{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Example: RingMultiBunch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from opal.opal import load_dataset\n",
    "\n",
    "ds = load_dataset('./RingMultiBunch/', fname='RingMultiBunch.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print ( ds )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from opal.visualization.styles import load_style\n",
    "\n",
    "load_style('jupyter')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt = ds.plot_phase_space('x', 'y', xsci=True, ysci=True, step=3, bins=[0, 1])\n",
    "\n",
    "plt.legend(['bin 0', 'bin 1'], markerscale=10)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt = ds.plot_phase_space('x', 'z', xsci=True, ysci=True, step=3, bins=[0, 1])\n",
    "\n",
    "plt.legend(['bin 0', 'bin 1'], markerscale=10)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "try:\n",
    "    print ( \"Central moment:   \" + str(ds.moment('x', k=1, bunch=1, step=3)) )\n",
    "    \n",
    "    print ( \"Arithmetic mean:  \" + str(ds.mean('x', bunch=1, step=3)) )\n",
    "    \n",
    "    print ( \"Skewness:         \" + str(ds.skew('x', bunch=1, step=3)) )\n",
    "    \n",
    "    print ( \"Kurtosis:         \" + str(ds.kurtosis('x', bunch=1, step=3)) )\n",
    "    \n",
    "    print ( \"Halo:             \" + str(ds.halo_ellipsoidal_beam('x', bunch=1, step=3)) )\n",
    "    \n",
    "    print ( \"Halo (2D):        \" + str(ds.halo_2d_ellipsoidal_beam('x', bunch=1, step=3)) )\n",
    "    \n",
    "    print ( \"Radial halo:      \" + str(ds.radial_halo_ellipsoidal_beam(bunch=1, step=3)) )\n",
    "    \n",
    "    print ( \"Radial halo (2D): \" + str(ds.radial_halo_2d_ellipsoidal_beam(azimuth=110, bunch=1, step=3)) )\n",
    "except Exception as e:\n",
    "    print ( e )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "minima = ds.find_beams('x', step=3)[0]\n",
    "\n",
    "print ( minima )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "kde = ds.gaussian_kde('x', step=3)\n",
    "import numpy as np\n",
    "\n",
    "points = np.linspace(2.1, 2.3, 500)\n",
    "\n",
    "pdf = kde.pdf(points)\n",
    "\n",
    "plt.plot(points, pdf)\n",
    "plt.xlabel('x [m]')\n",
    "plt.ylabel('evaluated kde')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt = ds.plot_histogram('x', step=3, bins=600)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt = ds.plot_joint(xvar='x', yvar='y', join='contour', step=3)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt = ds.plot_joint(xvar='x', yvar='y', join='scatter', marginals='kde', step=3)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "help(ds.plot_joint)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt = ds.plot_joint(xvar='x', yvar='y', join='all', marginals='kde+hist', step=3)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt = ds.plot_density_scipy(xvar='x', yvar='y', step=3)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "plt = ds.plot_density(xvar='x', yvar='y', step=3)\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
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