP-8-831', 'PLD4226DPP-8-837', 'PLD4226DPP-8-845', 'PLD4226DPP-8-854', 'PLD4226DPP-8-706', 'PLD4226DPP-8-802', 'PLD4226DPP-8-812', 'PLD4226DPP-8-819', 'PLD4226DPP-5-892', 'PLD4226DPP-5-897', 'PLD4226DPP-5-887', 'PLD4226DPP-5-890', 'PLD4226DPP-7-530', 'PLD4226DPP-7-683', 'PLD4226DPP-7-685', 'PLD4226DPP-7-531', 'PLD4226DPP-7-679', 'PLD4226DPP-7-702', 'PLD4226DPP-7-703', 'PLD4226DPP-7-700', 'PLD4226DPP-7-701', 'PLD4226DPP-5-705', 'PLD4226DPP-5-704', 'PLD4226DPP-5-703', 'PLD4226DPP-5-702', 'PLD4226DPP-5-819', 'PLD4226DPP-5-812', 'PLD4226DPP-5-802', 'PLD4226DPP-5-706', 'PLD4226DPP-5-854', 'PLD4226DPP-5-845', 'PLD4226DPP-5-837', 'PLD4226DPP-5-831', 'PLD4226DPP-5-885', 'PLD4226DPP-5-878', 'PLD4226DPP-5-876', 'PLD4226DPP-5-856', 'PLD4226DPP-7-892', 'PLD4226DPP-7-897', 'PLD4226DPP-8-530', 'PLD4226DPP-8-531', 'PLD4226DPP-8-679', 'PLD4226DPP-8-683', 'PLD4226DPP-8-685', 'PLD4226DPP-8-700', 'PLD4226DPP-8-701', 'PLD4226DPP-8-702', 'PLD4226DPP-8-703', 'PLD4226DPP-8-704', 'PLD4226DPP-8-705', 'PLD4226DPP-7-705', 'PLD4226DPP-7-704', 'PLD4226DPP-7-802', 'PLD4226DPP-7-706', 'PLD4226DPP-7-819', 'PLD4226DPP-7-812', 'PLD4226DPP-7-837', 'PLD4226DPP-7-831', 'PLD4226DPP-7-854', 'PLD4226DPP-7-845', 'PLD4226DPP-7-876', 'PLD4226DPP-7-856', 'PLD4226DPP-7-885', 'PLD4226DPP-7-878', 'PLD4226DPP-7-890', 'PLD4226DPP-7-887', 'PLD4226DPP-2-892', 'PLD4226DPP-2-897', 'PLD4226DPP-2-887', 'PLD4226DPP-2-890', 'PLD4226DPP-2-878', 'PLD4226DPP-2-885', 'PLD4226DPP-2-856', 'PLD4226DPP-2-876', 'PLD4226DPP-4-683', 'PLD4226DPP-4-685', 'PLD4226DPP-4-531', 'PLD4226DPP-4-679', 'PLD4226DPP-4-530', 'PLD4226DPP-2-705', 'PLD4226DPP-2-704', 'PLD4226DPP-2-703', 'PLD4226DPP-2-702', 'PLD4226DPP-2-701', 'PLD4226DPP-2-700', 'PLD4226DPP-2-685', 'PLD4226DPP-2-683', 'PLD4226DPP-2-854', 'PLD4226DPP-2-845', 'PLD4226DPP-2-837', 'PLD4226DPP-2-831', 'PLD4226DPP-2-819', 'PLD4226DPP-2-812', 'PLD4226DPP-2-802', 'PLD4226DPP-2-706', 'PLD4226DPP-4-892', 'PLD4226DPP-4-897', 'PLD4226DPP-4-878', 'PLD4226DPP-4-885', 'PLD4226DPP-4-887', 'PLD4226DPP-4-890', 'PLD4226DPP-5-683', 'PLD4226DPP-5-685', 'PLD4226DPP-5-700', 'PLD4226DPP-5-701', 'PLD4226DPP-5-530', 'PLD4226DPP-5-531', 'PLD4226DPP-5-679', 'PLD4226DPP-4-705', 'PLD4226DPP-4-704', 'PLD4226DPP-4-802', 'PLD4226DPP-4-706', 'PLD4226DPP-4-701', 'PLD4226DPP-4-700', 'PLD4226DPP-4-703', 'PLD4226DPP-4-702', 'PLD4226DPP-4-854', 'PLD4226DPP-4-845', 'PLD4226DPP-4-876', 'PLD4226DPP-4-856', 'PLD4226DPP-4-819', 'PLD4226DPP-4-812', 'PLD4226DPP-4-837', 'PLD4226DPP-4-831', 'PLD4226DPP-2-530', 'PLD4226DPP-2-679', 'PLD4226DPP-2-531', 'PLD5438DPP-5-683', 'PLD5438DPP-5-685', 'PLD5438DPP-5-531', 'PLD5438DPP-5-679', 'PLD5438DPP-5-702', 'PLD5438DPP-5-703', 'PLD5438DPP-5-700', 'PLD5438DPP-5-701', 'PLD5438DPP-5-706', 'PLD5438DPP-5-802', 'PLD5438DPP-5-704', 'PLD5438DPP-5-705', 'PLD5438DPP-5-831', 'PLD5438DPP-5-837', 'PLD5438DPP-5-812', 'PLD5438DPP-5-819', 'PLD5438DPP-5-876', 'PLD5438DPP-5-856', 'PLD5438DPP-5-854', 'PLD5438DPP-5-845', 'PLD5438DPP-5-890', 'PLD5438DPP-5-887', 'PLD5438DPP-5-885', 'PLD5438DPP-5-878', 'PLD5438DPP-5-897', 'PLD5438DPP-5-892', 'PLD5438DPP-7-679', 'PLD5438DPP-7-531', 'PLD5438DPP-7-530', 'PLD5438DPP-4-530', 'PLD5438DPP-4-531', 'PLD5438DPP-4-679', 'PLD5438DPP-4-683', 'PLD5438DPP-4-685', 'PLD5438DPP-4-700', 'PLD5438DPP-4-701', 'PLD5438DPP-4-702', 'PLD5438DPP-4-703', 'PLD5438DPP-4-704', 'PLD5438DPP-4-705', 'PLD5438DPP-4-706', 'PLD5438DPP-4-802', 'PLD5438DPP-4-812', 'PLD5438DPP-4-819', 'PLD5438DPP-4-837', 'PLD5438DPP-4-831', 'PLD5438DPP-4-854', 'PLD5438DPP-4-845', 'PLD5438DPP-4-876', 'PLD5438DPP-4-856', 'PLD5438DPP-4-885', 'PLD5438DPP-4-878', 'PLD5438DPP-4-890', 'PLD5438DPP-4-887', 'PLD5438DPP-4-897', 'PLD5438DPP-4-892', 'PLD5438DPP-5-530',
'PLD5438DPP
None
the final sku in there PLD5438DPP should be PLD5438DPP-5-683 and for some reason the list cuts off there, which is only element 564/85,892, and the program terminates without an error code
I cannot attach the file of skus, this is for my job, just hoping someone can shed light on what I am doing to cause the list to cut short like that
this may or may not also be relevant but when I call .append(sku) as opposed to sku[1] and grab the whole tuple the same issue occurs but at element 292, exactly half of the amount of element appended when only doing half the tuple

The issue seems to be one on my local machine, where it was unable to print such a long list, this one was of size 85,892
for those with similar issues see if any of our specs are overlapping and that may determine the cause of this issue:
VSCode:
Version: 1.52.0 (user setup)
Commit: 940b5f4bb5fa47866a54529ed759d95d09ee80be
Date: 2020-12-10T22:45:11.850Z
Electron: 9.3.5
Chrome: 83.0.4103.122
Node.js: 12.14.1
V8: 8.3.110.13-electron.0
OS: Windows_NT x64 10.0.18363
Python:
3.9.0
see discussion in comments for other details

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Storing list of list in sql database

I wanted to store list of list consisting of longitude & latitude in the database. Any instinct, on how can I do that.
For example I have to store data such as:[[77.714062, 12.967682], [77.714082, 12.967675], [77.714158, 12.967664], [77.71422, 12.967658], [77.714323, 12.967648], [77.715087, 12.967576], [77.715514, 12.967572], [77.716038, 12.96755], [77.716238, 12.967524], [77.716321, 12.967514], [77.716301, 12.967425], [77.716203, 12.967444], [77.716054, 12.967465], [77.715734, 12.967485], [77.715441, 12.967491], [77.715077, 12.967513], [77.714525, 12.967558], [77.714095, 12.967591], [77.714008, 12.967615], [77.713854, 12.967674], [77.713676, 12.967811], [77.713543, 12.967957], [77.713464, 12.968085], [77.713431, 12.968147], [77.713353, 12.968296], [77.713019, 12.968976], [77.712813, 12.969461], [77.712696, 12.969716], [77.712578, 12.970003], [77.712469, 12.970261], [77.712348, 12.970558], [77.712265, 12.970778], [77.712171, 12.971033], [77.712062, 12.971312], [77.711966, 12.971566], [77.711862, 12.971841], [77.711673, 12.972352], [77.711256, 12.973533], [77.710798, 12.974761], [77.710674, 12.975076], [77.710094, 12.97655], [77.709591, 12.977998], [77.709571, 12.978068], [77.709549, 12.978142], [77.709031, 12.979735], [77.708906, 12.980173], [77.708657, 12.980959], [77.708422, 12.981816], [77.708281, 12.982341], [77.708203, 12.982756], [77.708163, 12.98343], [77.708155, 12.984047], [77.708166, 12.984277], [77.708173, 12.984421], [77.708129, 12.984937], [77.708099, 12.985114], [77.708074, 12.985224], [77.707273, 12.988019], [77.706995, 12.988926], [77.706744, 12.989707], [77.706739, 12.989725], [77.706696, 12.989853], [77.706423, 12.990738], [77.706396, 12.990826], [77.706333, 12.99107], [77.706064, 12.991884], [77.706017, 12.992026], [77.705785, 12.992726], [77.705758, 12.992927], [77.705727, 12.992927], [77.705677, 12.992928], [77.705644, 12.992929], [77.705536, 12.992931], [77.705052, 12.992964], [77.704915, 12.992993], [77.704834, 12.99301], [77.704443, 12.993128], [77.704112, 12.993226], [77.703465, 12.993403], [77.703391, 12.993419], [77.703423, 12.993556], [77.704126, 12.993377], [77.704873, 12.993162], [77.705104, 12.99311], [77.705253, 12.993086], [77.705708, 12.993053], [77.705748, 12.993053], [77.705782, 12.993052], [77.705832, 12.993051], [77.70591, 12.993047], [77.707049, 12.992987], [77.707795, 12.992966], [77.708993, 12.992932], [77.709264, 12.992924], [77.710051, 12.992914], [77.710562, 12.992884], [77.710827, 12.992852], [77.710956, 12.992821], [77.71114, 12.992765], [77.711552, 12.992681], [77.712168, 12.992525], [77.713555, 12.992054], [77.713646, 12.992019], [77.714037, 12.991891], [77.714192, 12.99186], [77.714306, 12.991857], [77.714368, 12.991858], [77.714406, 12.991859], [77.714731, 12.991925], [77.71502, 12.991994], [77.715271, 12.992055], [77.715769, 12.992159], [77.716042, 12.992263], [77.716182, 12.992391], [77.716387, 12.992618], [77.716638, 12.99291], [77.716657, 12.992932], [77.717007, 12.993288], [77.717035, 12.993324], [77.717229, 12.993574], [77.717269, 12.993626], [77.717485, 12.993938], [77.7176, 12.994103], [77.717673, 12.99432], [77.717745, 12.994532], [77.717796, 12.994611], [77.717868, 12.994722], [77.717917, 12.994798], [77.717956, 12.995009], [77.717977, 12.995273], [77.717979, 12.995631], [77.717988, 12.99583], [77.717924, 12.99608], [77.717421, 12.996944], [77.717344, 12.997164], [77.717319, 12.997359], [77.717309, 12.99759], [77.717324, 12.997835], [77.717382, 12.998641], [77.717333, 12.998791], [77.717288, 12.998846], [77.717213, 12.998847], [77.717044, 12.998852], [77.716964, 12.998854], [77.716617, 12.998836], [77.716457, 12.998842], [77.716309, 12.998882], [77.716133, 12.998948], [77.71559, 12.999241], [77.715226, 12.999437], [77.714697, 12.999722], [77.714621, 12.999914], [77.714556, 13.000808], [77.714535, 13.001097], [77.714483, 13.001808], [77.714387, 13.001928], [77.713399, 13.002112], [77.712552, 13.002321], [77.712406, 13.002413], [77.712412, 13.002572], [77.712514, 13.002797], [77.712601, 13.00299], [77.71266, 13.00312], [77.712681, 13.003165], [77.712678, 13.00338], [77.712663, 13.003709], [77.712678, 13.004095], [77.712669, 13.004161], [77.712672, 13.004371], [77.712678, 13.004504], [77.712146, 13.004444], [77.711826, 13.004403], [77.711527, 13.004365], [77.711499, 13.004362], [77.711296, 13.004357], [77.711202, 13.004354], [77.710916, 13.004353], [77.710584, 13.004328], [77.710548, 13.004323], [77.710489, 13.00432], [77.710314, 13.00431], [77.709984, 13.004288], [77.710007, 13.00456], [77.710032, 13.00487], [77.710073, 13.005374], [77.710059, 13.005603], [77.709962, 13.005865], [77.709596, 13.006614], [77.709433, 13.007059], [77.709369, 13.007379], [77.709372, 13.007579], [77.709373, 13.007641], [77.709382, 13.007846], [77.709431, 13.008162], [77.709456, 13.008514], [77.709569, 13.00896], [77.709799, 13.009639], [77.709821, 13.009702], [77.709927, 13.010083], [77.709955, 13.010183], [77.709996, 13.010318], [77.710077, 13.010582], [77.710054, 13.010778], [77.710043, 13.010876], [77.710031, 13.010983], [77.71, 13.011126], [77.709928, 13.011508], [77.709926, 13.011522], [77.709877, 13.011984], [77.709635, 13.013524], [77.709597, 13.013883], [77.709562, 13.014052], [77.709512, 13.014471], [77.709453, 13.014936], [77.709403, 13.015329], [77.709376, 13.015537], [77.709359, 13.015692], [77.709308, 13.015886], [77.709273, 13.016166], [77.709168, 13.016768], [77.709047, 13.017502], [77.70891, 13.018152], [77.708829, 13.018535], [77.708689, 13.019078], [77.708598, 13.019295], [77.708521, 13.019382], [77.708462, 13.019483], [77.709847, 13.020261], [77.714061, 13.022766], [77.715638, 13.0236], [77.715776, 13.023677], [77.715685, 13.023773], [77.715992, 13.023914], [77.716709, 13.024325], [77.716771, 13.024363], [77.717482, 13.024797], [77.717799, 13.024968], [77.718089, 13.025125], [77.718356, 13.025268], [77.719608, 13.025943], [77.720323, 13.026334], [77.720377, 13.026363], [77.720346, 13.026559], [77.720298, 13.026869], [77.720277, 13.026974], [77.720256, 13.027077], [77.720256, 13.027336], [77.720335, 13.027333], [77.720334, 13.027407], [77.720348, 13.027611], [77.720381, 13.027753], [77.720404, 13.027766], [77.720574, 13.027758], [77.720629, 13.02783]] as a single entry.``` Any reply will be appreciated. Thanks in advance.

