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Deltares · Sep 2, 2024 · 521aeb3 · 521aeb3
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diff --git a/.doctrees/environment.pickle b/.doctrees/environment.pickle
diff --git a/.doctrees/examples/gmsh-basic.doctree b/.doctrees/examples/gmsh-basic.doctree
diff --git a/.doctrees/examples/gmsh-fields.doctree b/.doctrees/examples/gmsh-fields.doctree
diff --git a/.doctrees/examples/preprocessing.doctree b/.doctrees/examples/preprocessing.doctree
diff --git a/.doctrees/examples/sg_execution_times.doctree b/.doctrees/examples/sg_execution_times.doctree
diff --git a/.doctrees/examples/triangle-basic.doctree b/.doctrees/examples/triangle-basic.doctree
diff --git a/.doctrees/examples/triangle-geospatial.doctree b/.doctrees/examples/triangle-geospatial.doctree
diff --git a/.doctrees/sg_execution_times.doctree b/.doctrees/sg_execution_times.doctree
diff --git a/_downloads/5bc19a906f7aee7609a9fe736a8fcec5/preprocessing.py b/_downloads/5bc19a906f7aee7609a9fe736a8fcec5/preprocessing.py
@@ -63,7 +63,7 @@
 gdf = gpd.GeoDataFrame(geometry=[outer, inner])
 gdf["cellsize"] = [2.0, 1.0]
 
-fig, (ax0, ax1) = plt.subplots(ncols=2, figsize=(10, 5), sharex=True, sharey=True)
+fig, (ax0, ax1) = plt.subplots(ncols=2, sharex=True, sharey=True)
 gdf.iloc[[0]].plot(ax=ax0)
 gdf.iloc[[1]].plot(ax=ax1)
 
@@ -83,7 +83,7 @@
 #
 # The resulting geodataframe's geometries are valid planar partition:
 
-fig, (ax0, ax1) = plt.subplots(ncols=2, figsize=(10, 5), sharex=True, sharey=True)
+fig, (ax0, ax1) = plt.subplots(ncols=2, sharex=True, sharey=True)
 resolved.iloc[[0]].plot(ax=ax0)
 resolved.iloc[[1]].plot(ax=ax1)
 
@@ -102,7 +102,7 @@
 gdf = gpd.GeoDataFrame(geometry=[outer, inner0, inner1])
 gdf["cellsize"] = [2.0, 1.0, 1.0]
 
-fig, ax = plt.subplots(figsize=(5, 5))
+fig, ax = plt.subplots()
 gdf.plot(ax=ax, facecolor="none")
 # %%
 # These will also be resolved by ``.unify_polygons``.
@@ -115,7 +115,7 @@
 
 vertices, faces = pm.TriangleMesher(resolved).generate()
 
-fig, ax = plt.subplots(figsize=(5, 5))
+fig, ax = plt.subplots()
 pm.plot(vertices, faces, ax=ax)
 resolved.plot(ax=ax, facecolor="none", edgecolor="red")
 
@@ -132,7 +132,7 @@
 
 vertices, faces = pm.TriangleMesher(resolved).generate()
 
-fig, ax = plt.subplots(figsize=(5, 5))
+fig, ax = plt.subplots()
 pm.plot(vertices, faces, ax=ax)
 resolved.plot(ax=ax, facecolor="none", edgecolor="red")
 
@@ -166,14 +166,22 @@
 # %%
 # At x=10.0, the generated triangles are disconnected.
 #
-# We can clearly identify them:
+# This is caused by the the fact that the polygons do not share an edge:
+#
+# * The polygon on the left has an edge from (10.0, 0.0) to (10.0, 10.0)
+# * The polygon on the right has an edge from (10.0, 2.0) to (10.0, 8.0)
+#
+# In fact, the vertices of the right polygon are intersecting the (edge) of the
+# left polygon. We can identify these intersections with
+# :func:`pandamesh.find_edge_intersections`:
 
 intersections = pm.find_edge_intersections(gdf.geometry)
 
 fig, ax = plt.subplots()
 pm.plot(vertices, faces, ax=ax)
 intersections.plot(ax=ax)
 
+# %%
 # Calling ``.unify_polygons()`` ensures that the vertices of touching polygons
 # are inserted, such that the polygons share an edge.
 
