Web Reference: Jul 23, 2025 · In this article, we are going to see how to fix: ‘numpy.float64’ object cannot be interpreted as an integer. When a function or operation is applied to an object of the wrong type, a type error is raised. It is caused by unsupported float index in 1.12.0 and newer numpy versions even if the code should be considered as valid. An int type is expected, not a np.float64 This error occurs when you pass a floating-point number to a function that strictly requires an integer, such as range(), list indexing, or numpy.zeros(). In this guide, we'll explain why this happens, show the common scenarios that trigger it, and walk through multiple ways to fix it.
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