# filtering lines in a numpy array according to values in a range

## filtering lines in a numpy array according to values in a range

```
>>> a[ (-6<a[:,1]) & (a[:,1]<3) ]
array([[ 1, 2],
[ 3, -5]])
```

The `np.ma.masked_inside(a, -6, 3)`

will create a `MaskedArray`

object, where the values between -6 and 3 are masked (that is, flagged as invalid). In other terms, youre filtering **out** the values between -6 and 3.

Instead, you should use `np.ma.masked_outside(a, -6, 3)`

:

```
>>> a = np.array([[1,2],[3,-5],[6,-15],[10,2]])
>>> np.ma.masked_outside(a,-6,3)
>>> masked_array(data =
[[1 2]
[3 -5]
[-- --]
[-- 2]],
mask =
[[False False]
[False False]
[ True True]
[ True False]],
fill_value = 999999)
```

Note that with this function, you are filtering out the whole array, element by element, which is not what you want.

The indexing approach given in another solution is by far the most straightforward and understandable.