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wvlottopy/daily3.py
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# WVLottopy: Matteo DiBiagio
from fractions import Fraction as frac
import pandas as pd
import requests
from collections import Counter
def get_data():
url = 'https://gateway.loyalty.wvlottery.com/services/jackpot/api/v1/jackpot-results?gameId=9&jackpotStatus=PAYABLE&size=500&sort=externalId,drawDate,desc&page='
header = {
"User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36",
}
# Get web data, the new site pulls past draws from json 500 at a time
web = {'Date': [], 'Numbers': []}
page = 0
while True:
r = requests.get(url + str(page), headers=header)
data = r.json()
for x in data['content']:
web['Date'].append(x['drawingDate'])
web['Numbers'].append('–'.join(str(n['data']) for n in x['resultData'] if n['type'] == 'REGULAR'))
if data['last']:
break
page += 1
dfs = [pd.DataFrame(web)]
pd.set_option('display.max_rows', None)
# Specifies no max rows, otherwise only shows 10 records
df = dfs[0]
df2 = df[['Date', 'Numbers']]
date = list(df2['Date'])
nums = list(df2['Numbers'].astype('str'))
return date, nums
date, nums = get_data()
# Formatting
hyphenfree = []
for x in nums:
hyphenfree.append(x.replace('–',', '))
splitlist = ", ".join(hyphenfree)
sep = splitlist.split(", ")
for n in range(0, 10):
most_common= Counter(sep).most_common(3)
likely_nums = [v[0] for v in most_common]
frequency = [v[-1] for v in most_common]
sorted_nums = sorted(likely_nums, key=lambda x: (len(x), x))
total_freq = sum(frequency)
Chance = frac(total_freq, 15000) # Chance = number call freq / all possible numbers i.e. 1000
Forecast = str(" - ".join(sorted_nums))
print(f"Likely numbers are . . . {Forecast} \n"
f"With percent chance of winning being {Chance} \n"
f"DISCLAIMER: This set's chance is innacurate due to how many numbers are drawn per day.")