# TypeError: only size-1 arrays can be converted to Python scalars

Hello, I just only a newbie in Python, and I'm studying the array and now I want to print out all items of it to console.

```
import numpy as np
y = np.array([1, 2, 3, 4, 5, 6, 7, 8])
y = np.float(y)
print(y)
```

But when I run this code I get the error "**TypeError: only size-1 arrays can be converted to Python scalars"**

```
main.py:4: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.
Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations
y = np.float(y)
Traceback (most recent call last):
File "main.py", line 4, in <module>
y = np.float(y)
TypeError: only size-1 arrays can be converted to Python scalars
```

How can I resolve this issue?

**3**answer(s) found.

- D0
Dương Trang Quốc Aug 10 2021

You can use

**Loops**to help print out items of an arrayLoops are the most brute force methods to apply a function over a set of values. But it provides us control over all parts of the elements and can be used to customize elements if we need it.

`import numpy as np x = np.array([1, 2, 3, 4, 5, 6, 7]) y = np.array([None]*6) for i in range(6): y[i] = np.float(x[i]) print(y)`

- N0
Nitin Kumar Aug 10 2021

You can use Map() function as below:

`import numpy as np x = np.array([1, 2, 3, 4, 5, 6]) x = np.array(list(map(np.float, x))) print(x)`

- T0
Thắng Ngô Minh Aug 10 2021

You can try using

`vectorize()`

method.`import numpy as np vector = np.vectorize(np.float) x = np.array([1, 2.56, 3, 4, 5.5, 6, 7.4]) x = vector(x) print(x)`

It's worked for me!!

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