On Thu, Dec 3, 2009 at 3:40 PM, Ryan Neve <ryan.n...@gmail.com> wrote:
>
> I tried all sorts of things, but finally, by setting aspect=False I got it
> to work. In the documentation, the table says this defaults to True and the
> explanation of aspect below says it defaults to False. Although I don't
> entirely understand what is going on, I think this threw me off.
> So then I had this:
>
Can you be more specific about which documentation says the default aspect
is False? This may need to be fixed. Note that AxesGrid is designed
for displaying images with aspect=True. Otherwise, you may better stick to
the subplot..
> [image: 84Kna.png]
> ... which looks much better, except that there are two sets of x and y axis
> labels? This seems to have something to do with the colorbar. I've got:
>
>
To me, there is another axes underneath the AxesGrid. It is hard to tell
without a complete code.
> label_mode = "L",
> cbar_location="right",
> cbar_mode="each",
> cbar_size="2%",
> cbar_pad="0.5%"
>
> Now I'm trying to get scales and labels on my colorbars.
> I tried:
> for i,parameter in enumerate(z_dim):
> ax = my_grid[i].pcolor(x_grid,y_grid,z_dim[parameter]) # This is the
> pcolor plot
> my_grid[i].set_ylabel('Depth') # Correctly puts a y label on every
> plot.
> cb = my_grid.cbar_axes[i].colorbar(ax) # Puts in a colorbar for this
> axes?s
> cb.set_ylabel(parameter) #It would be nice if this was on the far right
> next to the colorbar. I don't see it anywhere. Perhaps underneath something?
The label of the colorbar is set to invisible by default (this is a bug).
So, try something like
my_grid.cbar_axes[i].set_ylabel(parameter)
my_grid.cbar_axes[i].axis["right"].toggle(ticklabels=True,
label=True)
>
> [image: DPkWz.png]
> It looks like perhaps the colorbar axes is inside the ax axes rather than
> besides it?
> In the
> demo_grid_with_each_cbar<http://matplotlib.sourceforge.net/examples/axes_grid/demo_axes_grid.html>example,
> how would you put a scale and label on the colorbar like in this
> plot:?
> [image: 58dFK.png]
> I can put a y_label on each contour plot, but since they all have depth,
> I'd like to label this only once.
> Is there a way to label the entire AxesGrid (or is that subplot?)?
>
>
Does label_mode="1" do what you want?
You may manually make some of the labels invisible.
Please post a "complete", but simple, script that reproduces your problem.
Otherwise, it is hard to track down what is wrong.
Also, please report what version of matplotlib you're using. The axes_grid
toolkit is relatively new and some of the feature may not work in older
versions.
Regards,
-JJ
> Thank you very much for your help,
>
> -Ryan
>
>
>
> On Wed, Dec 2, 2009 at 10:21 PM, Jae-Joon Lee <lee.j.j...@gmail.com>wrote:
>
>> This happens because, when the AxesGrid is created, gca() is set to the
>> last axes, which is the last colobar axes.
>>
>> If you use axes_grid toolkit, you'd better not use pyplot command that
>> works on axes. Instead, use axes method directly.
>>
>> For example, instead of "pyplot.pcolor(..)" , use "ax.pcolor(..)".
>>
>> Regards,
>>
>> -JJ
>>
>>
>>
>>
>> On Wed, Dec 2, 2009 at 2:18 PM, Ryan Neve <ryan.n...@gmail.com> wrote:
>>
>>> Hello,
>>>
>>> I'm trying to use AxesGrid but I'm running into a problem:
>>> I can plot a single pcolor plot:
>>> [image: 58dFK.png]
>>> But when I try to use AxesGrid, my pcolor plot is ending up where I
>>> expect my colorbar to be.
>>> [image: mEbTA.png]
>>>
>>> I want to have up to 6 of these plots stacked vertically, sharing a
>>> common time axis and y (depth) scale.
>>>
>>> I'll try to simplify my code to show what I'm doing:
>>>
>>> # I have arrays x_grid and y_grid for time and water depth.
>>> # z_dim is a dictionary of arrays (one for each plot)
>>> # In the plot above it has two arrays.
>>> from matplotlib import pyplot
>>> nrows = len(z_dim) # Number of rows is the number of arrays
>>> My_figure = pyplot.figure(1,(8,8))
>>> my_grid = AxesGrid(My_figure, 111, #Is this always 111?
>>> nrows_ncols = (nrows,1), # Always one column
>>> axes_pad = 0.1,
>>> add_all=True,
>>> share_all=True, # They all share the same time and depth
>>> scales
>>> label_mode = "L",
>>> cbar_location="right",
>>> cbar_mode="each",
>>> cbar_size="7%",
>>> cbar_pad="2%",
>>> )
>>> for row_no,parameter in enumerate(z_dim):
>>> ax = my_grid[row_no]
>>> ax = pyplot.pcolor(x_grid,y_grid,z_dim[parameter])
>>> pyplot.draw()
>>> pyplot.show()
>>>
>>> I eventually want to end up with something like this matlab output (which
>>> I didn't generate):
>>> [image: jiIaK.png]
>>> but without the duplication of x scales.
>>>
>>> I'm new to pyplot and even after reading the documentation much of this
>>> is baffling.
>>>
>>> -Ryan
>>>
>>>
>>>
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>>
>
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