arrays - Python function which will call a 1D vector values -

i have next sequence of numbers of array( array 1d )

1. -1.7654142212e-06
2. 7.0737426918e-07
3. 1.63230254789e-06
4. 1.88255344022e-06
5. 5.00966829007e-06
6. 1.88631278169e-06
7. -4.08751917695e-06
8. 9.12971786351e-07
9. 5.33615185204e-06
10. -1.01338496378e-05

are 100 values, 10.

i need function call these numbers.

edit

using x, x= np.linspace(0,1000,10)

i used scipy.interpolate.interp1d , not working good...

edit

the interpolation take first , last value, , aproximation. in case values small, , accuracy important. also, values changing on each x step, enough cause error after few iterations.

so if our array

a = ((-1.7654142212e-06 , ....,-1.01338496378e-05 ))`

i need function work that:

edit

e.a. a_function(0) = -1.7654142212e-06 ....

to call value want, without call approximation of value, (for specific #number of x) inside function on main or second script.

why don't create function takes 2 inputs: array, , number

in [15]: out[15]:  array([-4611686018427387904, -4611686018427387904,                    7,                           0, -4611686018427387904,  5764616295532855496,        -4611686018427387899, -4611686018427387904,                    4,            1407374883553280])  in [16]: def grab_item(array,number):    ....:     return array[number]    ....:   in [17]: grab_item(a,8) out[17]: 4 

after multitude of comments, here example of believe want through using function:

in [24]: x = np.linspace(0,1000,100)  in [25]: grab_item(x,9) out[25]: 90.909090909090907