[Fwd: Re: [matplotlib-devel] contour/contourf and masked arrays]

Here is the message I sent including the patch; I would not

    > expect it to have been committed yet, and even if it had
    > been, John always warns that there can be substantial delays
    > in updating cvs mirrors. Note that the patch is against the
    > version of cntr.c available via cvs this morning.

I just committed it. Sourceforge is promising to fix this lag but we
shall see.

Checking in src/cntr.c;
/cvsroot/matplotlib/matplotlib/src/cntr.c,v <-- cntr.c
new revision: 1.3;

Thanks,
JDH

OK, I've just tried it and the "wrong color for highest values" problem seems
to be gone here : many thanks to both of you !

Nicolas

···

On Friday 03 June 2005 00:01, John Hunter wrote:

    > Here is the message I sent including the patch; I would not
    > expect it to have been committed yet, and even if it had
    > been, John always warns that there can be substantial delays
    > in updating cvs mirrors. Note that the patch is against the
    > version of cntr.c available via cvs this morning.

I just committed it. Sourceforge is promising to fix this lag but we
shall see.

Err... the remaining problem that came with my cvs update is a
ZeroDivisionError when an axis is drawn (I guess so):

···

On Friday 03 June 2005 00:01, John Hunter wrote:

    > Here is the message I sent including the patch; I would not
    > expect it to have been committed yet, and even if it had
    > been, John always warns that there can be substantial delays
    > in updating cvs mirrors. Note that the patch is against the
    > version of cntr.c available via cvs this morning.

I just committed it. Sourceforge is promising to fix this lag but we
shall see.

-----
/usr/lib/python2.4/site-packages/Numeric/MLab.py
in mean(m=array('...', []), axis=0)
    152 return minimum.reduce(m,axis)
    153
    154 # Actually from Basis, but it fits in so naturally here...
    155
    156 def ptp(m,axis=0):
    157 """ptp(m,axis=0) returns the maximum - minimum along the the
               given dimension
    158 """
    159 m = asarray(m)
    160 return max(m,axis)-min(m,axis)
    161
    162 def mean(m,axis=0):
    163 """mean(m,axis=0) returns the mean of m along the given dimension.
    164 If m is of integer type, returns a floating point answer.
    165 """
    166 m = asarray(m)
--> 167 return add.reduce(m,axis)/float(m.shape[axis])
        global add.reduce = <built-in method reduce of ufunc object at
0xb6e124a0>
        m = zeros((0,), 'l')
        axis = 0
        global float = undefined
        m.shape = (0,)

ZeroDivisionError: float division
-----

Any idea ?

To be more precise, the problem only shows up when using the colorbar
function, with either vertical or horizontal orientation...

···

On Friday 03 June 2005 00:21, Nicolas Girard wrote:

Err... the remaining problem that came with my cvs update is a
ZeroDivisionError when an axis is drawn (I guess so):