给这个python代码加上注释import numpy as np import matplotlib.pyplot as plt modes = ['full', 'same', 'valid'] modes = [ 'valid'] data=np.ones(200) data=np.random.randint(1,20,size=(300)) window=np.ones(10)/10 for m in modes: # data_tmp=np.convolve(data, window, mode=m) #请自行查阅卷积的参数含义 correlate data_tmp = np.correlate(data, window, mode=m) # 请自行查阅相关的参数含义 correlate plt.plot(data_tmp); plt.plot(data); plt.axis([-10, 300, -.1, 25]); plt.legend(modes+['data'], loc='lower center'); plt.show() a=45、
时间: 2024-04-28 14:19:34 浏览: 193
import numpy as np import matplotlib.pyplot as plt import math
# 导入必要的库
import numpy as np
import matplotlib.pyplot as plt
# 定义模式列表
modes = ['full', 'same', 'valid']
modes = ['valid']
# 定义数据数组
data = np.ones(200)
data = np.random.randint(1, 20, size=(300))
# 定义平均滤波器窗口
window = np.ones(10) / 10
# 遍历模式列表,计算相关结果并绘图
for m in modes:
# 使用 np.correlate 函数计算相关结果
data_tmp = np.correlate(data, window, mode=m)
# 绘制相关结果和数据数组的图像
plt.plot(data_tmp)
plt.plot(data)
# 设置图像坐标轴范围和图例
plt.axis([-10, 300, -.1, 25])
plt.legend(modes+['data'], loc='lower center')
# 显示图像
plt.show()
# 定义变量 a
a = 45
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