Why are values ​different from when I declare my tuple? [closed] - python

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I'm trying to understanding what is happening with my code but I couldn't obtain a solution.
Here is my code:
multipolygon = ((
(-58.89198482 -13.38147202, -58.89189251 -13.38147271, -58.89189321 -13.38156309, -58.89198552 -13.3815624,
-58.89207783 -13.38156171, -58.89217014 -13.38156102, -58.89226245 -13.38156032, -58.89235476 -13.38155963,
-58.89244706 -13.38155894, -58.89253937 -13.38155825, -58.89263168 -13.38155756, -58.89263097 -13.38146719,
-58.89253867 -13.38146788, -58.89244636 -13.38146857, -58.89235405 -13.38146926,
-58.89226174 -13.38146995, -58.89216943 -13.38147064, -58.89207712 -13.38147133,
-58.89198482 -13.38147202)
),
(
(-58.89484849 -13.38172171, -58.89484919 -13.38181209, -58.8949415 -13.38181139,
-58.89503381 -13.3818107, -58.89512612 -13.38181001, -58.89521843 -13.38180932,
-58.89521772 -13.38171894, -58.89531003 -13.38171825, -58.89540234 -13.38171756,
-58.89540163 -13.38162718, -58.89540092 -13.38153681, -58.89540022 -13.38144644,
-58.89530791 -13.38144713, -58.8952156 -13.38144782, -58.89512329 -13.38144851,
-58.89503098 -13.3814492, -58.89493868 -13.3814499, -58.89484637 -13.38145059,
-58.89484707 -13.38154096, -58.89484778 -13.38163134, -58.89484849 -13.38172171)
)
)
for poly in multipolygon:
print(poly)
The problem is when I print my multipolygon, the values are changing.
Here is the output:
(-72.27345684, -72.27336522, -72.27345629999999, -72.27354792, -72.27363954, -72.27373116, -72.27382277, -72.27391439, -72.274006, -72.27409762, -72.27418924, -72.27409816, -72.27400655, -72.27391493, -72.27382331, -72.27373169, -72.27364007, -72.27354845, -72.27345684)
(-72.27657020000001, -72.27666128, -72.27675289, -72.27684451, -72.27693613, -72.27702775, -72.27693666, -72.27702828, -72.2771199, -72.27702881, -72.27693773, -72.27684666, -72.27675504, -72.27666342, -72.2765718, -72.27648018000001, -72.27638858, -72.27629696, -72.27638802999999, -72.27647912, -72.27657020000001)
Why this is happening?


It looks like you're missing commas in the tuples which causes some values to be subtracted
From your code:
-58.89484849 -13.38172171
I'm assuming you mean for it to be -58.89484849, -13.38172171?
otherwise -58.89484849 -13.38172171 = 72.2765702 which matches the printed values


It does math since this is what you have inside your data structure
-58.89198482 -13.38147202 = -72.27345684


What is happening is that you are subtracting (-58.89189251 -13.38147271) before printing

Related

Convert Function Output into Dataframe in Python [closed]

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I am using nsepython library for data extraction. I was extracting lot size for particular symbol from function nse_get_fno_lot_sizes of nsepython library.
I want the output of function nse_get_fno_lot_sizes in dataframe format instead of current format.
Complete Code - https://github.com/aeron7/nsepython/blob/master/nsepython/rahu.py
nse_get_fno_lot_sizes function-
def nse_get_fno_lot_sizes(symbol="all",mode="list"):
url="https://archives.nseindia.com/content/fo/fo_mktlots.csv"
if(mode=="list"):
s=requests.get(url).text
res_dict = {}
for line in s.split('\n'):
if line != '' and re.search(',', line) and (line.casefold().find('symbol') == -1):
(code, name) = [x.strip() for x in line.split(',')[1:3]]
res_dict[code] = int(name)
if(symbol=="all"):
return res_dict
if(symbol!=""):
return res_dict[symbol.upper()]
if(mode=="pandas"):
payload = pd.read_csv(url)
if(symbol=="all"):
return payload
else:
payload = payload[(payload.iloc[:, 1] == symbol.upper())]
return payload
My Code-
print(nse_get_fno_lot_sizes("adaniports","pandas"))
print(type(nse_get_fno_lot_sizes))
Output-
UNDERLYING SYMBOL JUL-22 AUG-22 SEP-22 DEC-22 MAR-23 JUN-23 DEC-23 JUN-24 DEC-24 JUN-25 DEC-25 JUN-26 DEC-26 JUN-27
8 ADANI PORT & SEZ LTD ADANIPORTS 1250 1250 1250
<class 'function'>
I want to convert the output getting from the nse_get_fno_lot_sizes function as dataframe.
Documentation- https://aeron7.github.io/nsepython/documentation/nsetools.html#top-losers-gainers

