Hi -
I am writing a script that will generate many figures.
Currently this script lives in matlab and outputs these figures to a single .ps
file:
if( first )
print( nfig, '-dpsc2', '-r300', '-loose', filename );
else
print( nfig, '-dpsc2', '-r300', '-loose', '-append', filename );
end
Petr Danecek <[EMAIL PROTECTED]> writes:
> On Fri, 2007-08-24 at 20:03, Jouni K. Seppänen wrote:
>
>> savefig('foo10.ps', dpi=10)
>> savefig('foo100.ps', dpi=100)
>
> In fact, the dpi option does change the resulting PS file, but the
> quality is still very poor - see the example
> http://ww
"Alexander Dietz" <[EMAIL PROTECTED]> writes:
> Although the scatter command is called later, any point drawn with the "
> scatter"-command lies behind the black crosses drawn by the "plot" command.
> Any ideas how to get the order right?
Set the zorder property. Try e.g.:
clf()
l=plot(rand(50),
Hi,
I have problems with plotting in matplotlib. I want to plot something and
then overlay this plot with a scatter plot, so like this:
clf()
plot( sx, sy, 'kx')
hold(True)
scatter( ix, iy, 40, c=iz, faceted=False)
colorbar()
hold(False)
Although the scatter command is called later, any point dr
Wolfgang Kerzendorf wrote:
> I know this is not completely matplotlib related but perhaps you can
> help me none the less:
> I want to fit a curve to a set of data. It's a very easy curve: y=ax+b.
> But I want errors for a and b and not only the rms. Is that possible.
> What tasks do you recommen
On 8/30/07, Wolfgang Kerzendorf <[EMAIL PROTECTED]> wrote:
> I know this is not completely matplotlib related but perhaps you can
> help me none the less:
> I want to fit a curve to a set of data. It's a very easy curve: y=ax+b.
> But I want errors for a and b and not only the rms. Is that possible
I know this is not completely matplotlib related but perhaps you can
help me none the less:
I want to fit a curve to a set of data. It's a very easy curve: y=ax+b.
But I want errors for a and b and not only the rms. Is that possible.
What tasks do you recommend for doing that.
Thanks in advance
