{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting the data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, import the necessary packages\n",
    "(skip this step if they're already downloaded)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "!{sys.executable} -m pip install --quiet wnutils"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now import the package to check for and retrieve the data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os.path\n",
    "from os import path"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If the data do not exist, retrieve and unpack them by running the code block below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "if not path.exists('wnutils_tutorial_data.tar.gz'):\n",
    "    !curl -O -J -L -s https://osf.io/2a4kh/download\n",
    "    !tar -zxf wnutils_tutorials_data.tar.gz"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you have read in the various data from a webnucleo file, you can plot them using matplotlib. For example, to plot the abundance of Z=28 nuclei in *my_output1.xml* as a function of time, you can type in Python:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import wnutils.xml as wx\n",
    "my_xml = wx.Xml('my_output1.xml')\n",
    "props = my_xml.get_properties_as_floats(['time'])\n",
    "yz = my_xml.get_abundances_vs_nucleon_number(nucleon='z')\n",
    "plt.plot(props['time'],yz[:,28])\n",
    "plt.xscale('log')\n",
    "plt.xlim([1.e-14,1.])\n",
    "plt.ylim([0.,0.0014])\n",
    "plt.xlabel('time (s)')\n",
    "plt.ylabel('Y(28)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Of course you can also write a Python file (called, say, my_plot.py) with the above lines and execute it by typing *python my_plot.py*.\n",
    "\n",
    "While it is always possible to make such plots with data read in with *wnutils* routines, we have written several plotting methods for commonly made plots. The rest of this tutorial demonstrates how to use these methods."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting RcParams "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All the plotting methods accept RcParams as keywords. These can be entered as a key and value pair or as a dictionary of **[matplotlib.RcParams](https://matplotlib.org/api/matplotlib_configuration_api.html#matplotlib.RcParams)**. You can print the list of parameters (and their default values) that can be set by running:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "KeysView(RcParams({'_internal.classic_mode': False,\n",
      "          'agg.path.chunksize': 0,\n",
      "          'animation.avconv_args': [],\n",
      "          'animation.avconv_path': 'avconv',\n",
      "          'animation.bitrate': -1,\n",
      "          'animation.codec': 'h264',\n",
      "          'animation.convert_args': [],\n",
      "          'animation.convert_path': 'convert',\n",
      "          'animation.embed_limit': 20.0,\n",
      "          'animation.ffmpeg_args': [],\n",
      "          'animation.ffmpeg_path': 'ffmpeg',\n",
      "          'animation.frame_format': 'png',\n",
      "          'animation.html': 'none',\n",
      "          'animation.html_args': [],\n",
      "          'animation.writer': 'ffmpeg',\n",
      "          'axes.autolimit_mode': 'data',\n",
      "          'axes.axisbelow': 'line',\n",
      "          'axes.edgecolor': 'black',\n",
      "          'axes.facecolor': 'white',\n",
      "          'axes.formatter.limits': [-5, 6],\n",
      "          'axes.formatter.min_exponent': 0,\n",
      "          'axes.formatter.offset_threshold': 4,\n",
      "          'axes.formatter.use_locale': False,\n",
      "          'axes.formatter.use_mathtext': False,\n",
      "          'axes.formatter.useoffset': True,\n",
      "          'axes.grid': False,\n",
      "          'axes.grid.axis': 'both',\n",
      "          'axes.grid.which': 'major',\n",
      "          'axes.labelcolor': 'black',\n",
      "          'axes.labelpad': 4.0,\n",
      "          'axes.labelsize': 'medium',\n",
      "          'axes.labelweight': 'normal',\n",
      "          'axes.linewidth': 0.8,\n",
      "          'axes.prop_cycle': cycler('color', ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b', '#e377c2', '#7f7f7f', '#bcbd22', '#17becf']),\n",
      "          'axes.spines.bottom': True,\n",
      "          'axes.spines.left': True,\n",
      "          'axes.spines.right': True,\n",
      "          'axes.spines.top': True,\n",
      "          'axes.titlecolor': 'auto',\n",
      "          'axes.titlelocation': 'center',\n",
      "          'axes.titlepad': 6.0,\n",
      "          'axes.titlesize': 'large',\n",
      "          'axes.titleweight': 'normal',\n",
      "          'axes.titley': None,\n",
      "          'axes.unicode_minus': True,\n",
      "          'axes.xmargin': 0.05,\n",
      "          'axes.ymargin': 0.05,\n",
      "          'axes.zmargin': 0.05,\n",
      "          'axes3d.grid': True,\n",
      "          'backend': 'module://ipykernel.pylab.backend_inline',\n",
      "          'backend_fallback': True,\n",
      "          'boxplot.bootstrap': None,\n",
      "          'boxplot.boxprops.color': 'black',\n",
      "          'boxplot.boxprops.linestyle': '-',\n",
      "          'boxplot.boxprops.linewidth': 1.0,\n",
      "          'boxplot.capprops.color': 'black',\n",
      "          'boxplot.capprops.linestyle': '-',\n",
      "          'boxplot.capprops.linewidth': 1.0,\n",
      "          'boxplot.flierprops.color': 'black',\n",
      "          'boxplot.flierprops.linestyle': 'none',\n",
      "          'boxplot.flierprops.linewidth': 1.0,\n",
      "          'boxplot.flierprops.marker': 'o',\n",
      "          'boxplot.flierprops.markeredgecolor': 'black',\n",
      "          'boxplot.flierprops.markeredgewidth': 1.0,\n",
      "          'boxplot.flierprops.markerfacecolor': 'none',\n",
      "          'boxplot.flierprops.markersize': 6.0,\n",
      "          'boxplot.meanline': False,\n",
      "          'boxplot.meanprops.color': 'C2',\n",
      "          'boxplot.meanprops.linestyle': '--',\n",
      "          'boxplot.meanprops.linewidth': 1.0,\n",
      "          'boxplot.meanprops.marker': '^',\n",
      "          'boxplot.meanprops.markeredgecolor': 'C2',\n",
      "          'boxplot.meanprops.markerfacecolor': 'C2',\n",
      "          'boxplot.meanprops.markersize': 6.0,\n",
      "          'boxplot.medianprops.color': 'C1',\n",
      "          'boxplot.medianprops.linestyle': '-',\n",
      "          'boxplot.medianprops.linewidth': 1.0,\n",
      "          'boxplot.notch': False,\n",
      "          'boxplot.patchartist': False,\n",
      "          'boxplot.showbox': True,\n",
      "          'boxplot.showcaps': True,\n",
      "          'boxplot.showfliers': True,\n",
      "          'boxplot.showmeans': False,\n",
      "          'boxplot.vertical': True,\n",
      "          'boxplot.whiskerprops.color': 'black',\n",
      "          'boxplot.whiskerprops.linestyle': '-',\n",
      "          'boxplot.whiskerprops.linewidth': 1.0,\n",
      "          'boxplot.whiskers': 1.5,\n",
      "          'contour.corner_mask': True,\n",
      "          'contour.linewidth': None,\n",
      "          'contour.negative_linestyle': 'dashed',\n",
      "          'date.autoformatter.day': '%Y-%m-%d',\n",
