We Keep Coding

Having trouble adding item to a list - Python [closed]

Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers.
This question was caused by a typo or a problem that can no longer be reproduced. While similar questions may be on-topic here, this one was resolved in a way less likely to help future readers.
Closed 2 days ago.
Improve this question
I am new to boto3 and am successfully getting the AWS info I want when using print, but I cannot for some reason append to a list. I can print out and get exactly what I want, but I cannot for the life of me get out into a list. I tried to make an empty dict and update that empty dict which would be preferable but it didn't work either. Got None.
It returns None when trying to add to a list, but wrks perfectly with print().
def vol_snapshots_size(**kwargs):
session = boto3.Session(profile_name='snap')
ec2 = session.client('ec2', region_name=kwargs['region'])
ebs = session.client('ebs', region_name=kwargs['region'])
snapshots = ec2.describe_snapshots(
Filters=[
{
'Name': 'volume-id',
'Values': [
kwargs['volume_id'],
]
}
],
OwnerIds=['self']
)
sorted_snapshots = sorted(snapshots['Snapshots'], key=lambda snap: snap['StartTime'], reverse=True)
snap_list = []
for i in range(len(sorted_snapshots)-1):
snap = sorted_snapshots[i]
diff_size = snapshots_size(ebs, sorted_snapshots[i]["SnapshotId"], sorted_snapshots[i+1]["SnapshotId"])
out = {'date': snap["StartTime"], 'id': snap["SnapshotId"], 'VolumeID': kwargs['volume_id'], 'size': format_bytes(diff_size)}
snap_list.append(out)
return snap_list
EDIT
This works and prints the data. So it is weird I cannot return.
sorted_snapshots = sorted(snapshots['Snapshots'], key=lambda snap: snap['StartTime'], reverse=True)
out = []
for i in range(len(sorted_snapshots)-1):
snap = sorted_snapshots[i]
diff_size = snapshots_size(ebs, sorted_snapshots[i]["SnapshotId"], sorted_snapshots[i+1]["SnapshotId"])
out.append({'date': snap["StartTime"], 'id': snap["SnapshotId"], 'VolumeID': kwargs['volume_id'], 'size': format_bytes(diff_size)})
print(out)
Just wrote this rough test function to interact with the function above
def get_snap_sizes():
try:
snap.vol_snapshots_size(
region='us-east-1',
volume_id='OMITTED',
output='text'
)
except Exception:
pass
print(get_snap_sizes()

Convert Function Output into Dataframe in Python [closed]

Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers.
This question was caused by a typo or a problem that can no longer be reproduced. While similar questions may be on-topic here, this one was resolved in a way less likely to help future readers.
Closed 8 months ago.
Improve this question
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

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

Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers.
This question was caused by a typo or a problem that can no longer be reproduced. While similar questions may be on-topic here, this one was resolved in a way less likely to help future readers.
Closed 3 years ago.
Improve this question
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

Python using multiple conditions inside a loop [closed]

Closed. This question does not meet Stack Overflow guidelines. It is not currently accepting answers.
Closed 6 years ago.
This question was caused by a typo or a problem that can no longer be reproduced. While similar questions may be on-topic here, this one was resolved in a way less likely to help future readers.
Edit the question to include desired behavior, a specific problem or error, and the shortest code necessary to reproduce the problem. This will help others answer the question.
Improve this question
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]

