[Matplotlib-users] turn off tick reflection

2010-03-10 Thread Matthew MacLeod
Dear matplotlib users,

I'm trying to make a plot that shares the x axis, but that have two 
different y scales. I can do this, almost, I say almost because I don't 
know how to turn off the reflection of my y ticks, so they are reflected 
and obscure the scale on the other side, if the scales aren't similar.

I looked at the example
http://matplotlib.sourceforge.net/plot_directive/mpl_examples/api/two_scales.py

and it hints at a solution (Hint: use the xaxis instance and call 
tick_bottom and tick_top in place of tick_left and tick_right.), but this 
doesn't make any sense to me. I think I need to

Turn the axes rectangular frame off on the 2nd axes to keep it from 
obscuring the first.

but I'm not sure if this is what I need to do, if it is, I'm also not sure 
how to do this.


Thanks for any ideas,
Matthew


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[Matplotlib-users] how to increase tick thickness

2010-03-01 Thread Matthew MacLeod
Dear matplolib users,


I am wondering if anyone knows how to increase the tick thickness, that is 
the tick linewidth? Mine are too thin.

Thanks Goekhan and JJ for the help previously on how to increase the tick 
size, to fix the

xtick.major.size

in the matplotlib rc. That did make my ticks longer, but I still don't 
know how to make them 'fatter'.


Thanks,
Matthew

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[Matplotlib-users] How to increase axis and tick linesize?

2010-02-24 Thread Matthew MacLeod
Dear matplotlib users,

I have a problem with my plots, it is that the plot 
axes and the tick marks are too small, is there a way to increase the 
'lineweight' and size of these basic features?
I am not asking about axis label text size and that of the 
information inside the plot, but rather the basic skeleton of the plot. I 
suppose I can make thicker ticks by hand w/ the xvline and xhline modules, 
but I'd rather not do it this way.
Also I often find that the xlabel is too close to the plot box 
(xaxis) is there a way to increase this distance besides making my own 
labels via text.

Thanks,
Matthew

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