Hi All,
I'm trying to plot tick labels on the inside (ie data side) of a typical
x-y plot. My setup is Python 2.5.1, matplotlib 0.90.0 on WinXP.
I've been able to accomplish this by adjusting the padding of the
individual ticks, but it doesn't quite accomplish what I want.
For example, imagine
On Thursday 12 July 2007 6:44:53 pm Rodrigo López Negrete de la Fuente wrote:
> Hi group,
>
> I'm trying to plot certain data sets with different markers and line
> styles, and to add legends to distinguish between them. I'm using
> matplotlib through pylab.
>
> My concern is that the added legend
Hi group,
I'm trying to plot certain data sets with different markers and line styles,
and to add legends to distinguish between them. I'm using matplotlib through
pylab.
My concern is that the added legend uses 4 markers and the line style is
barely visible. Is there any way to make it use only
Johann Rohwer wrote:
> On Thursday, 12 July 2007, Mark Bakker wrote:
>> Hello, I never noticed the 'annotate' option in pylab.
>> I have been trying unsuccesfully to get it to work.
>> I am working in interactive mode and get the following error.
>> Thanks for any help, Mark
>>
> plot([1,2,3])
On Thursday, 12 July 2007, Mark Bakker wrote:
> Hello, I never noticed the 'annotate' option in pylab.
> I have been trying unsuccesfully to get it to work.
> I am working in interactive mode and get the following error.
> Thanks for any help, Mark
>
> >>> plot([1,2,3])
> >>>
> >>> annotate( 'Mark'
Hello, I never noticed the 'annotate' option in pylab.
I have been trying unsuccesfully to get it to work.
I am working in interactive mode and get the following error.
Thanks for any help, Mark
plot([1,2,3])
annotate( 'Mark', (1,2), (1,2.5) )
Traceback (most recent call last):
File "", li
James Boyle wrote:
> As a coincidence, just today I was trying to figure out how to
> increase the spacing between the lines in the title of my plot.
> I too, would like some means to control this.
You've got it now in svn. Be aware that mpl now requires numpy. That
doesn't mean you can't use
