# How do I find the length (or dimensions, size) of a numpy matrix in python?

### Python

For a numpy matrix in python

`from numpy import matrix A = matrix([[1,2],[3,4]])`

How can I find the length of a row (or column) of this matrix? Equivalently, how can I know the number of rows or columns?

So far, the only solution I've found is:

`len(A) len(A[:,1]) len(A[1,:])`

Which returns 2, 2, and 1, respectively. From this, I've gathered that len() will return the number of rows, so I can always use the transpose, len(A.T), for the number of columns. However, this feels unsatisfying and arbitrary, as when reading the line len(A), it isn't immediately obvious that this should return the number of rows. It actually works differently than len([1,2]) would for a 2D python array, as this would return 2.

So, is there a more intuitive way to find the size of a matrix, or is this the best I have?

### Replies

You can use the shape property to get the matrix size. It will return a tuple with the number of rows and columns. Here is how you can use it.

from numpy import matrix

A = matrix([[1,2],[3,4]])

print(A.shape)

(2, 2)

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