I found this question asked other times, but trying myself there is no
way that I get something working..
So I just want to generate a pdf from a plot with the smallest possible
margin, and I was trying for example this:
fig = plt.figure(1)
fig.frameon = False
plt.plot(range(10), ran
I need to generate in some cases a subplot with two plots one on top of
the other, and in some other cases just one subplot.
So after some attempts I ended up with the ugliest code I've ever
written (maybe not) that you see below.
Is there a better way to do it?
I still didn't fully get how to get
I'm having some troubles understanding basic concepts.
Suppose I want to do something like this, given a dictionary
values = { (0,10) : 0.5,
(10, 20) : 0.3 }
and so on, where the key is a time slot interval and the value is the
value I want to plot.
What should be the correct way to get
I'm having some troubles understanding basic concepts.
Suppose I want to do something like this, given a dictionary
values = { (0,10) : 0.5,
(10, 20) : 0.3 }
and so on, where the key is a time slot interval and the value is the
value I want to plot.
What should be the correct way to get
I'm having some troubles understanding basic concepts.
Suppose I want to do something like this, given a dictionary
values = { (0,10) : 0.5,
(10, 20) : 0.3 }
and so on, where the key is a time slot interval and the value is the
value I want to plot.
What should be the correct way to get
Goyo writes:
>
> As Ben explained you need to draw first. So the usual path is:
> 1. Draw
> 2. Figure out the size of potentially problematic things (labels,
> titles...) and the space you need.
> 3. Adjust subplots or whatever needs adjustment to fit.
> 4. Draw again.
>
> Sort of weird but it wo
Here I am again with the text boxing and scaling.
I'm having some troubles to understand the whole picture, since it seems
that there are so many actors involved.
So suppose I have some text and I want to see how big it is, I thought
I could
t = matplotlib.text.Text(0, 0, "very long string")
t.ge
Some time ago I tried to install matplotlib using zc.buildout, to make
sure I always had the same version everywhere and so on.
Even if numpy was installed it was not found, and someone told me to
modify the setup.py of matplotlib.
But since I think it should work out of the box I think I'm doing
Paul Ivanov writes:
>
> Hi Andrea,
>
> I think Gökhan is pointing out a different feature than the one
> you want. You seem to want to adjust the x and y limits of the
> plot to be some fraction larger than the data that's plotted.
>
> You can do this with:
>
> ax = plt.subplot(111)
> ax.plot(ra
Gökhan Sever writes:
> Hi,
>
> You can try:
>
> fig, ax = plt.subplots(1,1)
> ax.plot(range(10))
> fig.subplots_adjust(left=0.05, right=0.95, bottom=0.05, top=0.95)
>
> If you choose WXAgg as your backend you get a nice config tool to adjust
> spacing in the figure. Then just pass those numbers in
So since I wanted some space on the borders of my graph, I did this
really extremely convoluted thing, which apparently works...
I get a 10% more area on each side, but I'm quite sure there's a better
way to this, right?
I didn't find any function to pass an increment to the size that's why I
did
2011/2/18 Benjamin Root :
>
>
> Automatic layouts are difficult to do in matplotlib. This was a design
> decision trade-off made early in its development. Instead of having
> matplotlib determining optimal layouts and such, the developers decided that
> it would be better to give the programmers
Hi everyone, and thanks for the amazing library first of all :)
Now a short question, I have some graphs and I would like to add some
statistical summary as text on the figure.
I see how I can add text and it's quite easy, the problem is that the text
wants a coordinate to write the graph.
And
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