Convert Function Output into Dataframe in Python [closed] - python

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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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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']

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

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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

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":{"Car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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)

Python JSON KeyError for key that is not missing in object being parsed [closed]

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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

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