Closed. This question is not reproducible or was caused by typos. It is not currently accepting answers.
This question was caused by a typo or a problem that can no longer be reproduced. While similar questions may be on-topic here, this one was resolved in a way less likely to help future readers.
Closed 6 years ago.
Improve this question
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,"DepartureDate":"2016-05-16T00:00:00"},"InboundLeg":{"CarrierIds":[],"OriginId":70745,"DestinationId":60987,"DepartureDate":"2016-05-23T00:00:00"},"QuoteDateTime":"2016-04-16T21:40:00"},{"QuoteId":34,"MinPrice":1129.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1324],"OriginId":60987,"DestinationId":71017,"DepartureDate":"2016-05-23T00:00:00"},"InboundLeg":{"CarrierIds":[1324],"OriginId":71017,"DestinationId":60987,"DepartureDate":"2016-05-27T00:00:00"},"QuoteDateTime":"2016-04-03T21:25:00"},{"QuoteId":35,"MinPrice":798.0,"Direct":false,"OutboundLeg":{"CarrierIds":[],"OriginId":60987,"DestinationId":82165,"DepartureDate":"2016-05-10T00:00:00"},"InboundLeg":{"CarrierIds":[],"OriginId":82165,"DestinationId":60987,"DepartureDate":"2016-05-17T00:00:00"},"QuoteDateTime":"2016-04-10T03:23:00"},{"QuoteId":36,"MinPrice":726.0,"Direct":false,"OutboundLeg":{"CarrierIds":[1523],"OriginId":60987,"DestinationId":82398,"DepartureDate":"2016-05-09T00:00:00"},"InboundLeg":{"CarrierIds":[1523],"OriginId":82398,"DestinationId":60987,"DepartureDate":"2016-05-14T00:00:00"},"QuoteDateTime":"2016-04-16T23:32:00"},{"QuoteId":37,"MinPrice":475.0,"Direct":true,"OutboundLeg":{"CarrierIds":[1368],"OriginId":50290,"DestinationId":42563,"DepartureDate":"2016-05-18T00:00:00"},"InboundLeg":{"CarrierIds":[1368],"OriginId":42563,"DestinationId":50290,"DepartureDate":"2016-05-25T00:00:00"},"QuoteDateTime":"2016-04-18T02:26:00"},{"QuoteId":38,"MinPrice":795.0,"Direct":false,"OutboundLeg":{"CarrierIds":[881],"OriginId":60987,"DestinationId":63721,"DepartureDate":"2016-05-04T00:00:00"},"InboundLeg":{"CarrierIds":[881],"OriginId":63721,"DestinationId":60987,"DepartureDate":"2016-05-09T00:00:00"},"QuoteDateTime":"2016-04-17T18:04:00"},{"QuoteId":39,"MinPrice":799.0,"Direct":false,"OutboundLeg":{"CarrierIds":[881],"OriginId":60987,"DestinationId":66217,"DepartureDate":"2016-05-16T00:00:00"},"InboundLeg":{"CarrierIds":[881],"OriginId":66217,"DestinationId":60987,"DepartureDate":"2016-05-23T00:00:00"},"QuoteDateTime":"2016-04-10T19:24:00"},{"QuoteId":40,"MinPrice":819.0,"Direct":false,"OutboundLeg":{"CarrierIds":[],"OriginId":60987,"DestinationId":82649,"DepartureDate":"2016-05-16T00:00:00"},"InboundLeg":{"CarrierIds":[],"OriginId":82649,"DestinationId":60987,"DepartureDate":"2016-05-23T00:00:00"},"QuoteDateTime":"2016-04-08T13:48:00"},{"QuoteId":41,"MinPrice":773.0,"Direct":false,"OutboundLeg":{"CarrierIds":[],"OriginId":65633,"DestinationId":44620,"DepartureDate":"2016-05-09T00:00:00"},"InboundLeg":{"CarrierIds":[],"OriginId":44620,"DestinationId":65633,"DepartureDate":"2016-05-11T00:00:00"},"QuoteDateTime":"2016-04-08T22:21:00"},{"QuoteId":42,"MinPrice":995.0,"Direct":false,"OutboundLeg":{"CarrierIds":[],"OriginId":60987,"DestinationId":47540,"DepartureDate":"2016-05-15T00:00:00"},"InboundLeg":{"CarrierIds":[],"OriginId":47540,"DestinationId":60987,"DepartureDate":"2016-05-24T00:00:00"},"QuoteDateTime":"2016-04-16T13:57:00"},{"QuoteId":43,"MinPrice":6835.0,"Direct":false,"OutboundLeg":{"CarrierIds":[],"OriginId":60987,"DestinationId":42843,"DepartureDate":"2016-05-06T00:00:00"},"InboundLeg":{