There is no direct and natural way to store a list of list in the general case. But here you have not a arbitral list of list but a list (arbitrary length) of lists of 2 elements, a latitude and a longitude. Then if you create a table containing one column for each sublist element if will be trivial.
Assuming con is a connection to your SQLite database, and data your list of (2 element) lists:
curs = con.cursor()
curs.execute("CREATE TABLE coord(long REAL, lat REAL)")
curs.executemany("INSERT INTO coord(long, lat) VALUES(?,?)", data)

Assuming you are using sqllite package in Python. just save the string to a variable and insert it like this:
my_list = [[77.717044, 12.998852], [77.716964, 12.998854]...] # not correct but you get the point
con.execute("insert into MY_TABLE (LIST_COLUMN) values (?)",
(my_list))
where con is your connection object.

One solution is to create a table with lat and long columns. Then insert each sublist as a row in the database.

I see two ways to achieve this (I prefer way 1):
Convert the list to a numpy array and store as a BLOB (data object).
con.execute("INSERT INTO MY_TABLE (List_Object) values (?)", (np.array(my_list).to_bytes()))
and load it back
np.frombuffer(np.array(a).tobytes(), dtype=np.float64).reshape(-1, 2).tolist()
Convert to string and store as text. (convert with str() or json)

How to convert independent output lists to a dataframe

Hope you are having a great weekend. My problem is as follows:
For my designed model i am getting the following predictions:
[0.3182012736797333, 0.6817986965179443, 0.5067878365516663, 0.49321213364601135, 0.4795221984386444, 0.520477831363678, 0.532780110836029, 0.46721988916397095, 0.3282901346683502, 0.6717098355293274]
[0.362120658159256, 0.6378793120384216, 0.5134761929512024, 0.4865237772464752, 0.46048662066459656, 0.539513349533081, 0.5342788100242615, 0.4657211899757385, 0.34932515025138855, 0.6506748199462891]
[0.3647380471229553, 0.6352618932723999, 0.5087167620658875, 0.49128326773643494, 0.4709164798259735, 0.5290834903717041, 0.5408024787902832, 0.4591975510120392, 0.37024226784706116, 0.6297577023506165]
[0.43765324354171753, 0.5623468160629272, 0.505147397518158, 0.49485257267951965, 0.45281311869621277, 0.5471869111061096, 0.5416161417961121, 0.45838382840156555, 0.3789178133010864, 0.6210821866989136]
[0.44772887229919434, 0.5522711277008057, 0.5119441151618958, 0.48805591464042664, 0.46322566270828247, 0.5367743372917175, 0.5402485132217407, 0.45975151658058167, 0.4145151972770691, 0.5854847431182861]
[0.35674020648002625, 0.6432597637176514, 0.48104971647262573, 0.5189502835273743, 0.4554695188999176, 0.54453045129776, 0.5409557223320007, 0.45904430747032166, 0.3258989453315735, 0.6741010546684265]
[0.3909384310245514, 0.609061598777771, 0.4915180504322052, 0.5084819793701172, 0.45033228397369385, 0.5496677160263062, 0.5267384052276611, 0.47326159477233887, 0.34493446350097656, 0.6550655364990234]
[0.32971733808517456, 0.6702827215194702, 0.5224012732505798, 0.47759872674942017, 0.4692566692829132, 0.5307433605194092, 0.5360044836997986, 0.4639955163002014, 0.41811054944992065, 0.5818894505500793]
[0.37096619606018066, 0.6290338039398193, 0.5165190100669861, 0.4834809899330139, 0.4739859998226166, 0.526013970375061, 0.5340168476104736, 0.46598318219184875, 0.3438771069049835, 0.6561229228973389]
[0.4189890921115875, 0.5810109376907349, 0.52749103307724, 0.47250890731811523, 0.44485437870025635, 0.5551456212997437, 0.5398098230361938, 0.46019014716148376, 0.3739124536514282, 0.6260875463485718]
[0.3979812562465668, 0.6020187139511108, 0.5050275325775146, 0.49497246742248535, 0.4653399884700775, 0.5346599817276001, 0.537341833114624, 0.4626581072807312, 0.33742010593414307, 0.6625799536705017]
[0.368088960647583, 0.631911039352417, 0.49925288558006287, 0.5007471442222595, 0.4547160863876343, 0.545283854007721, 0.5408452749252319, 0.45915472507476807, 0.4053747355937958, 0.5946252346038818]
As you can see they are independent lists. I want to convert these lists into a dataframe. Although they are independent, they are coming out of a for loop, so i cannot append them because they are not coming at once.

Use:
data = [[0.3182012736797333, 0.6817986965179443, 0.5067878365516663, 0.49321213364601135, 0.4795221984386444, 0.520477831363678, 0.532780110836029, 0.46721988916397095, 0.3282901346683502, 0.6717098355293274],
[0.362120658159256, 0.6378793120384216, 0.5134761929512024, 0.4865237772464752, 0.46048662066459656, 0.539513349533081, 0.5342788100242615, 0.4657211899757385, 0.34932515025138855, 0.6506748199462891],
[0.3647380471229553, 0.6352618932723999, 0.5087167620658875, 0.49128326773643494, 0.4709164798259735, 0.5290834903717041, 0.5408024787902832, 0.4591975510120392, 0.37024226784706116, 0.6297577023506165],
[0.43765324354171753, 0.5623468160629272, 0.505147397518158, 0.49485257267951965, 0.45281311869621277, 0.5471869111061096, 0.5416161417961121, 0.45838382840156555, 0.3789178133010864, 0.6210821866989136],
[0.44772887229919434, 0.5522711277008057, 0.5119441151618958, 0.48805591464042664, 0.46322566270828247, 0.5367743372917175, 0.5402485132217407, 0.45975151658058167, 0.4145151972770691, 0.5854847431182861],
[0.35674020648002625, 0.6432597637176514, 0.48104971647262573, 0.5189502835273743, 0.4554695188999176, 0.54453045129776, 0.5409557223320007, 0.45904430747032166, 0.3258989453315735, 0.6741010546684265],
[0.3909384310245514, 0.609061598777771, 0.4915180504322052, 0.5084819793701172, 0.45033228397369385, 0.5496677160263062, 0.5267384052276611, 0.47326159477233887, 0.34493446350097656, 0.6550655364990234],
[0.32971733808517456, 0.6702827215194702, 0.5224012732505798, 0.47759872674942017, 0.4692566692829132, 0.5307433605194092, 0.5360044836997986, 0.4639955163002014, 0.41811054944992065, 0.5818894505500793],
[0.37096619606018066, 0.6290338039398193, 0.5165190100669861, 0.4834809899330139, 0.4739859998226166, 0.526013970375061, 0.5340168476104736, 0.46598318219184875, 0.3438771069049835, 0.6561229228973389],
[0.4189890921115875, 0.5810109376907349, 0.52749103307724, 0.47250890731811523, 0.44485437870025635, 0.5551456212997437, 0.5398098230361938, 0.46019014716148376, 0.3739124536514282, 0.6260875463485718],
[0.3979812562465668, 0.6020187139511108, 0.5050275325775146, 0.49497246742248535, 0.4653399884700775, 0.5346599817276001, 0.537341833114624, 0.4626581072807312, 0.33742010593414307, 0.6625799536705017],
[0.368088960647583, 0.631911039352417, 0.49925288558006287, 0.5007471442222595, 0.4547160863876343, 0.545283854007721, 0.5408452749252319, 0.45915472507476807, 0.4053747355937958, 0.5946252346038818]]
# Create this before your for loop
df = pd.DataFrame(columns = range(10))
for pred_list in data:
#Add this within your for loop
df = df.append(pd.Series(pred_list), ignore_index=True)
output:

Python: Split sound file by transients

I wrote some functions that analyze a sound file, and are supposed to separate that sound file by it's transients(each time the sound in the file abruptly changes). You can listen the sound file in slow motion here to understand what I mean further.
def transients_from_onsets(onset_samples):
"""Takes a list of onset times for an audio file and returns the list of start and stop times for that audio file
Args:
onset_samples ([int]): I don't really know what these are actually. I thought they were start times for each sound change but I don't know
Returns:
[(int, int)]: A list of start and stop times for each sound change
"""
starts = onset_samples[0:-1]
stops = onset_samples[1:]
transientTimes = []
for s in range(len(starts)):
transientTimes.append((starts[s], stops[s]))
return transientTimes
def transients_from_sound_file(fileName, sr=44100):
"""Takes the path to an audio file
and returns the list of start and stop times for that audio file
as a frame rate
Args:
fileName (string): The path to an audio file
sr (int, optional): The sample rate of the audio file. Defaults to 44100.
Returns:
[(int, int)]: A list of start and stop times for each sound change
"""
y, sr = librosa.load(soundFile, sr=sr)
C = np.abs(librosa.cqt(y=y, sr=sr))
o_env = librosa.onset.onset_strength(sr=sr, S=librosa.amplitude_to_db(C, ref=np.max))
onset_frames = librosa.onset.onset_detect(onset_envelope=o_env, sr=sr)
onset_samples = list(librosa.frames_to_samples(onset_frames))
onset_samples = np.concatenate(onset_samples, len(y))
transientTimes = transients_from_onsets(onset_samples)
return transientTimes, transientSamples
The one I wrote works ok, but it's a little bit off what it should be, and some sounds are being split into 2 when they should only be one. Below I have the results that my program puts out, and the expected results. I'm wondering how I can get my results to look more like the expected results.
These are the start and stop times of each sound(transient) as determined by my program, followed by a link to the sound files created when the original sound file is split by these start and stop times
in frames: [(1536, 6144), (6144, 11264), (11264, 15360), (15360, 20992), (20992, 26624), (26624, 31744), (31744, 36352), (36352, 41984), (41984, 47104), (47104, 51712), (51712, 56832), (56832, 61440), (61440, 62976), (62976, 66560), (66560, 71680), (71680, 76800), (76800, 82944), (82944, 89088), (89088, 92672), (92672, 96768), (96768, 98304), (98304, 103936), (103936, 107008), (107008, 113664), (113664, 117760), (117760, 123904), (123904, 128512), (128512, 139264), (139264, 147968), (147968, 150016), (150016, 153088), (153088, 154624), (154624, 159232), (159232, 164864), (164864, 169472), (169472, 175616), (175616, 179200), (179200, 180736), (180736, 189440), (189440, 196096)]
in time: [(0.03566585034013605, 0.1426634013605442), (0.1426634013605442, 0.26154956916099775), (0.26154956916099775, 0.3566585034013605), (0.3566585034013605, 0.4874332879818594), (0.4874332879818594, 0.6182080725623583), (0.6182080725623583, 0.7370942403628118), (0.7370942403628118, 0.84409179138322), (0.84409179138322, 0.9748665759637188), (0.9748665759637188, 1.0937527437641723), (1.0937527437641723, 1.2007502947845805), (1.2007502947845805, 1.319636462585034), (1.319636462585034, 1.426634013605442), (1.426634013605442, 1.4622998639455782), (1.4622998639455782, 1.5455201814058959), (1.5455201814058959, 1.6644063492063492), (1.6644063492063492, 1.7832925170068026), (1.7832925170068026, 1.925955918367347), (1.925955918367347, 2.0686193197278913), (2.0686193197278913, 2.1518396371882087), (2.1518396371882087, 2.2469485714285717), (2.2469485714285717, 2.282614421768707), (2.282614421768707, 2.413389206349206), (2.413389206349206, 2.4847209070294785), (2.4847209070294785, 2.639272925170068), (2.639272925170068, 2.7343818594104308), (2.7343818594104308, 2.877045260770975), (2.877045260770975, 2.9840428117913835), (2.9840428117913835, 3.2337037641723354), (3.2337037641723354, 3.4358102494331066), (3.4358102494331066, 3.483364716553288), (3.483364716553288, 3.55469641723356), (3.55469641723356, 3.590362267573696), (3.590362267573696, 3.697359818594104), (3.697359818594104, 3.8281346031746035), (3.8281346031746035, 3.9351321541950113), (3.9351321541950113, 4.077795555555555), (4.077795555555555, 4.161015873015873), (4.161015873015873, 4.196681723356009), (4.196681723356009, 4.39878820861678), (4.39878820861678, 4.553340226757369)]
sound files
And these are what the start and stop times should be
in frames: [(2067, 6431), (6431, 10795), (10795, 15389), (15389, 25495), (25495, 28940), (28940, 33534), (33534, 38587), (38587, 43640), (43640, 47085), (47085, 51679), (51679, 55814), (55814, 60867), (60867, 65231), (65231, 69595), (69595, 75337), (75337, 79931), (79931, 83606), (83606, 87740), (87740, 96928), (96928, 101521), (101521, 105885), (105885, 110479), (110479, 115073), (115073, 124031), (124031, 133218), (133218, 137353), (137353, 142176), (142176, 147229), (147229, 152282), (152282, 155728), (155728, 160321), (160321, 169739)]
in time: [(0.0479956462585034, 0.1493275283446712), (0.1493275283446712, 0.250659410430839), (0.250659410430839, 0.3573318820861678), (0.3573318820861678, 0.5919927437641723), (0.5919927437641723, 0.6719854875283447), (0.6719854875283447, 0.7786579591836735), (0.7786579591836735, 0.8959883900226757), (0.8959883900226757, 1.013318820861678), (1.013318820861678, 1.0933115646258504), (1.0933115646258504, 1.1999840362811791), (1.1999840362811791, 1.2959985487528345), (1.2959985487528345, 1.4133289795918367), (1.4133289795918367, 1.5146608616780044), (1.5146608616780044, 1.6159927437641723), (1.6159927437641723, 1.749321723356009), (1.749321723356009, 1.8559941950113379), (1.8559941950113379, 1.9413275283446711), (1.9413275283446711, 2.037318820861678), (2.037318820861678, 2.2506637641723355), (2.2506637641723355, 2.357313015873016), (2.357313015873016, 2.4586448979591835), (2.4586448979591835, 2.565317369614512), (2.565317369614512, 2.6719898412698413), (2.6719898412698413, 2.879994195011338), (2.879994195011338, 3.093315918367347), (3.093315918367347, 3.1893304308390027), (3.1893304308390027, 3.3013202721088435), (3.3013202721088435, 3.4186507029478457), (3.4186507029478457, 3.5359811337868483), (3.5359811337868483, 3.615997097505669), (3.615997097505669, 3.722646349206349), (3.722646349206349, 3.9413318820861676)]
sound files

