﻿ NumPy: Compute the 80th percentile for all elements in a given array along the second axis - w3resource # NumPy: Compute the 80th percentile for all elements in a given array along the second axis

## NumPy Statistics: Exercise-4 with Solution

Write a NumPy program to compute the 80th percentile for all elements in 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.percentile(x, 80, 1)
print("\n80th percentile for all elements of the said array along the second axis:")
print(r1)
```
```

Sample Output:

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

80th percentile for all elements of the said array along the second axis:
[ 4. 10.]
```

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`