[SciPy-User] [scipy-user] How to apply a condition on some specific values of an array
Mon Feb 6 05:31:25 CST 2012
Sorry Scott, I managed to append values. I was using it like
classical-list append function!
2012/2/6 Fabien Lafont <email@example.com>:
> 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!
> 2012/2/6 Scott Sinclair <firstname.lastname@example.org>:
>> On 6 February 2012 11:41, Fabien Lafont <email@example.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
>> 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 : arr = np.array([100, 250, 501, 700])
>> In : # make a copy to avoid aliasing
>> ...: new_arr = np.array(arr)
>> In : new_arr[arr < 500] *= 100
>> In : new_arr[arr > 500] *= 1000
>> In : arr
>> Out: array([100, 250, 501, 700])
>> In : new_arr
>> Out: array([ 10000, 25000, 501000, 700000])
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