50 lines
1.9 KiB
Python
50 lines
1.9 KiB
Python
# WVLottopy: Matteo DiBiagio
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from fractions import Fraction as frac
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import pandas as pd
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import requests
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from collections import Counter
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def get_data():
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url = 'https://gateway.loyalty.wvlottery.com/services/jackpot/api/v1/jackpot-results?gameId=24&jackpotStatus=PAYABLE&size=500&sort=externalId,drawDate,desc&page='
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header = {
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"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36",
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}
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# Get web data, cash pop draws every 15 min so only use the last ~3000 draws (about a month)
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web = {'Date': [], 'Numbers': []}
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page = 0
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while page < 6:
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r = requests.get(url + str(page), headers=header)
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data = r.json()
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for x in data['content']:
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web['Date'].append(x['drawingDate'])
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web['Numbers'].append('–'.join(str(n['data']) for n in x['resultData'] if n['type'] == 'REGULAR'))
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if data['last']:
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break
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page += 1
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df2 = pd.DataFrame(web)
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date = list(df2['Date'])
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nums = list(df2['Numbers'].astype('str'))
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return date, nums
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date, nums = get_data()
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# Formatting
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hyphenfree = []
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for x in nums:
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hyphenfree.append(x.replace('–',', '))
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splitlist = ", ".join(hyphenfree)
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sep = splitlist.split(", ")
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# Only keep 1 - 15, just in case anything weird comes back from the site
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sep = [x for x in sep if x.isdigit() and 1 <= int(x) <= 15]
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for n in range(0, 15):
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most_common= Counter(sep).most_common(3)
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likely_nums = [v[0] for v in most_common]
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frequency = [v[-1] for v in most_common]
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Forecast = likely_nums[0]
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Backups = str(" - ".join(likely_nums[1:]))
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Chance = frac(1, 15) # Only one number is drawn out of 15 so every pick has the same chance
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print(f"Likely number is . . . {Forecast} Backups: {Backups}\n"
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f"With percent chance of winning being {Chance}") |