matplotlib-users Mailing List for matplotlib

Hi,
As I remember from an earlier discussion on this, it's assumed that
> these small deviations are tolerable in the agg renderer. This makes
> the interactive backends more responsive at expenses of accuracy.
>
Do you remember the name of the thread? I would like to understand the
details on this.
I also would like to find out if i can force the renderer to do exact
drawing (at some computational cost).
I can see the same deviations using the tkagg backend with mpl 1.1.0
> but if I save as pdf using the save button I get an accurate rendering
> (see attachment).
>
I can verify this. Thanks for pointing this out.
With best regards
Anton

On 11/6/2011 11:18 AM, kra...@gm... wrote:
> /usr/lib/pymodules/python2.7/mpl_toolkits/mplot3d/axes3d.pyc in
> set_autoscale_on(self, b)
> 252 """
> 253 Axes.set_autoscale_on(self, b)
> --> 254 self.set_autoscalez_on(self, b)
> 255
> 256 def set_autoscalez_on(self, b) :
>
> TypeError: set_autoscalez_on() takes exactly 2 arguments (3 given)
>
>
> I believe there is one self too much.
>
> Regards
> Stefan
>
Opened a pull request at 
<https://github.com/matplotlib/matplotlib/pull/567>.
Christoph

On Sat, Nov 5, 2011 at 3:52 PM, kra...@gm... <
kra...@gm...> wrote:
> I suppose it is possible to delete all collections one by one, but that's
> an ugly solution. And as I'm not aware of the behind the scenes work done
> by contour it's a bit dangerous.
>
> Is there a standard way to remove a contour plot?
>
> Regards
> Stefan Krastanov
>
>
This one bit me recently, too. You just have to loop through the contour
object's collections member and remove each one.
Ben Root

On Mon, Nov 7, 2011 at 1:40 PM, Yoshi Rokuko <yo...@ro...> wrote:
> > is there a way for using Basemap with AxisGrid?
> >
> > did someone try something like:
> >
> > grid = AxisGrid()
> > for i in range(4):
> > grid[i].scatter(with underlying Basemap)
>
> the common thing is probably something like:
>
> fig = pl.figure()
> for i in range(4):
> fig.add_subplot(2,2,i)
> bm = Basemap()
> x, y = bm(lon, lat)
> pl.scatter(x, y, ..., vmin=globalmin, vmax=globalmax)
>
> that works nice, but how do i plot a global colorbar then?
>
>
Why not something like this:
fig = plt.figure()
grid = AxesGrid(...)
bm = Basemap(...)
for ax in grid :
 x, y = bm(lon, lat)
 ax.scatter(x, y, vmin=globalmin, vmax=globalmax)
I do variations of this all the time.
Ben Root

> is there a way for using Basemap with AxisGrid?
> 
> did someone try something like:
> 
> grid = AxisGrid()
> for i in range(4):
> grid[i].scatter(with underlying Basemap)
the common thing is probably something like:
fig = pl.figure()
for i in range(4):
 fig.add_subplot(2,2,i)
 bm = Basemap()
 x, y = bm(lon, lat)
 pl.scatter(x, y, ..., vmin=globalmin, vmax=globalmax)
that works nice, but how do i plot a global colorbar then?
i think this is a common thing, i want to compare one
map with different scatter plots on it ...
someone did something like that before?
thank you and best regards, yoshi

I also updated my macports last week and now also have a similar error:
/opt/local/Library/Frameworks/Python.framework/Versions/2.5/lib/python2.5/site-
packages/matplotlib/backends/backend_gtk.py:552: 
GtkWarning: gtk_widget_unrealize: assertion `GTK_IS_WIDGET (widget)' failed
 self.toolbar.destroy()
Just wondering if anyone has had any luck identifying how to fix it so 
python doesn't crash on exiting every time? 
Joel

Gökhan,
This a great trick! Much simpler than digging around with line
segments and such. My old solution to this problem was so clunky and
slow I'm embarrassed to post it. Thanks so much for sharing this.
-paul
On Sat, Nov 5, 2011 at 9:39 PM, Gökhan Sever <gok...@gm...> wrote:
> Hi,
> I was wondering this about 2 years ago
> [http://old.nabble.com/Gradient-color-on-a-line-object-td25630375.html]
> Just today, I have found a very simple way to do this in mpl.
> x = np.linspace(0, 2*np.pi, 3600)
> y = np.sin(x)
> plt.scatter(x,y,c=range(len(x)), marker='_', s=1)
> Setting the marker to underscore character and choosing a relatively low
> size value makes the line appear just like I wanted. (Provided, using
> lengthy data points)
> Is this a very known trick? If not so, what is your favorite color gradient
> approach for a simple plot?
> Cheers,
> --
> Gökhan
>
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>

