Would it be workable for the default to be proportional to the size of the
array passed in? (suggested only because I do that myself, when deciding how
coarse an investigative plot I can get away with.)
C
On Dec 11, 2012, at 9:28 AM, Benjamin Root wrote:
On Tue, Dec 11, 2012 at 12:17
I think a histogram isn't the thing I need because it is not important
when (the time) the values between 60 and 90 have been created. Only
the values and the amount of values is important.
You can make the values the independent axis of the histogram.
Also when talking about a colormap
way to implement this?
I do not know of any other software that this issue has been implemented.
cheers!
On 10/26/2012 07:47 PM, Chloe Lewis wrote:
you'll be doing something like the second color bar, but making the
boundary and color definitions a lot more flexible. Where the discrete
Chloe Lewis
PhD candidate, Harte Lab
Division of Ecosystem Sciences, ESPM
University of California, Berkeley
137 Mulford Hall
Berkeley, CA 94720
chle...@berkeley.edu
Begin forwarded message:
From: Chloe Lewis chle...@berkeley.edu
Subject: Re: [Matplotlib-users] how to express statistical
You can plot them all individually; e.g.
rec = ([1,2,.5], [0.5, 3, 1.1], [5, 7, .2])
for r in rec:
pylab.plot( r[:2], [r[2]]*2)
On Dec 10, 2010, at 12:13 PM, John Salvatier wrote:
I have a set of records with (start, end, value) values. Basically
they represent we had this value
scalable, end-to-end
client virtualization framework. Read more!
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Chloe Lewis
Ecosystem Sciences, Policy and Management, UC Berkeley
137 Mulford Hall
Berkeley, CA 94720-3114
http://nature.berkeley.edu/~chlewis
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Start uncovering the many
Well, I had my bib program open, so here are a couple formats:?xml version=1.0 encoding=UTF-8?
xml
records
recorddatabase name=Everything.bib path=/Users/chlewis/Documents/svn/chlewis/Everything.bibEverything.bib/databasesource-app name=BibDesk
axes labeled. Note: many versions get one of the
axes backwards.)
C
On Sep 15, 2010, at 8:38 AM, Uri Laserson wrote:
I believe that Chloe Lewis may have posted about this before. She
has code for doing some ternary plotting type stuff that may be a
good place to start for you:
http
And if you have mutually prime numbers of colors,
linestyles, widths, you can automatically generate
more distinct lines than I can distinguish... If there's any
wxcuse for treating them as a series, I replot
when I know how many I have, and space the
colors through a colorbar.
C
Away from
, but rather
savefig(), with a file-directory window showing me the results as I go.
If that doesn't work for you, the experts probably need a more precise
bug report to figure out what would.
Chloe Lewis
Grad student, ESPM, UC Berkeley
On May 25, 2010, at 8:40 PM, Ted Rosenbaum wrote:
Hi,
I am
I got curious and looked for the grid command in matplotlib/axes.py.
Looks like an inherited-from-Matlab thing. In the cla (clear axis)
function of the Axes class:
self._gridOn = rcParams['axes.grid']
#...
self.grid(self._gridOn)
and grid() passes its argument on
.
See why Intel Parallel Studio got high marks during beta.
http://p.sf.net/sfu/intel-sw-dev
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But this example doesn't solve the problem I was thinking of: it shows
lots of colors in the colorbar that aren't used in the plot.
C
On Mar 30, 2010, at 6:52 AM, Friedrich Romstedt wrote:
2010/3/30 Ariel Rokem aro...@berkeley.edu:
I ended up with the code below, using Chloe's previously
To zoom in on the relevant section of a colorbar -- I convinced myself
once that I'd need an auxiliary function to define a new cdict that
covers only the current section of the original cdict. (and then
define a new colorbar from the cdict, and maybe do a little norming of
the data).
, 2010, at 11:52 PM, Chloe Lewis wrote:
To zoom in on the relevant section of a colorbar -- I convinced myself
once that I'd need an auxiliary function to define a new cdict that
covers only the current section of the original cdict. (and then
define a new colorbar from the cdict, and maybe do
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Ecosystem Sciences
137 Mulford Hall
Berkeley, CA 94720-3114
http
You'd always have to specify the domain, so
plot(map(lambda x:x**2, range(1,10)))
shouldn't be much longer than the minimal command.
C
On Mar 10, 2010, at 10:12 AM, max ulidtko wrote:
Hi.
Is it possible to plot arbitrary lambda function with matplotlib?
Say, if i have f = lambda x:
.
See why Intel Parallel Studio got high marks during beta.
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phob...@geosyntec.com wrote:
...maybe dividing the markers up into 2, 3, or 4 sections would be
useful too.
...
There's a gallery example doing that in general, making pie-charts out
of the markers:
http://matplotlib.sourceforge.net/examples/api/scatter_piecharts.html
although I think
... and for dessert, is there a circular colormap that would work for
the colorblind?
My department is practicing presenting-science-for-the-general-public,
and the problems 'heat maps' have for the colorblind keep coming up.
handy:
I use a scatterplot with enough points to overlap into a line. Works
best with alpha=0.5 or thereabouts; I generally overplot with a dashed
BW line to make the legend understandable.
Probability that there is a more elegant way: high.
C
On Oct 14, 2009, at 9:23 AM, Devin Silvia wrote:
You will probably want to add axes explicitly (not with subplot), e.g.
fig.add_axes([.1,.1,.71,.8])
specifies the coordinates of one corner and the width and height (in
proportions of the figure size). When doing this explicitly, you will
probably need to do some extra adjustments to fit the
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Chloe Lewis
Graduate student, Amundson Lab
Division of Ecosystem Sciences, ESPM
University of California, Berkeley
137 Mulford Hall - #3114
Berkeley, CA 94720-3114
chle...@nature.berkeley.edu
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Division of Ecosystem Sciences, ESPM
Any current transforms examples? The transforms docs suggest looking
in /units for transforms examples; the current matplotlib examples
has /units without transforms. (I want something a bit more detailed
than the offset.)
If the transforms are currently too much in flux, I'll do something
Once the axes are the same, can one get the actual bars to align? hist
() arranges them to look well in their original ranges, so they don't
line up together, AFAICT:
#plotting barcharts w/different ranges on same axis
import pylab
a = [1]*2 + [2]*3 + [3]*4
b = [3]*1 + [4]*2 + [5]*3
allim =
I don't know how to make the // symbol in the y-axis, but if you
have two plots that share the same x-axis, you can represent this
kind of data.
The Working with multiple figure and axes section of the tutorial
http://matplotlib.sourceforge.net/tutorial.html
is almost right; if you turn off
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