Mailman 3 January 2020 - Matplotlib-users

GSOC 2020
by Utkarsh Bisaria March 22, 2020

March 22, 2020

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Display an Image in linear scale inside a log scale axis?
by Valentin Valls Jan. 24, 2020

Jan. 24, 2020

Hi, I would like to know if somehow, there is a way to display an image without distortion (then in linear scale) inside a matplotlib axis in logscale. Basically the location of the left and the right of my image have to be at a specific location in the log axis, but in between pixels must have the same size. Is somebody have an idea? It is not for a static rendering, then i would prefer to not have data processing, and only deal with item descriptions. But in the end i will do what i can. And we can't create a new axis on the plot. Thanks in advance.

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package needed to use Qt5Agg backend
by Slavin, Jonathan Jan. 22, 2020

Jan. 22, 2020

Hi, I've been using matplotlib with the Qt5Agg backend on my desktop for some time now using conda. I'm also running on NASA HPC systems and wanting to do analysis on their system without copying my data over. They have matplotlib installed but apparently not the package needed to use Qt5Agg as a backend. Can anyone tell me what package they would need to install for Qt5Agg to work? They use a module system (not to be confused with python modules!) whereby a whole set of packages are loaded (which I guess means that environment variables and paths are set) that make software available to use. This is common on high performance clusters. Regards, Jon -- Jonathan D. Slavin Astrophysicist - High Energy Astrophysics Division Center for Astrophysics | Harvard & Smithsonian Office: (617) 496-7981 | Cell: (781) 363-0035 60 Garden Street | MS 83 | Cambridge, MA 02138

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Running matplotlib on massively parallel compute resources
by Kevin Buckley Jan. 20, 2020

Jan. 20, 2020

We've recently seen an issue where someone running multiple instances of jobs on our supercomputer, all of which have a matplotlib component that thus runs on the compute nodes, rather than as part of any post-processing on our anciliary services. Some of these jobs ended up hanging and, in a number of cases, we have observed that the hanging process is what we belive to be the matplotlib- spawned fc-list --format=%{file}\n Is there anything, in the way that matplotlib is written, that might see race conditions, around access to the per-user font cache, or other matplotlib data, being created? Furthermore, is there a way that our users could define a per-job font cache directory, by using the job-ID, and thereby explcitly avoiding any inter-job interference resulting from their "massively parallel" matplotlib invocations? Here's hoping that matplotlib is the cause, and, if so, that there's an easy solution, when you know how to use matplotlib.

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