# Compute the square root of input with emath in Python

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To compute the square root of input, use the scimath.sqrt() method in Python Numpy. The method returns the square root of x. If x was a scalar, so is out, otherwise an array is returned. The parameter x is the input value. For negative input elements, a complex value is returned

## Steps

At first, import the required libraries −

import numpy as np

Creating a numpy array using the array() method −

arr = np.array([1, 4, 9, 16, 25, 36])


Display the array −

print("Our Array...\n",arr)

Check the Dimensions −

print("\nDimensions of our Array...\n",arr.ndim)


Get the Datatype −

print("\nDatatype of our Array object...\n",arr.dtype)

Get the Shape −

print("\nShape of our Array object...\n",arr.shape)


To compute the square root of input, use the scimath.sqrt() method in Python Numpy. The method returns the square root of x. If x was a scalar, so is out, otherwise an array is returned −

print("\nResult...\n",np.emath.sqrt(arr))

## Example

import numpy as np

# Creating a numpy array using the array() method
arr = np.array([1, 4, 9, 16, 25, 36])

# Display the array
print("Our Array...\n",arr)

# Check the Dimensions
print("\nDimensions of our Array...\n",arr.ndim)

# Get the Datatype
print("\nDatatype of our Array object...\n",arr.dtype)

# Get the Shape
print("\nShape of our Array object...\n",arr.shape)

# To compute the square root of input, use the scimath.sqrt() method in Python Numpy
# The method returns the square root of x. If x was a scalar, so is out, otherwise an array is returned.
print("\nResult...\n",np.emath.sqrt(arr))

## Output

Our Array...
[ 1 4 9 16 25 36]

Dimensions of our Array...
1

Datatype of our Array object...
int64

Shape of our Array object...
(6,)

Result...
[1. 2. 3. 4. 5. 6.]