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Home/ Questions/Fixing the error "valueerror: object too deep for desired array".
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Lyric Smith
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Lyric Smith
Asked: May 18, 20222022-05-18T16:04:39+00:00 2022-05-18T16:04:39+00:00In: python

Fixing the error “valueerror: object too deep for desired array”.

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I am new to python and searching the “valueerror: object too deep for desired array” to understand it better. It seems it doesn’t work as expected when I used some suggestions before. Here is the command line I use:

h = [0.2, 0.2, 0.2, 0.2, 0.2]
 
 Y = np.convolve(Y, h, "same")

The error I’m getting is below:

ValueError: object too deep for desired array

Please give me the solution to this issue.

object too deep for desired array
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    dttutoria Expert
    2022-06-16T09:57:52+00:00Added an answer on June 16, 2022 at 9:57 am

    The cause: 

    The Y array in your example is a 2D array with 300 rows and 1 column (300, 1), not a 1D array. While np.convolve() only accepts one-dimensional arrays, not multidimensional arrays, so it throws error “valueerror: object too deep for desired array”.

    Solution:

    You can cut the array as Y[:, 0] to get rid of the extra dimension. Use np.reshape(a, a.size) to generally convert multidimensional array to 1D. The flatten() function from the numpy.ndarray module is another alternative for converting a 2D array to a 1D array. However, the difference that it creates a copy of the array.

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  2. Maël Georges
    2022-05-25T20:28:23+00:00Added an answer on May 25, 2022 at 8:28 pm

    np.convolve() can only accept one dimension arrays It is necessary to verify the input and convert it into one dimension.

    To convert an array to one dimension, you can use np.ravel().

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