仅曲线拟合部分数据/histogramm (python，matplotlib)

import numpy as np
import matplotlib.pyplot as plt

# 生成一组随机数据
x = np.linspace(0, 10, 100)
y = 2 * x + np.random.randn(100)

# 进行一次多项式拟合
coefficients = np.polyfit(x, y, 1)
polynomial = np.poly1d(coefficients)

# 绘制原始数据和拟合曲线
plt.scatter(x, y, label='Data')
plt.plot(x, polynomial(x), color='red', label='Fitted curve')
plt.xlabel('x')
plt.ylabel('y')
plt.legend()
plt.show()

import numpy as np
import matplotlib.pyplot as plt

# 生成一组随机数据
data = np.random.randn(1000)

# 绘制直方图
plt.hist(data, bins=30, edgecolor='black')
plt.xlabel('Value')
plt.ylabel('Frequency')
plt.title('Histogram')
plt.show()