DeprecationWarning: Please use `gaussian_filter` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.

这是一个警告信息，提示你在使用高斯滤波器时，应该使用`scipy.ndimage`命名空间中的`gaussian_filter`函数，而不是`scipy.ndimage.filters`中的函数。因为`scipy.ndimage.filters`命名空间已经被弃用，不再被推荐使用。建议你使用`scipy.ndimage.gaussian_filter`来代替。

相关问题

DeprecationWarning: Please use `convolve` from the `scipy.ndimage` namespace, the `scipy.ndimage.filters` namespace is deprecated.

这个警告是因为你正在使用`scipy.ndimage.filters`命名空间中的滤波器函数，而该命名空间已经弃用。建议改用`scipy.ndimage`命名空间中的`convolve`函数。

例如，如果你要使用高斯滤波器，可以像这样：

import scipy.ndimage as ndimage
import numpy as np

# 创建一个 5x5 的高斯滤波器
sigma = 1.0
kernel = np.zeros((5, 5))
for i in range(5):
    for j in range(5):
        x, y = i - 2, j - 2
        kernel[i, j] = np.exp(-(x**2 + y**2) / (2 * sigma**2))
kernel /= kernel.sum()

# 对图像进行滤波
image_filtered = ndimage.convolve(image, kernel)

这里我使用了`ndimage.convolve`函数来代替`ndimage.filters.gaussian_filter`函数。注意，我在定义高斯滤波器时使用的是二维数组`kernel`，所以在卷积时也要使用`ndimage.convolve`函数。

DeprecationWarning: Please use `Power_divergenceResult` from the `scipy.stats` namespace, the `scipy.stats.stats` namespace is deprecated.

This warning message is informing the user that a certain function or module in the `scipy.stats.stats` namespace is deprecated and will be removed in the future. The user is advised to use the `Power_divergenceResult` function from the `scipy.stats` namespace instead. This is because the `scipy.stats.stats` namespace is no longer actively maintained and its functions may contain bugs or inconsistencies. The `scipy.stats` namespace, on the other hand, is actively maintained and provides more reliable and up-to-date statistical functions.