131 lines
2.7 KiB
Plaintext
131 lines
2.7 KiB
Plaintext
{
|
|
"cells": [
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"import astar.data as ad\n",
|
|
"import astar.visual as vis\n",
|
|
"import numpy as np"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Here we read data from the run directory"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"meshdir = \"/scratch/data/tchsu/sink_double/\"\n",
|
|
"#meshdir = \"/scratch/data/mvaisala/normaltest/\""
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"#imesh = 30000\n",
|
|
"imesh = 1000\n",
|
|
"mesh = ad.read.Mesh(imesh, fdir=meshdir)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Auxuliary variables"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"uu_tot = np.sqrt(mesh.uu[0]**2.0 + mesh.uu[1]**2.0 + mesh.uu[2]**2.0)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Example visualization funtion call. "
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {
|
|
"scrolled": true
|
|
},
|
|
"outputs": [],
|
|
"source": [
|
|
"vis.slices.plot_3(mesh, uu_tot, title = r'$\\|u\\|$')\n",
|
|
"vis.slices.plot_3(mesh, mesh.uu[0], title = r'$u_x$')\n",
|
|
"vis.slices.plot_3(mesh, mesh.uu[1], title = r'$u_y$')\n",
|
|
"vis.slices.plot_3(mesh, mesh.uu[2], title = r'$u_z$')\n",
|
|
"vis.slices.plot_3(mesh, mesh.lnrho, title = r'$\\ln_\\rho$')\n",
|
|
"vis.slices.plot_3(mesh, np.exp(mesh.lnrho), title = r'$\\rho$')\n",
|
|
"vis.slices.plot_3(mesh, np.exp(mesh.lnrho), title = r'$N_\\mathrm{col}$', slicetype = 'sum')\n",
|
|
"vis.slices.plot_3(mesh, mesh.ss, title = r'$s$')\n"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "markdown",
|
|
"metadata": {},
|
|
"source": [
|
|
"### Ploting time series"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"ts = ad.read.TimeSeries(fdir=meshdir)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": null,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"vis.lineplot.plot_ts(ts, lnrho=1, uutot=1, uux=1, uuy=1, uuz=1, ss=1)"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": "Python 3",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.7.3"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|