add practice

Author: clingoram

python/lo.py

@@ -1,38 +1,47 @@
-import pandas as pd
-
-# 建立範例資料 (第 114000079 期到 115000007 期)
-data = {
-    "期別": ["114000079","114000080","114000081","114000082","114000083",
-            "115000001","115000002","115000003","115000004","115000005","115000006","115000007"],
-    "開獎日期": ["2025-10-02","2025-10-06","2025-10-09","2025-10-13","2025-10-16",
-             "2026-01-01","2026-01-05","2026-01-08","2026-01-12","2026-01-15","2026-01-19","2026-01-22"],
-    "第一區號碼": [
-        [3,5,12,24,27,30],[5,6,9,14,15,37],[1,6,11,20,34,35],
-        [2,8,12,18,28,33],[4,9,16,21,25,36],[7,14,22,23,31,35],
-        [11,14,19,25,34,37],[7,17,25,26,27,33],[1,9,14,17,33,38],
-        [8,10,16,26,31,38],[10,16,20,23,35,37],[11,17,29,30,34,35]
-    ],
-    "第二區": [7,5,8,3,4,1,4,3,3,5,5,6],
-    "備註": ["頭獎","無頭獎","無頭獎","無頭獎","無頭獎","無頭獎",
-           "無頭獎","無頭獎","無頭獎","無頭獎","無頭獎","無頭獎"]
-}
-
-df = pd.DataFrame(data)
-
-# 計算第一區 01~38 次數與頻率
-freq_zone1 = pd.DataFrame({"號碼": list(range(1,39))})
-freq_zone1["出現次數"] = freq_zone1["號碼"].apply(lambda x: sum(df["第一區號碼"].apply(lambda y: x in y)))
-freq_zone1["頻率(%)"] = freq_zone1["出現次數"]/freq_zone1["出現次數"].sum()*100
-
-# 計算第二區 01~08 次數與頻率
-freq_zone2 = pd.DataFrame({"號碼": list(range(1,9))})
-freq_zone2["出現次數"] = freq_zone2["號碼"].apply(lambda x: sum(df["第二區"]==x))
-freq_zone2["頻率(%)"] = freq_zone2["出現次數"]/freq_zone2["出現次數"].sum()*100
-
-# 將資料寫入 Excel，多 sheet
-with pd.ExcelWriter("威力彩分析_114000079_115000007.xlsx") as writer:
-    df.to_excel(writer, sheet_name="RawData", index=False)
-    freq_zone1.to_excel(writer, sheet_name="Freq_Zone1", index=False)
-    freq_zone2.to_excel(writer, sheet_name="Freq_Zone2", index=False)
-
-print("Excel 檔案已生成：威力彩分析_114000079_115000007.xlsx")
+# import pandas as pd
+
+# # 建立範例資料 (第 114000079 期到 115000007 期)
+# data = {
+#     "期別": ["114000079","114000080","114000081","114000082","114000083",
+#             "115000001","115000002","115000003","115000004","115000005","115000006","115000007"],
+#     "開獎日期": ["2025-10-02","2025-10-06","2025-10-09","2025-10-13","2025-10-16",
+#              "2026-01-01","2026-01-05","2026-01-08","2026-01-12","2026-01-15","2026-01-19","2026-01-22"],
+#     "第一區號碼": [
+#         [3,5,12,24,27,30],[5,6,9,14,15,37],[1,6,11,20,34,35],
+#         [2,8,12,18,28,33],[4,9,16,21,25,36],[7,14,22,23,31,35],
+#         [11,14,19,25,34,37],[7,17,25,26,27,33],[1,9,14,17,33,38],
+#         [8,10,16,26,31,38],[10,16,20,23,35,37],[11,17,29,30,34,35]
+#     ],
+#     "第二區": [7,5,8,3,4,1,4,3,3,5,5,6],
+#     "備註": ["頭獎","無頭獎","無頭獎","無頭獎","無頭獎","無頭獎",
+#            "無頭獎","無頭獎","無頭獎","無頭獎","無頭獎","無頭獎"]
+# }
+
+# df = pd.DataFrame(data)
+
+# # 計算第一區 01~38 次數與頻率
+# freq_zone1 = pd.DataFrame({"號碼": list(range(1,39))})
+# freq_zone1["出現次數"] = freq_zone1["號碼"].apply(lambda x: sum(df["第一區號碼"].apply(lambda y: x in y)))
+# freq_zone1["頻率(%)"] = freq_zone1["出現次數"]/freq_zone1["出現次數"].sum()*100
+
+# # 計算第二區 01~08 次數與頻率
+# freq_zone2 = pd.DataFrame({"號碼": list(range(1,9))})
+# freq_zone2["出現次數"] = freq_zone2["號碼"].apply(lambda x: sum(df["第二區"]==x))
+# freq_zone2["頻率(%)"] = freq_zone2["出現次數"]/freq_zone2["出現次數"].sum()*100
+
+# # 將資料寫入 Excel，多 sheet
+# with pd.ExcelWriter("威力彩分析_114000079_115000007.xlsx") as writer:
+#     df.to_excel(writer, sheet_name="RawData", index=False)
+#     freq_zone1.to_excel(writer, sheet_name="Freq_Zone1", index=False)
+#     freq_zone2.to_excel(writer, sheet_name="Freq_Zone2", index=False)
+
+# print("Excel 檔案已生成：威力彩分析_114000079_115000007.xlsx")
+
+
+import random
+
+# 模擬一次威力彩開獎
+main_numbers = random.sample(range(1, 39), 6)  # 從1~38中抽6個
+special_number = random.randint(1, 8)          # 從1~8中抽1個
+print("第一區:", sorted(main_numbers))
+print("特別號:", special_number)