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🆕 index.ipynb
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@tkoyama010
tkoyama010 committed Jul 25, 2020
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{
"data": {
"text/plain": [
"<pyvirtualdisplay.display.Display at 0x7fb0856b7a60>"
"<pyvirtualdisplay.display.Display at 0x7fca74781cd0>"
]
},
"execution_count": 2,
Expand Down Expand Up @@ -374,152 +374,9 @@
"## plotting unstructured 3D mesh and data"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"# Examples\n",
"## plotting unstructured 3D mesh and data"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# development of meshioplt"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# What we can do in meshioplt\n",
"\n",
"We can read mesh file and write to AxesSubplot. We can use AxesSubplot as matplotlib's AxesSubplot"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"# development of meshioplt"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [],
"source": [
"from meshioplt import mesh_patches\n",
"\n",
"figure = plt.figure()\n",
"axe = figure.add_subplot(111)\n",
"patches = mesh_patches(\"m.vtk\")\n",
"for patch in patches:\n",
" axe.add_patch(patch)\n",
"axe.set_aspect(\"equal\")\n",
"plt.xlim(-1.0, 3.0)\n",
"plt.ylim(-1.0, 3.0)\n",
"plt.savefig(\"mesh.png\")\n",
"plt.close()"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import Image\n",
"Image(\"mesh.png\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"# development of meshioplt\n",
"\n",
"\n",
"<p align=\"center\">\n",
" <a href=\"https://github.com/nschloe/meshio\"><img alt=\"meshio\" src=\"https://nschloe.github.io/meshio/logo-with-text.svg\" width=\"40%\"></a>\n",
" <a href=\"https://upload.wikimedia.org/wikipedia/commons/c/c8/Love_Heart_symbol.svg\"><img alt=\"heart\" src=\"https://upload.wikimedia.org/wikipedia/commons/c/c8/Love_Heart_symbol.svg\" width=\"20%\"></a>\n",
" <a href=\"https://github.com/matplotlib/matplotlib\"><img alt=\"meshio\" src=\"https://matplotlib.org/_static/logo2.svg\" width=\"40%\"></a>\n",
"</p>"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Summary\n",
"- Introduction (1 min)\n",
"- Using library (4 min)\n",
"- Examples (4 min)\n",
"- Development of meshioplt (4 min)\n",
"- Summary (1 min)\n",
"- Questions and answers (1 min)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"# Questions and answers"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"slideshow": {
"slide_type": "notes"
Expand Down Expand Up @@ -653,7 +510,7 @@
},
{
"cell_type": "code",
"execution_count": 13,
"execution_count": 11,
"metadata": {
"slideshow": {
"slide_type": "slide"
Expand All @@ -665,13 +522,12 @@
"\n",
"mesh = meshio.read(\"tripod.vtk\")\n",
"vertices = mesh.points\n",
"#faces = mesh.cells[\"triangle\"]\n",
"faces = mesh.cells[0].data"
]
},
{
"cell_type": "code",
"execution_count": 14,
"execution_count": 12,
"metadata": {
"slideshow": {
"slide_type": "slide"
Expand Down Expand Up @@ -757,6 +613,149 @@
"ax.grid(True)\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"# Examples\n",
"## plotting unstructured 3D mesh and data"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# development of meshioplt"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# What we can do in meshioplt\n",
"\n",
"We can read mesh file and write to AxesSubplot. We can use AxesSubplot as matplotlib's AxesSubplot"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"# development of meshioplt"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"slideshow": {
"slide_type": "fragment"
}
},
"outputs": [],
"source": [
"from meshioplt import mesh_patches\n",
"\n",
"figure = plt.figure()\n",
"axe = figure.add_subplot(111)\n",
"patches = mesh_patches(\"m.vtk\")\n",
"for patch in patches:\n",
" axe.add_patch(patch)\n",
"axe.set_aspect(\"equal\")\n",
"plt.xlim(-1.0, 3.0)\n",
"plt.ylim(-1.0, 3.0)\n",
"plt.savefig(\"mesh.png\")\n",
"plt.close()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<IPython.core.display.Image object>"
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from IPython.display import Image\n",
"Image(\"mesh.png\")"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"# development of meshioplt\n",
"\n",
"\n",
"<p align=\"center\">\n",
" <a href=\"https://github.com/nschloe/meshio\"><img alt=\"meshio\" src=\"https://nschloe.github.io/meshio/logo-with-text.svg\" width=\"40%\"></a>\n",
" <a href=\"https://upload.wikimedia.org/wikipedia/commons/c/c8/Love_Heart_symbol.svg\"><img alt=\"heart\" src=\"https://upload.wikimedia.org/wikipedia/commons/c/c8/Love_Heart_symbol.svg\" width=\"20%\"></a>\n",
" <a href=\"https://github.com/matplotlib/matplotlib\"><img alt=\"meshio\" src=\"https://matplotlib.org/_static/logo2.svg\" width=\"40%\"></a>\n",
"</p>"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "slide"
}
},
"source": [
"# Summary\n",
"- Introduction (1 min)\n",
"- Using library (4 min)\n",
"- Examples (4 min)\n",
"- Development of meshioplt (4 min)\n",
"- Summary (1 min)\n",
"- Questions and answers (1 min)"
]
},
{
"cell_type": "markdown",
"metadata": {
"slideshow": {
"slide_type": "subslide"
}
},
"source": [
"# Questions and answers"
]
},
{
"cell_type": "code",
"execution_count": null,
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