Reposting as it seems to have fallen through the cracks...
sorry in advance if it was not the case,
Johann
hello,
when histogramming a distribution in log scale, I have some empty bins,
which drives the y axis to 1e-100 as a lower limit, completely squashing
the histogram Bug or feature?
Joh
On Tue, May 27, 2008 at 5:08 PM, John Hunter <[EMAIL PROTECTED]> wrote:
> On Tue, May 27, 2008 at 4:03 PM, C M <[EMAIL PROTECTED]> wrote:
>
>> John, do you know why the times are coming out as 00:00:00 in your
>> example (and mine when I tried it), even though the actual times are
>> specified?
>
>
On Tue, May 27, 2008 at 4:03 PM, C M <[EMAIL PROTECTED]> wrote:
> John, do you know why the times are coming out as 00:00:00 in your
> example (and mine when I tried it), even though the actual times are
> specified?
Yes, these are the locations of the ticks, not the data points. The
default tic
Hi,
Here is what I get when using the verbose mode, since removing and
installing over again Matplotlib didn't vhanged anything I suspect my
LaTeX packages might be responsible,...
Thanks in advance for any help
$HOME=/home/fayette
CONFIGDIR=/home/fayette/.matplotlib
matplotlib data path /usr/
On Tue, May 27, 2008 at 2:14 PM, Margherita Vittone wiersma
<[EMAIL PROTECTED]> wrote:
> id_list=[1,2,3,4,5,6]
> str_dates=['2006-07-29 11:01:01','2006-07-29 10:02:03','2006-07-31 00:00:00',
> '2006-08-01 10:11:12','2006-08-02 09:09:09','2006-08-03 08:08:08']
>
> id_dates=datestr2num(str_
Hi all,
I've been running into this one and tried compiling it a number of
ways. Unfortunately the way it's fitting into our infrastructure, it's
gotta be 64-bit. Here's the script:
#!/usr/bin/python/bin/python
from pylab import *
plot([1,2,3,4])
savefig('secondfig')
show()
I comment out the
Hello,
i am trying to plot information which will have on the x a timestamp
imformation;
even if i specify the formatter i want(see code below) , it seems to be
ingnored in the
labels, meaning, i don't see the time portion of it, just the date.
The code is very simple since i am just testing; tha
