Python's **`numpy.positive()`** method computes the positive of a number or array element-wise. 

# Syntax
`numpy.positive()` is declared as shown below:
```python
numpy.positive(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj]) = <ufunc 'positive'>
```
> A **universal function** (ufunc) is a function that operates on ndarrays in an element-by-element fashion. The `positive()` method is a universal function. 

# Parameters 
The `numpy.positive()` method takes the following compulsory parameters:

* **`x`** [*array-like﻿ or scalar﻿*] - this is the input array.    

The `numpy.positive()` method takes the following optional parameters:



# Return value 
`numpy.positive()` returns the positive of the input, i.e. y = +x.
The return type is an array or scaler depending on the input type. 

# Examples
The examples below show the different ways `numpy.positive()` is used in Python.

## Positive of numbers 
The code below outputs the numerical positive of -17.5 and 12. The result is shown below:

import numpy as np
a = -17.5 
b = -20
print (np.positive(a))
print (np.positive(b))


## Positive of arrays
The example below outputs the element-wise numerical positive of arrays `arr1` and `arr2`:

import numpy as np

arr1 = np.array([20,-30,40])
arr2 = np.array([2,-3,4])

print(np.positive(arr1))
print(np.positive(arr2))

The example below outputs the element-wise numerical positive of arrays `arr3` and `arr4`:

import numpy as np

arr3 = np.array([[2.5,100,-10], [-2.9,90,89]])
arr4 = np.array([[-2,-3,-4], [30,40,50]])

print(np.positive(arr3))
print(np.positive(arr4))

What is numpy.positive() in Python?

Computes the numerical positive of input elements, returning an array or scalar based on input type.

Parameter	Description
out	Represents the location into which the output of the method is stored. If not provided or None, a freshly-allocated array is returned.
where	True value indicates that a universal function should be calculated at this position.
casting	Controls the type of datacasting that should occur. The same_kind option indicates that safe casting or casting within the same kind should take place.
order	Controls the memory layout order of the output function. The option K means reading the elements in the order they occur in memory.
dtype	Represents the desired data type of the array.
subok	Decides if subclasses should be made or not. If True, subclasses will be passed through.