query ST_Intersection can not be executed - python

i would like to know why the below query can not be executed correctly. at run time, i receive the following error:
psycopg2.errors.SyntaxError: ERROR: Syntax error at "POLYGON
LINE 3: ...80686137,341582.926185573 5664907.52304833))', '('POLYGON((3...
query:
SELECT
ST_AsGeoJSON(ST_Transform(ST_SetSRID(ST_Intersection('POLYGON((341582.926185573 5664907.52304833,341575.683224445 5664907.35568754,341570.721317796 5664906.4899687,341561.615108002 5664905.7485185,341552.526006123 5664906.67643674,341543.757489292 5664909.24274105,341535.602330588 5664913.36174478,341523.663067557 5664920.83366159,341515.792551265 5664926.92817452,341509.285315952 5664934.46103608,341504.399277492 5664943.13367944,341501.328095218 5664952.60236224,341500.193496197 5664962.49179093,341501.040450539 5664972.40999555,341503.835389 5664981.96386564,341508.467533508 5664990.7747312,341514.753287875 5664998.49337141,341522.443514683 5665004.81385606,341539.413063357 5665016.13260517,341548.559454183 5665020.94886898,341558.500758472 5665023.78141752,341568.812073497 5665024.50918443,341579.052681849 5665023.10106412,341588.784888202 5665019.61724126,341597.592726915 5665014.20661843,341605.099740876 5665007.10045184,341619.7131272 5664990.07359853,341625.55190488 5664981.66019985,341629.55405225 5664972.23367245,341631.551676661 5664962.18946522,341631.46097649 5664951.94893908,341629.285756667 5664941.94169066,341625.117269058 5664932.58753045,341619.130384389 5664924.27887146,341611.57625631 5664917.36426727,341602.771785333 5664912.13378995,341593.08632466 5664908.80686137,341582.926185573 5664907.52304833))', '('POLYGON((341581.771159881 5664957.5097057,341567.157773557 5664974.53655901,341550.188224884 5664963.21780991,341562.127487915 5664955.74589309,341570.781410334 5664957.25576908,341581.771159881 5664957.5097057))',)'),25832),4326))
code:
def executeWithFetchallForIntersectedGeometry(self,geom1,geom2):
query = """
SELECT
ST_AsGeoJSON(ST_Transform(ST_SetSRID(ST_Intersection('{geom1}', '{geom2}'),25832),4326))
""".format(geom1=geom1,geom2=geom2)
logger.debug("*: {0}".format(query))
data = self.connection.query(query,[])
# print(data)
return data

You put one single quote too many in your WKT strings. The syntax is the correct ..
SELECT
ST_AsGeoJSON(
ST_Transform(
ST_SetSRID(ST_Intersection('{geom1}',('{geom2}')),25832),
4326));
.. but the WKT literals aren't. The second polygon is wrapped between (' and ',), which is wrong. Correct it and the query should work: '('POLYGON((341581.771159881 5664957.5097057 ...))',)') should become 'POLYGON((341581.771159881 5664957.5097057 ...))':
SELECT
ST_AsGeoJSON(
ST_Transform(
ST_SetSRID(
ST_Intersection('POLYGON((341582.926185573 5664907.52304833,341575.683224445 5664907.35568754,341570.721317796 5664906.4899687,341561.615108002 5664905.7485185,341552.526006123 5664906.67643674,341543.757489292 5664909.24274105,341535.602330588 5664913.36174478,341523.663067557 5664920.83366159,341515.792551265 5664926.92817452,341509.285315952 5664934.46103608,341504.399277492 5664943.13367944,341501.328095218 5664952.60236224,341500.193496197 5664962.49179093,341501.040450539 5664972.40999555,341503.835389 5664981.96386564,341508.467533508 5664990.7747312,341514.753287875 5664998.49337141,341522.443514683 5665004.81385606,341539.413063357 5665016.13260517,341548.559454183 5665020.94886898,341558.500758472 5665023.78141752,341568.812073497 5665024.50918443,341579.052681849 5665023.10106412,341588.784888202 5665019.61724126,341597.592726915 5665014.20661843,341605.099740876 5665007.10045184,341619.7131272 5664990.07359853,341625.55190488 5664981.66019985,341629.55405225 5664972.23367245,341631.551676661 5664962.18946522,341631.46097649 5664951.94893908,341629.285756667 5664941.94169066,341625.117269058 5664932.58753045,341619.130384389 5664924.27887146,341611.57625631 5664917.36426727,341602.771785333 5664912.13378995,341593.08632466 5664908.80686137,341582.926185573 5664907.52304833))',
('POLYGON((341581.771159881 5664957.5097057,341567.157773557 5664974.53655901,341550.188224884 5664963.21780991,341562.127487915 5664955.74589309,341570.781410334 5664957.25576908,341581.771159881 5664957.5097057))')),25832),4326))
Demo: db<>fiddle

Related

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)

