﻿ NumPy: Find the maximum and minimum value of a given flattened array - w3resource # NumPy: Find the maximum and minimum value of a given flattened array

## NumPy Statistics: Exercise-1 with Solution

Write a Python program to find the maximum and minimum value of a given flattened array.

Sample Solution:-

Python Code:

``````import numpy as np
a = np.arange(4).reshape((2,2))
print("Original flattened array:")
print(a)
print("Maximum value of the above flattened array:")
print(np.amax(a))
print("Minimum value of the above flattened array:")
print(np.amin(a))
```
```

Sample Output:

```Original flattened array:
[[0 1]
[2 3]]
Maximum value of the above flattened array:
3
Minimum value of the above flattened array:
0
```

Python Code Editor:

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## Python: Tips of the Day

Checks if the given number falls within the given range.

Example:

```def tips_range(n, start, end = 0):
return start <= n <= end if end >= start else end <= n <= start
print(tips_range(2, 4, 6))
print(tips_range(4, 8))
print(tips_range(1, 3, 5))
print(tips_range(1, 3))
```

Output:

```False
True
False
True
```