      "          'date.autoformatter.hour': '%m-%d %H',\n",
      "          'date.autoformatter.microsecond': '%M:%S.%f',\n",
      "          'date.autoformatter.minute': '%d %H:%M',\n",
      "          'date.autoformatter.month': '%Y-%m',\n",
      "          'date.autoformatter.second': '%H:%M:%S',\n",
      "          'date.autoformatter.year': '%Y',\n",
      "          'date.converter': None,\n",
      "          'date.epoch': '1970-01-01T00:00:00',\n",
      "          'date.interval_multiples': None,\n",
      "          'docstring.hardcopy': False,\n",
      "          'errorbar.capsize': 0.0,\n",
      "          'figure.autolayout': False,\n",
      "          'figure.constrained_layout.h_pad': 0.04167,\n",
      "          'figure.constrained_layout.hspace': 0.02,\n",
      "          'figure.constrained_layout.use': False,\n",
      "          'figure.constrained_layout.w_pad': 0.04167,\n",
      "          'figure.constrained_layout.wspace': 0.02,\n",
      "          'figure.dpi': 72.0,\n",
      "          'figure.edgecolor': (1, 1, 1, 0),\n",
      "          'figure.facecolor': (1, 1, 1, 0),\n",
      "          'figure.figsize': [6.0, 4.0],\n",
      "          'figure.frameon': True,\n",
      "          'figure.max_open_warning': 20,\n",
      "          'figure.raise_window': True,\n",
      "          'figure.subplot.bottom': 0.125,\n",
      "          'figure.subplot.hspace': 0.2,\n",
      "          'figure.subplot.left': 0.125,\n",
      "          'figure.subplot.right': 0.9,\n",
      "          'figure.subplot.top': 0.88,\n",
      "          'figure.subplot.wspace': 0.2,\n",
      "          'figure.titlesize': 'large',\n",
      "          'figure.titleweight': 'normal',\n",
      "          'font.cursive': ['Apple Chancery',\n",
      "                           'Textile',\n",
      "                           'Zapf Chancery',\n",
      "                           'Sand',\n",
      "                           'Script MT',\n",
      "                           'Felipa',\n",
      "                           'Comic Neue',\n",
      "                           'Comic Sans MS',\n",
      "                           'cursive'],\n",
      "          'font.family': ['sans-serif'],\n",
      "          'font.fantasy': ['Chicago',\n",
      "                           'Charcoal',\n",
      "                           'Impact',\n",
      "                           'Western',\n",
      "                           'Humor Sans',\n",
      "                           'xkcd',\n",
      "                           'fantasy'],\n",
      "          'font.monospace': ['DejaVu Sans Mono',\n",
      "                             'Bitstream Vera Sans Mono',\n",
      "                             'Computer Modern Typewriter',\n",
      "                             'Andale Mono',\n",
      "                             'Nimbus Mono L',\n",
      "                             'Courier New',\n",
      "                             'Courier',\n",
      "                             'Fixed',\n",
      "                             'Terminal',\n",
      "                             'monospace'],\n",
      "          'font.sans-serif': ['DejaVu Sans',\n",
      "                              'Bitstream Vera Sans',\n",
      "                              'Computer Modern Sans Serif',\n",
      "                              'Lucida Grande',\n",
      "                              'Verdana',\n",
      "                              'Geneva',\n",
      "                              'Lucid',\n",
      "                              'Arial',\n",
      "                              'Helvetica',\n",
      "                              'Avant Garde',\n",
      "                              'sans-serif'],\n",
      "          'font.serif': ['DejaVu Serif',\n",
      "                         'Bitstream Vera Serif',\n",
      "                         'Computer Modern Roman',\n",
      "                         'New Century Schoolbook',\n",
      "                         'Century Schoolbook L',\n",
      "                         'Utopia',\n",
      "                         'ITC Bookman',\n",
      "                         'Bookman',\n",
      "                         'Nimbus Roman No9 L',\n",
      "                         'Times New Roman',\n",
      "                         'Times',\n",
      "                         'Palatino',\n",
      "                         'Charter',\n",
      "                         'serif'],\n",
      "          'font.size': 10.0,\n",
      "          'font.stretch': 'normal',\n",
      "          'font.style': 'normal',\n",
      "          'font.variant': 'normal',\n",
      "          'font.weight': 'normal',\n",
      "          'grid.alpha': 1.0,\n",
      "          'grid.color': '#b0b0b0',\n",
      "          'grid.linestyle': '-',\n",
      "          'grid.linewidth': 0.8,\n",
      "          'hatch.color': 'black',\n",
      "          'hatch.linewidth': 1.0,\n",
      "          'hist.bins': 10,\n",
      "          'image.aspect': 'equal',\n",
      "          'image.cmap': 'viridis',\n",
      "          'image.composite_image': True,\n",
      "          'image.interpolation': 'antialiased',\n",
      "          'image.lut': 256,\n",
      "          'image.origin': 'upper',\n",
      "          'image.resample': True,\n",
      "          'interactive': True,\n",
      "          'keymap.all_axes': ['a'],\n",
      "          'keymap.back': ['left', 'c', 'backspace', 'MouseButton.BACK'],\n",
      "          'keymap.copy': ['ctrl+c', 'cmd+c'],\n",
      "          'keymap.forward': ['right', 'v', 'MouseButton.FORWARD'],\n",
      "          'keymap.fullscreen': ['f', 'ctrl+f'],\n",
      "          'keymap.grid': ['g'],\n",
      "          'keymap.grid_minor': ['G'],\n",
      "          'keymap.help': ['f1'],\n",
      "          'keymap.home': ['h', 'r', 'home'],\n",
      "          'keymap.pan': ['p'],\n",
      "          'keymap.quit': ['ctrl+w', 'cmd+w', 'q'],\n",
      "          'keymap.quit_all': [],\n",
      "          'keymap.save': ['s', 'ctrl+s'],\n",
      "          'keymap.xscale': ['k', 'L'],\n",
      "          'keymap.yscale': ['l'],\n",
      "          'keymap.zoom': ['o'],\n",
      "          'legend.borderaxespad': 0.5,\n",
      "          'legend.borderpad': 0.4,\n",
      "          'legend.columnspacing': 2.0,\n",
      "          'legend.edgecolor': '0.8',\n",
      "          'legend.facecolor': 'inherit',\n",
      "          'legend.fancybox': True,\n",
      "          'legend.fontsize': 'medium',\n",
      "          'legend.framealpha': 0.8,\n",
      "          'legend.frameon': True,\n",
      "          'legend.handleheight': 0.7,\n",
      "          'legend.handlelength': 2.0,\n",
      "          'legend.handletextpad': 0.8,\n",
      "          'legend.labelspacing': 0.5,\n",
      "          'legend.loc': 'best',\n",
      "          'legend.markerscale': 1.0,\n",
      "          'legend.numpoints': 1,\n",
      "          'legend.scatterpoints': 1,\n",
      "          'legend.shadow': False,\n",
      "          'legend.title_fontsize': None,\n",
      "          'lines.antialiased': True,\n",
      "          'lines.color': 'C0',\n",
      "          'lines.dash_capstyle': <CapStyle.butt: 'butt'>,\n",
