petscplot | Plot convergence rates and scalability from output logs

petscplot is a Python library. petscplot has no bugs, it has no vulnerabilities and it has low support. However petscplot build file is not available. You can download it from GitHub.

petscplot is a simple tool for plotting convergence rates and scalability from output logs of petsc programs. python-2.5 or later: numpy: matplotlib: [read the doc strings, they are more likely to be up-to-date. also run with -help.]. run your program with -{ksp,snes}_{monitor,converged_reason} and redirect the output into a file, perhaps for multiple problem sizes, or on different machines. if you want timing information, also use -log_summary. note: currently the problem size parsing is specific to src/snes/examples/tutorials/ex48, it really needs to be made generic, but that requires the user to write a small code snippet to parse their header. then pass series of log files to petscplot, as in the following examples. petscplot -t algorithmic foo{2,3,4,5,6}.log : bar{2,3,4,5,6}.log. plots