Exercise v3.0

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Use a correct NumPy method to change the shape of an array from 2-D to 1-D.

arr = np.array([[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]]) newarr = arr.@(11)

arr = np.array([[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]]) newarr = arr.reshape(-1)

arr = np.array([[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]]) newarr = arr.reshape(6)

arr = np.array([[1, 2, 3, 4, 5, 6], [7, 8, 9, 10, 11, 12]]) newarr = arr.flatten()

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NUMPY Creating Arrays

Exercise 1 Exercise 2 Exercise 3 Go to NUMPY Creating Arrays Tutorial

NUMPY Indexing Arrays

Exercise 1 Exercise 2 Exercise 3 Exercise 4 Go to NUMPY Indexing Arrays Tutorial

NUMPY Slicing Arrays

Exercise 1 Exercise 2 Exercise 3 Exercise 4 Go to NUMPY Slicing Arrays Tutorial

NUMPY Data Types

Exercise 1 Exercise 2 Exercise 3 Exercise 4 Go to NUMPY Data Types Tutorial

NUMPY Copy vs View

Exercise 1 Exercise 2 Go to NUMPY Copy vs View Tutorial

NUMPY Array Shape

Exercise 1 Exercise 2 Exercise 3 Go to NUMPY Array Shape Tutorial

NUMPY Array Join

Exercise 1 Go to NUMPY Array Join Tutorial

NUMPY Array Search

Exercise 1 Go to NUMPY Array Search Tutorial

NUMPY Array Sort

Exercise 1 Go to NUMPY Array Sort Tutorial

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