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# Printing large NumPy arrays without truncation

*schedule*Aug 11, 2023

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Suppose we have a large Numpy array like follows:

```
np.arange(5000)
array([ 0, 1, 2, ..., 4997, 4998, 4999])
```

As we can see, Numpy truncates large arrays when printing by default.

# Using the set_printoptions method

In order to print the array in its entirety, we must configure Numpy like follows:

```
import sysnp.set_printoptions(threshold=sys.maxsize)
```

Now, when we print our large array again, we will see all its numbers:

```
np.arange(5000)
** You'll see all the numbers printed here **
```

# Using the printoptions method

For those who are using NumPy 1.15 or above, you could also use the `printoptions(~)`

method like follows:

```
with np.printoptions(threshold=np.inf): print(np.arange(5000))
** You'll see all the numbers printed here **
```

Published by Isshin Inada

Edited by 0 others

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