Predictive Data Analysis with Python/

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Solution: Find Min and Max from a 2-D NumPy Array

Solution: Find Min and Max from a 2-D NumPy Array

This lesson gives a detailed review of the solution to the challenge in the previous lesson.

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Solution #

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def getMinMax(arr):
  
  res = []
  
  for i in range(arr.shape[0]): # Traverse over each row
    
    res.append(arr[i].min()) # Store minimum element in list
    
    res.append(arr[i].max()) # Store maximum element in list
    
  return res
# Test Code
arr = np.random.randint(1,100, size=(5,5))
print("The Original Array:")
print(arr)
res_arr = getMinMax(arr)
print("\nThe Resultnt list with min & max values:")
print(res_arr)

Explanation

A function getMinMax is declared with arr passed to it as a parameter.

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