ValueError object too deep for desired array while using convolution

Question

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

User · Answer

You could try using scipy ndimage convolve it allows convolution of multidimensional images  here is the docs

User · Answer

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

User · Answer

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

User · Answer

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

[python] ValueError: object too deep for desired array while using convolution

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