Unexpected result in the numerical calculation - (invalid value encountered)

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The discussion revolves around a Python code snippet using NumPy to compute a value for x and subsequently raise it to a fractional power. The initial calculation of x results in a negative value, which leads to a RuntimeWarning when attempting to compute Q, as NumPy's power operator cannot handle fractional powers of negative numbers. When x is manually set to the same negative value, the calculation succeeds, returning a complex number. The solution to the issue is to convert x to a Python float before performing the power operation, allowing for the correct computation without encountering errors. This highlights the difference between NumPy's handling of operations and standard Python behavior.
Arman777
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Code:
   from numpy import log as ln
    z = 3
    k = 2

    x = 1 - ln(1 + z) / ln(1 + k)
    y = 1/5
    print("The x=", x)

    Q = x**y

    print(Q)

The result is

Code:
The x= -0.26185950714291484
    c:\Users\-\Desktop\... RuntimeWarning: invalid value
    encountered in double_scalars
      Q = x**y
    nan

I am having troubling to understand the problem here. It's clear that I can print the x, but I cannot take the power of it.Meanwhile when I write a code like

Code:
 x = -0.26185950714291484
    y = 1/5
    print("The x=", x)
    Q = x**y

    print(Q)

I get

Code:
The x= -0.26185950714291484
    (0.6188299348758349+0.44960626529008196j)

I am literally shocked. I cannot understand what is going on. If I just put the numbers manually I can calculate the result. But if I do them computationally I get an error ?
 
Technology news on Phys.org
When you set x to a numpy result it uses numpy's overload of the ** operator which can't handle fractional powers of negative numbers. You need to convert x to a Python float: Q = float(x) ** y
 
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