gmsh_api

simple package to use gmsh via the original gmsh_api (https://gitlab.onelab.info/gmsh/gmsh/blob/master/api/gmsh.py, https://gmsh.info/bin/Linux/gmsh-X.Y.Z-Linux64-sdk.tgz).

https://gmsh.info/bin/Linux/

Christophe Geuzaine is a hero.

Usage

# gmsh_api package with some useful classes 
import gmsh_api
# original gmsh-api from gmsh package
import gmsh_api.gmsh as gmsh

gmsh.initialize()

gmsh.option.setNumber("General.Terminal", 1)
gmsh.option.setNumber("Mesh.Algorithm", 5) # delquad
gmsh.option.setNumber("Mesh.RecombineAll", 1)

gmsh.model.add("square")
gmsh.model.geo.addPoint(0, 0, 0, 0.6, 1)
gmsh.model.geo.addPoint(1, 0, 0, 0.6, 2)
gmsh.model.geo.addPoint(1, 1, 0, 0.5, 3)
gmsh.model.geo.addPoint(0, 1, 0, 0.4, 4)
gmsh.model.geo.addLine(1, 2, 1)
gmsh.model.geo.addLine(2, 3, 2)
gmsh.model.geo.addLine(3, 4, 3)

# try automatic assignement of tag
line4 = gmsh.model.geo.addLine(4, 1)
gmsh.model.geo.addCurveLoop([1, 2, 3, line4], 1)
gmsh.model.geo.addPlaneSurface([1], 6)
gmsh.model.geo.synchronize()
gmsh.model.mesh.generate(2)
#gmsh.write("square.unv")

mesh = gmsh_api.Mesh.from_gmsh(gmsh)
print(mesh.nodes)
print(mesh.elements)

Store mesh properties with pandas dataframes!

mesh.nodes

      nid         x         y    z
 1      1  0         0           0
 2      2  1         0           0
 3      3  1         1           0
 4      4  0         1           0
 5      5  0.5       0           0
 6      6  1         0.522774    0
 7      7  0.728708  1           0
 8      8  0.472136  1           0
 9      9  0.229485  1           0
10     10  0         0.786636    0
11     11  0         0.55051     0
12     12  0         0.289194    0
13     13  0.267268  0.304987    0
14     14  0.703727  0.740444    0
15     15  0.387068  0.62141     0
16     16  0.637319  0.370788    0
17     17  0.189356  0.818467    0

mesh.elements

      pid    elid  type      n_nodes  nodes                 nidxs
 0      1      17  shell4          4  [9L, 17L, 15L, 8L]    [9L, 17L, 15L, 8L]
 1      1      18  shell4          4  [15L, 17L, 10L, 11L]  [15L, 17L, 10L, 11L]
 2      1      19  shell4          4  [10L, 17L, 9L, 4L]    [10L, 17L, 9L, 4L]
 3      1      20  shell4          4  [5L, 16L, 15L, 13L]   [5L, 16L, 15L, 13L]
 4      1      21  shell4          4  [6L, 14L, 15L, 16L]   [6L, 14L, 15L, 16L]
 5      1      22  shell4          4  [6L, 16L, 5L, 2L]     [6L, 16L, 5L, 2L]
 6      1      23  shell4          4  [15L, 14L, 7L, 8L]    [15L, 14L, 7L, 8L]
 7      1      24  shell4          4  [15L, 11L, 12L, 13L]  [15L, 11L, 12L, 13L]
 8      1      25  shell4          4  [5L, 13L, 12L, 1L]    [5L, 13L, 12L, 1L]
 9      1      26  shell4          4  [6L, 3L, 7L, 14L]     [6L, 3L, 7L, 14L]