"CarrierIds":[],"OriginId":42843,"DestinationId":60987,"DepartureDate":"2016-05-21T00:00:00"},"QuoteDateTime":"2016-04-17T19:06:00"},{"QuoteId":44,"MinPrice":6826.0,"Direct":false,"OutboundLeg":{"CarrierIds":[],"OriginId":60987,"DestinationId":54367,"DepartureDate":"2016-05-05T00:00:00"},"InboundLeg":{"CarrierIds":[],"OriginId":54367,"DestinationId":60987,"DepartureDate":"2016-05-11T00:00:00"},"QuoteDateTime":"2016-04-13T09:33:00"}],"Places":[{"PlaceId":40074,"IataCode":"ABZ","Name":"Aberdeen","Type":"Station","CityName":"Aberdeen","CityId":"ABER","CountryName":"United Kingdom"},{"PlaceId":42563,"IataCode":"BFS","Name":"Belfast International","Type":"Station","CityName":"Belfast","CityId":"BELF","CountryName":"United Kingdom"},{"PlaceId":42644,"IataCode":"BHD","Name":"Belfast City","Type":"Station","CityName":"Belfast","CityId":"BELF","CountryName":"United Kingdom"},{"PlaceId":42664,"IataCode":"BHX","Name":"Birmingham","Type":"Station","CityName":"Birmingham","CityId":"BIRM","CountryName":"United Kingdom"},{"PlaceId":42843,"IataCode":"BLK","Name":"Blackpool","Type":"Station","CityName":"Blackpool","CityId":"BLAC","CountryName":"United Kingdom"},{"PlaceId":43139,"IataCode":"BRS","Name":"Bristol","Type":"Station","CityName":"Bristol","CityId":"BRIS","CountryName":"United Kingdom"},{"PlaceId":44620,"IataCode":"CAL","Name":"Campbeltown","Type":"Station","CityName":"Campbeltown","CityId":"CAMP","CountryName":"United Kingdom"},{"PlaceId":45676,"IataCode":"CWL","Name":"Cardiff","Type":"Station","CityName":"Cardiff","CityId":"CARD","CountryName":"United Kingdom"},{"PlaceId":47540,"IataCode":"DND","Name":"Dundee","Type":"Station","CityName":"Dundee","CityId":"DUND","CountryName":"United Kingdom"},{"PlaceId":47777,"IataCode":"DSA","Name":"Doncaster Sheffield","Type":"Station","CityName":"Doncaster","CityId":"DONC","CountryName":"United Kingdom"},{"PlaceId":49369,"IataCode":"EDI","Name":"Edinburgh","Type":"Station","CityName":"Edinburgh","CityId":"EDIN","CountryName":"United Kingdom"},{"PlaceId":49793,"IataCode":"EMA","Name":"East Midlands","Type":"Station","CityName":"Nottingham","CityId":"NOTT","CountryName":"United Kingdom"},{"PlaceId":50290,"IataCode":"EWR","Name":"New York Newark","Type":"Station","CityName":"New York","CityId":"NYCA","CountryName":"United States"},{"PlaceId":50340,"IataCode":"EXT","Name":"Exeter","Type":"Station","CityName":"Exeter","CityId":"EXET","CountryName":"United Kingdom"},{"PlaceId":54353,"IataCode":"GLA","Name":"Glasgow International","Type":"Station","CityName":"Glasgow","CityId":"GLAS","CountryName":"United Kingdom"},{"PlaceId":54367,"IataCode":"GLO","Name":"Gloucestershire","Type":"Station","CityName":"Gloucester","CityId":"GLOA","CountryName":"United Kingdom"},{"PlaceId":57113,"IataCode":"HUY","Name":"Humberside","Type":"Station","CityName":"Humberside","CityId":"HUMB","CountryName":"United Kingdom"},{"PlaceId":59078,"IataCode":"INV","Name":"Inverness","Type":"Station","CityName":"Inverness","CityId":"INVE","CountryName":"United Kingdom"},{"PlaceId":59117,"IataCode":"IOM","Name":"Ronaldsway","Type":"Station","CityName":"Castletown","CityId":"CAST","CountryName":"United Kingdom"},{"PlaceId":60946,"IataCode":"JER","Name":"Jersey","Type":"Station","CityName":"Jersey","CityId":"JERS","CountryName":"United Kingdom"},{"PlaceId":60987,"IataCode":"JFK","Name":"New York John F. Kennedy","Type":"Station","CityName":"New York","CityId":"NYCA","CountryName":"United States"},{"PlaceId":63721,"IataCode":"KOI","Name":"Orkney