Numpy Array Shape Tutorials
In NumPy, the shape of a numpy array is a tuple of integers that describes the number of elements in each dimension of the array. It can be obtained using the shape attribute of the numpy array. For example:
import numpy as np
arr = np.array([[1, 2, 3], [4, 5, 6]])
print(arr.shape)
Output:
(2, 3)
Here, arr is a 2-dimensional array with 2 rows and 3 columns, so its shape is (2, 3).
Similarly, for a 1-dimensional array, the shape will be a single integer indicating the number of elements in the array. For example:
arr = np.array([1, 2, 3])
print(arr.shape)
Output:
(3,)
Here, arr is a 1-dimensional array with 3 elements, so its shape is (3,)
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