Mike C. - 10 months ago 80

Python Question

I am attempting to smooth a curve using spline in the Scipy module. I am using Python 2.7 on a 64 bit Windows 10 machine. I am pretty sure I have the code written correctly but I get a numpy array full of zeros for my y axis. Here's the code:

`#Smooth Chart Curves`

def interp(self, x, y):

xx = np.array(x)

yy = np.array(y)

xnew = np.linspace(xx.min(), xx.max(), 300)

ynew = spline(xx, yy, xnew)

xnew = np.array(xnew).tolist()

ynew = np.array(ynew).tolist()

return xnew, ynew

I begin by passing a list of six numbers to both x and y variables. The

`xnew`

`ynew = spline(xx, yy, xnew)`

I am passing the following as x and y:

`x = [2800.0, 2002.0, 1234.0, 800.0, 450.0, 0]`

y = [5.0, 9.1, 15.3, 20.9, 25.4, 27.2]

Answer Source

Your x axis needs to be monotonically increasing for interpolation to work. Maybe it is a typo, but `y`

looks much more like the x axis to me.

If it really isn't:

```
xx = np.array(x)
sx = np.argsort(xx)
xx = xx[sx]
yy = np.array(y)
yy = yy[sx]
```

will sort both `x`

and `y`

so that `x`

is sorted in ascending order.