painful repo management

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}")