Hello All,
I have an issue with the pick event where when the zoom tool is used and
then the pick event is fired, the event.ind returns the number of indexes
which are visible between the zoomed xlim min and max, however the
line.get_xdata() returns all of the xdata values.
The issue is that the index of the xdata and the returned index do not match
here is an example of the output
xbound (0.4049505073424931, 0.66117278529306056) #the xbound values as seen
on the screen
index [33] #the picked index
xdata [ 0.00416667 0.0083 0.0125 0.01673333 0.02093333 
0.02516667
 0.02936667 0.0336 0.0378 0.04203333 0.04623333 0.05043333
 0.05466667 0.05886667 0.06306667 0.0673 0.0715 0.0757
 0.07993333 0.08416667 0.08836667 0.0926 0.09683333 0.10103333
 0.10523333 0.10946667 0.1137 0.11793333 0.12216667 0.12636667
 0.1306 0.13483333 0.13903333 0.14323333 0.14746667 0.15166667
 0.1559 0.1601 0.16433333 0.16853333 0.17276667 0.17696667
 0.1812 0.1854 0.1896 0.19383333 0.19806667 0.2023
 0.2065 0.21073333 0.21493333 0.21913333 0.22336667 0.22756667
 0.2318 0.23603333 0.24023333 0.24446667 0.2488 0.25303333
 0.25726667 0.26146667 0.2657 0.26993333 0.2742 0.27843333
 0.28263333 0.28686667 0.29106667 0.2953 0.2995 0.3037
 0.30793333 0.31216667 0.31636667 0.3206 0.3248 0.329
 0.33323333 0.33743333 0.34166667 0.3459 0.3501 0.35433333
 0.35853333 0.36273333 0.36696667 0.3712 0.37543333 0.37963333
 0.38383333 0.38806667 0.39226667 0.39646667 0.4007 0.40493333
 0.40916667 0.4134 0.41766667 0.42186667 0.4261 0.43033333
 0.43456667 0.43876667 0.44296667 0.4472 0.4514 0.45563333
 0.45986667 0.4641 0.46833333 0.47256667 0.47676667 0.481
 0.48523333 0.48946667 0.4937 0.49793333 0.50213333 0.50636667
 0.5106 0.5148 0.51903333 0.52326667 0.52746667 0.5317
 0.53593333 0.54016667 0.5444 0.54863333 0.55283333 0.55706667
 0.5613 0.5655 0.56973333 0.574 0.57823333 0.58246667
 0.58666667 0.5909 0.59513333 0.59933333 0.60353333 0.60776667
 0.61196667 0.6162 0.6204 0.62463333 0.62886667 0.6331
 0.6373 0.6415 0.64573333 0.64993333 0.65416667 0.6584
 0.6639 0.66846667 0.67316667 0.67816667 0.6824 0.68663333
 0.69083333 0.69623333 0.70046667 0.70466667 0.70886667 0.71426667
 0.71846667 0.7236 0.72783333 0.7322 0.7367 0.7412
 0.74543333 0.74963333 0.75386667 0.7581 0.76233333 0.76653333
 0.77076667 0.77496667 0.7792 0.78343333 0.78766667 0.7919
 0.7961 0.80033333 0.80456667 0.8088 0.813 0.81723333
 0.82146667 0.82566667 0.8299 0.8341 0.83833333 0.84256667
 0.84676667 0.85096667 0.8552 0.85943333 0.86363333 0.86786667
 0.8721 ] #the data in my x axis
xdata[index] [ 0.14323333] ydata[index] [ 0.04673034] #the data returned
from the pick event 
as can be seen the data on the screen is limited to the xbound, and the
picked data is index 33 of the entire xdata (and ydata)
is there a simple command that only picks the data from the xbound values
and not the entire xdata?
pls healp
-- 
View this message in context: http://old.nabble.com/how-do-you-pick-the-data-values-from-a-line-that-has-been-zoomed-in-tp32788725p32788725.html
Sent from the matplotlib - users mailing list archive at Nabble.com.

is there a way for using Basemap with AxisGrid?
did someone try something like:
grid = AxisGrid()
for i in range(4):
 grid[i].scatter(with underlying Basemap)
?
thank you and best regards, yoshi