Greg Novak wrote:
> Much of the data that I would like to plot lives on machines other
> than my desktop. I'd like to log in to the remote machine, start
> Python, and then let Matplotlib pop up an Xwindow on my desktop
> machine. The problem I'm running into is that this is quite painfully
> slo
Mike,
Thank you for your suggestion.
I found that pan mode doesn't work as expected in page of notebook.
The sample code is attached.
Thanks for your further guidance in advance.
On Nov 8, 2007 9:27 PM, Michael Droettboom <[EMAIL PROTECTED]> wrote:
> All I can suggest is that you compare this scr
Much of the data that I would like to plot lives on machines other
than my desktop. I'd like to log in to the remote machine, start
Python, and then let Matplotlib pop up an Xwindow on my desktop
machine. The problem I'm running into is that this is quite painfully
slow. Even over a 100 Mbit lin
A new mpl release is coming soon. One of the changes is that there is a
new matplotlib.pyplot module that has only the plotting parts of the
pylab interface. The pylab module still imports from oldnumeric, so it
still has the old Numeric-style upper case types (Float64 instead of
float64, etc
On Nov 8, 2007 7:10 AM, James Jackson <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I have written a module which implements a custom histogram class,
> with the plotting handled by a call to ax.plot(x, y, ...). The x and
> y values are massaged to create a conventional histogram binned look,
> for example:
sunzen w. wrote:
> I try to rebuild a small sample code, which is attached. Amazingly,
> the pan mode is normal for this sample code. However, the problem
> existing in my application code is still not yet identified.
>
> What's the possible reasons? What kind of further information i should
> p
Hi,
I have written a module which implements a custom histogram class,
with the plotting handled by a call to ax.plot(x, y, ...). The x and
y values are massaged to create a conventional histogram binned look,
for example:
http://www.onlineclienttest.co.uk/invmass-hor-py.png
What I would l
John,
Thank you for your response.
On Nov 7, 2007 10:13 PM, John Hunter <[EMAIL PROTECTED]> wrote:
> On Nov 7, 2007 7:17 AM, Michael Droettboom <[EMAIL PROTECTED]> wrote:
>
> Michael> I'm not sure what you mean by "can't work on my canvas". Can you
> Michael> provide a small code sample that show
Hello,
I'm struggling with compiling matplotlib0.90.1 on Solaris5.9.
Although I set environ variables CC=gcc, installer arbitrarily put the
special options such as -xO2 -xtarget=ultra -xarch=v8 that gcc can not
handle. How can I suppress those machine dependent options?
It is probably not becaus