﻿ NumPy: Test whether two arrays are element-wise equal within a tolerance - w3resource # NumPy: Test whether two arrays are element-wise equal within a tolerance

## NumPy: Basic Exercise-9 with Solution

Write a NumPy program to test whether two arrays are element-wise equal within a tolerance.

Note: The tolerance values are positive, typically very small numbers. The relative difference (rtol * abs(b)) and the absolute difference atol are added together to compare against the absolute difference between a and b.

Sample Solution :

Python Code :

``````import numpy as np
print("Test if two arrays are element-wise equal within a tolerance:")
print(np.allclose([1e10,1e-7], [1.00001e10,1e-8]))
print(np.allclose([1e10,1e-8], [1.00001e10,1e-9]))
print(np.allclose([1e10,1e-8], [1.0001e10,1e-9]))
print(np.allclose([1.0, np.nan], [1.0, np.nan]))
print(np.allclose([1.0, np.nan], [1.0, np.nan], equal_nan=True))
``````

Sample Output:

```Test if two arrays are element-wise equal within a tolerance:
False
True
False
False
True
```

Python Code Editor:

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## Python: Tips of the Day

Merges two or more lists into a list of lists, combining elements from each of the input lists based on their positions

Example:

```def tips_merge(*args, fill_value=None):
max_length = max([len(lst) for lst in args])
result = []
for i in range(max_length):
result.append([
args[k][i] if i < len(args[k])
else fill_value for k in range(len(args))
])
return result
print(tips_merge(['x', 'y'], [1, 2], [True, False]))
print(tips_merge(['x'], [1, 2], [True, False]))
print(tips_merge(['x'], [1, 2], [True, False], fill_value = '_'))
```

Output:

```[['x', 1, True], ['y', 2, False]]
[['x', 1, True], [None, 2, False]]
[['x', 1, True], ['_', 2, False]]
```