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Return the non-negative square-root of an array element-wise in Numpy
To return the non-negative square-root of an array, element-wise, use the numpy.sqrt() method in Python Numpy.
An array of the same shape as x, containing the positive square-root of each element in x. If any element in x is complex, a complex array is returned (and the square-roots of negative reals are calculated). If all of the elements in x are real, so is y, with negative elements returning nan. If out was provided, y is a reference to it. This is a scalar if x is a scalar.
The out is 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. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
Steps
At first, import the required library −
import numpy as np
Create an array using the array() method −
arr = np.array([4, 9, 10000, 100, 841, 225])
Display the array −
print("Array...
", arr)Get the type of the array −
print("
Our Array type...
", arr.dtype)
Get the dimensions of the Array −
print("
Our Array Dimension...
",arr.ndim)Get the shape of the Array −
print("
Our Array Shape...
",arr.shape)
To return the non-negative square-root of an array, element-wise, use the numpy.sqrt() method −
print("
Result...
",np.sqrt(arr))Example
import numpy as np
# Create an array using the array() method
arr = np.array([4, 9, 10000, 100, 841, 225])
# Display the array
print("Array...
", arr)
# Get the type of the array
print("
Our Array type...
", arr.dtype)
# Get the dimensions of the Array
print("
Our Array Dimension...
",arr.ndim)
# Get the shape of the Array
print("
Our Array Shape...
",arr.shape)
# To return the non-negative square-root of an array, element-wise, use the numpy.sqrt() method in Python Numpy
print("
Result...
",np.sqrt(arr))Output
Array... [ 4 9 10000 100 841 225] Our Array type... int64 Our Array Dimension... 1 Our Array Shape... (6,) Result... [ 2. 3. 100. 10. 29. 15.]
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