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Wonderful! Thanx a lot ;)
2009年12月11日 <PH...@ge...>
> Reinier,
>
> This in incredible. Wow. Thanks for all of your hard work.
>
> Cheers,
> -paul
>
> > -----Original Message-----
> > From: Reinier Heeres [mailto:re...@he...]
> > Sent: Thursday, December 10, 2009 3:37 PM
> > To: Matthias Michler
> > Cc: mat...@li...
> > Subject: Re: [Matplotlib-users] mplot3d: plot_surface() and contour on
> > grid?
> >
> > Hi,
> >
> > I just committed a patch to do this in svn, also allowing for contour
> > lines along other directions.
> >
> > See the attached image for an example.
>
>
>
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On Fri, Dec 11, 2009 at 2:34 PM, Ryan Neve <rya...@gm...> wrote:
> Thank you for your help. I found the problem. It was caused by using
> pyplot.title(). It is working better now.
> I next have to figure out how to do the following within AxesGrid:
>
> 1. How to convert the x axis labels from an integer value representing
> epoch seconds to a nicely formatted date. I think this has something to do
> with matplotlib.dates.DateFormatter. I hope that this will remove the
> 1.25325e9 from the plot.
>
> 2. How to minimize or eliminate the white bands on the right and bottom
> of each axes caused by the axis scale exceeding the data values.
>
> 3. How to eliminate (or hide) the first major tic label on the y axis
> (always 0) so it doesn't overlap with the last tick from the previous y
> axis.
>
> It seems like there may be a different way to approach this than with
> subplot()
>
While there are certain differences, most of the usual matplotlib command
supposed to work. So, I recommend you to read the matplotlib documentation
first.
1. There are lots of examples in the gallery. Please take a look.
2. see the code below.
3. this kind of thing is difficult to do with axes_grid toolkit. but see
below.
First, you need to change the x-values to date (not seconds).
Then, add the code below inside your for loop.
Other than ax.axis["bottom"].. thing, these are just normal matplotlib
command.
Also, I should have mentioned it earlier, but I don't see any need of
axes_grid toolkit in your code. You'd better simply use subplot, which is
recommended if you're not familiar with matplotlib.
Regards,
-JJ
 ax = my_grid[i]
 ax.autoscale_view(tight=True) # adjust xlim and ylim
 # you can manually call ax.set_xlim and ax.set_ylim.
 ax.xaxis_date() # tick format as date and time
 ax.axis["bottom"].major_ticklabels.set_rotation(30)
 ax.axis["bottom"].major_ticklabels.set_ha("right")
 ax.axis["bottom"].major_ticklabels.set_va("top")
 # with axes_grid toolkit, it is difficult to make a certain
 # ticklabel invisible (without disabling the tick line). The
 # below line of code slightly adjust the ylim so that y=0 ticks
 # are not shown
 ax.set_ylim(ymax=-0.001)

David Arnold wrote:
> All,
> 
> In Matlab, if I want to clear my working space of variables, I type:
> 
> >> clear all
> 
> How do I do the same thing in Ipython?
I think the magic "%reset" is the closest.
Eric

All,
In Matlab, if I want to clear my working space of variables, I type:
 >> clear all
How do I do the same thing in Ipython?
D.