What is the numpy.real_if_close() function in NumPy?
Overview
The real_if_close() function in NumPy is used to return real parts of an input array of complex values with all imaginary parts close to zero.
Syntax
np.real_if_close(a, tol=100)
Syntax of real_if_close() function
Parameters
The real_if_close() function takes the following parameter values:
a: This represents the input array. This is a required parameter.tol: This represents the tolerance in machine epsilons for the complex part of the input array elements. This is a required parameter.
Note: Machine epsilons represent the smallest positive float value greater than zero.
Return value
The real_if_close() function returns a float if the input array has complex elements. If the input array is real, its data type is the same for the output.
Example
import numpy as np# creating an input arrayx = np.array([10.4 + 10e-14j, 15.5 + 15e-15j])# defining the real_if_close() functionmyarray = np.real_if_close(x, tol=1000)print(myarray)
Explanation
- Line 1: We import the
numpymodule. - Line 4: We create an input array,
x, using thearray()function. - Line 7: We define the
real_if_close()function on the input array,x. We assign the result to a variablemyarray. - Line 9: We print the variable
myarray.
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