华荣三照明、合信、荣欣八组合馈电

Test/Temperature.py

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+import numpy as np
+from scipy.optimize import curve_fit
+import matplotlib.pyplot as plt
+
+# 读取数据
+data = np.genfromtxt('10K 热敏电阻对照表（25°为基准）.csv', delimiter=',', skip_header=1,
+                     usecols=(0, 2), names=['Temperature', 'Rnor'])
+# 提取温度和Rnor数据
+temperature = data['Temperature']
+r_nor = data['Rnor']
+
+
+# 定义拟合函数，这里采用二次函数作为示例
+def fit_function(x, a, b, c):
+    return a * x ** 2 + b * x + c
+
+
+# 进行曲线拟合
+p0 = [1, 1, 1]  # 初始猜测值
+popt, pcov = curve_fit(fit_function, temperature, r_nor, p0=p0)
+
+# 生成用于绘图的拟合数据
+x_fit = np.linspace(-30, 300, 400)
+y_fit = fit_function(x_fit, *popt)
+
+# 绘制原始数据和拟合曲线
+plt.scatter(temperature, r_nor, label='Original Data')
+plt.plot(x_fit, y_fit, 'r-', label='Fitted Curve')
+plt.xlabel('Temperature (°C)')
+plt.ylabel('Rnor (k Ohms)')
+plt.title('Thermistor Resistance vs Temperature Fitting')
+plt.legend()
+plt.grid(True)
+plt.show()