How to Fix numpy.float64 Object Is Not Iterable Error in Python

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Understanding the Problem

Consider you have a NumPy array (let's call it memb_e), and you want to find the indices of its values. Your initial approach might look something like this:

[[See Video to Reveal this Text or Code Snippet]]

Here, the first loop works fine and returns the expected indices, but the second loop throws the error mentioned above. Let's break down why this happens.

Why The Error Occurs

In the second loop, the error arises because the iteration variable memb_e is the same as the iterable object itself. When you do:

[[See Video to Reveal this Text or Code Snippet]]

The Solution: Rename the Iteration Variable

To fix this error, you need to use a different identifier for your iteration variable that doesn’t conflict with the iterable object. Here’s how you can implement this solution:

Revised Code

[[See Video to Reveal this Text or Code Snippet]]

Key Changes Made

Renaming the Iteration Variable: In both loops, we replaced memb_e with m_e. This prevents name conflicts and allows you to retain access to the original array.

Conclusion

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