﻿ NumPy: Calculate the difference between the maximum and the minimum values of a given array along the second axis - w3resource

# NumPy: Calculate the difference between the maximum and the minimum values of a given array along the second axis

## NumPy Statistics: Exercise-3 with Solution

Write a NumPy program to calculate the difference between the maximum and the minimum values of a given array along the second axis.

Sample Solution:-

Python Code:

``````import numpy as np
x = np.arange(12).reshape((2, 6))
print("\nOriginal array:")
print(x)
r1 = np.ptp(x, 1)
r2 = np.amax(x, 1) - np.amin(x, 1)
assert np.allclose(r1, r2)
print("\nDifference between the maximum and the minimum values of the said array:")
print(r1)
```
```

Sample Output:

```Original array:
[[ 0  1  2  3  4  5]
[ 6  7  8  9 10 11]]

Difference between the maximum and the minimum values of the said array:
[5 5]
```

Python Code Editor:

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## Python: Tips of the Day

Chain Operators

You can chain comparison operators in Python as following: n = 10 result = 1 < n < 20

```distance = 200
checker = 100 < distance < 350

print(checker)
```

Output:

`True`