That definitely helps. Here's what I did.
First.
Yeah, the results are totally acceptable if I do '-' as my line/marker.
The pdf renders and loads just fine.
If I do 'o' or even ',' as my marker, then the pdf is horrendously
slow. I'm talking minutes to render a page.
So, I tried your idea
nertskull writes:
> The problem, is the pdf is unbearably slow when plotting as a scatter plot
> or as a line with markers.
>
> If I make a regular line plot, with no markers, just a single line, it is
> plotted and the pdf is fine. But then it connects my points which I don't
> want.
Others ha
"""
The pyplot interface is generally preferred for non-interactive
plotting (i.e., scripting). The pylab interface is convenient for
interactive calculations and plotting, as it minimizes typing. Note
that this is what you get if you use the ipython shell with the -pylab
option, which imports ever
Hi Neal,
I always followed what has been written here:
http://matplotlib.org/faq/usage_faq.html#matplotlib-pylab-and-pyplot-how-are-they-related
And they said,
--
Matplotlib, pylab, and pyplot: how are they related?
Matplotlib is the whole package; pylab is a module in matplotl
This makes me wonder if you would be better served with something like
bokeh:
http://bokeh.pydata.org/
Cheers!
Ben Root
On Thu, May 1, 2014 at 9:28 AM, nertskull wrote:
> No we definitely aren't really interested in the gaps. Gaps are just where
> we were unable to collect the data.
>
> I d
No we definitely aren't really interested in the gaps. Gaps are just where
we were unable to collect the data.
I don't know if we can attach pictures to this thread or not, but I'm going
to try.
The attached is roughly what I want, but with all 750 as vectors.
I want to see the 'movement' of th
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Hash: SHA1
Hi,
when reading the number of points you have in each plot, I have to ask
why you need so many (plotted) data points. If you plot e.g. every
10th or 50th data point, you reduce the number of points by a factor
of 10 (or 50). This should make the PDF
What do you consider a gap?Perhaps if you know that you can find those in your
data and if you really want to visualize the gaps, plot those instead of the
data.
—
Sent from Mailbox
On Thu, May 1, 2014 at 2:41 PM, Alan G Isaac wrote:
> Suppose each data point is only 1 point (1/72 ") in diam
How about different line styles or colors instead of markers?—
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On Thu, May 1, 2014 at 2:10 PM, nertskull wrote:
> I am trying to create a multipage pdf of about 750 different graphs.
> Each graph has around 5,000 - 15,000 data points, giving me roughly 7
> million points across
On 5/1/2014 6:47 AM, Björn Opitz wrote:
> How would you create a figure as in
> "fig = plt.figure()", but without pyplot?
http://econpy.googlecode.com/svn/trunk/software4econ.xhtml#mpl-hints
hth,
Alan Isaac
--
"Accelera
Suppose each data point is only 1 point (1/72 ") in diameter.
A solid line across a 20" page is less than 1500 points.
You're using a fraction of a page per graph and trying to
plot 5,000-15,000 points per graph. This is pointless (pun
intended) for visual display, especially since you do not
care
I am trying to create a multipage pdf of about 750 different graphs.
Each graph has around 5,000 - 15,000 data points, giving me roughly 7
million points across the pdf. I make it in a large pdf with a page length
of about 20 inches, and then plot about 10 graphs to a page. So I end up
with basi
Dear all,
> Is there any good reason to move to the "native" mpl api and drop pyplot?
I notice I don't even understand this question, but I'd like to. From
http://matplotlib.org/faq/usage_faq.html#matplotlib-pylab-and-pyplot-how-are-they-related,
I see the difference between *pylab* and the pyplo
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