NumPy Array Shape
Shape of an Array
The shape of an array is the number of elements in each dimension.
Get the Shape of an Array
NumPy arrays have an attribute called
shape that returns a tuple with each index having the number of corresponding elements.
Print the shape of a 2-D array:
arr = np.array([[1, 2, 3, 4], [5, 6, 7, 8]])
The example above returns
(2, 4), which means that the array has 2 dimensions,
where the first dimension has 2 elements and the second has 4.
Create an array with 5 dimensions using
ndmin using a vector with values 1,2,3,4 and verify that last dimension has value 4:
arr = np.array([1, 2, 3, 4], ndmin=5)
print('shape of array :', arr.shape)
What does the shape tuple represent?
Integers at every index tells about the number of elements the corresponding dimension has.
In the example above at index-4 we have value 4, so we can say that 5th ( 4 + 1 th) dimension has 4 elements.