# Compute the square root of negative input with emath in Python

• Last Updated : 01 May, 2022

In this article, we will cover how to compute the square root of negative inputs with emath in Python using NumPy.

#### Example:

```Input: [-3,-4]
Output: [0.+1.73205081j 0.+2.j        ]
Explanation: Square root of a negative input.```

## NumPy.emath.sqrt method:

The np.emath.sqrt() method from the NumPy library calculates the square root of complex inputs. A complex value is returned for negative input elements unlike numpy.sqrt. which returns NaN.

Syntax: np.emath.sqrt()

Parameters:

• x: array like object.

Return: out: scalar or ndarray.

### Example 1:

If the array contains negative input values, complex numbers are returned in the output, and the shape, datatype, and dimensions of the array can be found by .shape, .dtype, and .ndim attributes.

## Python3

 `import` `numpy as np ` ` `  `# Creating an array ` `arr ``=` `np.array([``-``3``, ``-``4``]) ` `print``(array) ` ` `  `# shape of the array is ` `print``(``"Shape of the array is : "``,arr.shape) ` ` `  `# dimension of the array ` `print``(``"The dimension of the array is : "``,arr.ndim) ` ` `  `# Datatype of the array ` `print``(``"Datatype of our Array is : "``,arr.dtype) ` ` `  `# computing the square root of negative inputs ` `print``(np.emath.sqrt(arr))`

Output:

```[-3 -4]
Shape of the array is :  (2,)
The dimension of the array is :  1
Datatype of our Array is :  int64
[0.+1.73205081j 0.+2.j        ]```

## Python3

 `import` `numpy as np ` ` `  `# Creating an array ` `array ``=` `np.arr([``complex``(``-``2``, ``-``1``),``complex``(``-``5``, ``-``3``)]) ` `print``(array) ` ` `  `# shape of the array is ` `print``(``"Shape of the array is : "``,arr.shape) ` ` `  `# dimension of the array ` `print``(``"The dimension of the array is : "``,arr.ndim) ` ` `  `# Datatype of the array ` `print``(``"Datatype of our Array is : "``,arr.dtype) ` ` `  `# computing the square root of complex inputs ` `print``(np.emath.sqrt(arr))`

Output:

```[-2.-1.j -5.-3.j]
Shape of the array is :  (2,)
The dimension of the array is :  1
Datatype of our Array is :  complex128
[0.34356075-1.45534669j 0.64457424-2.32711752j]```

My Personal Notes arrow_drop_up
Recommended Articles
Page :