# NumPy - amin() function

The NumPy amin() function returns the minimum of an array or minimum along the specified axis.

### Syntax

```numpy.amin(a, axis=None, out=None, keepdims=<no value>)
```

### Parameters

 `a` `Required. `Specify the input array. `axis` `Optional. `Specify axis or axes along which to operate. The default, axis=None, operation is performed on flattened array. `out` `Optional. `Specify the output array in which to place the result. It must have the same shape as the expected output. `keepdims` `Optional. `If this is set to True, the reduced axes are left in the result as dimensions with size one. With this option, the result will broadcast correctly against the input array.

### Return Value

Returns minimum of a. If axis is None, the result is a scalar value. If axis is given, the result is an array of dimension a.ndim - 1.

### Example: amin() of flattened array

In the example below, amin() function is used to return the minimum of all values present in the array.

```import numpy as np
Arr = np.array([[10,20],[30, 40]])

print("Array is:")
print(Arr)

#minimum of all values
print("\nMinimum of all values:", np.amin(Arr))
```

The output of the above code will be:

```Array is:
[[10 20]
[30 40]]

Minimum of all values: 10
```

### Example: amin() with axis parameter

When axis parameter is provided, minimum is calculated over the specified axes as shown in the example below.

```import numpy as np
Arr = np.array([[10,20,30],[70,80,90]])

print("Array is:")
print(Arr)

#minimum along axis=0
print("\nMinimum along axis=0")
print(np.amin(Arr, axis=0))

#minimum along axis=1
print("\nMinimum along axis=1")
print(np.amin(Arr, axis=1))
```

The output of the above code will be:

```Array is:
[[10 20 30]
[70 80 90]]

Minimum along axis=0
[10 20 30]

Minimum along axis=1
[10 70]
```

❮ NumPy - Functions

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