Hi matplotlib users and developers,
I am trying to run a web application using matplotlib in a memory constrained
environment. I have therefore tried to figure out what memory overhead
matplotlib incurs. When I run the following method prior to and after importing
pylab and matplotlib respectiv
Hi matplotlib-users,
I have an application in which regions that are not known beforehand are
defined and plotted. When the application plots a region a Basemap instance is
created. My datasets define longitudes from 0 to 360. When regions cross the
Greenwich meridian I try to make a Basemap l
Jim Vickroy wrote:
>Thanks for the detailed explanation; I may be starting to understand the
>significance of *figure*.
>I was hoping to avoid repeated calls like map.drawcoastlines(),
>map.drawcountries(), map.fillcontinents(color='0.95'),
>map.drawmapboundary(), map.drawmeridians(plot.arange(
Hi,
When I try to plot a time series of numpy masked array data containing 2 values
and with one of them masked out my machine chokes (memory usage of more than
900 mb for the script below). The culprit seem to be my use of use the
matplotlib.dates.HourLocator on the x axis.
Here is a small sc
Hi Zane,
>This all seems to suggest to me, after a little poking around, that the
>NetCDF file format would be good. I've managed to get SciPy and
>Matplotlib and Basemap installed and apparently working together
>happily... but I can't seem to find any "official" module within that
>structur
