Ryan May wrote:
Pierre,
I know you did some preliminary work on helping to make sure that doing
operations on masked arrays doesn't change the underlying data. I ran into
the
following today.
import numpy as np
a = np.ma.array([1,2,3], mask=[False, True, False])
b = a * 10
c = 10 *
On Feb 3, 2009, at 4:00 PM, Ryan May wrote:
Well, I guess I hit send too soon. Here's one easy solution
(consistent with
what you did for __radd__), change the code for __rmul__ to do:
return multiply(self, other)
instead of:
return multiply(other, self)
That fixes it
Pierre,
I know you did some preliminary work on helping to make sure that doing
operations on masked arrays doesn't change the underlying data. I ran into the
following today.
import numpy as np
a = np.ma.array([1,2,3], mask=[False, True, False])
b = a * 10
c = 10 * a
print b.data # Prints [10
Pierre GM wrote:
On Feb 3, 2009, at 4:00 PM, Ryan May wrote:
Well, I guess I hit send too soon. Here's one easy solution
(consistent with
what you did for __radd__), change the code for __rmul__ to do:
return multiply(self, other)
instead of:
return multiply(other, self)