@@ -186,7 +194,7 @@
 vertices, faces = pm.TriangleMesher(resolved).generate()
 polygon0_coords = shapely.get_coordinates(resolved.geometry[0])
 
-fig, ax = plt.subplots(figsize=(5, 5))
+fig, ax = plt.subplots()
 pm.plot(vertices, faces, ax=ax)
 ax.scatter(*polygon0_coords.T)
 
@@ -230,7 +238,7 @@
 gdf.plot(edgecolor="k")
 
 # %%
-# We can identify these problematic intersections using
+# We can identify these problematic intersections again using
 # :func:`pandamesh.find_edge_intersections`:
 
 intersections = pm.find_edge_intersections(gdf.geometry)
@@ -285,7 +293,7 @@
 vertices, faces = pm.GmshMesher(resolved).generate(finalize=True)
 polygon0_coords = shapely.get_coordinates(resolved.geometry[0])
 
-fig, ax = plt.subplots(figsize=(5, 5))
+fig, ax = plt.subplots()
 pm.plot(vertices, faces, ax=ax)
 ax.scatter(*polygon0_coords.T)
 
@@ -304,7 +312,7 @@
 vertices, faces = pm.GmshMesher(resolved).generate(finalize=True)
 polygon0_coords = shapely.get_coordinates(resolved.geometry[0])
 
-fig, ax = plt.subplots(figsize=(5, 5))
+fig, ax = plt.subplots()
 pm.plot(vertices, faces, ax=ax)
 resolved.plot(facecolor="none", edgecolor="red", ax=ax)
 ax.scatter(*polygon0_coords.T)
@@ -322,7 +330,7 @@
 
 vertices, faces = pm.GmshMesher(resolved).generate(finalize=True)
 
-fig, ax = plt.subplots(figsize=(5, 5))
+fig, ax = plt.subplots()
 pm.plot(vertices, faces, ax=ax)
 resolved.plot(facecolor="none", edgecolor="red", ax=ax)
 
@@ -344,7 +352,7 @@
 
 vertices, faces = pm.GmshMesher(resolved).generate(finalize=True)
 
-fig, ax = plt.subplots(figsize=(5, 5))
+fig, ax = plt.subplots()
 pm.plot(vertices, faces, ax=ax)
 resolved.plot(facecolor="none", edgecolor="red", ax=ax)
 
@@ -401,7 +409,7 @@
     .to_geodataframe()
 )
 
-check.plot(facecolor="none", edgecolor="red")
+check.plot(facecolor="none")
 
