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NumPy: Get the minimum and maximum value of a given array along the second axis

NumPy Statistics: Exercise-2 with Solution

Write a NumPy program to get the minimum and maximum value of a given array along the second axis.

Sample Solution:-

Python Code:

import numpy as np
x = np.arange(4).reshape((2, 2))
print("\nOriginal array:")
print(x)
print("\nMaximum value along the second axis:")
print(np.amax(x, 1))
print("Minimum value along the second axis:")
print(np.amin(x, 1))

Sample Output:

Original array:
[[0 1]
 [2 3]]

Maximum value along the second axis:
[1 3]
Minimum value along the second axis:
[0 2]

Python Code Editor:

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Previous: Write a Python program to find the maximum and minimum value of a given flattened array.
Next: Write a NumPy program to calculate the difference between the maximum and the minimum values of a given array along the second axis.

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Python: Tips of the Day

Checks if the given number falls within the given range.

Example:

def tips_range(n, start, end = 0):
  return start <= n <= end if end >= start else end <= n <= start
print(tips_range(2, 4, 6))
print(tips_range(4, 8))
print(tips_range(1, 3, 5))
print(tips_range(1, 3))

Output:

False
True
False
True