Hi Team, My understanding is that .shape provides (Number of rows, Number of columns) for a given matrix or vector. For the vector v = np.array([5, -2, 4]), v.shape gives (3, ) => Wouldn't this mean 3 rows and 1 column ? Therefore, by default isn't v a column vector as opposed to a row vector ? Appreciate if you could clarify this.

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25 Apr 2022

Is v actually a row vector by default ?

Hi Team,

My understanding is that .shape provides (Number of rows, Number of columns) for a given matrix or vector.

For the vector v = np.array([5, -2, 4]), v.shape gives (3, ) => Wouldn't this mean 3 rows and 1 column ?

Therefore, by default isn't v a column vector as opposed to a row vector ?

Appreciate if you could clarify this.

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