I'm trying to use the np.ceil function on a structrued numpy array, but all I get is the error message:

```
TypeError: ufunc 'ceil' not supported for the input types, and the inputs could not be safely coerced to any supported types according to the casting rule ''safe''
```

Here's a simply example of what that array would look like:

```
arr = np.array([(1.4,2.3), (3.2,4.1)], dtype=[("x", "<f8"), ("y", "<f8")])
```

When I try

```
np.ceil(arr)
```

I get the above mentioned error. When I just use one column, it works:

```
In [77]: np.ceil(arr["x"])
Out[77]: array([ 2., 4.])
```

But I need to get the entire array. Is there any way other than going column by column, or not using structured arrays all together?

Here's a dirty solution based on viewing the array without its structure, taking the ceiling, and then converting it back to a structured array.

and here it is as an unreadable one-liner but without assigning the intermediate copy

`arr1`

I don't claim this is a great solution, but it should help you move on with your project until something better is proposed