How to get a certain value from a text file

I want to get a value from an API. However I am unable to tell Python what I want to do.
This is my current code:
response = requests.get('https://sms-service-online.com/api/getServicesAndCost/?country=0&operator=any&lang=en')
data = response.json()
plain = data["data"]
However the data which I want to display in my script is in the ["data"] part of the json. It is kind of a json inside a json.
For example: with
print(plain)
I would recieve this data:
[{"cost":"0.45","id":0,"servise":"VK.com","serviseImg":"bg-vk","number":"Numbers: 3047","value":"vk"},{"cost":"0.07","id":1,"servise":"OK.ru","serviseImg":"bg-ok","number":"Numbers: 14397","value":"ok"},{"cost":"0.15","id":2,"servise":"Whatsapp","serviseImg":"bg-wa","number":"Numbers: 17610","value":"wa"},{"cost":"0.18","id":3,"servise":"Viber","serviseImg":"bg-vi","number":"Numbers: 413","value":"vi"},{"cost":"0.00","id":4,"servise":"Telegram","serviseImg":"bg-tg","number":"Numbers: 0","value":"tg"},{"cost":"0.30","id":5,"servise":"WeChat","serviseImg":"bg-wb","number":"Numbers: 28389","value":"wb"},{"cost":"0.15","id":6,"servise":"Google,youtube,Gmail","serviseImg":"bg-go","number":"Numbers: 15419","value":"go"},{"cost":"0.11","id":7,"servise":"avito","serviseImg":"bg-av","number":"Numbers: 17379","value":"av"},{"cost":"0.07","id":8,"servise":"facebook","serviseImg":"bg-fb","number":"Numbers: 21636","value":"fb"},{"cost":"0.03","id":9,"servise":"Twitter","serviseImg":"bg-tw","number":"Numbers: 26864","value":"tw"},{"cost":"0.05","id":10,"servise":"Uber","serviseImg":"bg-ub","number":"Numbers: 20975","value":"ub"},{"cost":"0.22","id":11,"servise":"Qiwi","serviseImg":"bg-qw","number":"Numbers: 20371","value":"qw"},{"cost":"0.02","id":12,"servise":"Gett","serviseImg":"bg-gt","number":"Numbers: 28501","value":"gt"},{"cost":"0.00","id":13,"servise":"OLX","serviseImg":"bg-sn","number":"Numbers: 0","value":"sn"},{"cost":"0.14","id":14,"servise":"Instagram","serviseImg":"bg-ig","number":"Numbers: 3799","value":"ig"},{"cost":"0.00","id":15,"servise":"Hezzl","serviseImg":"bg-ss","number":"Numbers: 0","value":"ss"},{"cost":"0.07","id":16,"servise":"\u042e\u043b\u0430","serviseImg":"bg-ym","number":"Numbers: 17597","value":"ym"},{"cost":"0.03","id":17,"servise":"Mail.ru","serviseImg":"bg-ma","number":"Numbers: 17936","value":"ma"},{"cost":"0.03","id":18,"servise":"Microsoft","serviseImg":"bg-mm","number":"Numbers: 3830","value":"mm"},{"cost":"0.03","id":19,"servise":"Airbnb","serviseImg":"bg-uk","number":"Numbers: 28266","value":"uk"},{"cost":"0.00","id":20,"servise":"Line messenger","serviseImg":"bg-me","number":"Numbers: 0","value":"me"},{"cost":"0.03","id":21,"servise":"Yahoo","serviseImg":"bg-mb","number":"Numbers: 19077","value":"mb"},{"cost":"0.00","id":22,"servise":"Drugvokrug.ru","serviseImg":"bg-we","number":"Numbers: 0","value":"we"},{"cost":"0.05","id":23,"servise":"5ka.ru","serviseImg":"bg-bd","number":"Numbers: 27541","value":"bd"},{"cost":"0.00","id":24,"servise":"HQ Trivia","serviseImg":"bg-kp","number":"Numbers: 0","value":"kp"},{"cost":"0.65","id":25,"servise":"Delivery Club","serviseImg":"bg-dt","number":"Numbers: 26812","value":"dt"},{"cost":"0.03","id":26,"servise":"Yandex","serviseImg":"bg-ya","number":"Numbers: 20944","value":"ya"},{"cost":"0.05","id":27,"servise":"Steam","serviseImg":"bg-mt","number":"Numbers: 28121","value":"mt"},{"cost":"0.04","id":28,"servise":"Tinder","serviseImg":"bg-oi","number":"Numbers: 27478","value":"oi"},{"cost":"0.02","id":29,"servise":"Mamba, MeetMe","serviseImg":"bg-fd","number":"Numbers: 25328","value":"fd"},{"cost":"0.00","id":30,"servise":"Dent","serviseImg":"bg-zz","number":"Numbers: 0","value":"zz"},{"cost":"0.07","id":31,"servise":"KakaoTalk","serviseImg":"bg-kt","number":"Numbers: 27823","value":"kt"},{"cost":"0.04","id":32,"servise":"AOL","serviseImg":"bg-pm","number":"Numbers: 23369","value":"pm"},{"cost":"0.02","id":33,"servise":"LinkedIN","serviseImg":"bg-tn","number":"Numbers: 32192","value":"tn"},{"cost":"0.03","id":34,"servise":"Tencent QQ","serviseImg":"bg-qq","number":"Numbers: 27883","value":"qq"},{"cost":"0.06","id":35,"servise":"Magnit","serviseImg":"bg-mg","number":"Numbers: 993","value":"mg"},{"cost":"0.00","id":36,"servise":"pof.com","serviseImg":"bg-pf","number":"Numbers: 0","value":"pf"},{"cost":"0.03","id":37,"servise":"Yalla","serviseImg":"bg-yl","number":"Numbers: 27822","value":"yl"},{"cost":"0.00","id":38,"servise":"kolesa.kz","serviseImg":"bg-kl","number":"Numbers: 0","value":"kl"},{"cost":"0.03","id":39,"servise":"premium.one","serviseImg":"bg-po","number":"Numbers: 25869","value":"po"},{"cost":"0.07","id":40,"servise":"Naver","serviseImg":"bg-nv","number":"Numbers: 27582","value":"nv"},{"cost":"0.03","id":41,"servise":"Netflix","serviseImg":"bg-nf","number":"Numbers: 27715","value":"nf"},{"cost":"0.00","id":42,"servise":"icq","serviseImg":"bg-iq","number":"Numbers: 0","value":"iq"},{"cost":"0.00","id":43,"servise":"Onlinerby","serviseImg":"bg-ob","number":"Numbers: 0","value":"ob"},{"cost":"0.00","id":44,"servise":"kufarby","serviseImg":"bg-kb","number":"Numbers: 0","value":"kb"},{"cost":"0.03","id":45,"servise":"Imo","serviseImg":"bg-im","number":"Numbers: 25198","value":"im"},{"cost":"0.00","id":46,"servise":"Michat","serviseImg":"bg-mc","number":"Numbers: 0","value":"mc"},{"cost":"0.03","id":47,"servise":"Discord","serviseImg":"bg-ds","number":"Numbers: 22011","value":"ds"},{"cost":"0.00","id":48,"servise":"Seosprint","serviseImg":"bg-vv","number":"Numbers: 0","value":"vv"},{"cost":"0.00","id":49,"servise":"Monobank","serviseImg":"bg-ji","number":"Numbers: 0","value":"ji"},{"cost":"0.03","id":50,"servise":"TikTok\/Douyin","serviseImg":"bg-lf","number":"Numbers: 26299","value":"lf"},{"cost":"0.00","id":51,"servise":"Ukrnet","serviseImg":"bg-hu","number":"Numbers: 0","value":"hu"},{"cost":"0.00","id":52,"servise":"Skout","serviseImg":"bg-wg","number":"Numbers: 0","value":"wg"},{"cost":"0.00","id":53,"servise":"EasyPay","serviseImg":"bg-rz","number":"Numbers: 0","value":"rz"},{"cost":"0.00","id":54,"servise":"Q12 Trivia","serviseImg":"bg-vf","number":"Numbers: 0","value":"vf"},{"cost":"0.00","id":55,"servise":"Pyro Music","serviseImg":"bg-ny","number":"Numbers: 0","value":"ny"},{"cost":"0.00","id":56,"servise":"Wolt","serviseImg":"bg-rr","number":"Numbers: 0","value":"rr"},{"cost":"0.00","id":57,"servise":"CliQQ","serviseImg":"bg-fe","number":"Numbers: 0","value":"fe"},{"cost":"0.00","id":58,"servise":"ssoidnet","serviseImg":"bg-la","number":"Numbers: 0","value":"la"},{"cost":"0.00","id":59,"servise":"Zoho","serviseImg":"bg-zh","number":"Numbers: 0","value":"zh"},{"cost":"0.00","id":60,"servise":"Ticketmaster","serviseImg":"bg-gp","number":"Numbers: 0","value":"gp"},{"cost":"0.05","id":61,"servise":"Amazon","serviseImg":"bg-am","number":"Numbers: 25313","value":"am"},{"cost":"0.00","id":62,"servise":"Olacabs","serviseImg":"bg-ly","number":"Numbers: 0","value":"ly"},{"cost":"0.00","id":63,"servise":"Rambler","serviseImg":"bg-tc","number":"Numbers: 0","value":"tc"},{"cost":"0.02","id":64,"servise":"ProtonMail","serviseImg":"bg-dp","number":"Numbers: 30668","value":"dp"},{"cost":"0.00","id":65,"servise":"NRJ Music Awards","serviseImg":"bg-pg","number":"Numbers: 0","value":"pg"},{"cost":"0.03","id":66,"servise":"Citymobil","serviseImg":"bg-yf","number":"Numbers: 26997","value":"yf"},{"cost":"0.00","id":67,"servise":"MIRATORG","serviseImg":"bg-op","number":"Numbers: 0","value":"op"},{"cost":"0.03","id":68,"servise":"PGbonus","serviseImg":"bg-fx","number":"Numbers: 27563","value":"fx"},{"cost":"0.03","id":69,"servise":"MEGA","serviseImg":"bg-qr","number":"Numbers: 27848","value":"qr"},{"cost":"0.03","id":70,"servise":"SportMaster","serviseImg":"bg-yk","number":"Numbers: 26584","value":"yk"},{"cost":"0.03","id":71,"servise":"Careem","serviseImg":"bg-ls","number":"Numbers: 27873","value":"ls"},{"cost":"0.03","id":72,"servise":"BIGO LIVE","serviseImg":"bg-bl","number":"Numbers: 25421","value":"bl"},{"cost":"0.03","id":73,"servise":"MyMusicTaste","serviseImg":"bg-mu","number":"Numbers: 27898","value":"mu"},{"cost":"0.03","id":74,"servise":"Snapchat","serviseImg":"bg-fu","number":"Numbers: 27758","value":"fu"},{"cost":"0.00","id":75,"servise":"Keybase","serviseImg":"bg-bf","number":"Numbers: 0","value":"bf"},{"cost":"0.03","id":76,"servise":"OZON","serviseImg":"bg-sg","number":"Numbers: 26595","value":"sg"},{"cost":"0.03","id":77,"servise":"Wildberries","serviseImg":"bg-uu","number":"Numbers: 27220","value":"uu"},{"cost":"0.05","id":78,"servise":"BlaBlaCar","serviseImg":"bg-ua","number":"Numbers: 24367","value":"ua"},{"cost":"0.09","id":79,"servise":"Alibaba","serviseImg":"bg-ab","number":"Numbers: 17818","value":"ab"},{"cost":"0.00","id":80,"servise":"Inboxlv","serviseImg":"bg-iv","number":"Numbers: 0","value":"iv"},{"cost":"0.00","id":81,"servise":"Nttgame","serviseImg":"bg-zy","number":"Numbers: 0","value":"zy"},{"cost":"0.00","id":82,"servise":"Surveytime","serviseImg":"bg-gd","number":"Numbers: 0","value":"gd"},{"cost":"0.00","id":83,"servise":"Mylove","serviseImg":"bg-fy","number":"Numbers: 0","value":"fy"},{"cost":"0.02","id":84,"servise":"mosru","serviseImg":"bg-ce","number":"Numbers: 27173","value":"ce"},{"cost":"0.00","id":85,"servise":"Truecaller","serviseImg":"bg-tl","number":"Numbers: 0","value":"tl"},{"cost":"0.00","id":86,"servise":"Globus","serviseImg":"bg-hm","number":"Numbers: 0","value":"hm"},{"cost":"0.03","id":87,"servise":"Bolt","serviseImg":"bg-tx","number":"Numbers: 27378","value":"tx"},{"cost":"0.00","id":88,"servise":"Shopee","serviseImg":"bg-ka","number":"Numbers: 0","value":"ka"},{"cost":"0.03","id":89,"servise":"Perekrestok.ru","serviseImg":"bg-pl","number":"Numbers: 27883","value":"pl"},{"cost":"0.03","id":90,"servise":"Burger King","serviseImg":"bg-ip","number":"Numbers: 27764","value":"ip"},{"cost":"0.00","id":91,"servise":"Prom","serviseImg":"bg-cm","number":"Numbers: 0","value":"cm"},{"cost":"0.03","id":92,"servise":"AliPay","serviseImg":"bg-hw","number":"Numbers: 27166","value":"hw"},{"cost":"0.00","id":93,"servise":"Karusel","serviseImg":"bg-de","number":"Numbers: 0","value":"de"},{"cost":"0.00","id":94,"servise":"IVI","serviseImg":"bg-jc","number":"Numbers: 0","value":"jc"},{"cost":"0.03","id":95,"servise":"inDriver","serviseImg":"bg-rl","number":"Numbers: 27534","value":"rl"},{"cost":"0.03","id":96,"servise":"Happn","serviseImg":"bg-df","number":"Numbers: 27785","value":"df"},{"cost":"0.00","id":97,"servise":"RuTube","serviseImg":"bg-ui","number":"Numbers: 0","value":"ui"},{"cost":"0.03","id":98,"servise":"Magnolia","serviseImg":"bg-up","number":"Numbers: 27884","value":"up"},{"cost":"0.03","id":99,"servise":"Foodpanda","serviseImg":"bg-nz","number":"Numbers: 27493","value":"nz"},{"cost":"0.00","id":100,"servise":"Weibo","serviseImg":"bg-kf","number":"Numbers: 0","value":"kf"},{"cost":"0.00","id":101,"servise":"BillMill","serviseImg":"bg-ri","number":"Numbers: 0","value":"ri"},{"cost":"0.00","id":102,"servise":"Quipp","serviseImg":"bg-cc","number":"Numbers: 0","value":"cc"},{"cost":"0.00","id":103,"servise":"Okta","serviseImg":"bg-lr","number":"Numbers: 