 # %%
 # This also makes it easy to apply the preprocessor in steps. Some steps may be

diff --git a/_downloads/79a425db58e6180cef408093f1ab28a8/preprocessing.zip b/_downloads/79a425db58e6180cef408093f1ab28a8/preprocessing.zip
diff --git a/_downloads/7a7ce2204255f277838397c00eecb9b7/gmsh-basic.zip b/_downloads/7a7ce2204255f277838397c00eecb9b7/gmsh-basic.zip
diff --git a/_downloads/8d89d0cac7b99393a56c43d6bed625ed/triangle-basic.zip b/_downloads/8d89d0cac7b99393a56c43d6bed625ed/triangle-basic.zip
diff --git a/_downloads/a977adb4611357edd665dfb42e7a7790/preprocessing.ipynb b/_downloads/a977adb4611357edd665dfb42e7a7790/preprocessing.ipynb
@@ -33,7 +33,7 @@
       },
       "outputs": [],
       "source": [
-        "outer = sg.Polygon(\n    [\n        [0.0, 0.0],\n        [10.0, 0.0],\n        [10.0, 10.0],\n        [0.0, 10.0],\n    ]\n)\ninner = sg.Polygon(\n    [\n        [5.0, 2.0],\n        [8.0, 5.0],\n        [5.0, 8.0],\n        [2.0, 5.0],\n    ]\n)\n\ngdf = gpd.GeoDataFrame(geometry=[outer, inner])\ngdf[\"cellsize\"] = [2.0, 1.0]\n\nfig, (ax0, ax1) = plt.subplots(ncols=2, figsize=(10, 5), sharex=True, sharey=True)\ngdf.iloc[[0]].plot(ax=ax0)\ngdf.iloc[[1]].plot(ax=ax1)"
+        "outer = sg.Polygon(\n    [\n        [0.0, 0.0],\n        [10.0, 0.0],\n        [10.0, 10.0],\n        [0.0, 10.0],\n    ]\n)\ninner = sg.Polygon(\n    [\n        [5.0, 2.0],\n        [8.0, 5.0],\n        [5.0, 8.0],\n        [2.0, 5.0],\n    ]\n)\n\ngdf = gpd.GeoDataFrame(geometry=[outer, inner])\ngdf[\"cellsize\"] = [2.0, 1.0]\n\nfig, (ax0, ax1) = plt.subplots(ncols=2, sharex=True, sharey=True)\ngdf.iloc[[0]].plot(ax=ax0)\ngdf.iloc[[1]].plot(ax=ax1)"
       ]
     },
     {
@@ -69,7 +69,7 @@
       },
       "outputs": [],
       "source": [
-        "fig, (ax0, ax1) = plt.subplots(ncols=2, figsize=(10, 5), sharex=True, sharey=True)\nresolved.iloc[[0]].plot(ax=ax0)\nresolved.iloc[[1]].plot(ax=ax1)"
+        "fig, (ax0, ax1) = plt.subplots(ncols=2, sharex=True, sharey=True)\nresolved.iloc[[0]].plot(ax=ax0)\nresolved.iloc[[1]].plot(ax=ax1)"
       ]
     },
     {
@@ -105,7 +105,7 @@
       },
       "outputs": [],
       "source": [
-        "inner0 = shapely.affinity.translate(inner, xoff=-1.0)\ninner1 = shapely.affinity.translate(inner, xoff=1.0)\ngdf = gpd.GeoDataFrame(geometry=[outer, inner0, inner1])\ngdf[\"cellsize\"] = [2.0, 1.0, 1.0]\n\nfig, ax = plt.subplots(figsize=(5, 5))\ngdf.plot(ax=ax, facecolor=\"none\")"
+        "inner0 = shapely.affinity.translate(inner, xoff=-1.0)\ninner1 = shapely.affinity.translate(inner, xoff=1.0)\ngdf = gpd.GeoDataFrame(geometry=[outer, inner0, inner1])\ngdf[\"cellsize\"] = [2.0, 1.0, 1.0]\n\nfig, ax = plt.subplots()\ngdf.plot(ax=ax, facecolor=\"none\")"
       ]
     },
     {
@@ -123,7 +123,7 @@
       },
       "outputs": [],
       "source": [
-        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .unify_polygons()\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.TriangleMesher(resolved).generate()\n\nfig, ax = plt.subplots(figsize=(5, 5))\npm.plot(vertices, faces, ax=ax)\nresolved.plot(ax=ax, facecolor=\"none\", edgecolor=\"red\")"
+        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .unify_polygons()\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.TriangleMesher(resolved).generate()\n\nfig, ax = plt.subplots()\npm.plot(vertices, faces, ax=ax)\nresolved.plot(ax=ax, facecolor=\"none\", edgecolor=\"red\")"
       ]
     },
     {
@@ -141,7 +141,7 @@
       },
       "outputs": [],
       "source": [
-        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .unify_polygons()\n    .merge_polygons()\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.TriangleMesher(resolved).generate()\n\nfig, ax = plt.subplots(figsize=(5, 5))\npm.plot(vertices, faces, ax=ax)\nresolved.plot(ax=ax, facecolor=\"none\", edgecolor=\"red\")"
+        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .unify_polygons()\n    .merge_polygons()\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.TriangleMesher(resolved).generate()\n\nfig, ax = plt.subplots()\npm.plot(vertices, faces, ax=ax)\nresolved.plot(ax=ax, facecolor=\"none\", edgecolor=\"red\")"
       ]
     },
     {
@@ -166,7 +166,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "At x=10.0, the generated triangles are disconnected.\n\nWe can clearly identify them:\n\n"
+        "At x=10.0, the generated triangles are disconnected.\n\nThis is caused by the the fact that the polygons do not share an edge:\n\n* The polygon on the left has an edge from (10.0, 0.0) to (10.0, 10.0)\n* The polygon on the right has an edge from (10.0, 2.0) to (10.0, 8.0)\n\nIn fact, the vertices of the right polygon are intersecting the (edge) of the\nleft polygon. We can identify these intersections with\n:func:`pandamesh.find_edge_intersections`:\n\n"
       ]
     },
     {
@@ -177,7 +177,25 @@
       },
       "outputs": [],
       "source": [
-        "intersections = pm.find_edge_intersections(gdf.geometry)\n\nfig, ax = plt.subplots()\npm.plot(vertices, faces, ax=ax)\nintersections.plot(ax=ax)\n\n# Calling ``.unify_polygons()`` ensures that the vertices of touching polygons\n# are inserted, such that the polygons share an edge.\n\nresolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .unify_polygons()\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.TriangleMesher(resolved).generate()\npolygon0_coords = shapely.get_coordinates(resolved.geometry[0])\n\nfig, ax = plt.subplots(figsize=(5, 5))\npm.plot(vertices, faces, ax=ax)\nax.scatter(*polygon0_coords.T)"