      "          'lines.dash_joinstyle': <JoinStyle.round: 'round'>,\n",
      "          'lines.dashdot_pattern': [6.4, 1.6, 1.0, 1.6],\n",
      "          'lines.dashed_pattern': [3.7, 1.6],\n",
      "          'lines.dotted_pattern': [1.0, 1.65],\n",
      "          'lines.linestyle': '-',\n",
      "          'lines.linewidth': 1.5,\n",
      "          'lines.marker': 'None',\n",
      "          'lines.markeredgecolor': 'auto',\n",
      "          'lines.markeredgewidth': 1.0,\n",
      "          'lines.markerfacecolor': 'auto',\n",
      "          'lines.markersize': 6.0,\n",
      "          'lines.scale_dashes': True,\n",
      "          'lines.solid_capstyle': <CapStyle.projecting: 'projecting'>,\n",
      "          'lines.solid_joinstyle': <JoinStyle.round: 'round'>,\n",
      "          'markers.fillstyle': 'full',\n",
      "          'mathtext.bf': 'sans:bold',\n",
      "          'mathtext.cal': 'cursive',\n",
      "          'mathtext.default': 'it',\n",
      "          'mathtext.fallback': 'cm',\n",
      "          'mathtext.fallback_to_cm': None,\n",
      "          'mathtext.fontset': 'dejavusans',\n",
      "          'mathtext.it': 'sans:italic',\n",
      "          'mathtext.rm': 'sans',\n",
      "          'mathtext.sf': 'sans',\n",
      "          'mathtext.tt': 'monospace',\n",
      "          'patch.antialiased': True,\n",
      "          'patch.edgecolor': 'black',\n",
      "          'patch.facecolor': 'C0',\n",
      "          'patch.force_edgecolor': False,\n",
      "          'patch.linewidth': 1.0,\n",
      "          'path.effects': [],\n",
      "          'path.simplify': True,\n",
      "          'path.simplify_threshold': 0.111111111111,\n",
      "          'path.sketch': None,\n",
      "          'path.snap': True,\n",
      "          'pcolor.shading': 'flat',\n",
      "          'pcolormesh.snap': True,\n",
      "          'pdf.compression': 6,\n",
      "          'pdf.fonttype': 3,\n",
      "          'pdf.inheritcolor': False,\n",
      "          'pdf.use14corefonts': False,\n",
      "          'pgf.preamble': '',\n",
      "          'pgf.rcfonts': True,\n",
      "          'pgf.texsystem': 'xelatex',\n",
      "          'polaraxes.grid': True,\n",
      "          'ps.distiller.res': 6000,\n",
      "          'ps.fonttype': 3,\n",
      "          'ps.papersize': 'letter',\n",
      "          'ps.useafm': False,\n",
      "          'ps.usedistiller': None,\n",
      "          'savefig.bbox': None,\n",
      "          'savefig.directory': '~',\n",
      "          'savefig.dpi': 'figure',\n",
      "          'savefig.edgecolor': 'auto',\n",
      "          'savefig.facecolor': 'auto',\n",
      "          'savefig.format': 'png',\n",
      "          'savefig.jpeg_quality': 95,\n",
      "          'savefig.orientation': 'portrait',\n",
      "          'savefig.pad_inches': 0.1,\n",
      "          'savefig.transparent': False,\n",
      "          'scatter.edgecolors': 'face',\n",
      "          'scatter.marker': 'o',\n",
      "          'svg.fonttype': 'path',\n",
      "          'svg.hashsalt': None,\n",
      "          'svg.image_inline': True,\n",
      "          'text.antialiased': True,\n",
      "          'text.color': 'black',\n",
      "          'text.hinting': 'force_autohint',\n",
      "          'text.hinting_factor': 8,\n",
      "          'text.kerning_factor': 0,\n",
      "          'text.latex.preamble': '',\n",
      "          'text.latex.preview': False,\n",
      "          'text.usetex': False,\n",
      "          'timezone': 'UTC',\n",
      "          'tk.window_focus': False,\n",
      "          'toolbar': 'toolbar2',\n",
      "          'webagg.address': '127.0.0.1',\n",
      "          'webagg.open_in_browser': True,\n",
      "          'webagg.port': 8988,\n",
      "          'webagg.port_retries': 50,\n",
      "          'xaxis.labellocation': 'center',\n",
      "          'xtick.alignment': 'center',\n",
      "          'xtick.bottom': True,\n",
      "          'xtick.color': 'black',\n",
      "          'xtick.direction': 'out',\n",
      "          'xtick.labelbottom': True,\n",
      "          'xtick.labelcolor': 'inherit',\n",
      "          'xtick.labelsize': 'medium',\n",
      "          'xtick.labeltop': False,\n",
      "          'xtick.major.bottom': True,\n",
      "          'xtick.major.pad': 3.5,\n",
      "          'xtick.major.size': 3.5,\n",
      "          'xtick.major.top': True,\n",
      "          'xtick.major.width': 0.8,\n",
      "          'xtick.minor.bottom': True,\n",
      "          'xtick.minor.pad': 3.4,\n",
      "          'xtick.minor.size': 2.0,\n",
      "          'xtick.minor.top': True,\n",
      "          'xtick.minor.visible': False,\n",
      "          'xtick.minor.width': 0.6,\n",
      "          'xtick.top': False,\n",
      "          'yaxis.labellocation': 'center',\n",
      "          'ytick.alignment': 'center_baseline',\n",
      "          'ytick.color': 'black',\n",
      "          'ytick.direction': 'out',\n",
      "          'ytick.labelcolor': 'inherit',\n",
      "          'ytick.labelleft': True,\n",
      "          'ytick.labelright': False,\n",
      "          'ytick.labelsize': 'medium',\n",
      "          'ytick.left': True,\n",
      "          'ytick.major.left': True,\n",
      "          'ytick.major.pad': 3.5,\n",
      "          'ytick.major.right': True,\n",
      "          'ytick.major.size': 3.5,\n",
      "          'ytick.major.width': 0.8,\n",
      "          'ytick.minor.left': True,\n",
      "          'ytick.minor.pad': 3.4,\n",
      "          'ytick.minor.right': True,\n",
      "          'ytick.minor.size': 2.0,\n",
      "          'ytick.minor.visible': False,\n",
      "          'ytick.minor.width': 0.6,\n",
      "          'ytick.right': False}))\n"
     ]
    }
   ],
   "source": [
    "import wnutils.base as wnb\n",
    "wb = wnb.Base()\n",
    "wb.list_rcParams()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the Base class is inherited by the other wnutils classes, the *list_rcParams()* method is available from any class instance.\n",
    "\n",
    "For the purposes of this tutorial, define a dictionary of parameters by running:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_params = {'lines.linewidth': 2, 'font.size': 14}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting plot parameters "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plotting methods accept *plotParams* as a keyword. The object passed in through the keyword is a **[dict](https://docs.python.org/3/library/stdtypes.html#dict)** of **[matplotlib.pyplot.plot](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html#matplotlib.pyplot.plot)** optional keyword arguments. The dictionary values govern the lines drawn on the plot. For example, calling a *wnutils* plotting routine with:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "params = {'color':'black'}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and then *plotParams = params* in the plotting routine can be thought of as plotting with the command:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "#plt.plot(x, y, color='black')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When the plotting routine creates multiple curves on the same plot, the object passed in through *plotParams* is a **[list](https://docs.python.org/3/library/stdtypes.html#list)** of dictionaries of **[matplotlib.pyplot.plot](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.plot.html#matplotlib.pyplot.plot)** optional keyword arguments. Each dictionary in the list corresponds to a curve on the plot."