# How to Fix: ‘numpy.float64’ object is not iterable

One error you may encounter when using NumPy is:

```TypeError: 'numpy.float64' object is not iterable
```

This error occurs when you attempt to perform some iterative operation on a a float value in NumPy, which isn’t possible.

The following example shows how to address this error in practice.

### How to Reproduce the Error

Suppose we have the following NumPy array:

```import numpy as np

#define array of data
data = np.array([1.3, 1.5, 1.6, 1.9, 2.2, 2.5])

#display array of data
print(data)

[1.3 1.5 1.6 1.9 2.2 2.5]```

Now suppose we attempt to print the sum of every value in the array:

```#attempt to print the sum of every value
for i in data:
print(sum(i))

TypeError: 'numpy.float64' object is not iterable
```

We received an error because we attempted to perform an iterative operation (taking the sum of values) on each individual float value in the array.

### How to Fix the Error

We can avoid this error in two ways:

1. Performing a non-iterative operation on each value in the array.

For example, we could print each value in the array:

```#print every value in array
for i in data:
print(i)

1.3
1.5
1.6
1.9
2.2
2.5
```

We don’t receive an error because we didn’t attempt to perform an iterative operation on each value.

2. Perform an iterative operation on a multi-dimensional array.

We could also avoid an error by performing an iterative operation on an array that is multi-dimensional:

```#create multi-dimensional array
data2 = np.array([[1.3, 1.5], [1.6, 1.9], [2.2, 2.5]])

#print sum of each element in array
for i in data2:
print(sum(i))

2.8
3.5
4.7
```

We don’t receive an error because it made sense to use the sum() function on a multi-dimensional array.

In particular, here’s how NumPy calculated the sum values:

• 1.3 + 1.5 = 2.8
• 1.6 + 1.9 = 3.5
• 2.2 + 2.5 = 4.7