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Numpy float is Python s float class Do you mean numpy float with an underscore at the end That is the same as

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In conclusion Numpy s float64 and Python s float are both useful data types for representing floating point numbers

https://runebook.dev › en › docs › numpy › reference › arrays.scalars
To avoid these headaches the best approach is to convert the NumPy scalar back to a standard Python float when

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Both numpy float64 and Python s built in float represent floating point numbers but there are differences in their behavior precision

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The display differences between Python float and NumPy float64 reflect the balance between numerical

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That means that float64 s take up twice as much memory and doing operations on them may be a lot slower in some machine

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Las diferencias de visualizaci n entre float de Python y float64 de NumPy reflejan el equilibrio entre la representaci n

https://numpy.org › doc › stable › user › basics.types.html
Python s floating point numbers are usually 64 bit floating point numbers nearly equivalent to numpy float64 In some unusual

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Thus when you do isinstance 2 0 np float it is equivalent to isinstance 2 0 float as 2 0 is a plain python built in float type and