b2l[0], b1l[0], b0l[0]],["98,304 -
163,840 Cores", "32768 - 98,303 Cores",
"8,192 - 32,767 Cores", "0 - 8,191 Cores"],
loc="upper left", shadow=True)
but I would be interested in hearing a better way.
~jon
On Thu, Sep 11, 2
ores", "32768 - 98,303 Cores",
"8,192 - 32,767 Cores", "0 - 8,191 Cores"],
loc="upper left", shadow=True)
And got the same results. (I had thought that multiple bar commands
would replace, rather than stack, on a given axis.)
~jon
On Thu, S
I have a multicolor bar chart that I create like this:
bar(dates*4, b3 + b2 + b1 + b0,
color=(['#9E73C1']*len(dates) + ['#A6DE62']*len(dates)
+ ['#F35E5A']*len(dates) + ['#4992DE']*len(dates)),
width=4)
How can I create a legend for this?
leg = legend(["98,304 - 1
I've got a pretty standard "plot with a title" set up, but my title is
three lines long, and is pushed off the top of the figure by the
layout.
How can I "squish" (rescale) the y-axis of my axes to give more room
above the figure? How can I add padding around the axes in the figure?
(For now, I'v
I am tracking and visualizing temperatures for the nodes of a computing
cluster. I am already using matplotlib to render historical temperature data
as a line plot, but I also want to be able to show averages over a time
range. I want to represent this as a 2-D array of boxes shaded with a
gradien
It seems that xlim/ylim only set outside bounds. (Don't plot less than min,
or more than max.) Is there any way to specify a plot range even if there's
no data there? Like, if my graph plots [5,6,7,8], [5,7,3,6] could I specify
that my plot should display x and y from 0 to 10?
~jonatho
Could someone point me to documentation of the oo interface? Everything
seems to reference pylab (even examples that say they're for the oo
interface).
~jonathon
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f().
So the two commands lists you have below end up being functionally
equivalent.
--Tom
On 1/19/07, Jonathon Anderson <[EMAIL PROTECTED]> wrote:
> I have several lines of data that I want to plot on the same graph, but
> every time I run the pylab.plot() function it redraws the
l the data at once?
e.g., Do I have to do this:
pylab.plot(x1, y1, x2, y2, x3, y3, ...)
or can I do this:
pylab.plot(x1, y1)
pylab.plot(x2, y2)
pylab.plot(x3, y3)
...
~jonathon anderson
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