plots.ipynb

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  {
   "cell_type": "code",
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   "outputs": [],
   "source": [
    "import plots"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Fluxes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = plots.benchmark('fluxes', '60lev', ymin=0.4, server='uriah')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = plots.benchmark('fluxes', '60lev', ncols=2, ymin=0.4, ymax=100, server='cheyenne4')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dimension slicing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = plots.benchmark('slice', '60lev', ncols=4, ymin=0.05, ymax=8, server='uriah')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Interpolation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = plots.benchmark('isentropes', '60lev', ncols=4, ymin=0.8, ymax=150, server='uriah')"
   ]
  }
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