Binary numbers to list [closed]

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I have written the following program in Python:
s = []
for e in random_key:
s = str(e)
print(s)
where the list random_key is
random_key = ['0011111011100101', '0000010111111011', '0011100110110100',
'1000010101010010', '0011001011001111', '1101101101110011',
'1100001111111011', '0000100000110100', '0101111010100101',
'1001100101100001']
The output of the program is
1111011010110011
1011000110011100
0011011001100010
0000011100100001
1111111010000100
0110110101100011
1011100011000101
1011101011100010
1101101101001010
1000011110110000
which is not correct. How can I fix the code?

If I am able to read your thoughts (not sure about that ..). Would you like them to 10 based numbers?
random_key = ['0011111011100101', '0000010111111011', '0011100110110100',
'1000010101010010', '0011001011001111', '1101101101110011',
'1100001111111011', '0000100000110100', '0101111010100101',
'1001100101100001']
numbers = [int(x, 2) for x in random_key]
print(numbers)
output
[16101, 1531, 14772, 34130, 13007, 56179, 50171, 2100, 24229, 39265]

Do you mean this?
s = list()
for e in random_key:
s.append(str(e))
print(s)
Returns:
['0011111011100101', '0000010111111011', '0011100110110100', '1000010101010010', '0011001011001111', '1101101101110011', '1100001111111011', '0000100000110100', '0101111010100101', '1001100101100001']

too many values to unpack in iterating tuple including tuple [closed]

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metro_areas = [
('Tokyo', 'JP', 36,933, (35.689722, 139.591593)),
('Delhi NCR', 'IN', 21.935, (38.52938, 77.39456)),
('Mexico City', 'MX', 30.194, (19.3452, -99.18284)),
('New York-Newark', 'US', 20.104, (40.80381, -74.5821)),
('Sao Paulo', 'BR', 19.842, (-23,494921, -49.474743))
]
fmt = '{:15} | {:9.4f} | {:9.4f}'
for name, cc, pop, (latitude, longtitude) in metro_areas:
if longtitude <= 0:
print(fmt.format(name, latitude, longtitude))
running code occurs error
Traceback (most recent call last):
File "tuple_unpacking.py", line 33, in <module>
for name, cc, pop, (latitude, longtitude) in metro_areas:
ValueError: too many values to unpack (expected 4)
this is exactly same code as in textbook, but occurs error.
What should I fix in code?

There is a typo in the first line of the list,
('Tokyo', 'JP', 36,933, (35.689722, 139.591593)),
should be,
('Tokyo', 'JP', 36.933, (35.689722, 139.591593)),

Python using multiple conditions inside a loop [closed]

