## NUMPY BASIC EXERCISE 11

Checks two array whether they are equal and equal in tolerance.

In this exercise, we are going to compare two arrays and check two cases of equality and equality with tolerance.

### Code

```import numpy as np
arr1 = np.array([10,20,30,40,50,-40,-10, 200])
arr2 = np.array([10,20,30,40,50,-40,-10, 200.002])
print("Initial Arrays")
print(arr1)
print(arr2)
print("Checks the equality")
print(np.equal(arr1, arr2))
print("Checks thw equality within a tolerance:")
print(np.allclose(arr1, arr2))```

### Output

```Initial Arrays
[ 10  20  30  40  50 -40 -10 200]
[ 10.     20.     30.     40.     50.    -40.    -10.    200.002]
Checks the equality
[ True  True  True  True  True  True  True False]
Checks thw equality within a tolerance:
True```

### Code Editor

``` ``` ``` import numpy as np arr1 = np.array([10,20,30,40,50,-40,-10, 200]) arr2 = np.array([10,20,30,40,50,-40,-10, 200.002]) print("Initial Arrays") print(arr1) print(arr2) print("Checks the equality") print(np.equal(arr1, arr2)) print("Checks thw equality within a tolerance:") print(np.allclose(arr1, arr2)) ``` ``` ```