0","value":"lr"},{"cost":"0.03","id":104,"servise":"JDcom","serviseImg":"bg-za","number":"Numbers: 27891","value":"za"},{"cost":"0.05","id":105,"servise":"MTS CashBack","serviseImg":"bg-da","number":"Numbers: 12860","value":"da"},{"cost":"0.00","id":106,"servise":"Fiqsy","serviseImg":"bg-ug","number":"Numbers: 0","value":"ug"},{"cost":"0.00","id":107,"servise":"KuCoinPlay","serviseImg":"bg-sq","number":"Numbers: 0","value":"sq"},{"cost":"0.00","id":108,"servise":"Papara","serviseImg":"bg-zr","number":"Numbers: 0","value":"zr"},{"cost":"0.00","id":109,"servise":"Wish","serviseImg":"bg-xv","number":"Numbers: 0","value":"xv"},{"cost":"0.00","id":110,"servise":"Icrypex","serviseImg":"bg-cx","number":"Numbers: 0","value":"cx"},{"cost":"0.00","id":111,"servise":"PaddyPower","serviseImg":"bg-cw","number":"Numbers: 0","value":"cw"},{"cost":"0.05","id":112,"servise":"Baidu","serviseImg":"bg-li","number":"Numbers: 27813","value":"li"},{"cost":"0.00","id":113,"servise":"Dominos Pizza","serviseImg":"bg-dz","number":"Numbers: 0","value":"dz"},{"cost":"0.00","id":114,"servise":"paycell","serviseImg":"bg-xz","number":"Numbers: 0","value":"xz"},{"cost":"0.03","id":115,"servise":"Lenta","serviseImg":"bg-rd","number":"Numbers: 27651","value":"rd"},{"cost":"0.00","id":116,"servise":"Payberry","serviseImg":"bg-qb","number":"Numbers: 0","value":"qb"},{"cost":"0.03","id":117,"servise":"Drom","serviseImg":"bg-hz","number":"Numbers: 27673","value":"hz"},{"cost":"0.00","id":118,"servise":"GlobalTel","serviseImg":"bg-gl","number":"Numbers: 0","value":"gl"},{"cost":"0.00","id":119,"servise":"Deliveroo","serviseImg":"bg-zk","number":"Numbers: 0","value":"zk"},{"cost":"0.00","id":120,"servise":"Socios","serviseImg":"bg-ia","number":"Numbers: 0","value":"ia"},{"cost":"0.00","id":121,"servise":"Wmaraci","serviseImg":"bg-xl","number":"Numbers: 0","value":"xl"},{"cost":"0.00","id":122,"servise":"Yemeksepeti","serviseImg":"bg-yi","number":"Numbers: 0","value":"yi"},{"cost":"0.00","id":123,"servise":"Nike","serviseImg":"bg-ew","number":"Numbers: 0","value":"ew"},{"cost":"0.02","id":124,"servise":"myGLO","serviseImg":"bg-ae","number":"Numbers: 31671","value":"ae"},{"cost":"0.02","id":125,"servise":"YouStar","serviseImg":"bg-gb","number":"Numbers: 31133","value":"gb"},{"cost":"0.15","id":126,"servise":"\u0420\u0421\u0410","serviseImg":"bg-cy","number":"Numbers: 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0","value":"tj"},{"cost":"0.09","id":136,"servise":"PayPal","serviseImg":"bg-ts","number":"Numbers: 27144","value":"ts"},{"cost":"0.00","id":137,"servise":"hily","serviseImg":"bg-rt","number":"Numbers: 0","value":"rt"},{"cost":"0.00","id":138,"servise":"SneakersnStuff","serviseImg":"bg-sf","number":"Numbers: 0","value":"sf"},{"cost":"0.00","id":139,"servise":"Dostavista","serviseImg":"bg-sv","number":"Numbers: 0","value":"sv"},{"cost":"0.00","id":140,"servise":"32red","serviseImg":"bg-qi","number":"Numbers: 0","value":"qi"},{"cost":"0.02","id":141,"servise":"Blizzard","serviseImg":"bg-bz","number":"Numbers: 27797","value":"bz"},{"cost":"0.00","id":142,"servise":"ezbuy","serviseImg":"bg-db","number":"Numbers: 0","value":"db"},{"cost":"0.00","id":143,"servise":"CoinField","serviseImg":"bg-vw","number":"Numbers: 0","value":"vw"},{"cost":"0.00","id":144,"servise":"Airtel","serviseImg":"bg-zl","number":"Numbers: 0","value":"zl"},{"cost":"0.00","id":145,"servise":"Airtel","serviseImg":"bg-wf","number":"Numbers: 0","value":"wf"},{"cost":"0.00","id":146,"servise":"MrGreen","serviseImg":"bg-lw","number":"Numbers: 0","value":"lw"},{"cost":"0.00","id":147,"servise":"Rediffmail","serviseImg":"bg-co","number":"Numbers: 0","value":"co"},{"cost":"0.00","id":148,"servise":"miloan","serviseImg":"bg-ey","number":"Numbers: 0","value":"ey"},{"cost":"0.00","id":149,"servise":"Paytm","serviseImg":"bg-ge","number":"Numbers: 0","value":"ge"},{"cost":"0.00","id":150,"servise":"Dhani","serviseImg":"bg-os","number":"Numbers: 0","value":"os"},{"cost":"0.00","id":151,"servise":"CMTcuzdan","serviseImg":"bg-ql","number":"Numbers: 0","value":"ql"},{"cost":"0.00","id":152,"servise":"Mercado","serviseImg":"bg-cq","number":"Numbers: 0","value":"cq"},{"cost":"0.05","id":153,"servise":"DiDi","serviseImg":"bg-xk","number":"Numbers: 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0","value":"sw"},{"cost":"0.00","id":163,"servise":"Tosla","serviseImg":"bg-nr","number":"Numbers: 0","value":"nr"},{"cost":"0.00","id":164,"servise":"Ininal","serviseImg":"bg-hy","number":"Numbers: 0","value":"hy"},{"cost":"0.00","id":165,"servise":"Paysend","serviseImg":"bg-tr","number":"Numbers: 0","value":"tr"},{"cost":"0.00","id":166,"servise":"CDkeys","serviseImg":"bg-pq","number":"Numbers: 0","value":"pq"},{"cost":"0.00","id":167,"servise":"AVON","serviseImg":"bg-ff","number":"Numbers: 0","value":"ff"},{"cost":"0.03","id":168,"servise":"dodopizza","serviseImg":"bg-sd","number":"Numbers: 27739","value":"sd"},{"cost":"0.24","id":169,"servise":"McDonalds","serviseImg":"bg-ry","number":"Numbers: 7729","value":"ry"},{"cost":"0.00","id":170,"servise":"E bike Gewinnspiel","serviseImg":"bg-le","number":"Numbers: 0","value":"le"},{"cost":"0.00","id":171,"servise":"JKF","serviseImg":"bg-hr","number":"Numbers: 0","value":"hr"},{"cost":"0.00","id":172,"servise":"MyFishka","serviseImg":"bg-qa","number":"Numbers: 0","value":"qa"},{"cost":"0.00","id":173,"servise":"Craigslist","serviseImg":"bg-wc","number":"Numbers: 0","value":"wc"},{"cost":"0.00","id":174,"servise":"Foody","serviseImg":"bg-kw","number":"Numbers: 0","value":"kw"},{"cost":"0.00","id":175,"servise":"Grab","serviseImg":"bg-jg","number":"Numbers: 0","value":"jg"},{"cost":"0.05","id":176,"servise":"Zalo","serviseImg":"bg-mj","number":"Numbers: 28606","value":"mj"},{"cost":"0.00","id":177,"servise":"LiveScore","serviseImg":"bg-eu","number":"Numbers: 0","value":"eu"},{"cost":"0.00","id":178,"servise":"888casino","serviseImg":"bg-ll","number":"Numbers: 0","value":"ll"},{"cost":"0.00","id":179,"servise":"Gamer","serviseImg":"bg-ed","number":"Numbers: 0","value":"ed"},{"cost":"0.00","id":180,"servise":"Huya","serviseImg":"bg-pp","number":"Numbers: 0","value":"pp"},{"cost":"0.00","id":181,"servise":"WestStein","serviseImg":"bg-th","number":"Numbers: 0","value":"th"},{"cost":"0.04","id":182,"servise":"Tango","serviseImg":"bg-xr","number":"Numbers: 27765","value":"xr"},{"cost":"0.00","id":183,"servise":"Global24","serviseImg":"bg-iz","number":"Numbers: 0","value":"iz"},{"cost":"0.03","id":184,"servise":"\u041c\u0412\u0438\u0434\u0435\u043e","serviseImg":"bg-tk","number":"Numbers: 27660","value":"tk"},{"cost":"0.00","id":185,"servise":"Sheerid","serviseImg":"bg-rx","number":"Numbers: 0","value":"rx"},{"cost":"0.00","id":186,"servise":"99app","serviseImg":"bg-ki","number":"Numbers: 0","value":"ki"},{"cost":"0.00","id":187,"servise":"CAIXA","serviseImg":"bg-my","number":"Numbers: 0","value":"my"},{"cost":"0.00","id":188,"servise":"OfferUp","serviseImg":"bg-zm","number":"Numbers: 0","value":"zm"},{"cost":"0.00","id":189,"servise":"Swvl","serviseImg":"bg-tq","number":"Numbers: 0","value":"tq"},{"cost":"0.00","id":190,"servise":"Haraj","serviseImg":"bg-au","number":"Numbers: 0","value":"au"},{"cost":"0.00","id":191,"servise":"Taksheel","serviseImg":"bg-ei","number":"Numbers: 0","value":"ei"},{"cost":"0.00","id":192,"servise":"hamrahaval","serviseImg":"bg-rp","number":"Numbers: 0","value":"rp"},{"cost":"0.00","id":193,"servise":"Gamekit","serviseImg":"bg-pa","number":"Numbers: 0","value":"pa"},{"cost":"0.00","id":194,"servise":" \u015eikayet var","serviseImg":"bg-fs","number":"Numbers: 0","value":"fs"},{"cost":"0.00","id":195,"servise":"Getir","serviseImg":"bg-ul","number":"Numbers: 0","value":"ul"},{"cost":"0.00","id":196,"servise":"irancell","serviseImg":"bg-cf","number":"Numbers: 0","value":"cf"},{"cost":"0.00","id":197,"servise":"Alfa","serviseImg":"bg-bt","number":"Numbers: 0","value":"bt"},{"cost":"0.00","id":198,"servise":"Disney Hotstar","serviseImg":"bg-ud","number":"Numbers: 0","value":"ud"},{"cost":"0.00","id":199,"servise":"Agroinform","serviseImg":"bg-qu","number":"Numbers: 0","value":"qu"},{"cost":"0.00","id":200,"servise":"humblebundle","serviseImg":"bg-un","number":"Numbers: 0","value":"un"},{"cost":"0.00","id":201,"servise":"Faberlic","serviseImg":"bg-rm","number":"Numbers: 0","value":"rm"},{"cost":"0.00","id":202,"servise":"CafeBazaar","serviseImg":"bg-uo","number":"Numbers: 0","value":"uo"},{"cost":"0.00","id":203,"servise":"cryptocom","serviseImg":"bg-ti","number":"Numbers: 0","value":"ti"},{"cost":"0.00","id":204,"servise":"Gittigidiyor","serviseImg":"bg-nk","number":"Numbers: 0","value":"nk"},{"cost":"0.00","id":205,"servise":"mzadqatar","serviseImg":"bg-jm","number":"Numbers: 0","value":"jm"},{"cost":"0.00","id":206,"servise":"Algida","serviseImg":"bg-lp","number":"Numbers: 0","value":"lp"},{"cost":"0.00","id":207,"servise":"Cita Previa","serviseImg":"bg-si","number":"Numbers: 0","value":"si"},{"cost":"0.00","id":208,"servise":"Potato Chat","serviseImg":"bg-fj","number":"Numbers: 0","value":"fj"},{"cost":"0.00","id":209,"servise":"Bitaqaty","serviseImg":"bg-pt","number":"Numbers: 0","value":"pt"},{"cost":"0.00","id":210,"servise":"Primaries 2020","serviseImg":"bg-qc","number":"Numbers: 0","value":"qc"},{"cost":"0.00","id":211,"servise":"Amasia","serviseImg":"bg-yo","number":"Numbers: 0","value":"yo"},{"cost":"0.00","id":212,"servise":"Dream11","serviseImg":"bg-ve","number":"Numbers: 0","value":"ve"},{"cost":"0.00","id":213,"servise":"Oriflame","serviseImg":"bg-qh","number":"Numbers: 0","value":"qh"},{"cost":"0.00","id":214,"servise":"Bykea","serviseImg":"bg-iu","number":"Numbers: 0","value":"iu"},{"cost":"0.00","id":215,"servise":"Immowelt","serviseImg":"bg-ib","number":"Numbers: 0","value":"ib"},{"cost":"0.00","id":216,"servise":"Digikala","serviseImg":"bg-zv","number":"Numbers: 0","value":"zv"},{"cost":"0.00","id":217,"servise":"Wing Money","serviseImg":"bg-jb","number":"Numbers: 0","value":"jb"},{"cost":"0.00","id":218,"servise":"Yaay","serviseImg":"bg-vn","number":"Numbers: 0","value":"vn"},{"cost":"0.00","id":219,"servise":"GameArena","serviseImg":"bg-wn","number":"Numbers: 0","value":"wn"},{"cost":"0.04","id":220,"servise":"Vita express","serviseImg":"bg-bj","number":"Numbers: 27861","value":"bj"},{"cost":"0.00","id":221,"servise":"Auchan","serviseImg":"bg-st","number":"Numbers: 0","value":"st"},{"cost":"0.00","id":222,"servise":"Picpay","serviseImg":"bg-ev","number":"Numbers: 0","value":"ev"},{"cost":"0.00","id":223,"servise":"Blued","serviseImg":"bg-qn","number":"Numbers: 0","value":"qn"},{"cost":"0.05","id":224,"servise":"Not on the list","serviseImg":"bg-ot","number":"Numbers: 19352","value":"ot"}]
The problem is that after my knowledge this is a wrong formatted json file, even if I remove "[" and "]".
I though of just looking at it as a text file to get a specific value but I was unable to find something on the internet about this topic.
I want to get the following value:
From:
{"cost":"0.00","id":123,"servise":"Nike","serviseImg":"bg-ew","number":"Numbers: 0","value":"ew"}
I want to get:
Numbers: 0

