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

Hello Guys, How are you all? Hope You all Are Fine. Today I get the following error ValueError: object too deep for desired array while using convolution in python. So Here I am Explain to you all the possible solutions here.

Without wasting your time, Let’s start This Article to Solve This Error.

How ValueError: object too deep for desired array while using convolution Error Occurs?

Today I get the following error ValueError: object too deep for desired array while using convolution in python.

How To Solve ValueError: object too deep for desired array while using convolution Error ?

  1. How To Solve ValueError: object too deep for desired array while using convolution Error ?

    To Solve ValueError: object too deep for desired array while using convolution Error np.convolve() takes one dimension array. You need to check the input and convert it into 1D.

  2. ValueError: object too deep for desired array while using convolution

    To Solve ValueError: object too deep for desired array while using convolution Error np.convolve() takes one dimension array. You need to check the input and convert it into 1D.

Solution 1

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

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.

Summery

It’s all About this issue. Hope all solution helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which solution worked for you? Thank You.

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