What does "ValueError: object too deep for desired array" mean and how to fix it?
PythonNumpyConvolutionValueerrorPython Problem Overview
I'm trying to do this:
h = [0.2, 0.2, 0.2, 0.2, 0.2]
Y = np.convolve(Y, h, "same")
Y looks like this:
While doing this I get this error:
ValueError: object too deep for desired array
Why is this?
My guess is because somehow the convolve function does not see Y as a 1D array.
Python Solutions
Solution 1 - Python
The Y array in your screenshot is not a 1D array, it's a 2D array with 300 rows and 1 column, as indicated by its shape being (300, 1).
To remove the extra dimension, you can slice the array as Y[:, 0]. To generally convert an n-dimensional array to 1D, you can use np.reshape(a, a.size).
Another option for converting a 2D array into 1D is flatten() function from numpy.ndarray module, with the difference that it makes a copy of the array.
Solution 2 - Python
np.convolve() takes one dimension array. You need to check the input and convert it into 1D.
You can use the np.ravel(), to convert the array to one dimension.
Solution 3 - Python
You could try using scipy.ndimage.convolve it allows convolution of multidimensional images. here is the docs
Solution 4 - Python
np.convolve needs a flattened array as one of it's inputs, you can use numpy.ndarray.flatten() which is quite fast, find it here.