具有SciPy lfilter()的Matlab filter() [英] Matlab filter() with SciPy lfilter()

问题描述

根据他们的 Matlab filter()和 SciPy lfilter()，就像它们应该是兼容的".但是我有一个问题，在Python中移植更大的Matlab代码，为此我得到了ValueError: object of too small depth for desired array.由于我想不出如何不复杂地展示我的原始资料，我将使用Matlab文档中提供的示例:

According to their documentation for Matlab filter() and SciPy lfilter(), it seems like they should be "compatible". However I have a problem, porting larger Matlab code in Python, for which I get ValueError: object of too small depth for desired array. As I can't think of how I can present my source without complicating it, I'll use the example provided in Matlab's documentation:

data = [1:0.2:4]';
windowSize = 5;
filter(ones(1,windowSize)/windowSize,1,data)

我在Python中将其翻译为:

which I translate in Python to:

import numpy as np
from scipy.signal import lfilter

data = np.arange(1, 4.1, 0.2)
windowSize = 5
lfilter(np.ones((1, windowSize)) / windowSize, 1, data)

在这种情况下，我得到:
ValueError: object too deep for desired array

In this case I get:
ValueError: object too deep for desired array

为什么会出现这些错误?

Why do I get these errors?

推荐答案

创建数组时是否有理由添加一个额外的维?这是您需要的吗?

Is there a reason you're adding a an extra dimension when creating your array of ones? Is this what you need:

lfilter(np.ones(windowSize) / windowSize, 1, data)

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