﻿ 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

Python: Use Enumerate() In for Loops

```>>> students = ('John', 'Mary',  'Mike')
>>> for i, student in enumerate(students):
...     print(f'Iteration:  {i}, Student: {student}')
...
Iteration: 0, Student: John
Iteration: 1, Student: Mary
Iteration: 2, Student: Mike
>>> for i, student in enumerate(students,  35001):
...      print(f'Student Name: {student}, Student ID #: {i}')
...
Student Name: John, Student ID #: 35001
Student Name: Mary, Student ID #: 35002
Student Name: Mike, Student ID #: 35003
```