【predict_demo】预测 demo，用于演示预测逻辑

+'''
+用于测试预测逻辑
+@Author: QST520
+'''
+import numpy as np
+
+import datetime
+import matplotlib.pyplot as plt
+
+
+def datetime_to_number(date: str):  # 格式化日期转换为 integer
+    date_number = datetime.datetime.strptime(date, "%Y-%m-%d")
+    base_number = datetime.datetime.strptime("2024-1-1", "%Y-%m-%d")
+    return date_number.__sub__(base_number).days
+
+
+if __name__ == '__main__':  # 预测 demo
+    xs = [
+        '2024-6-4', '2024-6-5', '2024-6-6', '2024-6-7', '2024-6-8', '2024-6-9',
+        '2024-6-10', '2024-6-11', '2024-6-12', '2024-6-13'
+    ]
+    ys = [15, 14, 16, 15, 16, 13, 12, 11, 9, 8]
+    xs = np.array(list(map(datetime_to_number, xs)))
+    ys = np.array(ys)
+    fit = np.polyfit(xs, ys, 1)
+    fn = np.poly1d(fit)
+    print('2024-6-14 PREDICTION: ' +
+          str(int(fn(datetime_to_number('2024-6-14')))))
+    print('2024-6-15 PREDICTION: ' +
+          str(int(fn(datetime_to_number('2024-6-15')))))
+    print('2024-6-16 PREDICTION: ' +
+          str(int(fn(datetime_to_number('2024-6-16')))))
+    print('2024-6-17 PREDICTION: ' +
+          str(int(fn(datetime_to_number('2024-6-17')))))
+    print('2024-6-18 PREDICTION: ' +
+          str(int(fn(datetime_to_number('2024-6-18')))))