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pythonarraysdimensions
Anderson Green
Anderson Green

Reputation: 31850

Find the dimensions of a multidimensional Python array

In Python, is it possible to write a function that returns the dimensions of a multidimensional array (given the assumption that the array's dimensions are not jagged)?

For example, the dimensions of [[2,3], [4,2], [3,2]] would be [3, 2], while the dimensions of [[[3,2], [4,5]],[[3,4],[2,3]]] would be [2,2,2].

Does Python have any built-in functions that will return all of the dimensions of a multidimensional array, or will I need to implement this function myself?

Upvotes: 38

Views: 191839

Answers (6)

Pablo Cárdenas
Pablo Cárdenas

Reputation: 33

Iterative approach

a = [[[3,2], [4,5]],[[3,4],[2,3]]]
shape = []
b = a
while type(b) == list:
    shape.append(len(b))
    b = b[0]
print(shape)

Upvotes: 2

Mostafa Alheyaly
Mostafa Alheyaly

Reputation: 29

import numpy as np
# define array 3 row and 5 colums
a = np.arange(15).reshape(3, 5)
print ("the array elements:\n",a);
# print all dim 
print("all dim :\n",a.shape)
# the print the number of row only
print("the number of rows :\n",a.shape[0])
# the print the number of colume only
print("the number of cols :\n",a.shape[1])

enter image description here

Upvotes: 1

David Heffernan
David Heffernan

Reputation: 613572

That is not a multi-dimensional array. It is a list. It happens to contain other lists. There's nothing to say that your list could not be:

[[2,3], [4,2], [3,2,4,5,6]]

In which case, what value would you expect such a function to return?

There is no general function that does what you ask, not least because Python itself does not define a matrix/array class. You certainly can write your own function which operates on iterable objects like lists and tuples if you are prepared to make assumptions, or write assertions, as to the uniformity of the list. Use len(a) for the first dimension, len(a[0]) for the second, and so on. Recursion will be your friend here.

If you used a numpy array for your matrix, which to be honest would make a lot of sense, then your function would exist (it is the shape property of the ndarray class) and be meaningful.

Upvotes: 8

jason
jason

Reputation: 241789

No, there's nothing built-in because with such "arrays"1 it can be jagged and the concept of "dimensions" or "shape" doesn't make any sense at all. So, you'll have to write your own. If you can make an assumption of uniformity along all dimensions, you can proceed as follows:

dim1 = len(a)
dim2 = len(a[0])
dim3 = len(a[0][0])
.
.
.

It'd be pretty easy to make this recursive to handle all dimensions. This should do it:

def dim(a):
    if not type(a) == list:
        return []
    return [len(a)] + dim(a[0])

But if you need something like this, you might want to consider looking at NumPy arrays which have numpy.ndarray.shape which would give you what you're looking for.

from numpy import array
l = [[2, 3], [4, 2], [3, 2]]
a = array(l)
print a.shape

Output

(3, 2)

1 In scare quotes because you're not really looking at array, you're looking at a list, or a list of lists, or a list of list of lists....

Upvotes: 55

Archit Jain
Archit Jain

Reputation: 2234

Assuming the input array is not jagged :

def arr_dimen(a):
  return [len(a)]+arr_dimen(a[0]) if(type(a) == list) else []

Upvotes: 5

Ben
Ben

Reputation: 68658

You can do it with numpy:

import numpy
l = [[2,3], [4,2], [3,2]]
m = numpy.array(l)
print m.shape

But the shape of your second example is [2,2,2], not [1,4,5], unless I've misunderstood your question...

Upvotes: 18

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