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting plot methods "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The plotting routines also accept keywords giving **[matplotlib.pyplot](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.html#module-matplotlib.pyplot)** methods and their arguments. In such a case, the keyword is the method, and the value is the argument to the method. For example, calling a *wnutils* plotting routine with the keyword *xlabel = ‘time (s)’* is equivalent to:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'time (s)')"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "plt.xlabel('time (s)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These can be entered directly or as a dictionary. If the method takes an argument and optional keywords, enter these as a tuple. For example, calling a *wnutils* plotting routine with the keyword *savefig = (‘my_fig.png’, {‘bbox_inches’: ‘tight’})* is equivalent to:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Figure size 432x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.savefig('my_fig.png', bbox_inches = 'tight')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The tuple must have two elements–the argument and the dictionary of optional keyword arguments."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## XML "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To make graphs from XML files, first import the namespace:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import wnutils.xml as wx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then create an object for each file. For example, type:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_xml = wx.Xml('my_output1.xml')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot properties against each other for the zones "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can plot properties in the zones in an XML file against each other. For example, to plot *t9* vs. *time*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_xml.plot_property_vs_property( 'time', 't9' )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now apply class methods to the plot. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_xml.plot_property_vs_property( 'time', 't9', xlabel = 'time (s)', ylabel = '$T_9$' )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can equivalently do this by defining the method keywords in a dictionary and calling that. To do so:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kw = {'xlabel':'time (s)', 'ylabel':'$T_9$'}\n",
    "my_xml.plot_property_vs_property('time', 't9', **kw)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also do this with both procedures. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kw2 = {'xlabel':'time (s)'}\n",
    "my_xml.plot_property_vs_property('time', 't9', ylabel = '$T_9$', **kw2)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can call with the RcParams previously defined by:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_xml.plot_property_vs_property('time', 't9', rcParams=my_params, **kw)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also call the the plotParams keyword by:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_xml.plot_property_vs_property('time', 't9', rcParams=my_params, plotParams={'color':'black'}, **kw)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot mass fractions against a property "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can plot mass fractions of species against a property (typically the time or temperature). For example, to plot the mass fractions of he4 and fe58 versus time:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_xml.plot_mass_fractions_vs_property( 'time', ['he4','fe58'] )"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can add appropriate keywords. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_xml.plot_mass_fractions_vs_property( 'time', ['he4','fe58'], use_latex_names=True, xlabel = 'time (s)', xlim=[1.e-6,1], xscale = 'log', ylim=[0,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By setting the *use_latex_names* keyword to true, species names appear as a superscript mass number in front of the element name. You can of course also use the RcParams:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_xml.plot_mass_fractions_vs_property( 'time', ['he4','fe58'], use_latex_names=True, xlabel = 'time (s)', xlim=[1.e-6,1], xscale = 'log', ylim=[0,1], rcParams=my_params)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you want to plot the mass fraction for a single species, be sure to enter that species as a list of one element:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kw3 = {'use_latex_names': True, 'xlabel': '$T_9$', 'xlim': [10,0]}\n",
    "my_xml.plot_mass_fractions_vs_property( 't9', ['si28'], **kw3, ylim=[1.e-12,1.e-4], yscale = 'log')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, note that you can define the species to plot as a list that you then enter into the plot command. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nuclides_list = ['fe56','fe57','fe58']\n",
    "my_xml.plot_mass_fractions_vs_property( 'time', nuclides_list, use_latex_names=True, xlabel = 'time (s)', xlim=[1.e-6,1], xscale = 'log', ylim=[0,0.5], rcParams=my_params)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can generate the list from an XPath expression. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['fe56', 'fe57', 'fe58']\n"
     ]
    }
   ],
   "source": [
    "nuclides = my_xml.get_nuclide_data(nuc_xpath='[z = 26 and (a - z >= 30 and a - z <= 32)]')\n",
    "nuclides_list = []\n",
    "for nuclide in nuclides:\n",
    "    nuclides_list.append(nuclide)\n",
    "\n",
    "print(nuclides_list)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now you can use that list in the plotting routine."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot abundances versus nucleon number "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To plot the summed abundances over mass number A in the last zone:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_xml.plot_abundances_vs_nucleon_number()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To dress that up, try:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_xml.plot_abundances_vs_nucleon_number(xlim = [0,100], ylim = [1.e-10,1], yscale='log', xlabel = 'Mass Number, A', ylabel = 'Y(A)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use keywords to plot against atomic number (Z) or neutron number (N) or to plot against a different time step (zone), using an XPath expression. For example, to plot elemental abundances in the 20th step:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_xml.plot_abundances_vs_nucleon_number(nucleon='z', zone_xpath='[position() = 20]', xlim = [0,50], ylim = [1.e-10,1], yscale='log', xlabel = 'Atomic Number, Z', ylabel = 'Y(Z)')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To add a title giving the conditions at that step:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "props = my_xml.get_properties_as_floats( ['time','t9','rho'] )\n",
