9 авг. 2012 г. · NumPy's transpose() effectively reverses the shape of an array. If the array is one-dimensional, this means it has no effect. |
25 окт. 2019 г. · Transposing a 1-D array returns an unchanged view of the original array. In your case, y is a 1-D array, hence the transposed output will be unchanged. |
22 авг. 2018 г. · transpose does not modify the input array but returns the transposed array. You should do. J_vals_t = numpy.transpose(J_vals) print(J_vals_t). |
19 окт. 2019 г. · A 1d numpy array is not a matrix. It's not a row vector either. numpy has defined transpose to work with any dimension array, 0, 1 or even 3. |
24 янв. 2022 г. · Numpy transpose of 1D array not giving expected result · 1 · numpy: modifyng a transposed array don't work as expected ... transpose of matrix · 1. |
26 авг. 2018 г. · From the documentation: numpy.matrix.transpose. Returns a view of the array with axes transposed. For a 1-D array, this has no effect. |
8 февр. 2022 г. · A NumPy transpose reverses the order of all dimensions an array actually has; if an array is not already 2D, it will not force the array to be ... |
14 нояб. 2018 г. · A 1D array is itself once transposed, contrary to Matlab where a 1D array doesn't exist and is at least 2D. What you want is to reshape it. |
4 апр. 2019 г. · You need to assign the output of np.squeeze(image,(3,)) to a variable, it does not do in-place changes to the variable. |
11 авг. 2020 г. · The transpose of an array creates a new array object with just the shape and strides reversed. Array data is not copied, so the operation is ... |
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