I have noticed 2 bugs having to do with NaN handling in the scatter() function.
And one other bug that seems to be in numpy.
1. The min and max for the axes are not computed properly when there are NaNs
in the data. Example:
import pylab as pl
import numpy as np
x = np.asarray([0, 1, 2, 3,
Hello all, my first post here.
I am moving from using scilab to Pylab, can anyone tell me why the two
following snippets of code produce very different results? BTW. The scilab
code produces the expected result.
Scilab:
Lx=1;
Ly=1;
n=2;
m=2;
f=100;
w=2*%pi*f;
t=1;
A=2;
Kx=n*%pi/Lx;
On Fri, Jul 25, 2008 at 10:08 AM, Ben Axelrod [EMAIL PROTECTED] wrote:
I have noticed 2 bugs having to do with NaN handling in the scatter()
I believe this is fixed in svn (0.98 branch) -- I tested your first
example and it behaved as expected. I f you have a build environment,
please test the
On Fri, Jul 25, 2008 at 10:22 AM, Peter Wesbdell
[EMAIL PROTECTED] wrote:
Hello all, my first post here.
I am moving from using scilab to Pylab, can anyone tell me why the two
following snippets of code produce very different results? BTW. The scilab
code produces the expected result.
I
All,
I am aware of the 3d examples at: http://scipy.org/Cookbook/
Matplotlib/mplot3D
However, this seems out of date, some examples work, some don't. Are
there other pointers that show how I can use matplotlib to draw three
dimensional surfaces similar to the ones drawn in Matlab with mesh,
Ben Axelrod wrote:
3. Both of the above mentioned bandaid fixes suffer from some bug (I
think in numpy). Where the min() and max() of a numpy array where the
first value is NaN, bugs out:
x = np.asarray([None, 1, 2, 3, 4, 5, 6, 7, 8, 9], float)
y = np.asarray([0, 1, 2, 3, 4, 5,
David Arnold wrote:
All,
I am aware of the 3d examples at: http://scipy.org/Cookbook/
Matplotlib/mplot3D
However, this seems out of date, some examples work, some don't. Are
there other pointers that show how I can use matplotlib to draw three
dimensional surfaces similar to the