Kirkwall","Type":"Station","CityName":"Orkney","CityId":"ORKN","CountryName":"United Kingdom"},{"PlaceId":65393,"IataCode":"LBA","Name":"Leeds Bradford","Type":"Station","CityName":"Leeds","CityId":"LEED","CountryName":"United Kingdom"},{"PlaceId":65465,"IataCode":"LCY","Name":"London City","Type":"Station","CityName":"London","CityId":"LOND","CountryName":"United Kingdom"},{"PlaceId":65633,"IataCode":"LGA","Name":"New York La Guardia","Type":"Station","CityName":"New York","CityId":"NYCA","CountryName":"United States"},{"PlaceId":65655,"IataCode":"LGW","Name":"London Gatwick","Type":"Station","CityName":"London","CityId":"LOND","CountryName":"United Kingdom"},{"PlaceId":65698,"IataCode":"LHR","Name":"London Heathrow","Type":"Station","CityName":"London","CityId":"LOND","CountryName":"United Kingdom"},{"PlaceId":66076,"IataCode":"LPL","Name":"Liverpool","Type":"Station","CityName":"Liverpool","CityId":"LIVE","CountryName":"United Kingdom"},{"PlaceId":66217,"IataCode":"LSI","Name":"Sumburgh Shetlands","Type":"Station","CityName":"Sumburgh","CityId":"SUMB","CountryName":"United Kingdom"},{"PlaceId":66270,"IataCode":"LTN","Name":"London Luton","Type":"Station","CityName":"London","CityId":"LOND","CountryName":"United Kingdom"},{"PlaceId":67662,"IataCode":"MAN","Name":"Manchester","Type":"Station","CityName":"Manchester","CityId":"MANC","CountryName":"United Kingdom"},{"PlaceId":68229,"IataCode":"MME","Name":"Durham Tees Valley","Type":"Station","CityName":"Durham","CityId":"MMEA","CountryName":"United Kingdom"},{"PlaceId":70060,"IataCode":"NCL","Name":"Newcastle","Type":"Station","CityName":"Newcastle","CityId":"NEWC","CountryName":"United Kingdom"},{"PlaceId":70745,"IataCode":"NQY","Name":"Newquay","Type":"Station","CityName":"Newquay","CityId":"NEWQ","CountryName":"United Kingdom"},{"PlaceId":71017,"IataCode":"NWI","Name":"Norwich","Type":"Station","CityName":"Norwich","CityId":"NORW","CountryName":"United Kingdom"},{"PlaceId":82165,"IataCode":"SOU","Name":"Southampton","Type":"Station","CityName":"Southampton","CityId":"SOUT","CountryName":"United Kingdom"},{"PlaceId":82398,"IataCode":"STN","Name":"London Stansted","Type":"Station","CityName":"London","CityId":"LOND","CountryName":"United Kingdom"},{"PlaceId":82649,"IataCode":"SYY","Name":"Stornoway","Type":"Station","CityName":"Stornoway","CityId":"STOR","CountryName":"United Kingdom"},{"PlaceId":91075,"IataCode":"WIC","Name":"Wick","Type":"Station","CityName":"Wick","CityId":"WICK","CountryName":"United Kingdom"},{"PlaceId":3413153,"IataCode":"NYC","Name":"New York","Type":"City","CityName":"New York","CityId":"NYCA"}],"Carriers":[{"CarrierId":105,"Name":"Thomas Cook Airlines"},{"CarrierId":835,"Name":"Air Canada"},{"CarrierId":838,"Name":"Air France"},{"CarrierId":858,"Name":"Alitalia"},{"CarrierId":881,"Name":"British Airways"},{"CarrierId":1001,"Name":"Norwegian"},{"CarrierId":1033,"Name":"Aer Lingus"},{"CarrierId":1081,"Name":"Icelandair"},{"CarrierId":1324,"Name":"KLM"},{"CarrierId":1368,"Name":"Lufthansa"},{"CarrierId":1385,"Name":"EL AL Israel Airlines"},{"CarrierId":1523,"Name":"Austrian Airlines"},{"CarrierId":1710,"Name":"Brussels Airlines"},{"CarrierId":1859,"Name":"Virgin Atlantic"},{"CarrierId":1907,"Name":"WestJet"},{"CarrierId":2058,"Name":"La Compagnie"}],"Currencies":[{"Code":"USD","Symbol":"$","ThousandsSeparator":",","DecimalSeparator":".","SymbolOnLeft":true,"SpaceBetweenAmountAndSymbol":false,"RoundingCoefficient":0,"DecimalDigits":2}]}
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)