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Closed 6 years ago.
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I am trying to use multiple conditions inside an if-else expression which is as:
from datetime import date, timedelta as td, datetime
import holidays
st_dt = '1/1/2017'
en_dt = '1/5/2017'
st_year = datetime.strptime(st_dt, "%m/%d/%Y").year
en_year = datetime.strptime(en_dt, "%m/%d/%Y").year
st_mnth = datetime.strptime(st_dt, "%m/%d/%Y").month
en_mnth = datetime.strptime(en_dt, "%m/%d/%Y").month
st_date = datetime.strptime(st_dt, "%m/%d/%Y").day
en_date = datetime.strptime(en_dt, "%m/%d/%Y").day
d1 = datetime(st_year, st_mnth, st_date, 0, 0, 0)
d2 = datetime(en_year, en_mnth, en_date, 0, 0, 0)
AllHours = []
i = 0
while(d1<=d2):
AllHours.append(d1)
d1 = d1 + td(hours=1)
us_holidays = holidays.UnitedStates()
HolidayWorkingDay = ['H' if x in us_holidays else 'W' for x in AllHours]
HE = [x.hour for x in AllHours]
DayDefn = ['Type1' if (x == 'H' and y>=7 and y<=23) else 'Type2' for x in HolidayWorkingDay and for y in HE]
So, in the above I am trying to make sure that if certain location in the lists HolidayWorkingDay and HE meet certain criteria I give them name 'Type1' else they are 'Type2'
But it fails on the last line because of bad syntax. I am not sure what the right way to write multiple expression is

If you want nested loops you should write last list comprehension like this (without and):
DayDefn = ['Type1' if (x == 'H' and y>=7 and y<=23) else 'Type2'
for x in HolidayWorkingDay for y in HE]

Issue when accessing hash by key [closed]