Use json.loads to become a dictionary query:
import requests
import json
response = requests.get('https://sms-service-online.com/api/getServicesAndCost/?country=0&operator=any&lang=en')
data = response.json()
plain = data["data"]
for d in json.loads(plain):
if d['id'] == 123:
print(d)

You have a list of dict in your first example. So first you need to select which dict you want. For instance, if your query is called 'json_list'
json_list[2]
will get you the third item in that list.
For what you are asking, try:
j = {"cost":"0.00","id":123,"servise":"Nike","serviseImg":"bg-ew","number":"Numbers: 0","value":"ew"}
j["number"].split()[-1]
Assuming you want to check all numbers in all dict, try:
json_list=[{"cost":"0.45","id":0,"servise":"VK.com","serviseImg":"bg-vk","number":"Numbers: 3047","value":"vk"},{"cost":"0.07","id":1,"servise":"OK.ru","serviseImg":"bg-ok","number":"Numbers: 14397","value":"ok"},{"cost":"0.15","id":2,"servise":"Whatsapp","serviseImg":"bg-wa","number":"Numbers: 17610","value":"wa"},{"cost":"0.18","id":3,"servise":"Viber","serviseImg":"bg-vi","number":"Numbers: 413","value":"vi"},{"cost":"0.00","id":4,"servise":"Telegram","serviseImg":"bg-tg","number":"Numbers: 0","value":"tg"},{"cost":"0.30","id":5,"servise":"WeChat","serviseImg":"bg-wb","number":"Numbers: 28389","value":"wb"},{"cost":"0.15","id":6,"servise":"Google,youtube,Gmail","serviseImg":"bg-go","number":"Numbers: 15419","value":"go"},{"cost":"0.11","id":7,"servise":"avito","serviseImg":"bg-av","number":"Numbers: 17379","value":"av"},{"cost":"0.07","id":8,"servise":"facebook","serviseImg":"bg-fb","number":"Numbers: 21636","value":"fb"},{"cost":"0.03","id":9,"servise":"Twitter","serviseImg":"bg-tw","number":"Numbers: 26864","value":"tw"},{"cost":"0.05","id":10,"servise":"Uber","serviseImg":"bg-ub","number":"Numbers: 20975","value":"ub"},{"cost":"0.22","id":11,"servise":"Qiwi","serviseImg":"bg-qw","number":"Numbers: 20371","value":"qw"},{"cost":"0.02","id":12,"servise":"Gett","serviseImg":"bg-gt","number":"Numbers: 28501","value":"gt"},{"cost":"0.00","id":13,"servise":"OLX","serviseImg":"bg-sn","number":"Numbers: 0","value":"sn"},{"cost":"0.14","id":14,"servise":"Instagram","serviseImg":"bg-ig","number":"Numbers: 3799","value":"ig"},{"cost":"0.00","id":15,"servise":"Hezzl","serviseImg":"bg-ss","number":"Numbers: 0","value":"ss"},{"cost":"0.07","id":16,"servise":"\u042e\u043b\u0430","serviseImg":"bg-ym","number":"Numbers: 17597","value":"ym"},{"cost":"0.03","id":17,"servise":"Mail.ru","serviseImg":"bg-ma","number":"Numbers: 17936","value":"ma"},{"cost":"0.03","id":18,"servise":"Microsoft","serviseImg":"bg-mm","number":"Numbers: 3830","value":"mm"},{"cost":"0.03","id":19,"servise":"Airbnb","serviseImg":"bg-uk","number":"Numbers: 28266","value":"uk"},{"cost":"0.00","id":20,"servise":"Line messenger","serviseImg":"bg-me","number":"Numbers: 0","value":"me"},{"cost":"0.03","id":21,"servise":"Yahoo","serviseImg":"bg-mb","number":"Numbers: 19077","value":"mb"},{"cost":"0.00","id":22,"servise":"Drugvokrug.ru","serviseImg":"bg-we","number":"Numbers: 0","value":"we"},{"cost":"0.05","id":23,"servise":"5ka.ru","serviseImg":"bg-bd","number":"Numbers: 27541","value":"bd"},{"cost":"0.00","id":24,"servise":"HQ Trivia","serviseImg":"bg-kp","number":"Numbers: 0","value":"kp"},{"cost":"0.65","id":25,"servise":"Delivery Club","serviseImg":"bg-dt","number":"Numbers: 26812","value":"dt"},{"cost":"0.03","id":26,"servise":"Yandex","serviseImg":"bg-ya","number":"Numbers: 20944","value":"ya"},{"cost":"0.05","id":27,"servise":"Steam","serviseImg":"bg-mt","number":"Numbers: 28121","value":"mt"},{"cost":"0.04","id":28,"servise":"Tinder","serviseImg":"bg-oi","number":"Numbers: 27478","value":"oi"},{"cost":"0.02","id":29,"servise":"Mamba, MeetMe","serviseImg":"bg-fd","number":"Numbers: 25328","value":"fd"},{"cost":"0.00","id":30,"servise":"Dent","serviseImg":"bg-zz","number":"Numbers: 0","value":"zz"},{"cost":"0.07","id":31,"servise":"KakaoTalk","serviseImg":"bg-kt","number":"Numbers: 27823","value":"kt"},{"cost":"0.04","id":32,"servise":"AOL","serviseImg":"bg-pm","number":"Numbers: 23369","value":"pm"},{"cost":"0.02","id":33,"servise":"LinkedIN","serviseImg":"bg-tn","number":"Numbers: 32192","value":"tn"},{"cost":"0.03","id":34,"servise":"Tencent QQ","serviseImg":"bg-qq","number":"Numbers: 27883","value":"qq"},{"cost":"0.06","id":35,"servise":"Magnit","serviseImg":"bg-mg","number":"Numbers: 993","value":"mg"},{"cost":"0.00","id":36,"servise":"pof.com","serviseImg":"bg-pf","number":"Numbers: 0","value":"pf"},{"cost":"0.03","id":37,"servise":"Yalla","serviseImg":"bg-yl","number":"Numbers: 27822","value":"yl"},{"cost":"0.00","id":38,"servise":"kolesa.kz","serviseImg":"bg-kl","number":"Numbers: 0","value":"kl"},{"cost":"0.03","id":39,"servise":"premium.one","serviseImg":"bg-po","number":"Numbers: 25869","value":"po"},{"cost":"0.07","id":40,"servise":"Naver","serviseImg":"bg-nv","number":"Numbers: 27582","value":"nv"},{"cost":"0.03","id":41,"servise":"Netflix","serviseImg":"bg-nf","number":"Numbers: 27715","value":"nf"},{"cost":"0.00","id":42,"servise":"icq","serviseImg":"bg-iq","number":"Numbers: 0","value":"iq"},{"cost":"0.00","id":43,"servise":"Onlinerby","serviseImg":"bg-ob","number":"Numbers: 0","value":"ob"},{"cost":"0.00","id":44,"servise":"kufarby","serviseImg":"bg-kb","number":"Numbers: 0","value":"kb"},{"cost":"0.03","id":45,"servise":"Imo","serviseImg":"bg-im","number":"Numbers: 25198","value":"im"},{"cost":"0.00","id":46,"servise":"Michat","serviseImg":"bg-mc","number":"Numbers: 0","value":"mc"},{"cost":"0.03","id":47,"servise":"Discord","serviseImg":"bg-ds","number":"Numbers: 22011","value":"ds"},{"cost":"0.00","id":48,"servise":"Seosprint","serviseImg":"bg-vv","number":"Numbers: 0","value":"vv"},{"cost":"0.00","id":49,"servise":"Monobank","serviseImg":"bg-ji","number":"Numbers: 0","value":"ji"},{"cost":"0.03","id":50,"servise":"TikTok\/Douyin","serviseImg":"bg-lf","number":"Numbers: 26299","value":"lf"},{"cost":"0.00","id":51,"servise":"Ukrnet","serviseImg":"bg-hu","number":"Numbers: 0","value":"hu"},{"cost":"0.00","id":52,"servise":"Skout","serviseImg":"bg-wg","number":"Numbers: 0","value":"wg"},{"cost":"0.00","id":53,"servise":"EasyPay","serviseImg":"bg-rz","number":"Numbers: 0","value":"rz"},{"cost":"0.00","id":54,"servise":"Q12 Trivia","serviseImg":"bg-vf","number":"Numbers: 0","value":"vf"},{"cost":"0.00","id":55,"servise":"Pyro Music","serviseImg":"bg-ny","number":"Numbers: 0","value":"ny"},{"cost":"0.00","id":56,"servise":"Wolt","serviseImg":"bg-rr","number":"Numbers: 0","value":"rr"},{"cost":"0.00","id":57,"servise":"CliQQ","serviseImg":"bg-fe","number":"Numbers: 0","value":"fe"},{"cost":"0.00","id":58,"servise":"ssoidnet","serviseImg":"bg-la","number":"Numbers: 0","value":"la"},{"cost":"0.00","id":59,"servise":"Zoho","serviseImg":"bg-zh","number":"Numbers: 0","value":"zh"},{"cost":"0.00","id":60,"servise":"Ticketmaster","serviseImg":"bg-gp","number":"Numbers: 0","value":"gp"},{"cost":"0.05","id":61,"servise":"Amazon","serviseImg":"bg-am","number":"Numbers: 25313","value":"am"},{"cost":"0.00","id":62,"servise":"Olacabs","serviseImg":"bg-ly","number":"Numbers: 0","value":"ly"},{"cost":"0.00","id":63,"servise":"Rambler","serviseImg":"bg-tc","number":"Numbers: 0","value":"tc"},{"cost":"0.02","id":64,"servise":"ProtonMail","serviseImg":"bg-dp","number":"Numbers: 30668","value":"dp"},{"cost":"0.00","id":65,"servise":"NRJ Music Awards","serviseImg":"bg-pg","number":"Numbers: 0","value":"pg"},{"cost":"0.03","id":66,"servise":"Citymobil","serviseImg":"bg-yf","number":"Numbers: 26997","value":"yf"},{"cost":"0.00","id":67,"servise":"MIRATORG","serviseImg":"bg-op","number":"Numbers: 0","value":"op"},{"cost":"0.03","id":68,"servise":"PGbonus","serviseImg":"bg-fx","number":"Numbers: 27563","value":"fx"},{"cost":"0.03","id":69,"servise":"MEGA","serviseImg":"bg-qr","number":"Numbers: 27848","value":"qr"},{"cost":"0.03","id":70,"servise":"SportMaster","serviseImg":"bg-yk","number":"Numbers: 26584","value":"yk"},{"cost":"0.03","id":71,"servise":"Careem","serviseImg":"bg-ls","number":"Numbers: 27873","value":"ls"},{"cost":"0.03","id":72,"servise":"BIGO LIVE","serviseImg":"bg-bl","number":"Numbers: 25421","value":"bl"},{"cost":"0.03","id":73,"servise":"MyMusicTaste","serviseImg":"bg-mu","number":"Numbers: 27898","value":"mu"},{"cost":"0.03","id":74,"servise":"Snapchat","serviseImg":"bg-fu","number":"Numbers: 27758","value":"fu"},{"cost":"0.00","id":75,"servise":"Keybase","serviseImg":"bg-bf","number":"Numbers: 0","value":"bf"},{"cost":"0.03","id":76,"servise":"OZON","serviseImg":"bg-sg","number":"Numbers: 26595","value":"sg"},{"cost":"0.03","id":77,"servise":"Wildberries","serviseImg":"bg-uu","number":"Numbers: 27220","value":"uu"},{"cost":"0.05","id":78,"servise":"BlaBlaCar","serviseImg":"bg-ua","number":"Numbers: 24367","value":"ua"},{"cost":"0.09","id":79,"servise":"Alibaba","serviseImg":"bg-ab","number":"Numbers: 17818","value":"ab"},{"cost":"0.00","id":80,"servise":"Inboxlv","serviseImg":"bg-iv","number":"Numbers: 0","value":"iv"},{"cost":"0.00","id":81,"servise":"Nttgame","serviseImg":"bg-zy","number":"Numbers: 0","value":"zy"},{"cost":"0.00","id":82,"servise":"Surveytime","serviseImg":"bg-gd","number":"Numbers: 0","value":"gd"},{"cost":"0.00","id":83,"servise":"Mylove","serviseImg":"bg-fy","number":"Numbers: 0","value":"fy"},{"cost":"0.02","id":84,"servise":"mosru","serviseImg":"bg-ce","number":"Numbers: 27173","value":"ce"},{"cost":"0.00","id":85,"servise":"Truecaller","serviseImg":"bg-tl","number":"Numbers: 0","value":"tl"},{"cost":"0.00","id":86,"servise":"Globus","serviseImg":"bg-hm","number":"Numbers: 0","value":"hm"},{"cost":"0.03","id":87,"servise":"Bolt","serviseImg":"bg-tx","number":"Numbers: 27378","value":"tx"},{"cost":"0.00","id":88,"servise":"Shopee","serviseImg":"bg-ka","number":"Numbers: 0","value":"ka"},{"cost":"0.03","id":89,"servise":"Perekrestok.ru","serviseImg":"bg-pl","number":"Numbers: 27883","value":"pl"},{"cost":"0.03","id":90,"servise":"Burger King","serviseImg":"bg-ip","number":"Numbers: 27764","value":"ip"},{"cost":"0.00","id":91,"servise":"Prom","serviseImg":"bg-cm","number":"Numbers: 0","value":"cm"},{"cost":"0.03","id":92,"servise":"AliPay","serviseImg":"bg-hw","number":"Numbers: 27166","value":"hw"},{"cost":"0.00","id":93,"servise":"Karusel","serviseImg":"bg-de","number":"Numbers: 0","value":"de"},{"cost":"0.00","id":94,"servise":"IVI","serviseImg":"bg-jc","number":"Numbers: 0","value":"jc"},{"cost":"0.03","id":95,"servise":"inDriver","serviseImg":"bg-rl","number":"Numbers: 27534","value":"rl"},{"cost":"0.03","id":96,"servise":"Happn","serviseImg":"bg-df","number":"Numbers: 27785","value":"df"},{"cost":"0.00","id":97,"servise":"RuTube","serviseImg":"bg-ui","number":"Numbers: 0","value":"ui"},{"cost":"0.03","id":98,"servise":"Magnolia","serviseImg":"bg-up","number":"Numbers: 27884","value":"up"},{"cost":"0.03","id":99,"servise":"Foodpanda","serviseImg":"bg-nz","number":"Numbers: 27493","value":"nz"},{"cost":"0.00","id":100,"servise":"Weibo","serviseImg":"bg-kf","number":"Numbers: 0","value":"kf"},{"cost":"0.00","id":101,"servise":"BillMill","serviseImg":"bg-ri","number":"Numbers: 0","value":"ri"},{"cost":"0.00","id":102,"servise":"Quipp","serviseImg":"bg-cc","number":"Numbers: 0","value":"cc"},{"cost":"0.00","id":103,"servise":"Okta","serviseImg":"bg-lr","number":"Numbers: 0","value":"lr"},{"cost":"0.03","id":104,"servise":"JDcom","serviseImg":"bg-za","number":"Numbers: 27891","value":"za"},{"cost":"0.05","id":105,"servise":"MTS CashBack","serviseImg":"bg-da","number":"Numbers: 12860","value":"da"},{"cost":"0.00","id":106,"servise":"Fiqsy","serviseImg":"bg-ug","number":"Numbers: 0","value":"ug"},{"cost":"0.00","id":107,"servise":"KuCoinPlay","serviseImg":"bg-sq","number":"Numbers: 0","value":"sq"},{"cost":"0.00","id":108,"servise":"Papara","serviseImg":"bg-zr","number":"Numbers: 0","value":"zr"},{"cost":"0.00","id":109,"servise":"Wish","serviseImg":"bg-xv","number":"Numbers: 