How can I find the indices of an array with float values in python?

[Rob Gaddi]

On 1/10/19 9:25 AM, Peter Otten wrote:
> Madhavan Bomidi wrote:
> 
>> I have an array (numpy.ndarray) with shape (1500L,) as below:
>>
>> x = array([  3.00000000e+01,   6.00000000e+01,   9.00000000e+01, ...,
>>           4.49400000e+04,   4.49700000e+04,   4.50000000e+04])
>>
>> Now, I wanted to determine the indices of the x values between 0.0 and
>> 15.0. While this is simple in MATLAB or IDL by using find or where
>> functions, I was unable to find a best way to find the indices of all
>> elements between 0.0 and 15.0 in the x array. Can you please suggest me a
>> solution for the same?
> 
> Like this?
> 
>>>> a = numpy.array([-1, 10, 100, 5, 1000.])
>>>> numpy.where((a < 15) & (a > 0))[0]
> array([1, 3])
> 

I was going to suggest numpy.nonzero, which gives the same result as the 
simple case of numpy.where as above.  In either case, the result is a 
tuple of indices per axis.

 >>> a = [[2, 7, 6], [9, 5, 1], [4, 3, 8]]
 >>> a = np.array([[2, 7, 6], [9, 5, 1], [4, 3, 8]])
 >>> b = np.array([1, 5, 2, 6, 3, 7, 4, 8, 5, 9])
 >>> (a > 5).nonzero()
(array([0, 0, 1, 2]), array([1, 2, 0, 2]))
 >>> np.nonzero(b % 2)
(array([0, 1, 4, 5, 8, 9]),)

-- 
Rob Gaddi, Highland Technology -- www.highlandtechnology.com
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