Create a contiguous flattened NumPy array
Let us see how to create a contiguous array in NumPy.The contiguous flattened array is a two-dimensional and multi-dimensional array that is stored as a one-dimensional array. We will be using the ravel() method to perform this task.
Syntax : numpy.ravel(array, order = ‘C’)
Parameters :
- array : Input array.
- order : C-contiguous, F-contiguous, A-contiguous; optional
Returns : Flattened array having same type as the Input array and and order as per choice.
Example 1 : Flattening a 2D array.
Python3
# Importing librariesimport numpy as np # Creating 2D arrayarr = np.array([[5, 6, 7], [8, 9, 10]])print("Original array:\n", arr) # Flattening the arrayflattened_array = np.ravel(arr)print("New flattened array:\n", flattened_array) |
Output :
Original array: [[ 5 6 7] [ 8 9 10]] New flattened array: [ 5 6 7 8 9 10]
Example 2 : Flattening a 3D array.
Python3
# Importing librariesimport numpy as np # Creating 3D arrayarr = np.array([[[3, 4], [5, 6]], [[7, 8], [9, 0]]])print("Original array:\n", arr) # Flattening the arrayflattened_array = np.ravel(arr)print("New flattened array:\n", flattened_array) |
Output :
Original array: [[[3 4] [5 6]] [[7 8] [9 0]]] New flattened array: [3 4 5 6 7 8 9 0]
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