# numpy.minimum() in Python

`numpy.minimum()` function is used to find the element-wise minimum of array elements.

It compare two arrays and returns a new array containing the element-wise minima. If one of the elements being compared is a NaN, then that element is returned. If both elements are NaNs then the first is returned.

Syntax : numpy.minimum(arr1, arr2, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, ufunc ‘minimum’)

Parameters :
arr1 : [array_like] Input array.
arr2 : [array_like] Input array.
out : [ndarray, optional] A location into which the result is stored.
-> If provided, it must have a shape that the inputs broadcast to.
-> If not provided or None, a freshly-allocated array is returned.
**kwargs : allows you to pass keyword variable length of argument to a function. It is used when we want to handle named argument in a function.
where : [array_like, optional]True value means to calculate the universal functions(ufunc) at that position, False value means to leave the value in the output alone.

Return : [ndarray or scalar] Result.
The minimum of arr1 and arr2, element-wise. This is a scalar if both arr1 and arr2 are scalars.

Code #1 : Working

 `# Python program explaining ` `# minimum() function ` ` `  `import` `numpy as geek ` `in_num1 ``=` `10` `in_num2 ``=` `21` ` `  `print` `(``"Input  number1 : "``, in_num1) ` `print` `(``"Input  number2 : "``, in_num2)  ` `   `  `out_num ``=` `geek.minimum(in_num1, in_num2)  ` `print` `(``"minimum of 10 and 21 : "``, out_num)  `

Output :

```Input  number1 :  10
Input  number2 :  21
minimum of 10 and 21 :  10
```

Code #2 :

 `# Python program explaining ` `# minimum() function ` ` `  `import` `numpy as geek ` ` `  `in_arr1 ``=` `[``2``, ``8``, ``125``] ` `in_arr2 ``=` `[``3``, ``3``, ``15``] ` `  `  `print` `(``"Input array1 : "``, in_arr1)  ` `print` `(``"Input array2 : "``, in_arr2) ` `   `  `out_arr ``=` `geek.minimum(in_arr1, in_arr2)  ` `print` `(``"Output array after selecting minimum: "``, out_arr)  `

Output :

```Input array1 :  [2, 8, 125]
Input array2 :  [3, 3, 15]
Output array after selecting minimum:  [ 2  3 15]
```

Code #3 :

 `# Python program explaining ` `# minimum() function ` ` `  `import` `numpy as geek ` ` `  `in_arr1 ``=` `[geek.nan, ``0``, geek.nan] ` `in_arr2 ``=` `[geek.nan, geek.nan, ``0``] ` `  `  `print` `(``"Input array1 : "``, in_arr1)  ` `print` `(``"Input array2 : "``, in_arr2) ` `   `  `out_arr ``=` `geek.minimum(in_arr1, in_arr2)  ` `print` `(``"Output array after selecting minimum: "``, out_arr)  `

Output :

```Input array1 :  [nan, 0, nan]
Input array2 :  [nan, nan, 0]
Output array after selecting minimum:  [ nan  nan  nan]
```

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