[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Keep also in mind that numpy is quite different from Matlab. In Matlab every vaiable is a matrix of at least 2 dimensions. This is not the case of numpy (and is not the case in Fortran too). every array can have a different number of dimensions. The transposition of an array with just 1 dimension is not really meaningful. On the other hand most of the time is not needed. For example le have a matrix: a = np.array([[1,2],[1,1]]) and an array: b = np.array([0.1,0.2]) You can left multiply or right multiply it to this matrix without any need to transpose it (as you have to do in Matlab): a @ b array([0.5,0.3]) b @ a array([0.3,0.4]) Cheers,

- Prev by Date:
**Difference between array( [1,0,1] ) and array( [ [1,0,1] ] )** - Next by Date:
**pip vs python -m pip?** - Previous by thread:
**Difference between array( [1,0,1] ) and array( [ [1,0,1] ] )** - Next by thread:
**Difference between array( [1,0,1] ) and array( [ [1,0,1] ] )** - Index(es):