Python | Flatten a 2d numpy array into 1d array
Given a 2d numpy array, the task is to flatten a 2d numpy array into a 1d array. Below are a few methods to solve the task.
Method #1 : Using np.flatten()
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# Python code to demonstrate# flattening a 2d numpy array# into 1d array import numpy as np ini_array1 = np.array([[1, 2, 3], [2, 4, 5], [1, 2, 3]]) # printing initial arraysprint("initial array", str(ini_array1)) # Multiplying arraysresult = ini_array1.flatten() # printing resultprint("New resulting array: ", result) |
Output:
initial array [[1 2 3] [2 4 5] [1 2 3]] New resulting array: [1 2 3 2 4 5 1 2 3]
Method #2: Using np.ravel()
# Python code to demonstrate# flattening a 2d numpy array# into 1d array import numpy as np ini_array1 = np.array([[1, 2, 3], [2, 4, 5], [1, 2, 3]]) # printing initial arraysprint("initial array", str(ini_array1)) # Multiplying arraysresult = ini_array1.ravel() # printing resultprint("New resulting array: ", result) |
Output:
initial array [[1 2 3] [2 4 5] [1 2 3]] New resulting array: [1 2 3 2 4 5 1 2 3]
Method #3: Using np.reshape()
# Python code to demonstrate# flattening a 2d numpy array# into 1d array import numpy as np ini_array1 = np.array([[1, 2, 3], [2, 4, 5], [1, 2, 3]]) # printing initial arraysprint("initial array", str(ini_array1)) # Multiplying arraysresult = ini_array1.reshape([1, 9]) # printing resultprint("New resulting array: ", result) |
Output:
initial array [[1 2 3] [2 4 5] [1 2 3]] New resulting array: [[1 2 3 2 4 5 1 2 3]]