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Closed 6 years ago.
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I am doing my first Python project and I have the following code:
response = urlopen(request)
flights = response.read()
text_file = open("Output.txt", "w")
text_file.write(flights)
text_file.close()
minPrice = LARGE_CONSTANT
for flight in flights["Quotes"]
if(flight["MinPrice"] < minPrice)
minPrice = flight["MinPrice"]
I am getting this error:
for flight in flights["Quotes"]
^
SyntaxError: invalid syntax
It seems like a very basic issue, but I'm unable to figure out what's wrong.
The hash flights has the following content:
{"Quotes":[{"QuoteId":1,"MinPrice":721.0,"Direct":false,"OutboundLeg":{"CarrierIds":[],"OriginId":60987,"DestinationId":40074,"DepartureDate":"2016-05-15T00:00:00"},"InboundLeg":{"CarrierIds":[],"OriginId":40074,"DestinationId":60987,"DepartureDate":"2016-05-24T00:00:00"},"QuoteDateTime":"2016-04-16T13:58:00"},{"QuoteId":2,"MinPrice":490.0,"Direct":false,"OutboundLeg":{"CarrierIds":[835],"OriginId":50290,"DestinationId":42644,"DepartureDate":"2016-05-14T00:00:00"},"InboundLeg":{"CarrierIds":[1368],"OriginId":42563,"DestinationId":50290,"DepartureDate":"2016-05-23T00:00:00"},"QuoteDateTime":"2016-04-17T21:04:00"},{"QuoteId":3,"MinPrice":596.0,"Direct":false,"OutboundLeg":{"CarrierIds":[835],"OriginId":50290,"DestinationId":42644,"DepartureDate":"2016-05-28T00:00:00"},"InboundLeg":{"CarrierIds":[1710],"OriginId":42644,"DestinationId":50290,"DepartureDate":"2016-05-29T00:00:00"},"QuoteDateTime":"2016-04-07T22:10:00"},{"QuoteId":4,"MinPrice":574.0,"Direct":false,"OutboundLeg":{"CarrierIds":[881],"OriginId":60987,"DestinationId":42664,"DepartureDate":"2016-05-06T00:00:00"},"InboundLeg":{"CarrierIds":[881],"OriginId":42664,"DestinationId":60987,"DepartureDate":"2016-05-08T00:00:00"},"QuoteDateTime":"2016-04-13T02:09:00"},{"QuoteId":5,"MinPrice":856.0,"Direct":true,"OutboundLeg":{"CarrierIds":[1368],"OriginId":50290,"DestinationId":42664,"DepartureDate":"2016-05-05T00:00:00"},"InboundLeg":{"CarrierIds":[1368],"OriginId":42664,"DestinationId":50290,"DepartureDate":"2016-05-10T00:00:00"},"QuoteDateTime":"2016-04-15T23:11:00"},{"QuoteId":6,"MinPrice":741.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1033],"OriginId":60987,"DestinationId":43139,"DepartureDate":"2016-05-09T00:00:00"},"InboundLeg":{"CarrierIds":[1033],"OriginId":43139,"DestinationId":60987,"DepartureDate":"2016-05-16T00:00:00"},"QuoteDateTime":"2016-04-15T16:28:00"},{"QuoteId":7,"MinPrice":729.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1324],"OriginId":65633,"DestinationId":45676,"DepartureDate":"2016-05-07T00:00:00"},"InboundLeg":{"CarrierIds":[1324],"OriginId":45676,"DestinationId":60987,"DepartureDate":"2016-05-14T00:00:00"},"QuoteDateTime":"2016-04-07T05:58:00"},{"QuoteId":8,"MinPrice":848.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1033],"OriginId":60987,"DestinationId":47777,"DepartureDate":"2016-05-09T00:00:00"},"InboundLeg":{"CarrierIds":[1033],"OriginId":47777,"DestinationId":60987,"DepartureDate":"2016-05-16T00:00:00"},"QuoteDateTime":"2016-04-09T10:48:00"},{"QuoteId":9,"MinPrice":804.0,"Direct":true,"OutboundLeg":{"CarrierIds":[1368],"OriginId":50290,"DestinationId":49369,"DepartureDate":"2016-05-27T00:00:00"},"InboundLeg":{"CarrierIds":[1368],"OriginId":49369,"DestinationId":50290,"DepartureDate":"2016-05-30T00:00:00"},"QuoteDateTime":"2016-04-18T09:39:00"},{"QuoteId":10,"MinPrice":576.0,"Direct":false,"OutboundLeg":{"CarrierIds":[838],"OriginId":50290,"DestinationId":49369,"DepartureDate":"2016-05-03T00:00:00"},"InboundLeg":{"CarrierIds":[838],"OriginId":49369,"DestinationId":60987,"DepartureDate":"2016-05-05T00:00:00"},"QuoteDateTime":"2016-04-09T15:12:00"},{"QuoteId":11,"MinPrice":726.0,"Direct":false,"OutboundLeg":{"CarrierIds":[881],"OriginId":60987,"DestinationId":49793,"DepartureDate":"2016-05-17T00:00:00"},"InboundLeg":{"CarrierIds":[881],"OriginId":49793,"DestinationId":60987,"DepartureDate":"2016-05-24T00:00:00"},"QuoteDateTime":"2016-04-17T21:30:00"},{"QuoteId":12,"MinPrice":1172.0,"Direct":false,"OutboundLeg":{"CarrierIds":[],"OriginId":60987,"DestinationId":50340,"DepartureDate":"2016-05-01T00:00:00"},"InboundLeg":{"CarrierIds":[],"OriginId":50340,"DestinationId":60987,"DepartureDate":"2016-05-04T00:00:00"},"QuoteDateTime":"2016-04-12T15:01:00"},{"QuoteId":13,"MinPrice":666.