0","value":"xv"},{"cost":"0.00","id":110,"servise":"Icrypex","serviseImg":"bg-cx","number":"Numbers: 0","value":"cx"},{"cost":"0.00","id":111,"servise":"PaddyPower","serviseImg":"bg-cw","number":"Numbers: 0","value":"cw"},{"cost":"0.05","id":112,"servise":"Baidu","serviseImg":"bg-li","number":"Numbers: 27813","value":"li"},{"cost":"0.00","id":113,"servise":"Dominos Pizza","serviseImg":"bg-dz","number":"Numbers: 0","value":"dz"},{"cost":"0.00","id":114,"servise":"paycell","serviseImg":"bg-xz","number":"Numbers: 0","value":"xz"},{"cost":"0.03","id":115,"servise":"Lenta","serviseImg":"bg-rd","number":"Numbers: 27651","value":"rd"},{"cost":"0.00","id":116,"servise":"Payberry","serviseImg":"bg-qb","number":"Numbers: 0","value":"qb"},{"cost":"0.03","id":117,"servise":"Drom","serviseImg":"bg-hz","number":"Numbers: 27673","value":"hz"},{"cost":"0.00","id":118,"servise":"GlobalTel","serviseImg":"bg-gl","number":"Numbers: 0","value":"gl"},{"cost":"0.00","id":119,"servise":"Deliveroo","serviseImg":"bg-zk","number":"Numbers: 0","value":"zk"},{"cost":"0.00","id":120,"servise":"Socios","serviseImg":"bg-ia","number":"Numbers: 0","value":"ia"},{"cost":"0.00","id":121,"servise":"Wmaraci","serviseImg":"bg-xl","number":"Numbers: 0","value":"xl"},{"cost":"0.00","id":122,"servise":"Yemeksepeti","serviseImg":"bg-yi","number":"Numbers: 0","value":"yi"},{"cost":"0.00","id":123,"servise":"Nike","serviseImg":"bg-ew","number":"Numbers: 0","value":"ew"},{"cost":"0.02","id":124,"servise":"myGLO","serviseImg":"bg-ae","number":"Numbers: 31671","value":"ae"},{"cost":"0.02","id":125,"servise":"YouStar","serviseImg":"bg-gb","number":"Numbers: 31133","value":"gb"},{"cost":"0.15","id":126,"servise":"\u0420\u0421\u0410","serviseImg":"bg-cy","number":"Numbers: 25178","value":"cy"},{"cost":"0.00","id":127,"servise":"RosaKhutor","serviseImg":"bg-qm","number":"Numbers: 0","value":"qm"},{"cost":"0.00","id":128,"servise":"eBay","serviseImg":"bg-dh","number":"Numbers: 0","value":"dh"},{"cost":"0.00","id":129,"servise":"Pay.kvartplata.ru+","serviseImg":"bg-yb","number":"Numbers: 0","value":"yb"},{"cost":"0.00","id":130,"servise":"GG","serviseImg":"bg-qe","number":"Numbers: 0","value":"qe"},{"cost":"0.03","id":131,"servise":"Grindr","serviseImg":"bg-yw","number":"Numbers: 4841","value":"yw"},{"cost":"0.00","id":132,"servise":"OffGamers","serviseImg":"bg-uz","number":"Numbers: 0","value":"uz"},{"cost":"0.00","id":133,"servise":"Hepsiburadacom","serviseImg":"bg-gx","number":"Numbers: 0","value":"gx"},{"cost":"0.00","id":134,"servise":"Coinbase","serviseImg":"bg-re","number":"Numbers: 0","value":"re"},{"cost":"0.00","id":135,"servise":"RADA NABU","serviseImg":"bg-tj","number":"Numbers: 0","value":"tj"},{"cost":"0.09","id":136,"servise":"PayPal","serviseImg":"bg-ts","number":"Numbers: 27144","value":"ts"},{"cost":"0.00","id":137,"servise":"hily","serviseImg":"bg-rt","number":"Numbers: 0","value":"rt"},{"cost":"0.00","id":138,"servise":"SneakersnStuff","serviseImg":"bg-sf","number":"Numbers: 0","value":"sf"},{"cost":"0.00","id":139,"servise":"Dostavista","serviseImg":"bg-sv","number":"Numbers: 0","value":"sv"},{"cost":"0.00","id":140,"servise":"32red","serviseImg":"bg-qi","number":"Numbers: 0","value":"qi"},{"cost":"0.02","id":141,"servise":"Blizzard","serviseImg":"bg-bz","number":"Numbers: 27797","value":"bz"},{"cost":"0.00","id":142,"servise":"ezbuy","serviseImg":"bg-db","number":"Numbers: 0","value":"db"},{"cost":"0.00","id":143,"servise":"CoinField","serviseImg":"bg-vw","number":"Numbers: 0","value":"vw"},{"cost":"0.00","id":144,"servise":"Airtel","serviseImg":"bg-zl","number":"Numbers: 0","value":"zl"},{"cost":"0.00","id":145,"servise":"Airtel","serviseImg":"bg-wf","number":"Numbers: 0","value":"wf"},{"cost":"0.00","id":146,"servise":"MrGreen","serviseImg":"bg-lw","number":"Numbers: 0","value":"lw"},{"cost":"0.00","id":147,"servise":"Rediffmail","serviseImg":"bg-co","number":"Numbers: 0","value":"co"},{"cost":"0.00","id":148,"servise":"miloan","serviseImg":"bg-ey","number":"Numbers: 0","value":"ey"},{"cost":"0.00","id":149,"servise":"Paytm","serviseImg":"bg-ge","number":"Numbers: 0","value":"ge"},{"cost":"0.00","id":150,"servise":"Dhani","serviseImg":"bg-os","number":"Numbers: 0","value":"os"},{"cost":"0.00","id":151,"servise":"CMTcuzdan","serviseImg":"bg-ql","number":"Numbers: 0","value":"ql"},{"cost":"0.00","id":152,"servise":"Mercado","serviseImg":"bg-cq","number":"Numbers: 0","value":"cq"},{"cost":"0.05","id":153,"servise":"DiDi","serviseImg":"bg-xk","number":"Numbers: 26447","value":"xk"},{"cost":"0.00","id":154,"servise":"Monese","serviseImg":"bg-py","number":"Numbers: 0","value":"py"},{"cost":"0.00","id":155,"servise":"Kotak811","serviseImg":"bg-rv","number":"Numbers: 0","value":"rv"},{"cost":"0.00","id":156,"servise":"Hopi","serviseImg":"bg-jl","number":"Numbers: 0","value":"jl"},{"cost":"0.00","id":157,"servise":"Trendyol","serviseImg":"bg-pr","number":"Numbers: 0","value":"pr"},{"cost":"0.00","id":158,"servise":"Justdating","serviseImg":"bg-pu","number":"Numbers: 0","value":"pu"},{"cost":"0.00","id":159,"servise":"Pairs","serviseImg":"bg-dk","number":"Numbers: 0","value":"dk"},{"cost":"0.00","id":160,"servise":"Touchance","serviseImg":"bg-fm","number":"Numbers: 0","value":"fm"},{"cost":"0.00","id":161,"servise":"SnappFood","serviseImg":"bg-ph","number":"Numbers: 0","value":"ph"},{"cost":"0.00","id":162,"servise":"NCsoft","serviseImg":"bg-sw","number":"Numbers: 0","value":"sw"},{"cost":"0.00","id":163,"servise":"Tosla","serviseImg":"bg-nr","number":"Numbers: 0","value":"nr"},{"cost":"0.00","id":164,"servise":"Ininal","serviseImg":"bg-hy","number":"Numbers: 0","value":"hy"},{"cost":"0.00","id":165,"servise":"Paysend","serviseImg":"bg-tr","number":"Numbers: 0","value":"tr"},{"cost":"0.00","id":166,"servise":"CDkeys","serviseImg":"bg-pq","number":"Numbers: 0","value":"pq"},{"cost":"0.00","id":167,"servise":"AVON","serviseImg":"bg-ff","number":"Numbers: 0","value":"ff"},{"cost":"0.03","id":168,"servise":"dodopizza","serviseImg":"bg-sd","number":"Numbers: 27739","value":"sd"},{"cost":"0.24","id":169,"servise":"McDonalds","serviseImg":"bg-ry","number":"Numbers: 7729","value":"ry"},{"cost":"0.00","id":170,"servise":"E bike Gewinnspiel","serviseImg":"bg-le","number":"Numbers: 0","value":"le"},{"cost":"0.00","id":171,"servise":"JKF","serviseImg":"bg-hr","number":"Numbers: 0","value":"hr"},{"cost":"0.00","id":172,"servise":"MyFishka","serviseImg":"bg-qa","number":"Numbers: 0","value":"qa"},{"cost":"0.00","id":173,"servise":"Craigslist","serviseImg":"bg-wc","number":"Numbers: 0","value":"wc"},{"cost":"0.00","id":174,"servise":"Foody","serviseImg":"bg-kw","number":"Numbers: 0","value":"kw"},{"cost":"0.00","id":175,"servise":"Grab","serviseImg":"bg-jg","number":"Numbers: 0","value":"jg"},{"cost":"0.05","id":176,"servise":"Zalo","serviseImg":"bg-mj","number":"Numbers: 28606","value":"mj"},{"cost":"0.00","id":177,"servise":"LiveScore","serviseImg":"bg-eu","number":"Numbers: 0","value":"eu"},{"cost":"0.00","id":178,"servise":"888casino","serviseImg":"bg-ll","number":"Numbers: 0","value":"ll"},{"cost":"0.00","id":179,"servise":"Gamer","serviseImg":"bg-ed","number":"Numbers: 0","value":"ed"},{"cost":"0.00","id":180,"servise":"Huya","serviseImg":"bg-pp","number":"Numbers: 0","value":"pp"},{"cost":"0.00","id":181,"servise":"WestStein","serviseImg":"bg-th","number":"Numbers: 0","value":"th"},{"cost":"0.04","id":182,"servise":"Tango","serviseImg":"bg-xr","number":"Numbers: 27765","value":"xr"},{"cost":"0.00","id":183,"servise":"Global24","serviseImg":"bg-iz","number":"Numbers: 0","value":"iz"},{"cost":"0.03","id":184,"servise":"\u041c\u0412\u0438\u0434\u0435\u043e","serviseImg":"bg-tk","number":"Numbers: 27660","value":"tk"},{"cost":"0.00","id":185,"servise":"Sheerid","serviseImg":"bg-rx","number":"Numbers: 0","value":"rx"},{"cost":"0.00","id":186,"servise":"99app","serviseImg":"bg-ki","number":"Numbers: 0","value":"ki"},{"cost":"0.00","id":187,"servise":"CAIXA","serviseImg":"bg-my","number":"Numbers: 0","value":"my"},{"cost":"0.00","id":188,"servise":"OfferUp","serviseImg":"bg-zm","number":"Numbers: 0","value":"zm"},{"cost":"0.00","id":189,"servise":"Swvl","serviseImg":"bg-tq","number":"Numbers: 0","value":"tq"},{"cost":"0.00","id":190,"servise":"Haraj","serviseImg":"bg-au","number":"Numbers: 0","value":"au"},{"cost":"0.00","id":191,"servise":"Taksheel","serviseImg":"bg-ei","number":"Numbers: 0","value":"ei"},{"cost":"0.00","id":192,"servise":"hamrahaval","serviseImg":"bg-rp","number":"Numbers: 0","value":"rp"},{"cost":"0.00","id":193,"servise":"Gamekit","serviseImg":"bg-pa","number":"Numbers: 0","value":"pa"},{"cost":"0.00","id":194,"servise":" \u015eikayet var","serviseImg":"bg-fs","number":"Numbers: 0","value":"fs"},{"cost":"0.00","id":195,"servise":"Getir","serviseImg":"bg-ul","number":"Numbers: 0","value":"ul"},{"cost":"0.00","id":196,"servise":"irancell","serviseImg":"bg-cf","number":"Numbers: 0","value":"cf"},{"cost":"0.00","id":197,"servise":"Alfa","serviseImg":"bg-bt","number":"Numbers: 0","value":"bt"},{"cost":"0.00","id":198,"servise":"Disney Hotstar","serviseImg":"bg-ud","number":"Numbers: 0","value":"ud"},{"cost":"0.00","id":199,"servise":"Agroinform","serviseImg":"bg-qu","number":"Numbers: 0","value":"qu"},{"cost":"0.00","id":200,"servise":"humblebundle","serviseImg":"bg-un","number":"Numbers: 0","value":"un"},{"cost":"0.00","id":201,"servise":"Faberlic","serviseImg":"bg-rm","number":"Numbers: 0","value":"rm"},{"cost":"0.00","id":202,"servise":"CafeBazaar","serviseImg":"bg-uo","number":"Numbers: 0","value":"uo"},{"cost":"0.00","id":203,"servise":"cryptocom","serviseImg":"bg-ti","number":"Numbers: 0","value":"ti"},{"cost":"0.00","id":204,"servise":"Gittigidiyor","serviseImg":"bg-nk","number":"Numbers: 0","value":"nk"},{"cost":"0.00","id":205,"servise":"mzadqatar","serviseImg":"bg-jm","number":"Numbers: 0","value":"jm"},{"cost":"0.00","id":206,"servise":"Algida","serviseImg":"bg-lp","number":"Numbers: 0","value":"lp"},{"cost":"0.00","id":207,"servise":"Cita Previa","serviseImg":"bg-si","number":"Numbers: 0","value":"si"},{"cost":"0.00","id":208,"servise":"Potato Chat","serviseImg":"bg-fj","number":"Numbers: 0","value":"fj"},{"cost":"0.00","id":209,"servise":"Bitaqaty","serviseImg":"bg-pt","number":"Numbers: 0","value":"pt"},{"cost":"0.00","id":210,"servise":"Primaries 2020","serviseImg":"bg-qc","number":"Numbers: 0","value":"qc"},{"cost":"0.00","id":211,"servise":"Amasia","serviseImg":"bg-yo","number":"Numbers: 0","value":"yo"},{"cost":"0.00","id":212,"servise":"Dream11","serviseImg":"bg-ve","number":"Numbers: 0","value":"ve"},{"cost":"0.00","id":213,"servise":"Oriflame","serviseImg":"bg-qh","number":"Numbers: 0","value":"qh"},{"cost":"0.00","id":214,"servise":"Bykea","serviseImg":"bg-iu","number":"Numbers: 0","value":"iu"},{"cost":"0.00","id":215,"servise":"Immowelt","serviseImg":"bg-ib","number":"Numbers: 0","value":"ib"},{"cost":"0.00","id":216,"servise":"Digikala","serviseImg":"bg-zv","number":"Numbers: 0","value":"zv"},{"cost":"0.00","id":217,"servise":"Wing Money","serviseImg":"bg-jb","number":"Numbers: 0","value":"jb"},{"cost":"0.00","id":218,"servise":"Yaay","serviseImg":"bg-vn","number":"Numbers: 0","value":"vn"},{"cost":"0.00","id":219,"servise":"GameArena","serviseImg":"bg-wn","number":"Numbers: 0","value":"wn"},{"cost":"0.04","id":220,"servise":"Vita express","serviseImg":"bg-bj","number":"Numbers: 27861","value":"bj"},{"cost":"0.00","id":221,"servise":"Auchan","serviseImg":"bg-st","number":"Numbers: 0","value":"st"},{"cost":"0.00","id":222,"servise":"Picpay","serviseImg":"bg-ev","number":"Numbers: 0","value":"ev"},{"cost":"0.00","id":223,"servise":"Blued","serviseImg":"bg-qn","number":"Numbers: 0","value":"qn"},{"cost":"0.05","id":224,"servise":"Not on the list","serviseImg":"bg-ot","number":"Numbers: 19352","value":"ot"}]
for j in json_list:
n = i['number'].split()[-1]
print(n)
# do something interesting with n

