Runtimewarning invalid value encountered in sqrt

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This is not 100% Python related. You can't calculate the square root of a negative number (when dealing with real numbers that is). You didn't take any precautions for when b**2 - (4*a*c) is a negative number. >>> import numpy as np >>> >>> np.sqrt(4) 2.0 >>> np.sqrt(-4) __main__:1: RuntimeWarning: invalid value encountered in sqrt nan.

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python RuntimeWarning: overflow encountered in long_scalars. index.py:14: RuntimeWarning: invalid value encountered in true_divide return np.dot (user, user2) / (norm (user) * norm (user2)) SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame.

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However, it keeps on giving me a warning RuntimeWarning: invalid value encountered in sqrt Here's my code: import numpy as. the square root function, by definition, gives the positive (also called principle) root of the number it's square rooting. the negative square root is part of a more general set of solutions to the equation a^n = b.Runtimewarning Invalid Value Encountered In.

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Runtimewarning invalid value encountered in sqrt NOTE: If there is a negative number in the numpy array and it is passed to the built-in np.sqrt() function then it will throw a RuntimeWarning saying that an invalid value is encountered in sqrt. And set a nan value at the place of the square root of the negative element in the returned numpy array.

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