NumPy Array Shape
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Shape of an ArrayThe shape of an array is the number of elements in each dimension. Show Get the Shape of an ArrayNumPy arrays have an attribute called shape that returns a tuple with each index having the number of corresponding elements. ExamplePrint the shape of a 2-D array:
import numpy as np
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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. ExampleCreate an array with 5 dimensions using ndmin using a vector with values 1,2,3,4 and verify that last dimension has value 4:
import numpy as np
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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. Test Yourself With ExercisesExercise:Use the correct NumPy syntax to check the shape of an array.
arr = np.array([1, 2, 3, 4, 5])
print(arr.)
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