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1907],"OriginId":65633,"DestinationId":54353,"DepartureDate":"2016-05-10T00:00:00"},"InboundLeg":{"CarrierIds":[1907],"OriginId":54353,"DestinationId":65633,"DepartureDate":"2016-05-21T00:00:00"},"QuoteDateTime":"2016-04-04T01:14:00"},{"QuoteId":14,"MinPrice":802.0,"Direct":true,"OutboundLeg":{"CarrierIds":[1368],"OriginId":50290,"DestinationId":54353,"DepartureDate":"2016-05-18T00:00:00"},"InboundLeg":{"CarrierIds":[1368],"OriginId":54353,"DestinationId":50290,"DepartureDate":"2016-05-25T00:00:00"},"QuoteDateTime":"2016-04-18T01:59:00"},{"QuoteId":15,"MinPrice":754.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1324],"OriginId":60987,"DestinationId":59078,"DepartureDate":"2016-05-15T00:00:00"},"InboundLeg":{"CarrierIds":[1324],"OriginId":59078,"DestinationId":60987,"DepartureDate":"2016-05-22T00:00:00"},"QuoteDateTime":"2016-04-15T01:55:00"},{"QuoteId":16,"MinPrice":1375.0,"Direct":false,"OutboundLeg":{"CarrierIds":[881],"OriginId":50290,"DestinationId":59117,"DepartureDate":"2016-05-06T00:00:00"},"InboundLeg":{"CarrierIds":[881],"OriginId":59117,"DestinationId":50290,"DepartureDate":"2016-05-13T00:00:00"},"QuoteDateTime":"2016-04-06T09:28:00"},{"QuoteId":17,"MinPrice":893.0,"Direct":false,"OutboundLeg":{"CarrierIds":[881],"OriginId":50290,"DestinationId":60946,"DepartureDate":"2016-05-10T00:00:00"},"InboundLeg":{"CarrierIds":[881],"OriginId":60946,"DestinationId":60987,"DepartureDate":"2016-05-17T00:00:00"},"QuoteDateTime":"2016-04-10T16:56:00"},{"QuoteId":18,"MinPrice":735.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1324],"OriginId":60987,"DestinationId":65393,"DepartureDate":"2016-05-16T00:00:00"},"InboundLeg":{"CarrierIds":[1324],"OriginId":65393,"DestinationId":60987,"DepartureDate":"2016-05-23T00:00:00"},"QuoteDateTime":"2016-04-16T15:37:00"},{"QuoteId":19,"MinPrice":520.0,"Direct":false,"OutboundLeg":{"CarrierIds":[858],"OriginId":60987,"DestinationId":65465,"DepartureDate":"2016-05-21T00:00:00"},"InboundLeg":{"CarrierIds":[858],"OriginId":65698,"DestinationId":60987,"DepartureDate":"2016-05-24T00:00:00"},"QuoteDateTime":"2016-04-09T18:44:00"},{"QuoteId":20,"MinPrice":538.0,"Direct":false,"OutboundLeg":{"CarrierIds":[858],"OriginId":60987,"DestinationId":65465,"DepartureDate":"2016-05-01T00:00:00"},"InboundLeg":{"CarrierIds":[858],"OriginId":65465,"DestinationId":60987,"DepartureDate":"2016-05-03T00:00:00"},"QuoteDateTime":"2016-04-17T17:29:00"},{"QuoteId":21,"MinPrice":602.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1081],"OriginId":60987,"DestinationId":65655,"DepartureDate":"2016-05-03T00:00:00"},"InboundLeg":{"CarrierIds":[1081],"OriginId":65655,"DestinationId":50290,"DepartureDate":"2016-05-12T00:00:00"},"QuoteDateTime":"2016-04-06T19:36:00"},{"QuoteId":22,"MinPrice":580.0,"Direct":true,"OutboundLeg":{"CarrierIds":[1001],"OriginId":60987,"DestinationId":65655,"DepartureDate":"2016-05-06T00:00:00"},"InboundLeg":{"CarrierIds":[1001],"OriginId":65655,"DestinationId":60987,"DepartureDate":"2016-05-25T00:00:00"},"QuoteDateTime":"2016-04-12T06:36:00"},{"QuoteId":23,"MinPrice":494.0,"Direct":false,"OutboundLeg":{"CarrierIds":[835],"OriginId":50290,"DestinationId":65698,"DepartureDate":"2016-05-12T00:00:00"},"InboundLeg":{"CarrierIds":[835],"OriginId":65698,"DestinationId":65633,"DepartureDate":"2016-05-14T00:00:00"},"QuoteDateTime":"2016-04-17T00:26:00"},{"QuoteId":24,"MinPrice":666.0,"Direct":true,"OutboundLeg":{"CarrierIds":[1859],"OriginId":60987,"DestinationId":65698,"DepartureDate":"2016-05-05T00:00:00"},"InboundLeg":{"CarrierIds":[838],"OriginId":65698,"DestinationId":60987,"DepartureDate":"2016-05-17T00:00:00"},"QuoteDateTime":"2016-04-07T12:21:00"},{"QuoteId":25,"MinPrice":733.