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.]