Eric Firing wrote:
> Xavier Gnata wrote:
>>
>>>
>
>>> Right now, the default is very simple:
>>>
>>> def format_data_short(self,value):
>>> 'return a short formatted string representation of a number'
>>> return '%1.3g'%value
>>>
>>> It looks like changing it to something l
Hello again,
I can set the figure size and font size, that all works fine. However,
the legend is prohibitively large: for a plot 3 inches wide (why
doesn't matplotlib use centimeters or similar?), the legend takes up
about one third of the plot. This does not look too good...
cheers,
Paul
On Sat, May 30, 2009 at 2:49 AM, Xavier Gnata wrote:
> ok. My bad! Sorry.
> I have changed the default to %1.4g so that is matches my usecases *but* I
> agree that correct way to improve it in not that trivial...
You can control the point at which mpl falls over to scientific
notation. From th
On Sat, May 30, 2009 at 3:50 AM, Paul Anton Letnes
wrote:
> Hello again,
>
>
> I can set the figure size and font size, that all works fine. However,
> the legend is prohibitively large: for a plot 3 inches wide (why
> doesn't matplotlib use centimeters or similar?), the legend takes up
> about on
John Hunter wrote:
> On Sat, May 30, 2009 at 2:49 AM, Xavier Gnata wrote:
>
>> ok. My bad! Sorry.
>> I have changed the default to %1.4g so that is matches my usecases *but* I
>> agree that correct way to improve it in not that trivial...
>
>
> You can control the point at which mpl falls over
On Sat, May 30, 2009 at 11:52 AM, Eric Firing wrote:
> No, that applies to the axis ticks but not to the readout, and I think it is
> the latter that Xavier is concerned with--at least that is what I have been
> talking about, and want to improve.
Just to clarify -- by "readout" do you mean the
Hi,
Given that the values of ordinates are changing monotonically, I found that
in some cases, stineman interpolation is monotonic even when the slopes are
not monotonic. And in other cases, it overshoots. Like in the following one:
x = (0, 10, 70, 100)
y = (0, 535, 595, 1000)
xx = arange(0,100,1
John Hunter wrote:
> On Sat, May 30, 2009 at 11:52 AM, Eric Firing wrote:
>
>
>> No, that applies to the axis ticks but not to the readout, and I think it is
>> the latter that Xavier is concerned with--at least that is what I have been
>> talking about, and want to improve.
>>
>
> Just to
John Hunter wrote:
> On Sat, May 30, 2009 at 11:52 AM, Eric Firing wrote:
>
>> No, that applies to the axis ticks but not to the readout, and I think it is
>> the latter that Xavier is concerned with--at least that is what I have been
>> talking about, and want to improve.
>
> Just to clarify --
I am sorry if this has been covered in teh archives or is RTFM-sh but I
looked in both places and am low on time. I want to use text as the value
for the X-axis ticks not numbers. Something like 'Trial1', 'Trial2',
'Control' instead of 1,2,3.
Is this even possible? It seems that this would be a
Hey,
Try this:
plot([1,2,3])
locs, labels = xticks([0,1,2], ['Trial1', 'Trial2', 'Control'])
Gökhan
On Sat, May 30, 2009 at 8:05 PM, W. Augustine Dunn III
wrote:
> I am sorry if this has been covered in teh archives or is RTFM-sh but I
> looked in both places and am low on time. I want to us
Gökhan == "awesome"
Thanks, I KNEW it had to pretty simple.
Gus
On Sat, May 30, 2009 at 6:12 PM, Gökhan SEVER wrote:
> Hey,
>
> Try this:
>
> plot([1,2,3])
> locs, labels = xticks([0,1,2], ['Trial1', 'Trial2', 'Control'])
>
> Gökhan
>
>
> On Sat, May 30, 2009 at 8:05 PM, W. Augustine Dunn III
You are welcome Gus :)
Go ahead and try these too.. I am assuming that you are experimenting in
Ipython with --pylab.
Use ? or ?? or browse and read for more information regarding to the usage
of functions (http://matplotlib.sourceforge.net/api/pyplot_api.html) I am
sure gallery has some extra de
On Sat, May 30, 2009 at 6:46 PM, Eric Firing wrote:
> Possible, but I think there is a much better solution along the lines I
> suggested earlier. I have it partly implemented. To really do it right
> will require a little bit of work on all the interactive backends; it might
> be very little a
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