(sorry if this is a duplicate post)
Jae,
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:

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. 
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. 
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()
Regards,
Ryan
Here’s a complete example:
from matplotlib import pyplot
from mpl_toolkits.axes_grid import AxesGrid
from numpy import arange, linspace, meshgrid, random, transpose
Generate some data
x_dim = linspace(1253250000,1253250000 + 606024,47) # This is epoch seconds
y_dim = arange(0,2.7,0.1)
z_dim = {}
z_dim[‘chl’] = random.rand(len(x_dim),len(y_dim)) + linspace(5,26,len(y_dim))
z_dim[‘do’] = random.rand(len(x_dim),len(y_dim)) + linspace(5,10,len(y_dim))
z_dim[‘turb’] = random.rand(len(x_dim),len(y_dim)) + linspace(4.5,12.5,len(y_dim))
x_grid,y_grid = meshgrid(x_dim,y_dim)
x_grid = transpose(x_grid)
y_grid = transpose(y_grid)
Start the plotting routines
DAP_figure = pyplot.figure(1,(8,8))
#pyplot.title(‘Title goes here’) # THIS IS THE LINE THAT CAUSES THE EARLIER PROBLEM
pyplot.figtext(0.05,.5,“Depth (m)”,rotation=‘vertical’,verticalalignment=‘center’)
Create a grid of axes with the AxesGrid helper class
my_grid = AxesGrid(DAP_figure, 111, # Only one grid in DAP_figure
nrows_ncols = (3,1),
axes_pad = 0.0, #pad between axes in inches
aspect=False, #By default (False), widths and heigths of axes in the
grid are scaled independently. If True, they are scaled according to
their data limits
add_all=True, # Add axes to figures if True (default True)
share_all=False, # xaxis & yaxis of all axes are shared if True (default False)
label_mode = “L”, # location of tick labels thaw will be displayed. “1”
(only the lower left axes), “L” (left most and bottom most axes), or
“all”
cbar_location="right", # "right" or "top"
cbar_mode="each", # "None","single", or "each"
cbar_size="2%",
cbar_pad="1%",
)
for i,parameter in enumerate(z_dim):
ax = my_grid[i].pcolor(x_grid,y_grid,z_dim[parameter])
my_grid[i].set_ylabel(parameter) # Puts a y label on every graph. Eventually we want this labeled only once.
my_grid.cbar_axes[i].colorbar(ax)
my_grid.cbar_axes[i].axis["right"].toggle(ticklabels=True,label=True)
my_grid.cbar_axes[i].set_ylabel("units")
my_grid[i].axis["bottom"].major_ticklabels.set_rotation(45) #
pyplot.show()
···
On Tue, Dec 8, 2009 at 7:39 PM, JaeJoon Lee <lee.j.joon@…287…> wrote:
Did you test the code in my previous post?
If you want to get some help, you need to take your time to create a simple and complete example (which reproduces the problem) that others can easily test.
Since I believe the problem is due to the existence of an extra axes, your example don’t need to show any images. Please post a simple script that draws a blank AxesGrid and shows extra ticklabels as your current code does.
Regards,
JJ