painful repo management

README.md

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+# wvlottopy
+
+THE WVLOTTOPY DEVELOPERS HAVE NO AFFILIATION WITH THE WEST VIRGINIA STATE LOTTERY
+
+This script generates the most likely lottery numbers based off frequency of winning numbers.
+
+Previously there were records dating back to 1992 that were removed by the website, which has lead me to rewrite and encourage the collaboration and sharing of this work. I will attach an excel file in the near future that includes the previous records and soon try to reincorperate them into the script. Originally excel functionality was stripped for performance.
+
+I am welcoming anyone who wants to to port it to their own state/country to do so. I currently have a website www.wvlotterypredictor.xyz hosting my numbers to be refreshed daily. Collaboration and suggestion to a more accurate algorithm is also welcome.
+
+#Good luck!

cash25.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://wvlottery.com/draw-games/cash-25/?game-analyze=cash-25&what-to-search=historysearch&date-range=-1'
+    header = {
+        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36",
+        "X-Requested-With": "XMLHttpRequest"
+    }
+
+    # Get web data
+    r = requests.get(url, headers=header)
+    dfs = pd.read_html(r.text)
+    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, 25):
+    most_common= Counter(sep).most_common(6)
+    likely_nums = [v[0] for v in most_common]
+    frequency = [v[-1] for v in most_common]
+
+sorted_nums = sorted(likely_nums)
+total_freq = sum(frequency) 
+Chance  = frac(total_freq, 177100) # Chance = number call freq / all possible numbers i.e. 177100
+Winning_Numbers = str("-".join(sorted_nums))
+
+print(f"Likely numbers are . . . {Winning_Numbers} \n" 
+f"With percent chance of winning being {Chance}")

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://wvlottery.com/draw-games/daily-3/?game-analyze=daily-3&what-to-search=historysearch&date-range=1'
+    header = {
+        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36",
+        "X-Requested-With": "XMLHttpRequest"
+    }
+    # Get web data
+    r = requests.get(url, headers=header)
+    dfs = pd.read_html(r.text)
+    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)
+total_freq = sum(frequency) 
+Chance  = frac(total_freq, 1000) # Chance = number call freq / all possible numbers i.e. 1000
+Winning_Numbers = str("-".join(sorted_nums))
+
+print(f"Likely numbers are . . .  {Winning_Numbers} \n"
+f"With percent chance of winning being {Chance}")

daily4.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://wvlottery.com/draw-games/daily-4/?game-analyze=daily-4&what-to-search=historysearch&date-range=-1'
+    header = {
+        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36",
+        "X-Requested-With": "XMLHttpRequest"
+    }
+    # Get web data
+    r = requests.get(url, headers=header)
+    dfs = pd.read_html(r.text)
+    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, 9):
+    most_common= Counter(sep).most_common(4)
+    likely_nums = [v[0] for v in most_common]
+    frequency = [v[-1] for v in most_common]
+
+sorted_nums = sorted(likely_nums)
+total_freq = sum(frequency) 
+Chance  = frac(total_freq, 10000) # Chance = number call freq / all possible numbers i.e. 10000
+Winning_Numbers = str("-".join(sorted_nums))
+
+print(f"Likely numbers are . . .  {Winning_Numbers}, \n"
+f"With percent chance of winning being {Chance}")

lotto_america.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://wvlottery.com/draw-games/lotto-america/?game-analyze=lotto-america&what-to-search=historysearch&date-range=-1'
+    header = {
+        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36",
+        "X-Requested-With": "XMLHttpRequest"
+    }
+
+    # Get web data
+    r = requests.get(url, headers=header)
+    dfs = pd.read_html(r.text)
+    pd.set_option('display.max_rows', None)
+    # Specifies no max rows, otherwise only shows 10 records
+    df = dfs[0]
+    df2 = df[['Date', 'Numbers', 'SB', 'All Star']]
+    date = list(df2['Date']) 
+    nums = list(df2['Numbers'].astype('str')) 
+    SBs = list(df2['SB'].astype('int'))
+    return date, nums, SBs
+
+date, nums, SBs = get_data()
+
+# Formatting 
+hyphenfree = []
+for x in nums:
+    hyphenfree.append(x.replace('–',', ')) 
+splitlist = ", ".join(hyphenfree)
+sep = splitlist.split(", ")
+
+for n in range(0, 52):
+    most_common= Counter(sep).most_common(5)
+    likely_nums = [v[0] for v in most_common]
+    frequency = [v[-1] for v in most_common]
+    
+for n in range(0, 10):
+    most_common_sb = Counter(SBs).most_common(1)
+    SB = [v[0] for v in most_common_sb]
+    frequency_sb = [v[-1] for v in most_common_sb]
+
+sorted_nums = sorted(likely_nums)
+total_freq = sum(frequency + frequency_sb) 
+Chance = frac(total_freq, 25989600) # Chance = number call freq / all possible numbers i.e. 25,989,600
+Winning_Numbers = str("-".join(sorted_nums))
+
+print(f"Likely numbers are . . .  {Winning_Numbers} SB: {SB}\n"
+f"With percent chance of winning being {Chance}")