+        "intersections = pm.find_edge_intersections(gdf.geometry)\n\nfig, ax = plt.subplots()\npm.plot(vertices, faces, ax=ax)\nintersections.plot(ax=ax)"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "metadata": {},
+      "source": [
+        "Calling ``.unify_polygons()`` ensures that the vertices of touching polygons\nare inserted, such that the polygons share an edge.\n\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {
+        "collapsed": false
+      },
+      "outputs": [],
+      "source": [
+        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .unify_polygons()\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.TriangleMesher(resolved).generate()\npolygon0_coords = shapely.get_coordinates(resolved.geometry[0])\n\nfig, ax = plt.subplots()\npm.plot(vertices, faces, ax=ax)\nax.scatter(*polygon0_coords.T)"
       ]
     },
     {
@@ -202,7 +220,7 @@
       "cell_type": "markdown",
       "metadata": {},
       "source": [
-        "We can identify these problematic intersections using\n:func:`pandamesh.find_edge_intersections`:\n\n"
+        "We can identify these problematic intersections again using\n:func:`pandamesh.find_edge_intersections`:\n\n"
       ]
     },
     {
@@ -267,7 +285,7 @@
       },
       "outputs": [],
       "source": [
-        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .clip_lines()\n    .unify_lines()\n    .unify_polygons()\n    .merge_polygons()\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.GmshMesher(resolved).generate(finalize=True)\npolygon0_coords = shapely.get_coordinates(resolved.geometry[0])\n\nfig, ax = plt.subplots(figsize=(5, 5))\npm.plot(vertices, faces, ax=ax)\nax.scatter(*polygon0_coords.T)"
+        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .clip_lines()\n    .unify_lines()\n    .unify_polygons()\n    .merge_polygons()\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.GmshMesher(resolved).generate(finalize=True)\npolygon0_coords = shapely.get_coordinates(resolved.geometry[0])\n\nfig, ax = plt.subplots()\npm.plot(vertices, faces, ax=ax)\nax.scatter(*polygon0_coords.T)"
       ]
     },
     {
@@ -285,7 +303,7 @@
       },
       "outputs": [],
       "source": [
-        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .unify_lines()\n    .clip_lines(distance=0.5)\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.GmshMesher(resolved).generate(finalize=True)\npolygon0_coords = shapely.get_coordinates(resolved.geometry[0])\n\nfig, ax = plt.subplots(figsize=(5, 5))\npm.plot(vertices, faces, ax=ax)\nresolved.plot(facecolor=\"none\", edgecolor=\"red\", ax=ax)\nax.scatter(*polygon0_coords.T)"
+        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .unify_lines()\n    .clip_lines(distance=0.5)\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.GmshMesher(resolved).generate(finalize=True)\npolygon0_coords = shapely.get_coordinates(resolved.geometry[0])\n\nfig, ax = plt.subplots()\npm.plot(vertices, faces, ax=ax)\nresolved.plot(facecolor=\"none\", edgecolor=\"red\", ax=ax)\nax.scatter(*polygon0_coords.T)"
       ]
     },
     {
@@ -303,7 +321,7 @@
       },
       "outputs": [],
       "source": [
-        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .interpolate_lines_to_points(distance=0.25)\n    .clip_points()\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.GmshMesher(resolved).generate(finalize=True)\n\nfig, ax = plt.subplots(figsize=(5, 5))\npm.plot(vertices, faces, ax=ax)\nresolved.plot(facecolor=\"none\", edgecolor=\"red\", ax=ax)"
+        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .interpolate_lines_to_points(distance=0.25)\n    .clip_points()\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.GmshMesher(resolved).generate(finalize=True)\n\nfig, ax = plt.subplots()\npm.plot(vertices, faces, ax=ax)\nresolved.plot(facecolor=\"none\", edgecolor=\"red\", ax=ax)"
       ]
     },
     {
@@ -321,7 +339,7 @@
       },
       "outputs": [],
       "source": [
-        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .interpolate_lines_to_points(distance=0.25)\n    .clip_points(distance=0.5)\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.GmshMesher(resolved).generate(finalize=True)\n\nfig, ax = plt.subplots(figsize=(5, 5))\npm.plot(vertices, faces, ax=ax)\nresolved.plot(facecolor=\"none\", edgecolor=\"red\", ax=ax)"
+        "resolved = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .interpolate_lines_to_points(distance=0.25)\n    .clip_points(distance=0.5)\n    .to_geodataframe()\n).rename(columns={\"values\": \"cellsize\"})\n\nvertices, faces = pm.GmshMesher(resolved).generate(finalize=True)\n\nfig, ax = plt.subplots()\npm.plot(vertices, faces, ax=ax)\nresolved.plot(facecolor=\"none\", edgecolor=\"red\", ax=ax)"
       ]
     },
     {
@@ -375,7 +393,7 @@
       },
       "outputs": [],
       "source": [
-        "check = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .clip_points(distance=0.5)\n    .to_geodataframe()\n)\n\ncheck.plot(facecolor=\"none\", edgecolor=\"red\")"
+        "check = (\n    pm.Preprocessor(geometry=gdf.geometry, values=gdf.cellsize)\n    .clip_points(distance=0.5)\n    .to_geodataframe()\n)\n\ncheck.plot(facecolor=\"none\")"
       ]
     },
     {

