real_if_close(a, tol=100)
"Close to zero" is defined as :None:None:`tol` * (machine epsilon of the type for a).
Machine epsilon varies from machine to machine and between data types but Python floats on most platforms have a machine epsilon equal to 2.2204460492503131e-16. You can use 'np.finfo(float).eps' to print out the machine epsilon for floats.
Input array.
Tolerance in machine epsilons for the complex part of the elements in the array.
If a is real, the type of a is used for the output. If a has complex elements, the returned type is float.
If input is complex with all imaginary parts close to zero, return real parts.
>>> np.finfo(float).eps 2.2204460492503131e-16 # may vary
>>> np.real_if_close([2.1 + 4e-14j, 5.2 + 3e-15j], tol=1000) array([2.1, 5.2])
>>> np.real_if_close([2.1 + 4e-13j, 5.2 + 3e-15j], tol=1000) array([2.1+4.e-13j, 5.2 + 3e-15j])See :
The following pages refer to to this document either explicitly or contain code examples using this.
numpy.real
numpy.imag
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