On 2012/10/08 6:21 PM, Jody Klymak wrote:
> Hi Eric,
>
> Not sure if this is exactly what Jinbao is referring to, but:
>
> ax=gca()
> X = randn(300,300)
> pcolor(X)
> ax.set_yscale('log')
> ylim(1,100)
>
> Brings my computer to a standstill for over a minute. Removing the
> "set_yscale" command s
Hi Eric,
Not sure if this is exactly what Jinbao is referring to, but:
ax=gca()
X = randn(300,300)
pcolor(X)
ax.set_yscale('log')
ylim(1,100)
Brings my computer to a standstill for over a minute. Removing the
"set_yscale" command speeds things up a lot.
Same thing takes about 2 s in Matlab.
On 10/8/12 11:03 PM, Paul Tremblay wrote:
> I often have to make graphs with time series, with each point being the
> start of a week. Below is the result I wish:
>
> However, in order to make the secondary x axis the the month labels, I
> need something like 40 lines of code. My strategy consists
I often have to make graphs with time series, with each point being
the start of a week. Below is the result I wish:
However, in order to make the secondary x axis the the month labels,
I need something like 40 lines of code. My strategy consists in
first drawing the
Hi Jianbao,
I used to try and install my python suite from src code on my own.
Somewhere between the Mac OS 10.5, 10.6, migrating accounts, my python
installation broke, and I never could get it all working again. Something
related to 10.6 didn't have full backwards compatibility because of the
On Mon, Oct 8, 2012 at 4:37 PM, Jianbao Tao wrote:
> Problem: The autodatelocator and autodateformatter don't seem to work
> properly. One, the formatter doesn't seem to work immediately after being
> applied to an axis. A manual call to the locator seems necessary. Two, the
> autodatelocator does
Hi Andre,
Thanks for your message. I like it. :-)
I do have a .edu email. I didn't try to install Chaco with EPD because I
tend to be skeptical when it comes to a bundled package with a lot of
stuff. I like it to be as simple as possible. But it seems that I am
probably better off to install EPD
On 2012/10/08 7:55 AM, Jianbao Tao wrote:
> Hi all,
>
> A little background: I am from the space physics field where a lot of
> people watch/analyze satellite data for a living. This is a field
> currently dominated by IDL in terms of visualization/analysis software.
> I was a happy IDL user until
Hi Jianbao,
One option for getting Chaco is to install the Enthought python disctribution
http://www.enthought.com/
you can see from their package index, they install Chaco (and all needed
libraries to make it work)
http://www.enthought.com/products/epdlibraries.php
If you have an email endin
Hi all,
A little background: I am from the space physics field where a lot of
people watch/analyze satellite data for a living. This is a field currently
dominated by IDL in terms of visualization/analysis software. I was a happy
IDL user until I saw those very, very, I mean, seriously, very, very
> Hello,
>
> Is there any collection of articles that shows academic articles using
> matplotlib produced plots? I have come across a few recent articles in my
> field with plots produced by matplotlib. Though, the mpl page shows some
> nice examples of publication quality plots, it would be nice t
Bug to the bug report: In the subject, it should be 'Bug report', rather
than 'But report'. Oops :-(
Jianbao
On Mon, Oct 8, 2012 at 9:37 AM, Jianbao Tao wrote:
> Problem: The autodatelocator and autodateformatter don't seem to work
> properly. One, the formatter doesn't seem to work immediately
Problem: The autodatelocator and autodateformatter don't seem to work
properly. One, the formatter doesn't seem to work immediately after being
applied to an axis. A manual call to the locator seems necessary. Two, the
autodatelocator doesn't seem to be able to handle view intervals less than
1 sec
Thanks, Ben.
Your fix works when the view interval is greater than 1 minute, but not so
much when the view interval is less than one minute.
BTW, what I am trying to accomplish is to use matplotlib to plot
time-series data that can be as long as several days and as short as a few
milliseconds. So
On Sun, Oct 7, 2012 at 6:47 PM, Jianbao Tao wrote:
> fig = figure()
> tsta = num2epoch(date2num(datetime.datetime.now()))
> tarr = tsta + arange(0, 60*60*0.5, 0.1)# half hour, dt =
> 0.1 sec
> x = np.array(num2date(epoch2num(tarr)))
> nt = len(tarr)
> y = randn(nt)
>
> ax = fig.ad
15 matches
Mail list logo
