Nils Wagner [EMAIL PROTECTED] writes:
I have upgraded matplotlib via svn.
Then you probably should be following the developers' mailing list as
well as this one. According to the thread about build_ext --inplace,
the mpl-data directory is undergoing a restructuring in svn, and
apparently not
Hi,
I'm doing some simple 3d plots with matplotlib. So far I have used
Axes3D.plot which works well. However, I would like to be able to
either fill the curves, or at least hide lines which are 'behind'
other curves. Can this be done?
I don't think it should be hard to do given the other 3d
Hello everbody,
sometimes I need an autoscaling when my new data points in a figure have small
values compared to some deleted ones. So I thought ax.autoscale_view() would
be the solution, but it seems to remember deleted data and so doesn't scale
limits like I want. A little program showing
Hi,
I would need the equivalent of twinx, but for other axis, so a twiny
function. Shouldn't it be in mpl already?
thanks for your help,
Eric
-
Using Tomcat but need to do more? Need to support web services, security?
Get
On 2/13/07, Eric Emsellem [EMAIL PROTECTED] wrote:
Hi,
I would need the equivalent of twinx, but for other axis, so a twiny
function. Shouldn't it be in mpl already?
thanks for your help,
At the time noone wanted it, but it's easy enough to do. I just added
the following to pylab svn:
On Tue, 13 Feb 2007, Eric Emsellem wrote:
I would need the equivalent of twinx, but for other axis, so a twiny
function. Shouldn't it be in mpl already?
twiny() doesn't exist, but the source code of twinx() is in
lib/matplotlib/pylab.py and it's about eight lines long, so it's easy
enough to
On 2/13/07, John T Whelan [EMAIL PROTECTED] wrote:
The one catch with this, practically, is that the top x axis is
written in the same place as the plot title. I have yet to play with
the placement of the title.
A combination of moving the stop of the subplot down with the
subplots_adjust
I have a long list composed of either 0s or 1s.
I would like to plot the sequence as a horizontal bar in which 0 = black
pixel, 1 = white pixel
- something looking like a barcode, if you know what I mean.
Is there a way do to that with matplotlib?
Thanks
On 2/13/07, Giorgio Gilestro [EMAIL PROTECTED] wrote:
I have a long list composed of either 0s or 1s.
I would like to plot the sequence as a horizontal bar in which 0 = black
pixel, 1 = white pixel
- something looking like a barcode, if you know what I mean.
Is there a way do to that with
On 2/13/07, John Hunter [EMAIL PROTECTED] wrote:
Something like the following should do the trick:
A minor modification: for a barcode, you'll want to pass
interpolation='nearest' to the imshow command. I just committed the
binary colormap to svn and added examples/barcode_demo.py. The new
I asked some help last week.
I post here the solution to my problem since I believe it's something of
general interest.
A figure is generated and the user can change the size of the canvas (in
inches) interactively, as if we are zooming in and out the canvas.
This is particularly useful when you
I am having trouble with axes and grids in the y-direction.
I have a 3 rows x 2 colums figure and I like to have 5 major Y divisions or 4
grid lines for each of the graphs. 5 of the 6 graphs came out properly. For
instance, for a Ymin=12, Ymax=17, I get grid lines at y=13, 14, 15, and 16.
Hello,
I've been trying to use matplotlib from boa constructor (on windows,
running enthon-python2.4-1.0.0 and boa-constructor 0.4.4). For test
purpose I have a single button-event call this function:
def testPlot():
plot([1,2,3])
show()
Everything is fine for the first event -
13 matches
Mail list logo
