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Issue when accessing hash by key [closed] - python

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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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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()

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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

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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']

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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

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I'm crawling and parsing the JSON data I'm getting from RiotGames LoL API using Python (2.X) and I'm running into an odd error.
I'm loading in the json data and reading the data attr by attr, which goes great until I hit a certain attr which is clearly in the object I'm trying to extract it from but makes Python throw a KeyError as can be seen in the screenshot below.
Here is the codesnippet where the error takes place. As you can see I print the object (for debugging purposes) and then parse all attr, which works fine but throws a KeyError for unknown reasons at the attr 'doubleKills'. Hope you guys can help ^^
def parseJSON(self, jsonDump):
matchDetailDict = dict()
jsonobj = json.loads(jsonDump)
matchId = jsonobj['matchId']
tmpMatch = Match()
tmpMatch.matchID = matchId
tmpMatch.creationDate = jsonobj['matchCreation']
tmpMatch.matchDuration = jsonobj['matchDuration']
for participant, participantId in zip(jsonobj['participants'], jsonobj['participantIdentities']):
stats = participant['stats']
print stats
tmpStats = MatchPlayerStats()
tmpStats.playerID = participantId['player']['summonerId']
tmpStats.matchID = matchId
tmpStats.winner = stats['winner']
tmpStats.kills = stats['kills']
tmpStats.deaths = stats['deaths']
tmpStats.assists = stats['assists']
tmpStats.kda = (tmpStats.kills + tmpStats.assists)*1.0/max(tmpStats.deaths, 0.5)
tmpStats.visionWardsBoughtInGame = stats['visionWardsBoughtInGame']
tmpStats.sightWardsBoughtInGame = stats['sightWardsBoughtInGame']
tmpStats.championID = participant['championId']
tmpStats.doubleKills = participant['doubleKills'] #KeyError here!
tmpStats.firstBloodAssist = participant['firstBloodAssist']
tmpStats.firstBloodKill = participant['firstBloodKill']
tmpStats.killingSprees = participant['killingSprees']
tmpStats.wardsKilled = participant['wardsKilled']
tmpStats.wardsPlaced = participant['wardsPlaced']
tmpStats.unrealKills = participant['unrealKills']
matchDetailDict[tmpStats.playerID] = tmpStats
tmpMatch.playerStats = matchDetailDict
return tmpMatch

It looks as though the JSON on the Terminal you posted is from stats, but you are trying to use the key on participant.
print 'doubleKills' in stats.keys()
Should evaluate to True