On Tue, 11 Feb 2014 22:16:46 +0100
Daπid wrote:
> Here it is an example:
>
> import numpy as np
> import pylab as plt
>
> N = 100
> M = 200
> x, y = np.meshgrid(np.arange(N), np.arange(M))
>
> # Center at 40, 70, radius 20
> x -= 40
> y -= 70
> out_circle = (x * x + y * y < 20**2)
Neat.
> No
Hi,
I implemented the following helper function to create masking arrays:
def gen_mask(self, ring, sector):
in_segment = None
if ring == 0:
radius = self.scales()[0]
def in_center_circle(xy):
dx = xy[0] - self.xy[0]
Hi,
first my apologies for crossposting this to two maillists, but as both
projects are affected I think this is in order.
Like the subject says I encountered some undesired behavior in the
interaction of SciPy with NumPy.
Using the "old" SciPy version 0.9.0 everything works fine and smooth.
But
