matplotlib-users Mailing List for matplotlib

Is there a pylab version of ax.plot_surface?
I am asking because the following does not work when running an ipython 
notebook in pylab mode:
#0: #create some data ....
#1: fig = plt.figure()
 ax = fig.gca(projection='3d')
#2: surf = ax.plot_surface( .....) # taking the exact command from the examples.
I have verified that this code only does NOT work when #1 and #2 are 
executed in different notebook cells. When they are combined in the 
same cell, it works.
As I prefer the flexibility of being able to run everything anywhere, I 
am asking for pylab versions of plot_surface, as I am mostly running 
things in the pylab mode of the notebook.
Cheers,
Michael

Good afternoon,
I'd like to be able to plot some 2D Structured CFD meshes
and contour plots (pressure, etc) using Matplotlib. I've
googled a little but does anyone have any pointers or
links to help get me started?
Thanks!
Jeff

Hi all,
 From http://labix.org/python-dateutil
"To generate a rrule for the use case of "a date on the specified day of 
the month, unless it is beyond the end of month, in which case it will 
be the last day of the month" use the following:
rrule(MONTHLY, bymonthday=(some_day, -1), bysetpos=1)
This will generate a value for every calendar month regardless of the 
day of the month it is started from."
Using bymonthday with MonthLocator gives ticks on the day given and the 
last day of the month, which looks extremely ugly. Code below demonstrates.
from dateutil.rrule import *
import datetime
import matplotlib.pyplot as plt
from matplotlib.ticker import FormatStrFormatter, MultipleLocator
from matplotlib.dates import DateFormatter, MonthLocator, DayLocator
start = datetime.date(2013, 3, 29)
until = datetime.date(2014, 3, 29)
dates = rrule(MONTHLY, bymonthday=(29, -1), bysetpos=1, until=until)
for d in dates:print(d)
dates = [start, until]
values = [0, 1]
plt.ylabel('Balance')
plt.grid()
ax = plt.subplot(111)
plt.plot_date(dates, values, fmt = 'rx-')
ax.xaxis.set_major_locator(MonthLocator(bymonthday = (dates[0].day, -1)))
ax.xaxis.set_major_formatter(DateFormatter('%d/%m/%y'))
ax.yaxis.set_major_formatter(FormatStrFormatter('£%0.2f'))
ax.yaxis.set_minor_locator(MultipleLocator(5))
plt.axis(xmin=dates[0], xmax=dates[-1])
plt.setp(plt.gca().get_xticklabels(), rotation = 45, fontsize = 10)
plt.setp(plt.gca().get_yticklabels(), fontsize = 10)
plt.show()
-- 
If you're using GoogleCrapTM please read this 
http://wiki.python.org/moin/GoogleGroupsPython.
Mark Lawrence

Here it comes -> https://github.com/matplotlib/matplotlib/issues/1871
On Fri, Mar 29, 2013 at 6:57 AM, Benjamin Root <ben...@ou...> wrote:
>
>
> On Thu, Mar 28, 2013 at 12:52 PM, Gökhan Sever <gok...@gm...>
> wrote:
>>
>> There is no documentation supplied for the first call. Should I file
>> an issue for this on github?
>>
>
> Wouldn't hurt. Be sure to include an image showing the result of each
> command.
>
> Ben
>
-- 
Gökhan

On Thu, Mar 28, 2013 at 12:52 PM, Gökhan Sever <gok...@gm...>wrote:
> There is no documentation supplied for the first call. Should I file
> an issue for this on github?
>
>
Wouldn't hurt. Be sure to include an image showing the result of each
command.
Ben

On Mar 28, 2013, at 14:36 PM, Eric Firing <ef...@ha...> wrote:
> The problem is that it would be entirely redundant, given the vmin and vmax kwargs that have been there for a long time.
Fair enough - I just often play with symmetric axis limits (i.e. [-1.,1.]) and so its helpful to be able to specify as an array and do something like clim = array([-1.,1.])*0.2 (for instance). Of course matplotlib probably has some other fancy way to rescale the vmin and vmax simultaneously...
Thanks a lot, Jody
--
Jody Klymak 
http://web.uvic.ca/~jklymak/