Thanks for the reiteration/clarification... Do you see any reason why a
fail-safe check similar to what I proposed would be ill advised?
MJ
-Original Message-
From: Matthew Brett [mailto:matthew.br...@gmail.com]
Sent: Wednesday, October 15, 2014 3:44 PM
To: Mark Janikas
Cc: Thomas Casw
Hi,
On Wed, Oct 15, 2014 at 2:56 PM, Mark Janikas wrote:
>
> When I replaced the file I got the 1st error below. As you had pointed out
> earlier… this is strange. It only occurs when you run it more than once…
> strange indeed… it is like a manager is being created and deleted but perhaps
I have a polar graph that works fine on linux but is blank on MacOS
10.9. Here is a minimal working example (using the API because it is
part of a larger Tkinter application):
#!/usr/bin/env python2
import Tkinter
import matplotlib
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
When I replaced the file I got the 1st error below. As you had pointed out
earlier… this is strange. It only occurs when you run it more than once…
strange indeed… it is like a manager is being created and deleted but perhaps
the reference hasn’t… so you get a no-op on the subsequent import..
For the first question, if I save the figure (as a PNG I'm guessing,
unless you can save into a more array-like format), I'd have to make
sure that there were no labels or ticks and that the axes fit the whole
figure. I'd also have to get the dpi and size information correct, but I
suppose it w
pardon the query if it seems dumb, but why don't you do a savefig()
after plotting the data and then convert it to any format you like?
alternatively, contour() and contourf() both create paths that can
be accessed:
cf = contourf(.)
output = cf.collections.pop()
paths = output.get_paths()[i]
I've been searching and reading through source code and google searches
to see if this is possible, but no luck so far. I'm basically trying to
map some data using Basemap, use contourf to map it to an image, and
then put that image in a geotiff (or other format) for use in other GIS
programs.
On this documentation page: http://matplotlib.org/api/figure_api.html.
It says:
The following classes are definedSubplotParams
control the default spacing of the subplots
Figure
top level container for all plot elements
But actually there are three. The third one is: Ax
