kame - 1 year ago 242

Python Question

When I print a numpy array, I get a truncated representation, but I want the full array.

Is there any way to do this?

**Examples:**

`>>> numpy.arange(10000)`

array([ 0, 1, 2, ..., 9997, 9998, 9999])

>>> numpy.arange(10000).reshape(250,40)

array([[ 0, 1, 2, ..., 37, 38, 39],

[ 40, 41, 42, ..., 77, 78, 79],

[ 80, 81, 82, ..., 117, 118, 119],

...,

[9880, 9881, 9882, ..., 9917, 9918, 9919],

[9920, 9921, 9922, ..., 9957, 9958, 9959],

[9960, 9961, 9962, ..., 9997, 9998, 9999]])

Answer Source

```
import numpy as np
np.set_printoptions(threshold=np.inf)
```

I suggest using `np.inf`

instead of `np.nan`

which is suggested by others. They both work for your purpose, but by setting the threshold to "infinity" it is obvious to everybody reading your code what you mean. Having a threshold of "not a number" seems a little vague to me.