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1033],"OriginId":60987,"DestinationId":66076,"DepartureDate":"2016-05-09T00:00:00"},"InboundLeg":{"CarrierIds":[1033],"OriginId":66076,"DestinationId":60987,"DepartureDate":"2016-05-16T00:00:00"},"QuoteDateTime":"2016-04-09T06:06:00"},{"QuoteId":26,"MinPrice":5673.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1385],"OriginId":60987,"DestinationId":66270,"DepartureDate":"2016-05-03T00:00:00"},"InboundLeg":{"CarrierIds":[1385],"OriginId":66270,"DestinationId":60987,"DepartureDate":"2016-05-25T00:00:00"},"QuoteDateTime":"2016-04-13T20:36:00"},{"QuoteId":27,"MinPrice":1379.0,"Direct":true,"OutboundLeg":{"CarrierIds":[2058],"OriginId":50290,"DestinationId":66270,"DepartureDate":"2016-05-06T00:00:00"},"InboundLeg":{"CarrierIds":[2058],"OriginId":66270,"DestinationId":50290,"DepartureDate":"2016-05-21T00:00:00"},"QuoteDateTime":"2016-04-13T04:57:00"},{"QuoteId":28,"MinPrice":505.0,"Direct":true,"OutboundLeg":{"CarrierIds":[105],"OriginId":60987,"DestinationId":67662,"DepartureDate":"2016-05-12T00:00:00"},"InboundLeg":{"CarrierIds":[105],"OriginId":67662,"DestinationId":60987,"DepartureDate":"2016-05-20T00:00:00"},"QuoteDateTime":"2016-04-13T10:12:00"},{"QuoteId":29,"MinPrice":551.0,"Direct":false,"OutboundLeg":{"CarrierIds":[881],"OriginId":60987,"DestinationId":67662,"DepartureDate":"2016-05-20T00:00:00"},"InboundLeg":{"CarrierIds":[881],"OriginId":67662,"DestinationId":60987,"DepartureDate":"2016-05-22T00:00:00"},"QuoteDateTime":"2016-04-12T02:42:00"},{"QuoteId":30,"MinPrice":906.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1324],"OriginId":50290,"DestinationId":68229,"DepartureDate":"2016-05-17T00:00:00"},"InboundLeg":{"CarrierIds":[1324],"OriginId":68229,"DestinationId":50290,"DepartureDate":"2016-05-24T00:00:00"},"QuoteDateTime":"2016-04-17T15:23:00"},{"QuoteId":31,"MinPrice":804.0,"Direct":true,"OutboundLeg":{"CarrierIds":[1368],"OriginId":50290,"DestinationId":70060,"DepartureDate":"2016-05-27T00:00:00"},"InboundLeg":{"CarrierIds":[1368],"OriginId":70060,"DestinationId":50290,"DepartureDate":"2016-05-31T00:00:00"},"QuoteDateTime":"2016-04-18T14:38:00"},{"QuoteId":32,"MinPrice":618.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1324],"OriginId":60987,"DestinationId":70060,"DepartureDate":"2016-05-19T00:00:00"},"InboundLeg":{"CarrierIds":[1324],"OriginId":70060,"DestinationId":60987,"DepartureDate":"2016-05-22T00:00:00"},"QuoteDateTime":"2016-04-09T17:33:00"},{"QuoteId":33,"MinPrice":823.0,"Direct":false,"OutboundLeg":{"CarrierIds":[],"OriginId":60987,"DestinationId":70745,"Depa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Why can I not access the hash like this flights["Quotes"]?

Lacking a : at the end.
response = urlopen(request)
flights = response.read()
text_file = open("Output.txt", "w")
text_file.write(flights)
text_file.close()
minPrice = LARGE_CONSTANT
for flight in flights["Quotes"]:
if(flight["MinPrice"] < minPrice):
minPrice = flight["MinPrice"]
Kinda simple, sorry i can't be of more use.
But every python block (for, if, while, with) requires a : at the end of the initiating row followed by a indentation on the code that belongs to that block of code, in this case it's for ...: and well yea your if ...:
Also fixed your indentation (it should be 4 spaces or one tab per block of code)

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