diff --git a/_downloads/ae350e4fcfd5c3cf82fb43e401fc1d34/triangle-geospatial.zip b/_downloads/ae350e4fcfd5c3cf82fb43e401fc1d34/triangle-geospatial.zip
diff --git a/_downloads/d85ad210e21a91643987461e0d983111/gmsh-fields.zip b/_downloads/d85ad210e21a91643987461e0d983111/gmsh-fields.zip
diff --git a/_images/sphx_glr_preprocessing_001.png b/_images/sphx_glr_preprocessing_001.png
diff --git a/_images/sphx_glr_preprocessing_002.png b/_images/sphx_glr_preprocessing_002.png
diff --git a/_images/sphx_glr_preprocessing_004.png b/_images/sphx_glr_preprocessing_004.png
diff --git a/_images/sphx_glr_preprocessing_005.png b/_images/sphx_glr_preprocessing_005.png
diff --git a/_images/sphx_glr_preprocessing_006.png b/_images/sphx_glr_preprocessing_006.png
diff --git a/_images/sphx_glr_preprocessing_009.png b/_images/sphx_glr_preprocessing_009.png
diff --git a/_images/sphx_glr_preprocessing_014.png b/_images/sphx_glr_preprocessing_014.png
diff --git a/_images/sphx_glr_preprocessing_015.png b/_images/sphx_glr_preprocessing_015.png
diff --git a/_images/sphx_glr_preprocessing_016.png b/_images/sphx_glr_preprocessing_016.png
diff --git a/_images/sphx_glr_preprocessing_017.png b/_images/sphx_glr_preprocessing_017.png
diff --git a/_images/sphx_glr_preprocessing_018.png b/_images/sphx_glr_preprocessing_018.png
diff --git a/_images/sphx_glr_preprocessing_019.png b/_images/sphx_glr_preprocessing_019.png
diff --git a/_images/sphx_glr_preprocessing_020.png b/_images/sphx_glr_preprocessing_020.png
diff --git a/_images/sphx_glr_preprocessing_thumb.png b/_images/sphx_glr_preprocessing_thumb.png
diff --git a/_sources/examples/gmsh-basic.rst.txt b/_sources/examples/gmsh-basic.rst.txt
@@ -198,7 +198,7 @@ The GmshMesher class is initialized with a number of default parameters:
         yoff = 5.0
         fields = []
         combination_field = CombinationField(fields=[], combination=<FieldCombination.MIN: 'Min'>, id=1, fields_list=[])
-        tmpdir = <TemporaryDirectory '/tmp/tmptgc2lp3o'>
+        tmpdir = <TemporaryDirectory '/tmp/tmpkx3uy9va'>
         recombine_all = False
         mesh_size_extend_from_boundary = True
         mesh_size_from_points = True
@@ -327,7 +327,7 @@ polygons.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.355 seconds)
+   **Total running time of the script:** (0 minutes 0.368 seconds)
 
 
 .. _sphx_glr_download_examples_gmsh-basic.py:

diff --git a/_sources/examples/gmsh-fields.rst.txt b/_sources/examples/gmsh-fields.rst.txt
@@ -379,7 +379,7 @@ sizes in the lower left corner, and large cell sizes in the upper right:
  .. code-block:: none
 
 
-    <matplotlib.collections.PathCollection object at 0x7fa0c97a1910>
+    <matplotlib.collections.PathCollection object at 0x7ff9cf85dd30>
 
 
 
@@ -451,7 +451,7 @@ specification, we need to take care to ensure values remain > 0.
 
 .. rst-class:: sphx-glr-timing
 
-   **Total running time of the script:** (0 minutes 0.673 seconds)
+   **Total running time of the script:** (0 minutes 0.718 seconds)
 
 
 .. _sphx_glr_download_examples_gmsh-fields.py: