﻿ NumPy: Compute pearson product-moment correlation coefficients of two given arrays - w3resource

# NumPy: Compute pearson product-moment correlation coefficients of two given arrays

## NumPy Statistics: Exercise-10 with Solution

Write a NumPy program to compute pearson product-moment correlation coefficients of two given arrays.

Sample Solution:-

Python Code:

``````import numpy as np
x = np.array([0, 1, 3])
y = np.array([2, 4, 5])
print("\nOriginal array1:")
print(x)
print("\nOriginal array1:")
print(y)
print("\nPearson product-moment correlation coefficients of the said arrays:\n",np.corrcoef(x, y))
```
```

Sample Output:

```Original array1:
[0 1 3]

Original array1:
[2 4 5]

Pearson product-moment correlation coefficients of the said arrays:
[[1.         0.92857143]
[0.92857143 1.        ]]
```

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`