lottopy_pb.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://wvlottery.com/draw-games/powerball/?game-analyze=powerball&what-to-search=historysearch&date-range=-1'
+    header = {
+        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36",
+        "X-Requested-With": "XMLHttpRequest"
+    }
+    # Get web data
+    r = requests.get(url, headers=header)
+    dfs = pd.read_html(r.text)
+    pd.set_option('display.max_rows', None)
+    # Specifies no max rows, otherwise only shows 10 records
+    df = dfs[0]
+    df2 = df[['Date', 'Numbers', 'PB', 'PPX', 'Winners WV Only', 'Payout WV Only']]
+    date = list(df2['Date']) 
+    nums = list(df2['Numbers'].astype('str')) 
+    PBs = list(df2['PB'].astype('int'))
+    return date, nums, PBs
+
+date, nums, PBs = get_data()
+
+# Formatting 
+hyphenfree = []
+for x in nums:
+    hyphenfree.append(x.replace('–',', ')) 
+splitlist = ", ".join(hyphenfree)
+sep = splitlist.split(", ")
+
+for n in range(0, 69):
+    most_common = Counter(sep).most_common(5)
+    likely_nums = [v[0] for v in most_common]
+    frequency = [v[-1] for v in most_common]
+    
+for n in range(0, 26):
+    most_common_pb = Counter(PBs).most_common(1)
+    PB = [v[0] for v in most_common_pb]
+    frequency_pb = [v[-1] for v in most_common_pb]
+
+sorted_nums = sorted(likely_nums)
+total_freq = sum(frequency + frequency_pb) 
+Chance = frac(total_freq, 292201338) # Chance = number call freq / all possible numbers i.e. 292201338
+Winning_Numbers = str("-".join(sorted_nums))
+
+print(f"Likely numbers are . . .  {Winning_Numbers} PB: {PB}\n"
+f"With percent chance of winning being {Chance}")

megamil.py

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+# WVLottopy megamil: Matteo DiBiagio
+from fractions import Fraction as frac
+import pandas as pd
+import requests
+from collections import Counter
+
+def get_data():
+    url = 'https://wvlottery.com/draw-games/mega-millions/?game-analyze=mega-millions&what-to-search=historysearch&date-range=-1'
+    header = {
+        "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/50.0.2661.75 Safari/537.36",
+        "X-Requested-With": "XMLHttpRequest"
+    }
+
+    # Get web data
+    r = requests.get(url, headers=header)
+    dfs = pd.read_html(r.text)
+    pd.set_option('display.max_rows', None)
+    # Specifies no max rows, otherwise only shows 10 records
+    df = dfs[0]
+    df2 = df[['Date', 'Numbers', 'MB', 'MP']]
+    date = list(df2['Date']) 
+    nums = list(df2['Numbers'].astype('str')) 
+    MBs = list(df2['MB'].astype('int'))
+    return date, nums, MBs
+
+date, nums, MBs = get_data()
+
+# Formatting 
+hyphenfree = []
+for x in nums:
+    hyphenfree.append(x.replace('–',', ')) 
+splitlist = ", ".join(hyphenfree)
+sep = splitlist.split(", ")
+
+for n in range(0, 70):
+    most_common= Counter(sep).most_common(5)
+    likely_nums = [v[0] for v in most_common]
+    frequency = [v[-1] for v in most_common]
+    
+for n in range(0, 25):
+    most_common_mb = Counter(MBs).most_common(1)
+    MB = [v[0] for v in most_common_mb]
+    frequency_mb = [v[-1] for v in most_common_mb]
+
+sorted_nums = sorted(likely_nums)
+total_freq = sum(frequency + frequency_mb) 
+Chance = frac(total_freq, 302575350) # Chance = number call freq / all possible numbers i.e. 11238513
+Winning_Numbers = str("-".join(sorted_nums))
+
+print(f"Likely numbers are . . .  {Winning_Numbers} MB: {MB}\n"
+f"With percent chance of winning being {Chance}")

requirements.txt

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+pandas==1.3.5
+requests==2.26.0

start.sh

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+#!/bin/bash
+# Simple start script for lottopy designed by Matteo DiBiagio 
+# www.wvlotterypredictor.xyz
+# MIT License
+# Edit to your need
+
+echo "Powerball" && 
+python lottopy_pb.py && 
+echo "MegaMillions" && 
+python megamil.py && 
+echo "Lotto America" && 
+python lotto_america.py &&
+echo "Daily3" && 
+python daily3.py && 
+echo "Daily4" && 
+python daily4.py &&
+echo "Cash25" && 
+python cash25.py