Passing list of strings as parameter to SQL query in Python

I have a Python program that generates a report for returns. When run, a GUI pops up allowing the user to select categories from a list. I am trying to format my query so that the generated report only includes categories in the list of selected categories. The formatting for the start and end dates works so I'm not sure what I'm doing wrong for the category formatting.
The code for my GUI
options = ['Bags Children','Bags Mens','Bandanas & Handkerchiefs','Belts Children','Belts Mens','Belts Womens','Cold Weather Childrens','Cold Weather Mens','Cold Weather Womens','Face Masks','Handbags Womens','Headwear Childrens',\
'Headwear Mens','Headwear Womens','Jewelry Mens','Scarves & Wraps Womens','Sleepwear Childrens','Sleepwear Mens','Sleepwear Womens','Slippers Childrens','Slippers Mens','Slippers Womens','Socks & Hosiery Childrens',\
'Socks & Hosiery Mens','Socks & Hosiery Womens','Sunglasses & Cases','Suspenders Childrens','Suspenders Mens','Suspenders Womens','Travel Accessories','Umbrellas & Rain Gear','Umbrellas & Rain Gear Childrens','Umbrellas & Rain Gear Mens',\
'Umbrellas & Rain Gear Womens','Undergarments Childrens','Undergarments Mens','Undergarments Womens','Waist Packs & Belt Bags','Wallets & Small Accessories Childrens','Wallets & Small Accessories Mens','Wallets & Small Accessories Womens',\
'Womens Wallets & Handbag Accessories']
text = "Select Category(ies): "
title = 'Returns Summary'
cat_output = multchoicebox(text, title, options)
title = 'Message Box'
message = "Selected Categories: " + str(cat_output)
msg = msgbox(message, title)
print(cat_output)
The output for print(cat_output) is in the format ['Face Masks', 'Belts Mens', 'Belts Womens'] displaying the selected categories.
GUI Display
The code for my SQL query
SQL1 = "SELECT i.Category, i.ItemName, r.OrderNumber, r.SKUReceived, r.UnitPrice, r.Quantity, o.CartID, o.MarketName, o.Email \
FROM Returns AS r INNER JOIN Orders AS o ON r.OrderNumber = o.OrderNumber INNER JOIN Inventory AS i ON i.LocalSKU = r.SKU \
WHERE (((r.Date) between '%s' and '%s') AND ((r.UnitPrice)>0) AND o.CartID != 12 AND r.Type = 'R' AND i.Category IN ({})) \
ORDER BY r.OrderNumber;".format(cat_output) % (start, end)
The Error I get
Traceback
<module> Z:\Python\Returns Summary 3.0.py 381
GetReturns Z:\Python\Returns Summary 3.0.py 279
ProgrammingError: ('42S22', "[42S22] [Microsoft][ODBC Driver 17 for SQL Server][SQL Server]Invalid column name ''Bags Children', 'Belts Womens', 'Headwear Mens', 'Sleepwear Childrens''. (207) (SQLExecDirectW)")
SQL syntax suggests IN clause like … IN (‘m’,’l’). From what I see in the question, you have it like …IN ([‘m’,’l’]).
Try to use .format(“,”.join(repr(x) for x in cat_output))

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: 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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: 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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

SQL statement to sqlalchemy ORM query API

I have the following SQL statement which works as expected, but I want to do the same thing using the Query API of sqlalchemy, I tried the following but it returns empty. Any idea how I can get this SQL statement by composing the Query API operations?
The raw SQL statement is:
SELECT COUNT(mid), mname
FROM(
SELECT missions._id AS mid, missions.name AS mname
FROM missions
INNER JOIN mission_ownership
ON missions._id = mission_ownership.mission_id
INNER JOIN mission_agencies
ON mission_agencies._id = mission_ownership.mission_agency_id
WHERE mission_agencies.name = 'Nasa'
)
GROUP BY mid
HAVING COUNT(mid) > 1
What I currently have using the ORM Query API:
nasa_and_esa_missions = session.query(func.count(Mission._id), Mission).\
join(mission_ownership). \
join(MissionAgency).\
filter(MissionAgency.name == 'Nasa').\
group_by(Mission._id).\
having(func.count(Mission._id) > 1)
If no relationship has been configured between mission_ownership and mission_agency at the ORM level, this can be done by modelling the inner SELECT as a subquery:
subq = (session.query(Mission._id.label('mid'), Mission.name.label('mname'))
.join(mission_ownership)
.join(MissionAgency)
.filter(MissionAgency.name == 'Nasa')
.subquery())
q = (session.query(subq.c.mid, Mission)
.group_by(subq.c.mid)
.having(sa.func.count(subq.c.mid) > 1))
for id_, m in q:
print(id_, m.name)
Which generates this SQL:
SELECT anon_1.mid AS anon_1_mid, missions._id AS missions__id, missions.name AS missions_name
FROM (SELECT missions._id AS mid, missions.name AS mname FROM missions
JOIN mission_ownership ON missions._id = mission_ownership.mission_id
JOIN mission_agencies ON mission_agencies._id = mission_ownership.mission_agency_id
WHERE mission_agencies.name = ?) AS anon_1, missions
GROUP BY anon_1.mid
HAVING count(anon_1.mid) > ?

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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