# how to extract value from a numpy.ndarray

## Question:

I’m using Scipy.Optimize.fmin to find the maximum of a function. The output is in the form of a numpy.ndarray with additional information on the process. I need just the x value returned as a float.

```
def f(x):
"""returns the value of f(x) with the input value x"""
import math
f = math.exp(-x ** 2.0) / (1.0 + x ** 2.0) +
2.0 * (math.cos(x) ** 2.0) / (1.0 + (x - 4.0) ** 2.0)
return f
def find_max_f():
"""returns the x for which f(x) takes the maximum value"""
import scipy.optimize as o
m = o.fmin(lambda x: -f(x), 0)
return m
```

This is what it returns:

```
>>> find_max_f()
Optimization terminated successfully.
Current function value: -1.118012
Iterations: 12
Function evaluations: 24
array([ 0.0131875])
```

I just need the final number inside the brackets labeled array

## Answers:

Simply bind the result to something and then you can index the first element as if it were a list or tuple:

```
>>> xopt = find_max_f()
Optimization terminated successfully.
Current function value: -1.118012
Iterations: 12
Function evaluations: 24
>>> xopt
array([ 0.0131875])
>>> xopt[0]
0.013187500000000005
>>> type(xopt[0])
<type 'numpy.float64'>
```

I recommend reading the NumPy Tutorial, in particular the section on "Indexing, Slicing and Iterating".