I wrote a bunch of graph scripts for creating on-the-fly line plots with
django. Since I'm running the site on a low memory VPS, I need to run apache
in multi-threaded mode, which means all my code needs to be thread-safe. I
was using Pyplot a lot, which is not thread-safe. A solution I came up
http://pastebin.com/f7fba9f61
I wrote this little snippet to automatically format the X axis of a line
plot I created with a dynamic range. It's not completely 100% perfect, but I
thought Id just post this here is anyone wants to use it, or maybe even
knows of another method to create the same
I'm trying to create a dynamically generated png of an arbitrary number of
barplots. The height of the png should correspond with the number of plots
that are made. In jpGraph this is very easy. All you have to do is set the
height of the image to top-margin + (number_of_bars * width_of_bars) +
, copyright, credits or license for more information.
(InteractiveConsole)
from mpl_toolkits.basemap import Basemap
/home/nbv4/lib/python2.6/dbflib/dbflib.py:2: RuntimeWarning: Python C API
version mismatch for module dbflibc: This Python has API version 1013,
module dbflibc has version 1012.
import
I have a large array that looks like this:
vals=[0,0,1,3,2,1,0,4,2,4,2...]
dates = [datetime.date(...), datetime.date(...)...]
which then is transformed into a cumsum:
acc_vals = np.cumsum(vals)
and then that is sent to maplotlib to be graphed. The resultant graph looks
like this:
Hi, I am a new user to matplotlib. I have a huge list of values that look
like this:
[1,0,0,0,2,3,2,1,0,0,0,2,2,1,3,0,0,3...]
each point basically represents the derivative of the line at that point, if
that makes any sense. I want to take this data and display it in a linegraph
as if it were
Jouni K. Seppänen wrote:
nbv4 cp368...@ohiou.edu writes:
[1,0,0,0,2,3,2,1,0,0,0,2,2,1,3,0,0,3...]
[...] I want to take this data and display it in a linegraph
as if it were this data:
[1,1,1,1,3,5,7,8,8,8,10,12,13,16,16,16,19,...]
You can use numpy.cumsum to transform your data
