gnuplot: Scripts for Scientific Computing.

By: Eduardo J. Sanchez - eduardo.sanchez at bsc.es

1. Description

A minimalistic suite of gnuplot scripts to visualize common results in scientific computing. These scripts are not intended to be a general solution to visualize every possible result. Instead these could be used as a starting point to construct tailored scripts for any data set.

gnuplot is not usually intended for high-performance visualization.

I collect these scripts here as I develop them for my own software library, the Mimetic Methods Toolkit (MTK).

2. Index of scripts

The scripts are classified according to the mathematical nature of the data they intend to plot. That is, some data is the result of a computation (computed data), and some data is used as a reference to check results (control data).

1. 1D scalar fields.

2. Control: 1d_scalar_field_control.gp

3. Computed: 1d_scalar_field_computed.gp

4. Comparison of control with computed: 1d_scalar_field_control_computed.gp

5. Comparison of multiple control: 1d_scalar_fields_control.gp

6. 1D vector fields.

7. Control: 1d_vector_field_control.gp

8. Computed: 1d_vector_field_computed.gp

9. 2D scalar fields.

10. Control: 2d_scalar_field_control.gp

11. Computed: 2d_scalar_field_computed.gp

12. Comparison of control with computed: 2d_scalar_field_control_computed.gp

13. 2D vector fields.

14. Control: 2d_vector_field_control.gp

15. 3D scalar fields.

16. Control: 3d_scalar_field_control.gp

17. Matrices.

18. Sparse matrix: sparse_matrix.gp

3. Tested architectures

So far, I have tested these scripts on this architecture:

1. Intel(R) Core(TM) i7-4600U CPU 2.10 GHz 4096 KB of cache and a stepping of 1.
   Linux 3.16.7-29-desktop #1 SMP PREEMPT (6be6a97) x86_64 GNU/Linux
   openSUSE 13.2 (Harlequin) (x86_64)
   gnuplot 4.6 patchlevel 5

4. Contact, support and credits

Feel free to contact me with suggestions or corrections:

Eduardo J. Sanchez - eduardo.sanchez at bsc.es - @ejspeiro

Thanks and happy rendering!