对数组数据进行平均、中值，高斯滤波，请给出python代码

好的，这是对数组数据进行平均、中值和高斯滤波的Python代码：

平均滤波：

import numpy as np

def average_filter(data, filter_size):
    kernel = np.ones(filter_size) / filter_size
    filtered_data = np.convolve(data, kernel, mode='same')
    return filtered_data

中值滤波：

import numpy as np

def median_filter(data, filter_size):
    filtered_data = np.zeros_like(data)
    for i in range(len(data)):
        start = max(0, i - filter_size)
        end = min(len(data), i + filter_size + 1)
        filtered_data[i] = np.median(data[start:end])
    return filtered_data

高斯滤波：

import numpy as np
from scipy import signal

def gaussian_filter(data, sigma):
    size = int(2 * np.ceil(3 * sigma) + 1)
    kernel = signal.gaussian(size, sigma)
    kernel /= kernel.sum()
    filtered_data = np.convolve(data, kernel, mode='same')
    return filtered_data

希望这些代码能够帮到你！