[SciPy-User] [scipy-user] How to apply a condition on some specific values of an array

Fabien Lafont lafont.fabien@gmail....
Mon Feb 6 04:27:20 CST 2012


Great, it seems really easy!

Is it possible to append the values to new_arr because I have to do it
with many "arr" so new_arr will be erase each time if I do:

new_arr[arr < 500] *= 100
new_arr[arr2 < 500] *= 100
new_arr[arr3 < 500] *= 100

I've tried np.append but it doesn't work...

Nevertheless thanks again!

Fab

2012/2/6 Scott Sinclair <scott.sinclair.za@gmail.com>:
> On 6 February 2012 11:41, Fabien Lafont <lafont.fabien@gmail.com> wrote:
>> And is it possible to apply a specific operation with a condition
>> (if). I have to apply different operations on the same array depending
>> on the value of the array element.
>>
>> For example: I have an array like that:
>>
>> [100  250  501  700] and I want to multiply by 100 the value if this
>> value is smalest thant 500 and multiply by 1000 if the value is
>> bigest.
>
> Here's one way that should be easy to follow. You'll have to make a
> copy of your array (as shown here), or generate two index arrays
> before modifying your original array.
>
> In [1]: arr = np.array([100, 250, 501, 700])
>
> In [2]: # make a copy to avoid aliasing
>   ...: new_arr = np.array(arr)
>
> In [3]: new_arr[arr < 500] *= 100
>
> In [4]: new_arr[arr > 500] *= 1000
>
> In [5]: arr
> Out[5]: array([100, 250, 501, 700])
>
> In [6]: new_arr
> Out[6]: array([ 10000,  25000, 501000, 700000])
>
> Cheers,
> Scott
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