Updated to ubuntu 20.04, now, the boot time is ultra high.
Here is the image generated from the boot analysis:
➜ systemd-analyze plot > ~/SystemdAnalyzePlot.png
What is stalling the boot time? Can't figure it out from this picture..
For those who have tried to use stata under linux, probably already encountered some issues related to the icons and libpng12 library... while I could get those fixed and stata starts normally and display the icons, somehow, stata takes really long to plot a scatter plot with some 150.000 observations.
I first thought it was a issue with stata, but it works fine under manjaro (arch-based, with gnome 3.34.1).
I also tried multiple releases of stata (mp, se) and also multiple versions (14.2, 15, 15.1)... and the results are the same across all versions: works as expected in Manjaro and veeeery slow in Ubuntu.
- other than plotting, stata seems to run just as fast as in other systems.
- i first thought the issue was related to the libpng12 library. I installed this library in several ways, including using the binary from arch repository, from this ppa as in this tutorial and also manually from xenial's repo.
- also tried in elementaryOS (5.1) and ubuntu 16.04, so it is not a problem only with the 19.10 version.
anyone has any idea what else I could try?
edits (answering to questions)
- cpu: i5 5300U
- gpu: Intel HD Graphics 5500 (i think... definitely no dedicated chip)
- ram: 16gb
comment: with the same computer, it works fine on windows... (on other computer, older one with i5 from 2nd gen, works fine on manjaro)
if I
set graph off, the creation of the plot is normal, but if try to export it to png, it takes really long time (export to eps is rather quick).- while plotting, the Xorg process goes to 90~100% CPU usage (of 1 core). The same happens in wayland (but with XWayland process). Even if graph is not be displayed (window is hidden or when graph is set off and only being exported...)
- it affects several versions of stata (14, 15.1, 16)
As a university student, we have to solve some problems and class activity using a Windows app called Minitab, while I don't use any other operating system except Linux.
I installed GNU Octave and statistics package, but when I searched for any tutorial or manual I failed to find out how to plot charts like P chart, Z-MR chart, XBar-S, etc. with GNU Octave. I want to know if it's possible to accomplish the same tasks with GNU Octave for statistical analysis and plotting charts?
I've decided to setup a custom matplotlibrc, and thus I need to pick a backend for matplotlib. What is the best one in terms of not needing to install other additional packages?
I tend to use matplotlib via ipython --pylab, so I want interactive window based plots (when I don't I can switch to Agg).
I've tried WXAgg, but this requires (sensibly enough) WX.