    "title_str = 'time(s) = {0:.2e}, t9 = {1:.2f}, rho(g/cc) = {2:.2e}'.format(props['time'][19], props['t9'][19], props['rho'][19])\n",
    "my_xml.plot_abundances_vs_nucleon_number(nucleon='z', zone_xpath='[position() = 20]', xlim = [0,50], ylim = [1.e-10,1], yscale='log', xlabel = 'Atomic Number, Z', ylabel = 'Y(Z)', title=title_str)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Recall that the property arrays are [zero-indexed](https://en.wikipedia.org/wiki/Zero-based_numbering).\n",
    "\n",
    "You can plot more than one time step (zone) by using an XPath expression. For example, to plot the first and last time steps:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_xml.plot_abundances_vs_nucleon_number(zone_xpath='[(position() = 1) or (position() = last())]', yscale = 'log', ylim = [1.e-10,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use a list of plot parameters to label the steps and other keywords to give the plot the desired look:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "p_params = [{'label': 'first'}, {'label': 'last'}]\n",
    "my_xml.plot_abundances_vs_nucleon_number(zone_xpath='[(position() = 1) or (position() = last())]', plotParams = p_params, yscale = 'log', ylim = [1.e-10,1], xlabel = 'A, Mass Number', ylabel = 'Y(A)', xlim = [0,100], legend = {'title': 'time step', 'shadow': True})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is also possible to label the steps with the legend keyword. To do this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_xml.plot_abundances_vs_nucleon_number(zone_xpath='[(position() = 1) or (position() = last())]', yscale = 'log', ylim = [1.e-10,1], xlabel = 'A, Mass Number', ylabel = 'Y(A)', xlim = [0,100], legend = (['first','last'], {'title': 'time step', 'shadow': True}))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can save the figure as a file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_xml.plot_abundances_vs_nucleon_number(zone_xpath='[(position() = 1) or (position() = last())]', yscale = 'log', ylim = [1.e-10,1], xlabel = 'A, Mass Number', ylabel = 'Y(A)', xlim = [0,100], legend = (['first','last'], {'title': 'time step', 'shadow': True}), savefig = ('my_fig.png', {'bbox_inches': 'tight'}))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multi_XML "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To make plots from multiple webnucleo XML files, first import the namespace:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import wnutils.multi_xml as mx"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, create an object for the files:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_multi_xml = mx.Multi_Xml(['my_output1.xml', 'my_output2.xml'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot a property against a property in multiple files "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can plot a property versus another property in multiple files. For example, to plot the t9 versus time in our two files:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_multi_xml.plot_property_vs_property('time','t9')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the calculations are for different exponential expansion timescales, you can label them with a legend. First, find the timescale by noting that ρ(t)=ρ(0)exp(−t/τ). This means that τ=−t /ln(ρ(t)/ρ(0)). Choose, say, step 150 to compute the tau for the two calcluations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import math\n",
    "xmls = my_multi_xml.get_xml()\n",
    "p_params = []\n",
    "for xml in xmls:\n",
    "    props = xml.get_properties_as_floats(['time','rho'])\n",
    "    tau = -props['time'][150] / math.log(props['rho'][150]/props['rho'][0])\n",
    "    p_params.append({'label':('{:8.2f}'.format(tau)).strip() + 's'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now call the plot method with the plotParams keyword:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_multi_xml.plot_property_vs_property('time','t9', plotParams = p_params, legend={'title':'tau'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice the call to the legend keyword. The keyword values can be any valid keyword argument to **[matplotlib.pyplot.legend](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.legend.html#matplotlib.pyplot.legend)**. Thus, for example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_multi_xml.plot_property_vs_property('time','t9', plotParams = p_params, legend={'title':'tau', 'shadow':True})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot a mass fraction against a property in multiple files "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also plot a mass fraction versus a property in multiple files. For example, to plot the mass fraction of fe58 as a function of time (and using the labels you defined above):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_multi_xml.plot_mass_fraction_vs_property('time', 'fe58', plotParams = p_params, legend={'title':'tau'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[wnutils.multi_xml.Multi_Xml](https://wnutils.readthedocs.io/en/latest/wnutils.html#wnutils.multi_xml.Multi_Xml)** plotting methods accept valid *rcParams* and other keywords, as in the **[wnutils.xml.Xml](https://wnutils.readthedocs.io/en/latest/wnutils.html#wnutils.xml.Xml)** methods."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## H5 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To make plots from webnucleo HDF5 file, first import the namespace:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import wnutils.h5 as w5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, create an object for each file:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_h5 = w5.H5('my_output1.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot a property versus a property for a given zone "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can plot the values of two properties in all groups against each other for a given zone. For example, to plot *t9* versus *time* in the zone with labels *2, 0, 0*:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "zone = ('2','0','0')\n",
    "kws = {'xlabel': 'time (yr)', 'ylabel': '$T_9$'}\n",
    "my_h5.plot_zone_property_vs_property(zone, 'time', 't9', xfactor=3.15e7, **kws)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the calculation that gave the output in my_output1.h5, the temperature and density in zones were constant in time."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot mass fractions versus a property for a given zone "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can plot mass fractions against a property for a given zone. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_h5.plot_zone_mass_fractions_vs_property(('1','0','0'), 'time', ['he4', 'c12','o16'], yscale = 'log',ylim = [1.e-5,1], xscale = 'log', xlim = [1,1.e5], xfactor = 3.15e7,xlabel = 'time (yr)', use_latex_names=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note, this is equivalent to:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "zone = ('1','0','0')\n",
    "species = ['he4','c12','o16']\n",
    "kwa = {'xlim': [1,1.e5], 'ylim': [1.e-5,1]}\n",
    "kwb = {'xscale': 'log', 'yscale': 'log', 'xfactor': 3.15e7}\n",
    "kwc = {'xlabel': 'time (yr)', 'use_latex_names': True}\n",
