![]() Integers at every index tell about the number of items the corresponding dimension has. The shape of the array is: (1, 1, 1, 1, 4) Create an array with ndmin = 5 in NumpyĬreate the array with 5 dimensions using ndmin using the vector with values 1,2,3,4 and verify that the last dimension has value 4. The example above returns (2, 4), which means that an array has two dimensions, and each dimension has four elements. Print("The shape of the array is: ", data.shape)Īnother way to write a two-dimensional array like this and print its shape. We will verify this with a numpy array shape property. That means our dimension of the final array will be 2*2. In this example, we will define one array using the numpy arange() function and then reshape() the array to 2* 2. (5,) Find the shape of the Two-dimensional array in Numpy
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