R DTW multivariate series with asymmetric step fails to compute alignment

I'm using the DTW implementation found in R along with the python bindings in order to verify the effects of changing different parameters(like local constraint, local distance function and others) for my data. The data represents feature vectors that an audio processing frontend outputs(MFCC). Because of this I am dealing with multivariate time series, each feature vector has a size of 8. The problem I'm facing is when I try to use certain local constraints ( or step patterns ) I get the following error:
Error in if (is.na(gcm$distance)) { : argument is of length zero
Traceback (most recent call last):
File "r_dtw_simplified.py", line 32, in <module>
alignment = R.dtw(canDist, rNull, "Euclidean", stepPattern, "none", True, Fa
lse, True, False )
File "D:\Python27\lib\site-packages\rpy2\robjects\functions.py", line 86, in _
_call__
return super(SignatureTranslatedFunction, self).__call__(*args, **kwargs)
File "D:\Python27\lib\site-packages\rpy2\robjects\functions.py", line 35, in _
_call__
res = super(Function, self).__call__(*new_args, **new_kwargs)
rpy2.rinterface.RRuntimeError: Error in if (is.na(gcm$distance)) { : argument is
of length zero
Because the process of generating and adapting the input data is complicated I only made a simplified script to ilustrate the error i'm receiving.
#data works
#reference = [[-0.126678, -1.541763, 0.29985, 1.719757, 0.755798, -3.594681, -1.492798, 3.493042], [-0.110596, -1.638184, 0.128174, 1.638947, 0.721085, -3.247696, -0.920013, 3.763977], [-0.022415, -1.643539, -0.130692, 1.441742, 1.022064, -2.882172, -0.952225, 3.662842], [0.071259, -2.030411, -0.531891, 0.835114, 1.320419, -2.432281, -0.469116, 3.871094], [0.070526, -2.056702, -0.688293, 0.530396, 1.962128, -1.681915, -0.368973, 4.542419], [0.047745, -2.005127, -0.798203, 0.616028, 2.146988, -1.895874, 0.371597, 4.090881], [0.013962, -2.162796, -1.008545, 0.363495, 2.062866, -0.856613, 0.543884, 4.043335], [0.066757, -2.152969, -1.087097, 0.257263, 2.592697, -0.422424, -0.280533, 3.327576], [0.123123, -2.061035, -1.012863, 0.389282, 2.50206, 0.078186, -0.887711, 2.828247], [0.157455, -2.060425, -0.790344, 0.210419, 2.542114, 0.016983, -0.959274, 1.916504], [0.029648, -2.128204, -1.047318, 0.116547, 2.44899, 0.166534, -0.677551, 2.49231], [0.158554, -1.821365, -1.045044, 0.374207, 2.426712, 0.406952, -1.055084, 2.543762], [0.077026, -1.863235, -1.14827, 0.277069, 2.669067, 0.362549, -1.294342, 1.66748], [0.101822, -1.800293, -1.126801, 0.364594, 2.503815, 0.294846, -0.881302, 1.281616], [0.166138, -1.627762, -0.866013, 0.494476, 2.450668, 0.569, -1.392868, 0.651184], [0.225006, -1.596069, -1.07634, 0.550049, 2.167435, 0.554123, -1.432983, 1.166931], [0.114777, -1.462769, -0.793167, 0.565704, 2.183792, 0.345978, -1.410919, 0.708679], [0.144028, -1.444458, -0.831985, 0.536652, 2.222366, 0.330368, -0.715149, 0.517212], [0.147888, -1.450577, -0.809372, 0.479584, 2.271378, 0.250763, -0.540359, -0.036072], [0.090714, -1.485474, -0.888153, 0.268768, 2.001221, 0.412537, -0.698868, 0.17157], [0.11972, -1.382767, -0.890457, 0.218414, 1.666519, 0.659592, -0.069641, 0.914307], [0.189774, -1.18428, -0.785797, 0.106659, 1.429977, 0.195236, 0.627029, 0.503296], [0.194702, -1.098068, -0.956818, 0.020386, 1.369247, 0.10437, 0.641724, 0.410767], [0.215134, -1.069092, -1.11644, 0.283234, 1.313507, 0.110962, 0.600861, 0.752869], [0.216766, -1.065338, -1.047974, 0.080231, 1.500702, -0.113388, 0.712646, 0.914307], [0.259933, -0.964386, -0.981369, 0.092224, 1.480667, -0.00238, 0.896255, 0.665344], [0.265991, -0.935257, -0.93779, 0.214966, 1.235275, 0.104782, 1.33754, 0.599487], [0.266098, -0.62619, -0.905792, 0.131409, 0.402908, 0.103363, 1.352814, 1.554688], [0.273468, -0.354691, -0.709579, 0.228027, 0.315125, -0.15564, 0.942123, 1.024292], [0.246429, -0.272522, -0.609924, 0.318604, -0.007355, -0.165756, 1.07019, 1.087708], [0.248596, -0.232468, -0.524887, 0.53009, -0.476334, -0.184479, 1.088089, 0.667358], [0.074478, -0.200455, -0.058411, 0.662811, -0.111923, -0.686462, 1.205154, 1.271912], [0.063065, -0.080765, 0.065552, 0.79071, -0.569946, -0.899506, 0.875687, 0.095215], [0.117706, -0.270584, -0.021027, 0.723694, -0.200073, -0.365158, 0.892624, -0.152466], [0.00148, -0.075348, 0.017761, 0.757507, 0.719299, -0.355362, 0.749329, 0.315247], [0.035034, -0.110794, 0.038559, 0.949677, 0.478699, 0.005951, 0.097305, -0.388245], [-0.101944, -0.392487, 0.401886, 1.154938, 0.199127, 0.117371, -0.070007, -0.562439], [-0.083282, -0.388657, 0.449066, 1.505951, 0.46405, -0.566208, 0.216293, -0.528076], [-0.152054, -0.100113, 0.833054, 1.746857, 0.085861, -1.314102, 0.294632, -0.470947], [-0.166672, -0.183777, 0.988373, 1.925262, -0.202057, -0.961441, 0.15242, 0.594421], [-0.234573, -0.227707, 1.102112, 1.802002, -0.382492, -1.153336, 0.29335, 0.074036], [-0.336426, 0.042435, 1.255096, 1.804535, -0.610153, -0.810745, 1.308441, 0.599854], [-0.359344, 0.007248, 1.344543, 1.441559, -0.758286, -0.800079, 1.0233, 0.668213], [-0.321823, 0.027618, 1.1521, 1.509827, -0.708267, -0.668152, 1.05722, 0.710571], [-0.265335, 0.012344, 1.491501, 1.844971, -0.584137, -1.042419, -0.449188, 0.5354], [-0.302399, 0.049698, 1.440643, 1.674866, -0.626633, -1.158554, -0.906937, 0.405579], [-0.330276, 0.466675, 1.444153, 0.855499, -0.645447, -0.352158, 0.730423, 0.429932], [-0.354721, 0.540207, 1.570786, 0.626648, -0.897446, -0.007416, 0.174042, 0.100525], [-0.239609, 0.669983, 0.978851, 0.85321, -0.156784, 0.107986, 0.915054, 0.114197], [-0.189346, 0.930756, 0.824295, 0.516083, -0.339767, -0.206314, 0.744049, -0.36377]]
#query = [[0.387268, -1.21701, -0.432266, -1.394104, -0.458984, -1.469788, 0.12764, 2.310059], [0.418091, -1.389526, -0.150146, -0.759155, -0.578003, -2.123199, 0.276001, 3.022339], [0.264694, -1.526886, -0.238907, -0.511108, -0.90683, -2.699249, 0.692032, 2.849854], [0.246628, -1.675171, -0.533432, 0.070007, -0.392151, -1.739227, 0.534485, 2.744019], [0.099335, -1.983826, -0.985291, 0.428833, 0.26535, -1.285583, -0.234451, 2.4729], [0.055893, -2.108063, -0.401825, 0.860413, 0.724106, -1.959137, -1.360458, 2.350708], [-0.131592, -1.928314, -0.056213, 0.577698, 0.859146, -1.812286, -1.21669, 2.2052], [-0.162796, -2.149933, 0.467239, 0.524231, 0.74913, -1.829498, -0.741913, 1.616577], [-0.282745, -1.971008, 0.837616, 0.56427, 0.198288, -1.826935, -0.118027, 1.599731], [-0.497223, -1.578705, 1.277298, 0.682983, 0.055084, -2.032562, 0.64151, 1.719238], [-0.634232, -1.433258, 1.760513, 0.550415, -0.053787, -2.188568, 1.666687, 1.611938], [-0.607498, -1.302826, 1.960556, 1.331726, 0.417633, -2.271973, 2.095001, 0.9823], [-0.952957, -0.222076, 0.772064, 2.062256, -0.295258, -1.255371, 3.450974, -0.047607], [-1.210587, 1.00061, 0.036392, 1.952209, 0.470123, 0.231628, 2.670502, -0.608276], [-1.213287, 0.927002, -0.414825, 2.104065, 1.160126, 0.088898, 1.32959, -0.018311], [-1.081558, 1.007751, -0.337509, 1.7146, 0.653687, 0.297089, 1.916733, -0.772461], [-1.064804, 1.284302, -0.393585, 2.150635, 0.132294, 0.443298, 1.967575, 0.775513], [-0.972366, 1.039734, -0.588135, 1.413818, 0.423813, 0.781494, 1.977509, -0.556274], [-0.556381, 0.591309, -0.678314, 1.025635, 1.094284, 2.234711, 1.504013, -1.71875], [-0.063477, 0.626129, 0.360489, 0.149902, 0.92804, 0.936493, 1.203018, 0.264282], [0.162003, 0.577698, 0.956863, -0.477051, 1.081161, 0.817749, 0.660843, -0.428711], [-0.049515, 0.423615, 0.82489, 0.446228, 1.323853, 0.562775, -0.144196, 1.145386], [-0.146851, 0.171906, 0.304871, 0.320435, 1.378937, 0.673004, 0.188416, 0.208618], [0.33992, -2.072418, -0.447968, 0.526794, -0.175858, -1.400299, -0.452454, 1.396606], [0.226089, -2.183441, -0.301071, -0.475159, 0.834961, -2.191864, -1.092361, 2.434814], [0.279556, -2.073181, -0.517639, -0.766479, 0.974808, -2.070374, -2.003891, 2.706421], [0.237961, -1.9245, -0.708435, -0.582153, 1.285934, -1.75882, -2.146164, 2.369995], [0.149658, -1.703705, -0.539749, -0.215332, 1.369705, -1.484802, -1.506256, 1.04126], [0.078735, -1.719543, 0.157013, 0.382385, 1.100998, -0.223755, 0.021683, -0.545654], [0.106003, -1.404358, 0.372345, 1.881165, -0.292511, -0.263855, 1.579529, -1.426025], [0.047729, -1.198608, 0.600769, 1.901123, -1.106949, 0.128815, 1.293701, -1.364258], [0.110748, -0.894348, 0.712601, 1.728699, -1.250381, 0.674377, 0.812302, -1.428833], [0.085754, -0.662903, 0.794312, 1.102844, -1.234283, 1.084442, 0.986938, -1.10022], [0.140823, -0.300323, 0.673508, 0.669983, -0.551453, 1.213074, 1.449326, -1.567261], [0.03743, 0.550293, 0.400909, -0.174622, 0.355301, 1.325867, 0.875854, 0.126953], [-0.084885, 1.128906, 0.292099, -0.248779, 0.722961, 0.873871, -0.409515, 0.470581], [0.019684, 0.947754, 0.19931, -0.306274, 0.176849, 1.431702, 1.091507, 0.701416], [-0.094162, 0.895203, 0.687378, -0.229065, 0.549088, 1.376953, 0.892303, -0.642334], [-0.727692, 0.626495, 0.848877, 0.521362, 1.521912, -0.443481, 1.247238, 0.197388], [-0.82048, 0.117279, 0.975174, 1.487244, 1.085281, -0.567993, 0.776093, -0.381592], [-0.009827, -0.553009, -0.213135, 0.837341, 0.482712, -0.939423, 0.140884, 0.330566], [-0.018127, -1.362335, -0.199265, 1.260742, 0.005188, -1.445068, -1.159653, 1.220825], [0.186172, -1.727814, -0.246552, 1.544128, 0.285416, 0.081848, -1.634003, -0.47522], [0.193649, -1.144043, -0.334854, 1.220276, 1.241302, 1.554382, 0.57048, -1.334961], [0.344604, -1.647461, -0.720749, 0.993774, 0.585709, 0.953522, -0.493042, -1.845703], [0.37471, -1.989471, -0.518555, 0.555908, -0.025787, 0.148132, -1.463425, -0.844849], [0.34523, -1.821625, -0.809418, 0.59137, -0.577927, 0.037903, -2.067764, -0.519531], [0.413193, -1.503876, -0.752243, 0.280396, -0.236206, 0.429932, -1.684097, -0.724731], [0.331299, -1.349243, -0.890121, -0.178589, -0.285721, 0.809875, -2.012329, -0.157227], [0.278946, -1.090057, -0.670441, -0.477539, -0.267105, 0.446045, -1.95668, 0.501343], [0.127304, -0.977112, -0.660324, -1.011658, -0.547409, 0.349182, -1.357574, 1.045654], [0.217728, -0.793182, -0.496262, -1.259949, -0.128937, 0.38855, -1.513306, 1.863647], [0.240143, -0.891541, -0.619995, -1.478577, -0.361481, 0.258362, -1.630585, 1.841064], [0.241547, -0.758453, -0.515442, -1.370605, -0.428238, 0.23996, -1.469406, 1.307617], [0.289948, -0.714661, -0.533798, -1.574036, 0.017929, -0.368317, -1.290283, 0.851563], [0.304916, -0.783752, -0.459915, -1.523621, -0.107651, -0.027649, -1.089905, 0.969238], [0.27179, -0.795593, -0.352432, -1.597656, -0.001678, -0.06189, -1.072495, 0.637329], [0.301956, -0.823578, -0.152115, -1.637634, 0.2034, -0.214508, -1.315491, 