50 lines
1.7 KiB
Python
Executable File
50 lines
1.7 KiB
Python
Executable File
# 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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from io import StringIO
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def get_data():
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# Old data from WVLottery.com
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df_old = pd.read_excel('./excel_lotto_records/daily4.xlsx')
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salvaged = df_old[['Date', 'Numbers']]
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url = 'https://wvlottery.com/draw-games/daily-4/?game-analyze=daily-4&what-to-search=historysearch&date-range=-1'
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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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"X-Requested-With": "XMLHttpRequest"
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}
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# Get web data
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r = requests.get(url, headers=header)
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dfs = list(pd.read_html(StringIO(r.text)))
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pd.set_option('display.max_rows', None)
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# Specifies no max rows, otherwise only shows 10 records
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df = pd.concat([dfs[0], salvaged], ignore_index=True)
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df2 = df[['Date', 'Numbers']]
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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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for n in range(0, 9):
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most_common= Counter(sep).most_common(4)
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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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sorted_nums = sorted(likely_nums, key=lambda x: (len(x), x))
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total_freq = sum(frequency)
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Chance = frac(total_freq, 10000) # Chance = number call freq / all possible numbers i.e. 10000
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Forecast = str(" - ".join(sorted_nums))
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print(f"Likely numbers are . . . {Forecast} \n"
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f"With percent chance of winning being {Chance}") |