fitt/X1.py

import random
import numpy as np
def random_points():
    x=[]
    y=[]
    for i in range(20):
        x_= random.uniform(0, 1000)	# 生成随机浮点数
        y_= random.uniform(0, 1000)	# 生成随机浮点数
        x.append(x_) 	# 加入列表
        y.append(y_)
    x=np.array(x) 	# 列表转数组
    y=np.array(y)
    arr = np.array(list(zip(x, y)))	# 将两个一维数组拼接成二维数组
    return arr
# if __name__ == '__main__':
#     arr = random_points()
#     print(arr)

def compute_curveData(num, step, coefficient):	# coefficient代表二次函数系数，数组形式
    def quadratic_function(x):	                         # 构造二次函数y = a * X^2 + b * X + C
        return coefficient[0] * x ** 2 + coefficient[1] * x + coefficient[2]
    x_values = np.arange(0, num, step)
    y_values = quadratic_function(x_values)		  # 调用quadratic_function(x)函数得到y值
    curve_data = np.column_stack((x_values, y_values))  # 将两个一维数组堆叠成二维数组，形成(x,y)的形式
    return curve_data
if __name__ == '__main__':
    coefficient = [1, 2, 3]
    ans = compute_curveData(1000, 250, coefficient)
    print(ans)