0.773071], [0.282486, -0.853271, -0.162094, -1.561096, 0.15686, -0.289307, -1.076874, 0.673706], [0.299881, -0.97052, -0.051086, -1.431152, -0.074692, -0.32428, -1.385452, 0.684326], [0.220886, -1.072266, -0.269531, -1.038269, 0.140533, -0.711273, -1.7453, 1.090332], [0.177628, -1.229126, -0.274292, -0.943481, 0.483246, -1.214447, -2.026321, 0.719971], [0.176987, -1.137543, -0.007645, -0.794861, 0.965118, -1.084717, -2.37677, 0.598267], [0.135727, -1.36795, 0.09462, -0.776367, 0.946655, -1.157959, -2.794403, 0.226074], [0.067337, -1.648987, 0.535721, -0.665833, 1.506119, -1.348755, -3.092728, 0.281616], [-0.038101, -1.437347, 0.983917, -0.280762, 1.880722, -1.351318, -3.002258, -0.599609], [-0.152573, -1.146027, 0.717545, -0.60321, 2.126541, -0.59198, -2.282028, -1.048584], [-0.113525, -0.629669, 0.925323, 0.465393, 2.368698, -0.352661, -1.969391, -0.915161], [-0.140121, -0.311951, 0.884262, 0.809021, 1.557693, -0.552429, -1.776062, -0.925537], [-0.189423, -0.117767, 0.975174, 1.595032, 1.284485, -0.698639, -2.007202, -1.307251], [-0.048874, -0.176941, 0.820679, 1.306519, 0.584259, -0.913147, -0.658066, -0.630981], [-0.127594, 0.33313, 0.791336, 1.400696, 0.685577, -1.500275, -0.657959, -0.207642], [-0.044128, 0.653351, 0.615326, 0.476685, 1.099625, -0.902893, -0.154449, 0.325073], [-0.150223, 1.059845, 1.208405, -0.038635, 0.758667, 0.458038, -0.178909, -0.998657], [-0.099854, 1.127197, 0.789871, -0.013611, 0.452805, 0.736176, 0.948273, -0.236328], [-0.250275, 1.188568, 0.935989, 0.34314, 0.130463, 0.879913, 1.669037, 0.12793], [-0.122818, 1.441223, 0.670029, 0.389526, -0.15274, 1.293549, 1.22908, -1.132568]]
#this one doesn't
reference = [[-0.453598, -2.439209, 0.973587, 1.362091, -0.073654, -1.755112, 1.090057, 4.246765], [-0.448502, -2.621201, 0.723282, 1.257324, 0.26619, -1.375351, 1.328735, 4.46991], [-0.481247, -2.29718, 0.612854, 1.078033, 0.309708, -2.037506, 1.056305, 3.181702], [-0.42482, -2.306702, 0.436157, 1.529907, 0.50708, -1.930069, 0.653198, 3.561768], [-0.39032, -2.361343, 0.589294, 1.965607, 0.611801, -2.417084, 0.035675, 3.381104], [-0.233444, -2.281525, 0.703171, 2.17868, 0.519257, -2.474442, -0.502808, 3.569153], [-0.174652, -1.924591, 0.180267, 2.127075, 0.250626, -2.208527, -0.396591, 2.565552], [-0.121078, -1.53801, 0.234344, 2.221039, 0.845367, -1.516205, -0.174149, 1.298645], [-0.18631, -1.047806, 0.629654, 2.073303, 0.775024, -1.931076, 0.382706, 2.278442], [-0.160477, -0.78743, 0.694214, 1.917572, 0.834885, -1.574707, 0.780045, 2.370422], [-0.203659, -0.427246, 0.726486, 1.548767, 0.465698, -1.185379, 0.555206, 2.619629], [-0.208298, -0.393707, 0.771881, 1.646484, 0.612946, -0.996277, 0.658539, 2.499146], [-0.180679, -0.166656, 0.689209, 1.205994, 0.3918, -1.051483, 0.771072, 1.854553], [-0.1978, 0.082764, 0.723541, 1.019104, 0.165405, -0.127533, 1.0522, 0.552368], [-0.171127, 0.168533, 0.529541, 0.584839, 0.702011, -0.36525, 0.711792, 1.029114], [-0.224243, 0.38765, 0.916031, 0.45108, 0.708923, -0.059326, 1.016312, 0.437561], [-0.217072, -0.981766, 1.67363, 1.864014, 0.050812, -2.572815, -0.22937, 0.757996], [-0.284714, -0.784927, 1.720383, 1.782379, -0.093414, -2.492111, 0.623398, 0.629028], [-0.261169, -0.427979, 1.680038, 1.585358, 0.067093, -1.8181, 1.276291, 0.838989], [-0.183075, -0.08197, 1.094147, 1.120392, -0.117752, -0.86142, 1.94194, 0.966858], [-0.188919, 0.121521, 1.277664, 0.90979, 0.114288, -0.880875, 1.920517, 0.95752], [-0.226868, 0.338455, 0.78067, 0.803009, 0.347092, -0.387955, 0.641296, 0.374634], [-0.206329, 0.768158, 0.759537, 0.264099, 0.15979, 0.152618, 0.911636, -0.011597], [-0.230453, 0.495941, 0.547165, 0.137604, 0.36377, 0.594406, 1.168839, 0.125916], [0.340851, -0.382736, -1.060455, -0.267792, 1.1306, 0.595047, -1.544922, -1.6828], [0.341492, -0.325836, -1.07164, -0.215607, 0.895645, 0.400177, -0.773956, -1.827515], [0.392075, -0.305389, -0.885422, -0.293427, 0.993225, 0.66655, -1.061218, -1.730713], [0.30191, -0.339005, -0.877853, 0.153992, 0.986588, 0.711823, -1.100525, -1.648376], [0.303574, -0.491241, -1.000183, 0.075378, 0.686295, 0.752792, -1.192123, -1.744568], [0.315781, -0.629456, -0.996063, 0.224731, 1.074173, 0.757736, -1.170807, -2.08313], [0.313675, -0.804688, -1.00325, 0.431641, 0.685883, 0.538879, -0.988373, -2.421326], [0.267181, -0.790329, -0.726974, 0.853027, 1.369629, -0.213638, -1.708023, -1.977844], [0.304459, -0.935257, -0.778061, 1.042633, 1.391861, -0.296768, -1.562164, -2.014099], [0.169754, -0.792953, -0.481842, 1.404236, 0.766983, -0.29805, -1.587265, -1.25531], [0.15918, -0.9814, -0.197662, 1.748718, 0.888367, -0.880234, -1.64949, -1.359802], [0.028244, -0.772934, -0.186172, 1.594238, 0.863571, -1.224701, -1.153183, -0.292664], [-0.020401, -0.461578, 0.368088, 1.000366, 1.079636, -0.389603, -0.144409, 0.651733], [0.018555, -0.725418, 0.632599, 1.707336, 0.535049, -1.783859, -0.916122, 1.557007], [-0.038971, -0.797668, 0.820419, 1.483093, 0.350494, -1.465073, -0.786453, 1.370361], [-0.244888, -0.469513, 1.067978, 1.028809, 0.4879, -1.796585, -0.77887, 1.888977], [-0.260193, -0.226593, 1.141754, 1.21228, 0.214005, -1.200943, -0.441177, 0.532715], [-0.165283, 0.016129, 1.263016, 0.745514, -0.211288, -0.802368, 0.215698, 0.316406], [-0.353134, 0.053787, 1.544189, 0.21106, -0.469086, -0.485367, 0.767761, 0.849548], [-0.330215, 0.162704, 1.570053, 0.304718, -0.561172, -0.410294, 0.895126, 0.858093], [-0.333847, 0.173904, 1.56958, 0.075531, -0.5569, -0.259552, 1.276764, 0.749084], [-0.347107, 0.206665, 1.389832, 0.50473, -0.721664, -0.56955, 1.542618, 0.817444], [-0.299057, 0.140244, 1.402924, 0.215363, -0.62767, -0.550461, 1.60788, 0.506958], [-0.292084, 0.052063, 1.463348, 0.290497, -0.462875, -0.497452, 1.280609, 0.261841], [-0.279877, 0.183548, 1.308609, 0.305756, -0.6483, -0.374771, 1.647781, 0.161865], [-0.28389, 0.27916, 1.148636, 0.466736, -0.724442, -0.21991, 1.819901, -0.218872], [-0.275528, 0.309753, 1.192856, 0.398163, -0.828781, -0.268066, 1.763672, 0.116089], [-0.275284, 0.160019, 1.200623, 0.718628, -0.925552, -0.026596, 1.367447, 0.174866], [-0.302795, 0.383438, 1.10556, 0.441833, -0.968323, -0.137375, 1.851791, 0.357971], [-0.317078, 0.22876, 1.272217, 0.462219, -0.855789, -0.294296, 1.593994, 0.127502], [-0.304932, 0.207718, 1.156189, 0.481506, -0.866776, -0.340027, 1.670105, 0.657837], [-0.257217, 0.155655, 1.041428, 0.717926, -0.761597, -0.17244, 1.114151, 0.653503], [-0.321426, 0.292358, 0.73848, 0.422607, -0.850754, -0.057907, 1.462357, 0.697754], [-0.34642, 0.361526, 0.69722, 0.585175, -0.464508, -0.26651, 1.860596, 0.106201], [-0.339844, 0.584229, 0.542603, 0.184937, -0.341263, 0.085648, 1.837311, 0.160461], [-0.32338, 0.661224, 0.512833, 0.319702, -0.195572, 0.004028, 1.046799, 0.233704], [-0.346329, 0.572388, 0.385986, 0.118988, 0.057556, 0.039001, 1.255081, -0.18573], [-0.383392, 0.558395, 0.553391, -0.358612, 0.443573, -0.086014, 0.652878, 0.829956], [-0.420395, 0.668991, 0.64856, -0.021271, 0.511475, 0.639221, 0.860474, 0.463196], [-0.359039, 0.748672, 0.522964, -0.308899, 0.717194, 0.218811, 0.681396, 0.606812], [-0.323914, 0.942627, 0.249069, -0.418365, 0.673599, 0.797974, 0.162674, 0.120361], [-0.411301, 0.92775, 0.493332, -0.286346, 0.165054, 0.63446, 1.085571, 0.120789], [-0.346191, 0.632309, 0.635056, -0.402496, 0.143814, 0.785614, 0.952164, 0.482727], [-0.203812, 0.789261, 0.240433, -0.47699, -0.12912, 0.91832, 1.145493, 0.052002], [-0.048203, 0.632095, 0.009583, -0.53833, 0.232727, 1.293045, 0.308151, 0.188904], [-0.062393, 0.732315, 0.06694, -0.697144, 0.126221, 0.864578, 0.581635, -0.088379]]
query = [[-0.113144, -3.316223, -1.101563, -2.128418, 1.853867, 3.61972, 1.218185, 1.71228], [-0.128952, -3.37915, -1.152237, -2.033081, 1.860199, 4.008179, 0.445938, 1.665894], [-0.0392, -2.976654, -0.888245, -1.613953, 1.638641, 3.849518, 0.034073, 0.768188], [-0.146042, -2.980713, -1.044113, -1.44397, 0.954514, 3.20929, -0.232422, 1.050781], [-0.155029, -2.997192, -1.064438, -1.369873, 0.67688, 2.570709, -0.855347, 1.523438], [-0.102341, -2.686401, -1.029648, -1.00531, 0.950089, 1.933228, -0.526367, 1.598633], [-0.060272, -2.538727, -1.278259, -0.65332, 0.630875, 1.459717, -0.264038, 1.872925], [0.064087, -2.592682, -1.112823, -0.775024, 0.848618, 0.810883, 0.298965, 2.312134], [0.111557, -2.815277, -1.203506, -1.173584, 0.54863, 0.46756, -0.023071, 3.029053], [0.266068, -2.624786, -1.089066, -0.864136, 0.055389, 0.619446, -0.160965, 2.928589], [0.181488, -2.31073, -1.307785, -0.720276, 0.001297, 0.534668, 0.495499, 2.989502], [0.216202, -2.25354, -1.288193, -0.902039, -0.152283, -0.060791, 0.566315, 2.911621], [0.430084, -2.0289, -1.099594, -1.091736, -0.302505, -0.087799, 0.955963, 2.677002], [0.484253, -1.412842, -0.881882, -1.087158, -1.064072, -0.145935, 1.437683, 2.606567], [0.339081, -1.277222, -1.24498, -1.048279, -0.219498, 0.448517, 1.168625, 0.563843], [0.105728, 0.138275, -1.01413, -0.489868, 1.319275, 1.604645, 1.634003, -0.94812], [-0.209061, 1.025665, 0.180405, 0.955566, 1.527405, 0.91745, 1.951233, -0.40686], [-0.136993, 1.332275, 0.639862, 1.277832, 1.277313, 0.361267, 0.390717, -0.728394], [-0.217758, 1.416718, 1.080002, 0.816101, 0.343933, -0.154175, 1.10347, -0.568848]]
reference = np.array( reference )
query = np.array( query )
rpy2.robjects.numpy2ri.activate()
# Set up our R namespaces
R = rpy2.robjects.r
rNull = R("NULL")
rprint = rpy2.robjects.globalenv.get("print")
rplot = rpy2.robjects.r('plot')
distConstr = rpy2.robjects.r('proxy::dist')
DTW = importr('dtw')
stepName = "asymmetricP05"
stepPattern = rpy2.robjects.r( stepName )
canDist = distConstr( reference, query, "Euclidean" ) #
alignment = R.dtw(canDist, rNull, "Euclidean", stepPattern, "none", True, False, True, False )
For some series the script doesn't generate the error but there are some which do. See the commented lines for examples. It is worth noting that for the classic constraint this error does not appear. I am thinking that perhaps I have not set-up something correct but I am no expert in python nor in R so that is why I was hoping that others who have used the R DTW can help me on this. I am sorry for the long lines for reference and query (the data is from outputting the MFCC's of a 2 second wav file).

One of the two series is too short to be compatible with the fancy step pattern you chose. Use the common symmetric2 pattern, which does not restrict slopes, before the more exotic ones.

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Output not displaying full list of elements appended - python

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