    "my_h5.plot_zone_mass_fractions_vs_property( zone, 'time', species, **kwa, **kwb, **kwc)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or, in Python 3.5 or greater:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "kws = {**kwa,**kwb,**kwc}\n",
    "my_h5.plot_zone_mass_fractions_vs_property( zone, 'time', species, **kws)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot a property in the zone of a given group"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To plot a property in all the zones of a given group, say, Step number 125, you can:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_h5.plot_group_property_in_zones('Step 00125', 't9')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This shows the temperature (in billions of Kelvins) in the zones. The innermost (first) zone is the hottest."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot mass fractions for a given group "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can plot the mass fractions for a given group. The abscissa of the plot in this case will be a zone index. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_h5.plot_group_mass_fractions('Step 00125', ['he4', 'c12','o16'], use_latex_names=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot group mass fractions versus a property "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the previous example, you simply plotted the mass fractions against their zone. You can also plot against a zone property. For example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_h5.plot_group_mass_fractions_vs_property('Step 00125', 't9', ['he4', 'c12','o16'], use_latex_names=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice that the plot shows the lowest temperature zone to the right part of the plot. To show the graph with the innermost (hottest) zones plotted to the right, use the *xlim* keyword:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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TSb/5zW8C8AngreOnqvXmtsNateWwDhw77W7v0TVC00em6TvDU7k9BwAgYEyGYRiB2nhGRoZGjRqlxYsXS5IcDofS0tJ03333af78+WfNf++992r37t3Kyspytz344IPauHGjPv300xZts6ysTNHR0SotLVVUFEciWkOt3aH1e49r1ZY8fbTnmOyuu7eGhZp1/WXJmj4yTRnpXWQy0ZEaANC01vr9DtgRo5qaGm3dulULFixwt5nNZo0fP14bNmxocpmxY8fqr3/9qzZt2qTRo0fr4MGDev/993XnnXc2u53q6mpVVzd04i0rK2t2XvjWgWOntXprnt744oiOn2r4NxjWPUbTR6bp24OTFRlGR2oAQNsRsGBUVFQku92uxMREj/bExETt2bOnyWVuv/12FRUV6YorrpBhGKqrq9OPf/xjPfLII81uJzMzU0888YRPa0fzKmrq9O6X+Vq1OU9bvjnpbu/ayarvDE/V9JFp6pMYGcAKAQBoXlBdlbZ+/Xo9/fTTevHFF5WRkaEDBw5o7ty5+uUvf6nHHnusyWUWLFigefPmud+XlZUpLS2ttUruEOpHpF6xOU/v7Diq09XOEaktZpOuuTRet45M07X9EhRqCXhffwAAzilgwSguLk4Wi0WFhYUe7YWFhUpKSmpymccee0x33nmnfvjDH0qSLrvsMpWXl+tHP/qRfv7zn8tsPvuH12azyWaz+f4DQKUVtXpr+xGt2Jyn3fkNpyjrO1LfMqKbEqPCAlghAADeCVgwslqtGjFihLKysjRt2jRJzs7XWVlZuvfee5tcpqKi4qzwY7E474sVwD7kHYrDYeg/OSe0anOe3v+qQDV1DkmS1TUi9YxRabo8nRGpAQDBKaCn0ubNm6dZs2Zp5MiRGj16tBYtWqTy8nLNmTNHkjRz5kylpqYqMzNTkjR16lT95je/0bBhw9yn0h577DFNnTrVHZDgH8fKqrR662Gt2pKnb05UuNv7JUXqtlFpmjYsVTER1gBWCADAxQtoMJoxY4aOHz+uxx9/XAUFBRo6dKjWrFnj7pCdm5vrcYTo0Ucflclk0qOPPqojR44oPj5eU6dO1VNPPRWoj9Cu1dkd+njfca3Y7HmZfSerRTcOTdVto9I0uFs0l9kDANqNgI5jFAiMY3R+uScqtGpLnlZvzfO4X9mIHrGaMSpNN1yWrE62oOq3DwAIcu1+HCO0LVW1dq3NLtSKTbn6/OsT7vYunaz6zrBUzRjFZfYAgPaPYNTB7Sko08rNeXpz2xGVVNRKkkwm6YrecbptVHeNH5AgWwj9twAAHQPBqAM6XV2nd3cc1YrNedqeV+JuT44O060j03TriG5K6xIRuAIBAAgQglEHYRiGtuWVaOWmPL3z5VFV1NglSSFmk8b3T9SM0Wm6qk+8LFxmDwDowAhG7VxxeY3e+MJ5mf2+woa72feK66QZo9L0neHdFB/JAJgAAEgEo3bJ4TD02ddFWrE5T+t2FarG7hyEsf5u9reN6q5RPWO5zB4AgDMQjNqR/NJKvb7lsFZuydPhk5Xu9kGpUZoxqrtuHJKi6HDuZg8AQHMIRkGu1u5Q1u5jWrUlT+v3HpNrDEZFhoVo2lDnZfaDUqMDWyQAAEGCYBSkcorKtWJzrv6+9YiKTjcMwjg6vYtuG5WmKYOSFW7lMnsAALxBMAoip6vrtHZXgVZuztPGnGJ3e1xnq747optmjExTr/jOAawQAIDgRjBq446dqtKH2ce0LrtAnx044e5IbTZJ4/rGa8ao7rquf4JCLebzrAkAAJwPwagNOnj8tNZmF2rtrgJtyytR47vZ9ewaoe8M76ZbRnRTSkx44IoEAKAdIhi1AQ6HoR2HS7Quu1Brswt14Nhpj+lDukVr4sAkTRyQqN4JnbnMHgAAPyEYBUhNnUMbDp7Q2l0FWpddqGOnGjpQh5hNGnNJV00ckKjxAxKVHM2RIQAAWgPBqBWVVdVq/d7jWpddqPV7julUdZ17WierRVf3S9DEAYm6+tIExhsCACAACEZ+VlhW5T5FtuHrItXaGzoMxUfaNGFAoiYMSNTYS7pyF3sAAAKMYORjhmHo6+On9cGuQq3LLvS4e70k9YrvpIkDkjRxYKKGdouRmZu2AgDQZhCMfMDhcN65fm12gdbtKtTBonKP6cO6x2jigCRNcHWeBgAAbRPB6AJV1dq14esTzjCUfcxj9GmrxezsPD0wURP6JyohKiyAlQIAgJYiGHmhtLJW6/ce09pdhVq/95jKa+zuaZG2EF3TL0ETByZqXN94RYbReRoAgGBDMDqP/NJKrct29hfa8PUJ1TkaOk8nRjk7T08ckKTLe3WVNYTRpwEACGYEozMYhqH9x05r7a4Crc0u1JeHSz2m90norIkDnWHostRoOk8DANCOEIwk2R2Gvsg96R5s8dCJCvc0k0ka3j1WE12X1XOTVgAA2q8OG4yqau3avLtQa3cV6sPdhTpRXuOeZg0x64recZo4IFHX9U9UfKQtgJUCAIDW0mGD0ZXPfaRqU8PVYlFhIbq2X4ImDkzSVX3j1dnWYXcNAAAdVof99a+scSg1IUwTByRq4sAkjU7volALnacBAOjIOmwwWvmjy3V5v27cqR4AALh12EMkA1OjCUUAAMBDhw1GAAAAZyIYAQAAuBCMAAAAXAhGAAAALgQjAAAAF4IRAACAC8EIAADAhWAEAADgQjACAABwIRgBAAC4EIwAAABcCEYAAAAuBCMAAAAXghEAAIALwQgAAMCFYAQAAOBCMAIAAHAhGAEAALgQjAAAAFwIRgAAAC4EIwAAABeCEQAAgAvBCAAAwIVgBAAA4EIwAgAAcCEYAQAAuBCMAAAAXAhGAAAALgQjAAAAF4IRAACAC8EIAADAJeDBaMmSJerZs6fCwsKUkZGhTZs2nXP+kpIS3XPPPUpOTpbNZlPfvn31/vvvt1K1AACgPQvxdgG73a5ly5YpKytLx44dk8Ph8Jj+0UcftXhdK1eu1Lx587R06VJlZGRo0aJFmjRpkvbu3auEhISz5q+pqdGECROUkJCg119/Xampqfrmm28UExPj7ccAAAA4i9fBaO7cuVq2bJluuOEGDRo0SCaT6YI3/pvf/EZ333235syZI0launSp3nvvPb3yyiuaP3/+WfO/8sorKi4u1ueff67Q0FBJUs+ePS94+wAAAI2ZDMMwvFkgLi5Or776qq6//vqL2nBNTY0iIiL0+uuva9q0ae72WbNmqaSkRG+//fZZy1x//fXq0qWLIiIi9Pbbbys+Pl633367Hn74YVkslia3U11drerqavf7srIypaWlqbS0VFFRURf1GQAAQOsoKytTdHS033+/ve5jZLVa1bt374vecFFRkex2uxITEz3aExMTVVBQ0OQyBw8e1Ouvvy673a73339fjz32mH7961/rV7/6VbPbyczMVHR0tPuRlpZ20bUDAID2yetTaQ8++KB+97vfafHixRd1Gu1COBwOJSQk6KWXXpLFYtGIESN05MgRPf/881q4cGGTyyxYsEDz5s1zv68/YgQAQGswDEN1dXWy2+2BLqXNCw0NbfYMUGvxOhh9+umn+te//qV//vOfGjhwoLuvT7033nijReuJi4uTxWJRYWGhR3thYaGSkpKaXCY5Ofmsnda/f38VFBSopqZGVqv1rGVsNptsNluLagIAwJdqamqUn5+vioqKQJcSFEwmk7p166bOnTsHrAavg1FMTIxuvvnmi96w1WrViBEjlJWV5e5j5HA4lJWVpXvvvbfJZb71rW/ptddek8PhkNnsPAu4b98+JScnNxmKAAAIFIfDoZycHFksFqWkpMhqtbb6mZZgYhiGjh8/rsOHD6tPnz4BO3LkdTD6v//7P59tfN68eZo1a5ZGjhyp0aNHa9GiRSovL3dfpTZz5kylpqYqMzNTkvSTn/xEixcv1ty5c3Xfffdp//79evrpp/Wzn/3MZzUBAOALNTU1cjgcSktLU0RERKDLCQrx8fE6dOiQamtrgycY1Tt+/Lj27t0rSbr00ksVHx/v9TpmzJih48eP6/HHH1dBQYGGDh2qNWvWuDtk5+bmuo8MSVJaWpo++OADPfDAAxo8eLBSU1M1d+5cPfzwwxf6MQAA8KvGv2M4t7ZwRM3ry/XLy8t133336dVXX3UP7mixWDRz5kz94Q9/aPOpuLUu9wMAdGxVVVXKyclRenq6wsLCAl1OUDjXPmuzl+vPmzdPH3/8sd555x2VlJS4xxz6+OOP9eCDD/qjRgAAgFbh9am0v//973r99dd19dVXu9uuv/56hYeHa/r06frjH//oy/oAAABajddHjCoqKs4alFGSEhISuBwRAIB2pKKiQj169NBDDz0U6FJajdfBaMyYMVq4cKGqqqrcbZWVlXriiSc0ZswYnxYHAAAC56mnntLll18e6DJalden0n73u99p0qRJ6tatm4YMGSJJ2rFjh8LCwvTBBx/4vEAAAND69u/frz179mjq1Kn66quvAl1Oq/H6iNGgQYO0f/9+ZWZmaujQoRo6dKieeeYZ7d+/XwMHDvRHjQAAoJU99NBD7nEEG5s9e7bHzd/rrV+/XiaTSSUlJf4vzo8uaByjiIgI3X333b6uBQAAtAFvv/22+vbtq759++rzzz8PdDmtqkXB6B//+IemTJmi0NBQ/eMf/zjnvDfeeKNPCgMAAIHxn//8RytWrNDq1at1+vRp1dbWKioqSo8//rhX63E4HHr22Wf10ksvqaCgQH379tVjjz2mW265xU+VX7wWBaNp06apoKBACQkJTR4+q2cymbh7MAAAQS4zM9N9Gm3ZsmX66quvvA5F9ev561//qqVLl6pPnz765JNP9P3vf1/x8fEaN26cr8v2iRYFo/oRrs98DQAAWs4wDFXWBuYAQnioxWe33Hj33XfVuXNnj7YzD4xUV1fr6aef1ocffui+ar1Xr1769NNP9ac//Sm4g1Fjr776qmbMmCGbzebRXlNToxUrVmjmzJk+Kw4AgPakstauAY8H5gru7CcnKcLqfdfi2bNnn9V2zTXXnDWg88aNG/X973/f/f7AgQOqqKjQhAkTPOarqanRsGHDvK6jtXi9h+bMmaPJkycrISHBo/3UqVOaM2cOwQgAgHauU6dO6t27t0fb4cOHPd6fPn1akvTee+8pNTXVY9qZB1faEq+DkWEYTR6KO3z4sKKjo31SFAAA7VF4qEXZT04K2LZb04ABA2Sz2ZSbm9tmT5s1pcXBaNiwYTKZTDKZTLruuusUEtKwqN1uV05OjiZPnuyXIgEAaA9MJtMFnc4KRpGRkXrooYf0wAMPyOFw6IorrlBpaak+++wzRUVFadasWYEusUkt/tepvxpt+/btmjRpkkenK6vVqp49e+q73/2uzwsEAADB6Ze//KXi4+OVmZmpgwcPKiYmRsOHD9cjjzwS6NKaZTIMw/BmgT//+c+67bbb2vT5wXMpKytTdHS0SktLFRUVFehyAADtVFVVlXJycpSenq6wsLBAlxMUzrXPWuv32+tbggwYMEDbt28/q33jxo3asmWLL2oCAAAICK+D0T333KO8vLyz2o8cOaJ77rnHJ0UBAAAEgtfBKDs7W8OHDz+rfdiwYcrOzvZJUQAAAIHgdTCy2WwqLCw8qz0/P9/jSjUAAIBg43UwmjhxohYsWKDS0lJ3W0lJiR555JGzRrcEAAAIJl4f4nnhhRd01VVXqUePHu4hvbdv367ExET95S9/8XmBAAAArcXrYJSamqovv/xSf/vb37Rjxw6Fh4drzpw5+t73vqfQ0FB/1AgAANAqLqhTUKdOnfSjH/3I17UAAAAE1AX3ls7OzlZubq5qamo82m+88caLLgoAACAQvA5GBw8e1M0336ydO3fKZDKpfuDs+hvL2u1231YIAADQSry+Km3u3LlKT0/XsWPHFBERoV27dumTTz7RyJEjtX79ej+UCAAA0Dq8PmK0YcMGffTRR4qLi5PZbJbZbNYVV1yhzMxM/exnP9O2bdv8UScAAIDfeX3EyG63KzIyUpIUFxeno0ePSpJ69OihvXv3+rY6AAAQEDfffLNiY2N1yy23uNvy8vJ09dVXa8CAARo8eLBWr14dwAr9w+tgNGjQIO3YsUOSlJGRoeeee06fffaZnnzySfXq1cvnBQIAgNY3d+5cvfrqqx5tISEhWrRokbKzs7V27Vrdf//9Ki8vD1CF/uF1MHr00UflcDgkSU8++aRycnJ05ZVX6v3339fvf/97nxcIAABa39VXX+0+Q1QvOTlZQ4cOlSQlJSUpLi5OxcXFAajOf7zuYzRp0iT36969e2vPnj0qLi5WbGys+8o0AADQvm3dulV2u11paWnutoKCAj311FN67733dOTIESUkJGjo0KG6//77dd111wWw2pbzKhjV1tYqPDxc27dv16BBg9ztXbp08XlhAACgbSouLtbMmTP18ssvu9sOHTqkb33rW4qJidHzzz+vyy67TLW1tfrggw90zz33aM+ePQGsuOW8CkahoaHq3r07YxUBANBBVVdXa9q0aZo/f77Gjh3rbv/pT38qk8mkTZs2qVOnTu72gQMH6q677gpEqRfE61NpP//5z/XII4/oL3/5C0eKAADwhmFItRWB2XZohHSRXV4Mw9Ds2bN17bXX6s4773S3FxcXa82aNXrqqac8QlG9mJiYi9pua/I6GC1evFgHDhxQSkqKevTocdYO+OKLL3xWHAAA7UpthfR0SmC2/chRyXp2aGnO+PHjtWPHDpWXl6tbt25avXq17Ha7Vq5cqcGDB+utt96SJP3lL39RZWWlDMNQv379/FR86/E6GE2bNs0PZQAAgLbkww8/bLK9/sr0xjZu3OjvclpNi4PRK6+8ojvuuEMLFy70Zz0AALRfoRHOIzeB2raf9OnTRyaTKWg6WJ9Li8cxuvvuu1VaWup+n5KSokOHDvmjJgAA2ieTyXk6KxAPPw6p06VLF02aNElLlixpcsDHkpISv23b11ocjAzD8Hh/6tSpJg+nAQCAjmfJkiWy2+0aPXq0/v73v2v//v3avXu3fv/732vMmDGBLq/FvO5jBAAAcKZevXrpiy++0FNPPaUHH3xQ+fn5io+P14gRI/THP/4x0OW1WIuDkclk8hjZ+sz3AACgY0tOTtbixYu1ePHiQJdywVocjAzDUN++fd1h6PTp0xo2bJjMZs+zce3tnikAAKDjaHEw+r//+z9/1gEAABBwLQ5Gs2bN8mcdAAAAAdfiq9IAAADaO4IRAACAC8EIAADAhWAEAADgctHByG63a/v27Tp58qQv6gEAAAgYr4PR/fffr//93/+V5AxF48aN0/Dhw5WWlqb169f7uj4AAIBW43Uwev311zVkyBBJ0jvvvKOcnBzt2bNHDzzwgH7+85/7vEAAAIDW4nUwKioqUlJSkiTp/fff16233qq+ffvqrrvu0s6dO31eIAAAQGvxOhglJiYqOztbdrtda9as0YQJEyRJFRUVslgsPi8QAAC0vptvvlmxsbG65ZZbPNpzcnJ0zTXXaMCAAbrssstUXl4eoAr9w+tgNGfOHE2fPl2DBg2SyWTS+PHjJUkbN25Uv379fF4gAABofXPnztWrr756Vvvs2bP15JNPKjs7Wx9//LFsNlsAqvOfFt8SpN4vfvELDRo0SHl5ebr11lvdO8RisWj+/Pk+LxAAALS+q6+++qyLqnbt2qXQ0FBdeeWVkqQuXboEoDL/uqDL9W+55RY98MAD6tatmySppKREs2bN0k033eTT4gAAQNuxf/9+de7cWVOnTtXw4cP19NNPe0zPy8vTXXfdpZSUFFmtVvXo0UNz587ViRMnAlSx97wORs8++6xWrlzpfj99+nR17dpV3bp105dffunT4gAAQNtRV1enf//733rxxRe1YcMGrVu3TuvWrZMkHTx4UCNHjtT+/fu1fPlyHThwQEuXLlVWVpbGjBmj4uLiAFffMl4Ho6VLlyotLU2S3Dvkn//8pyZPnqyHHnrI5wUCAIC2ITU1VSNHjlRaWppsNpuuv/56bd++XZJ0zz33yGq1au3atRo3bpy6d++uKVOm6MMPP9SRI0eCZkgfr4NRQUGBOxi9++67mj59uiZOnKj//u//1ubNmy+oiCVLlqhnz54KCwtTRkaGNm3a1KLlVqxYIZPJpGnTpl3QdgEAQMuNGjVKx44d08mTJ+VwOPTJJ5+of//+Ki4u1gcffKCf/vSnCg8P91gmKSlJd9xxh1auXCnDMAJUect53fk6NjZWeXl5SktL05o1a/SrX/1KkmQYhux2u9cFrFy5UvPmzdPSpUuVkZGhRYsWadKkSdq7d68SEhKaXe7QoUN66KGH3B3AAABo6wzDUGVdZUC2HR4SLpPJ1OL5x48frx07dqi8vFzdunXT6tWrNWbMGD399NO66qqrZBiGJk6cqG9/+9vauHGjDMNQ//79m1xX//79dfLkSR0/fvycv+1tgdfB6Dvf+Y5uv/129enTRydOnNCUKVMkSdu2bVPv3r29LuA3v/mN7r77bs2ZM0eS81Tde++9p1deeaXZq9zsdrvuuOMOPfHEE/r3v/+tkpISr7cLAEBrq6yrVMZrGQHZ9sbbNyoiNKLF83/44YdNtk+ZMsX923+mYDgidD5en0r77W9/q3vvvVcDBgzQunXr1LlzZ0lSfn6+fvrTn3q1rpqaGm3dutU9FpIkmc1mjR8/Xhs2bGh2uSeffFIJCQn6wQ9+cN5tVFdXq6yszOMBAAB8p3fv3jKZTNq9e3eT03fv3q3Y2FjFx8e3cmXe8/qIUWhoaJOdrB944AGvN15UVCS73a7ExESP9sTERO3Zs6fJZT799FP97//+r7uz1/lkZmbqiSee8Lo2AAB8LTwkXBtv3xiwbftL165dNWHCBL344ot64IEHPPoZFRQU6G9/+5tmzpzp1am8QPE6GNXLzs5Wbm6uampqPNpvvPHGiy6qOadOndKdd96pl19+WXFxcS1aZsGCBZo3b577fVlZmbvzOAAArclkMnl1OiuYLF68WGPHjtWkSZP0q1/9Sunp6dq1a5f+67/+S6mpqXrqqacCXWKLeB2MDh48qJtvvlk7d+6UyWRyn0+sT4HedMCOi4uTxWJRYWGhR3thYaH7RrWNff311zp06JCmTp3qbnM4HM4PEhKivXv36pJLLvFYxmaztbvhygEAaGv69OmjLVu2aOHChZo+fbqKi4uVlJSkadOmaeHChUEzSrbXfYzmzp2r9PR0HTt2TBEREdq1a5c++eQTjRw58qyhw8/HarVqxIgRysrKcrc5HA73YFBn6tevn3bu3Knt27e7HzfeeKOuueYabd++nSNBAAAEUI8ePbRs2TIVFBSopqZGubm5+v3vf6+uXbsGurQW8/qI0YYNG/TRRx8pLi5OZrNZZrNZV1xxhTIzM/Wzn/1M27Zt82p98+bN06xZszRy5EiNHj1aixYtUnl5ufsqtZkzZyo1NVWZmZkKCwvToEGDPJaPiYmRpLPaAQAAvOV1MLLb7YqMjJTkPBV29OhRXXrpperRo4f27t3rdQEzZszQ8ePH9fjjj6ugoEBDhw7VmjVr3B2yc3NzZTZf0C3dAAAAvOJ1MBo0aJB27Nih9PR0ZWRk6LnnnpPVatVLL72kXr16XVAR9957r+69994mp53v9NyyZcsuaJsAAABn8joYPfrooyovL5fkHE/o29/+tq688kp17drV4+ayAAAAwcbrYDRp0iT36969e2vPnj0qLi5WbGxsUIxPAAAA0JwLHseosWC5BA8AAOBcWhyM7rrrrhbN98orr1xwMQAAtDf14+3h/NrCvdZaHIyWLVumHj16aNiwYW2icAAA2jKr1Sqz2ayjR48qPj5eVquVLifnYBiGjh8/LpPJpNDQ0IDV0eJg9JOf/ETLly9XTk6O5syZo+9///ucQgMAoBlms1np6enKz8/X0aNHA11OUDCZTOrWrZssFkvgajC8OPxTXV2tN954Q6+88oo+//xz3XDDDfrBD36giRMnBk0KLisrU3R0tEpLSxUVFRXocgAA7ZxhGKqrq/PqllkdVWhoaLOhqLV+v70KRo198803WrZsmV599VXV1dVp165d6ty5s6/r8zmCEQAAwae1fr8veEhps9nsvoksKRgAALQHXgWj6upqLV++XBMmTFDfvn21c+dOLV68WLm5uUFxtAgAAOBcWtz5+qc//alWrFihtLQ03XXXXVq+fLni4uL8WRsAAECranEfI7PZrO7du2vYsGHn7Gj9xhtv+Kw4f6CPEQAAwae1fr9bfMRo5syZQXPlGQAAwIXwaoBHAACA9uyCr0oDAABobwhGAAAALgQjAAAAF4IRAACAC8EIAADAhWAEAADgQjACAABwIRgBAAC4EIwAAABcCEYAAAAuBCMAAAAXghEAAIALwQgAAMCFYAQAAOBCMAIAAHAhGAEAALgQjAAAAFwIRgAAAC4EIwAAABeCEQAAgAvBCAAAwIVgBAAA4EIwAgAAcCEYAQAAuBCMAAAAXAhGAAAALgQjAAAAF4IRAACAC8EIAADAhWAEAADgQjACAABwIRgBAAC4dNxgdOLrQFcAAADamJBAFxAwL42TkntLfSc5H93HSiHWQFcFAAACqOMGI1OIVPy19J8XnQ9rpHTJNVLfyVKfiVLn+EBXCAAAWpnJMAwj0EW0prKyMkVHR6v02GFFHd8q7ftA2r9WKj/WaC6TlDqi4WhS0mDJZApYzQAAdHTu3+/SUkVFRfltOx03GDXesQ6HlL/NGZL2rZHyd3guFJnsPIrUd7LUa5xk7dT6hQMA0IERjPykRTu2LN95FGnfB9LB9VJtecM0i01Kv7LhlFtsj1apGwCAjoxg5Cde79jaKumbT6V9a51Hk0q+8Zwe3991ym2y1G2UZOm43bYAAPAXgpGfXNSONQzp+F5p/wfOo0m5/5EMe8P0sBipzwRnSLrkWimii09rBwCgoyIY+YlPd2zlSelAljMkHVjnfF/PZJbSLm/owB3fjw7cAABcIIKRn/htx9rrpCNbnKfb9n0gHcv2nB7T3dUvaZLU8wopNMx32wYAoJ0jGPlJa+1YleS6rnL7QMr5RLJXN0wLjZB6XSP1negMSlHJ/qsDAIB2gGDkJ60WjBqrKXeGo31rnJ24Tx31nJ48xBmQ+k6WUoZJ5o57pxYAAJpCMPKTgASjxgxDKtjpGljyA+nwFkmN/gk6xbvGTJrkPKoUFoAaAQBoY1rr97tNHJpYsmSJevbsqbCwMGVkZGjTpk3Nzvvyyy/ryiuvVGxsrGJjYzV+/Phzzt/mmExS8mBp3H9JP/xQemi/NO2P0oCbJFuUVH5c2v43adVM6ble0qs3SRte5Ka3AAC0goAfMVq5cqVmzpyppUuXKiMjQ4sWLdLq1au1d+9eJSQknDX/HXfcoW9961saO3aswsLC9Oyzz+rNN9/Url27lJqaet7tBfyI0bnU1Ui5GxqOJp044Dm9a2/n6bbLbpGSh3KVGwCgw+gwp9IyMjI0atQoLV68WJLkcDiUlpam++67T/Pnzz/v8na7XbGxsVq8eLFmzpx53vnbdDA6U9GBhjGTvvlMctQ1TEsYIA35njR4hhSZGLgaAQBoBa31+x3QYZpramq0detWLViwwN1mNps1fvx4bdiwoUXrqKioUG1trbp0aXowxerqalVXN1wRVlZWdnFFt6a43s7HmHukqlLp639Ju/8h7XnPORzAusekD38h9R4vDf2e1HcKwwAAAHARAhqMioqKZLfblZjoecQjMTFRe/bsadE6Hn74YaWkpGj8+PFNTs/MzNQTTzxx0bUGXFi0NHCa81FZIu16U9r+mnR4k/Oo0v4PnCNvX3aLNOR2KXU4p9oAAPBSm+h8faGeeeYZrVixQm+++abCwpo+UrJgwQKVlpa6H3l5ea1cpR+Ex0gj50g/XCfdu0W68kEpKlWqKpE2/4/0P9dKSzKkTxc5b4gLAABaJKDBKC4uThaLRYWFhR7thYWFSkpKOueyL7zwgp555hmtXbtWgwcPbnY+m82mqKgoj0e7EtdHuu5x6f6d0p1vSZdNl0LCpKK90ocLpd8OkP76XemrvztviAsAAJoV0GBktVo1YsQIZWVludscDoeysrI0ZsyYZpd77rnn9Mtf/lJr1qzRyJEjW6PUts9skS65Rvruy9JD+6Spv5e6j5EMh3TgQ+n1u6Rf95XeuV/K2+wcTwkAAHgI+FVpK1eu1KxZs/SnP/1Jo0eP1qJFi7Rq1Srt2bNHiYmJmjlzplJTU5WZmSlJevbZZ/X444/rtdde07e+9S33ejp37qzOnTufd3tBdVWaL5z4WtqxXNq+XCo73NDetY809HZpyG1SVErg6gMAoAU6zOX6krR48WI9//zzKigo0NChQ/X73/9eGRkZkqSrr75aPXv21LJlyyRJPXv21DfffHPWOhYuXKhf/OIX591WhwtG9RwO6dC/nR22s9+W6ipdE0zOI01D75D63SCFhge0TAAAmtKhglFr6rDBqLGqMmc42rHcOT5SPVuUNPBmZ0hKG81VbQCANoNg5CcEozMUH5R2rHCGpJLchvYulzjHRhp8mxSTFrj6AAAQwchvCEbNcDicR4/qT7XVlrsmmKRe45xjI/WfKlkjAlomAKBjIhj5CcGoBapPO0fY3v6as19SPWukc4DJoXdI3S/nVBsAoNUQjPyEYOSlk4ekHSul7X+TShp1eo9Nb7iqLaZ7wMoDAHQMBCM/IRhdIIdDyt3gOtX2llRzumFazyudR5EG3ChZOwWsRABA+0Uw8hOCkQ/UlEu733EeRcr5pKHd2lkaMM3Zabv7WMkc1HecAQC0IQQjPyEY+VhJbsOptpM5De0xPaQh33OeauuSHrj6AADtAsHITwhGfmIYUt5GZ0D66k2p5lTDtO5jnQFp4DQpLDpgJQIAghfByE8IRq2gpkLa866zP9LB9ZJcf2IhYc7RtYfcLvW6WrKEBLBIAEAwIRj5CcGolZUekXauct6rrWhvQ3vnRGnwdOfptsSBgasPABAUCEZ+QjAKEMOQjm5zjrK9c7VUWdwwLWmwMyBddqvUOT5wNQIA2iyCkZ8QjNqAuhpp/1rnbUj2fSA5ap3tJovUZ4IzJPWdLIWGBbZOAECbQTDyE4JRG1N+Qtr1hrM/0tEvGtrDoqVB33WGpG6jGGUbADo4gpGfEIzasON7nUeRdqyUTh1taO/a23lV2+AZjLINAB0UwchPCEZBwGF3Dhy5Y4Xznm21FQ3Tel7pPIo04EbJFhm4GgEArYpg5CcEoyBTfco1yvYZN7QNjZD6T3WGpPSrJLMlcDUCAPyOYOQnBKMgVpIrfbnSeel/8dcN7VGpDZf+x18auPoAAH5DMPITglE7YBjS4S3Sjtekr/4uVZU2TEsZ7rr0/xYpokvgagQA+BTByE8IRu1MXbW095/O/kj710qG3dluDpX6TnKGpD4TpRBrYOsEAFwUgpGfEIzasdPHpa9ed/ZHKviyoT28i/MI0pDbnEeUuPQfAIIOwchPCEYdROEu56X/X66SThc2tMdd6rr0f7oU3S1w9QEAvEIw8hOCUQdjr3PeyHbHcueNbeuqGqZ1Gy0NnCYNuImQBABtHMHITwhGHVhVqZT9trM/0jefS2r0p09IAoA2jWDkJwQjSJLK8p2DR+56S8rdIEISALRtBCM/IRjhLIQkAGjzCEZ+QjDCORGSAKBNIhj5CcEILUZIAoA2g2DkJwQjXJDzhqSbXSEpNVAVAkC7RjDyE4IRLhohCQBaHcHITwhG8ClCEgC0CoKRnxCM4DfnCklpGdKAaYQkALhABCM/IRihVRCSAMCnCEZ+QjBCqztfSOp3g9R7gpTQnxvcAkAzCEZ+QjBCQJ0rJEV1k/qMd4akXuMkW2SgqgSANodg5CcEI7QZZfnS7nek/WulQ//2vMGtOVTqfrnUZ4LUZ6IU34+jSQA6NIKRnxCM0CbVVkqHPpMOrHMGpeKDntM5mgSggyMY+QnBCEHhxNfSgQ+l/euaPprUY4wzJPWZwNEkAB0CwchPCEYIOrWV0qFPnSHpwDqOJgHokAhGfkIwQtA78XVDSDr0KUeTAHQIBCM/IRihXampkL75zNkvaf866WSO5/ToNKn3dc4O3OlXcTQJQNAiGPkJwQjtWv3RpP1rnUeT7NUN0ziaBCCIEYz8hGCEDqOmwhmO6q90O3nIc3r90aSeVzqHBojuFpAyAaAlCEZ+QjBCh2QYrivd1rmudDvjaJLkDErdL5e6j3E+4vtJZnNg6gWAMxCM/IRgBMh1NOnf0tf/kvL+I+V/KRl2z3nCoqW0y51hqcdYKWWYFGILTL0AOjyCkZ8QjIAmVJ+SDm+Rcv/jvFXJ4c1SbYXnPBablDrcdVRprJQ2WgqPCUi5ADoegpGfEIyAFrDXSgU7nSEpd4MzMJUfP2Mmk5QwoNHpt8ulmLSAlAug/SMY+QnBCLgAhuEcWPKbzxuOKhV/ffZ87n5KrrAU359+SgB8gmDkJwQjwEdOH2sISbkbzt9PqfsY56k4+ikBuAAEIz8hGAF+Un1aOtKon1LeZqm23HMei01KHiwlXeZ8JF4mJQ6QrJ0CUzOAoEEw8hOCEdBK3P2UGh1VOqufkiSZpK69paRBDWEp6TIpMokBKAG4EYz8hGAEBEh9P6Wj25yBqWCnVPiVdLqw6fkjunoeWUq6TIrrI1lCW7duAG0CwchPCEZAG3P6mGdQKtgpFe2TDMfZ81qsUkL/hqCUdJmUOJBhA4AOgGDkJwQjIAjUVkrHdnuGpYKvpJpTTc8f071RWHKdkovpwak4oB0hGPkJwQgIUg6HVPKNZ1Aq2CmV5jY9f2iE1KWX1CXd9dzoEZnCMAJAkCEY+QnBCGhnKk9KhbsahaUvpeN7JHtN88uEhEmx6WcHp66XSFGpktnSevUDaJHW+v0O8duaAaA1hMdKPa9wPurZa6WSXGdn7/rHia+dzyXfSHVV0vHdzseZLFYptufZR5m69HIOYGnhaxNoz/gvHED7Ywl1Hv3pesnZ0+x1UmmeZ2iqf5w85DzSVLTP+TiTOcTZd6lLuhSVIkUmNzyiXM8RcZymA4IYwQhAx2IJcZ0+S5d0nec0h10qPXxGYMpx3v6kOEeyV7teN3E7lHrmEKlzkisoJTn7M0UmuYJUo/dhnMoH2iKCEQDUM1uk2B7OxyXXeE5zOKRTRxuOLJXlS6caPcrynQNYOuqkssPOx7lYO7uCUv1RpySpU5wU3sV5ejDC9Vz/PsTqt48NoEGb6Hy9ZMkSPf/88yooKNCQIUP0hz/8QaNHj252/tWrV+uxxx7ToUOH1KdPHz377LO6/vrrW7St+s5bQ18aKmuEVRaTRRazxfPZZFGIOURmk1kWs0UhphBZTBaZzWbn60bzNfXavazrtcVkkdlkbvL1mcuHmEI8tmM2Nb/Nc63jXLW4t2Myy2wyy8QlzYBv2GudA1aeKpDKjjqfzwxPpwqk6lLv123t7AxJEbGegSmiS9Ovw6Kcy4SGM2wB2oUO0/l65cqVmjdvnpYuXaqMjAwtWrRIkyZN0t69e5WQkHDW/J9//rm+973vKTMzU9/+9rf12muvadq0afriiy80aNCgFm+32l6turo6X36UoOURvM4RspoLZfUhq6n5zWZzw2tXQKuf3vh9/ev60Oie1mi++sBYH+i8XZfHOl11mWWW2Wx2Prs+g0km9zz17Y3XQZhEsyyhUnQ35+Ncqk87A5Q7PLmeK4qlymLnlXbu1yWSDKnmtPPR3PAEzTGZnQHJ2lmydXbel87aWbJFNnrd+Yx56h+dnFfwhdicASvE5nrvelhCCV1odwJ+xCgjI0OjRo3S4sWLJUkOh0NpaWm67777NH/+/LPmnzFjhsrLy/Xuu++62y6//HINHTpUS5cuPe/26hPn3iN7FR4ZLrvDLofhUJ1RJ7vDLrvherhe1znq5DAcHq895m30XGe45m3i9fm209Q2m9pO43oatzW1rjO3Bd+pD08mk8kjMDV+NDW92WXUELjMJrNMMnmEsDOnm9XodaP5zzf9zNeSPNpkkntZk0we9dS3teh94+Xr11ffVr8tyWM+k0yebY3bTTqrrdn2Rs/1/1b187rfN97eGfOeWdeZ7R7rPKPN9cLzfTPLe/w9NdHufm04pOpTMlWfkqpKpapSmarLpMpS55GnqjKpqkSqKpOpulSqLJOqS2SqqWji79a7964Cmmx1LmB23hg4xCpZwlzPNleAsslkCZHMVme/K7NFMoc6w5T7dYjz2Rzi+dpskclskUwhzm2YzZLJ4lzO5HqYTR5tJrNZktkZ1Exm16Pxa7PrE9a3uT6xydToWWe8b2K6x55qvEzjyU3N28R8Z+/Qc0wKvgCakjLSp+vrEEeMampqtHXrVi1YsMDdZjabNX78eG3YsKHJZTZs2KB58+Z5tE2aNElvvfVWk/NXV1erurra/b6srEySlNQ5SVGRHafzo2EYHgGvuTDXXCC80PnrQ1n9MvWBr3G4q3/tMByewc+wy+FoNO0cy9Vvyz1fo+Uar6vxOgzD8Hh2GA45DIeMc/0Q1O9PGaoz6iRDqlVtK/wLAi1gcz0U43q0NoekStejUVMTd3dB+xZiGNo2+6tAl3FBAhqMioqKZLfblZiY6NGemJioPXv2NLlMQUFBk/MXFBQ0OX9mZqaeeOIJ3xQcxOqPUlhkkdVCJ85zqQ+RjYOXw3DIIYc7cBkyZHe4nl2hyyFHk0Gr8aO5dkMN2zQMw7mt+teubTeu63zze0x31drcOgwZMgzDvR7DMNxtHtNleLyu35573vplG09vvGwT66//n/P/zbQ1qkU6x3xn1Nh4XvfrRu/r/63rg/BZ086xnsbLN25zP5+xHteLc857rkDe5PqaqaXZdRlnvjXO+f7MdTa1Qs/p9R/Q8Hzv0dZMQYbnC6OpeZpd3PuTHmdupU1oY+VcrID307kIwVx7iyxYsMDjCFNZWZnS0tICWBHausYhMlTcyR0AOpKABqO4uDhZLBYVFhZ6tBcWFiopKanJZZKSkrya32azyWaz+aZgAADQrgV0eFar1aoRI0YoKyvL3eZwOJSVlaUxY8Y0ucyYMWM85pekdevWNTs/AABASwX8VNq8efM0a9YsjRw5UqNHj9aiRYtUXl6uOXPmSJJmzpyp1NRUZWZmSpLmzp2rcePG6de//rVuuOEGrVixQlu2bNFLL70UyI8BAADagYAHoxkzZuj48eN6/PHHVVBQoKFDh2rNmjXuDta5ubkyN7rv0NixY/Xaa6/p0Ucf1SOPPKI+ffrorbfe8moMIwAAgKYEfByj1tZa4yAAAADfaa3fb24BDQAA4EIwAgAAcCEYAQAAuBCMAAAAXAhGAAAALgQjAAAAF4IRAACAC8EIAADAhWAEAADgEvBbgrS2+oG+y8rKAlwJAABoqfrfbX/fsKPDBaMTJ05IktLS0gJcCQAA8NaJEycUHR3tt/V3uGDUpUsXSc6b0/pzx3YEZWVlSktLU15eHvedu0jsS99gP/oO+9J32Je+UVpaqu7du7t/x/2lwwUjs9nZrSo6Opo/UB+JiopiX/oI+9I32I++w770Hfalb9T/jvtt/X5dOwAAQBAhGAEAALh0uGBks9m0cOFC2Wy2QJcS9NiXvsO+9A32o++wL32HfekbrbUfTYa/r3sDAAAIEh3uiBEAAEBzCEYAAAAuBCMAAAAXghEAAIBLuwhGS5YsUc+ePRUWFqaMjAxt2rSp2XnfeOMNjRw5UjExMerUqZOGDh2qv/zlLx7zGIahxx9/XMnJyQoPD9f48eO1f/9+f3+MNsGbffnyyy/ryiuvVGxsrGJjYzV+/Piz5p89e7ZMJpPHY/Lkyf7+GAHn6/3I32TL9uWuXbv03e9+Vz179pTJZNKiRYvOmucXv/jFWX+T/fr18+MnaBt8vR+9XWd74u3nXr16tfr166ewsDBddtllev/99z2md9TvScn3+9In35VGkFuxYoVhtVqNV155xdi1a5dx9913GzExMUZhYWGT8//rX/8y3njjDSM7O9s4cOCAsWjRIsNisRhr1qxxz/PMM88Y0dHRxltvvWXs2LHDuPHGG4309HSjsrKytT5WQHi7L2+//XZjyZIlxrZt24zdu3cbs2fPNqKjo43Dhw+755k1a5YxefJkIz8/3/0oLi5urY8UEP7Yj/xNtmxfbtq0yXjooYeM5cuXG0lJScZvf/vbs+ZZuHChMXDgQI+/yePHj/v5kwSWP/ajt+tsL7z93J999plhsViM5557zsjOzjYeffRRIzQ01Ni5c6d7no74PWkY/tmXvviuDPpgNHr0aOOee+5xv7fb7UZKSoqRmZnZ4nUMGzbMePTRRw3DMAyHw2EkJSUZzz//vHt6SUmJYbPZjOXLl/uu8DboYvdlXV2dERkZafz5z392t82aNcu46aabfF1qm+br/cjf5IXtyx49ejQbjIYMGeLDKts+f+xHX3z3BiNvP/f06dONG264waMtIyPD+H//7/+533fE70nD8P2+9NV3ZVCfSqupqdHWrVs1fvx4d5vZbNb48eO1YcOG8y5vGIaysrK0d+9eXXXVVZKknJwcFRQUeKwzOjpaGRkZLVpnsLrYfSlJFRUVqq2tPesGf+vXr1dCQoIuvfRS/eQnP9GJEyd8Wntb4o/9yN/khe/L5uzfv18pKSnq1auX7rjjDuXm5l5suW2WP/ajP/9t2rIL+dwbNmzwmF+SJk2adNb8Hel7UvLPvvTVd2VQB6OioiLZ7XYlJiZ6tCcmJqqgoKDZ5UpLS9W5c2dZrVbdcMMN+sMf/qAJEyZIkns5b9cZ7C50Xzb28MMPKyUlxeOPcvLkyXr11VeVlZWlZ599Vh9//LGmTJkiu93u0/rbCn/sR/4mffu5MzIytGzZMq1Zs0Z//OMflZOToyuvvFKnTp262JLbJH/sR3/927R1F/K5CwoKzjt/R/uelPyzL331XRnS4jnbkcjISG3fvl2nT59WVlaW5s2bp169eunqq68OdGlB65lnntGKFSu0fv16hYWFudtvu+029+vLLrtMgwcP1iWXXKL169fruuuuC0SpbVpz+xG+M2XKFPfrwYMHKyMjQz169NCqVav0gx/8IICVoaPie7JtCeojRnFxcbJYLCosLPRoLywsVFJSUrPLmc1m9e7dW0OHDtWDDz6oW265RZmZmZLkXs7bdQa7C92XkvTCCy/omWee0dq1azV48OBzzturVy/FxcXpwIEDF11zW+SP/cjfpH8/d0xMjPr27cvfZIDXGQwu5HMnJSV5vZ/a+/ek5J996avvyqAORlarVSNGjFBWVpa7zeFwKCsrS2PGjGnxehwOh6qrqyVJ6enpSkpK8lhnWVmZNm7c6NU6g82F7svnnntOv/zlL7VmzRqNHDnyvNs5fPiwTpw4oeTkZJ/U3db4Yz/yN3lx/32fz+nTp/X111/zNxngdQaDC/ncY8aM8ZhfktatW3fO/dTevycl/+xLn31XetGBvE1asWKFYbPZjGXLlhnZ2dnGj370IyMmJsYoKCgwDMMw7rzzTmP+/Pnu+Z9++mlj7dq1xtdff21kZ2cbL7zwghESEmK8/PLL7nmeeeYZIyYmxnj77beNL7/80rjppps6zKXR3uzLZ555xrBarcbrr7/ucZnpqVOnDMMwjFOnThkPPfSQsWHDBiMnJ8f48MMPjeHDhxt9+vQxqqqqAvIZW4Ov92P9PPxNnn9fVldXG9u2bTO2bdtmJCcnGw899JCxbds2Y//+/e55HnzwQWP9+vVGTk6O8dlnnxnjx4834uLijGPHjrX652st/tiP51tne+Xtvvzss8+MkJAQ44UXXjB2795tLFy40OMS8476PWkYvt+XhuGb78qgD0aGYRh/+MMfjO7duxtWq9UYPXq08Z///Mc9bdy4ccasWbPc73/+858bvXv3NsLCwozY2FhjzJgxxooVKzzW53A4jMcee8xITEw0bDabcd111xl79+5trY8TUN7syx49ehiSznosXLjQMAzDqKioMCZOnGjEx8cboaGhRo8ePYy777673X9xGoZv96Nh8DfZ0n2Zk5PT5L4cN26ce54ZM2YYycnJhtVqNVJTU40ZM2YYBw4caMVPFBi+3o/nW2d75s2+NAzDWLVqldG3b1/DarUaAwcONN577z33tI78PWkYvt2XhuGb70qTYRhGy48vAQAAtF9B3ccIAADAlwhGAAAALgQjAAAAF4IRAACAC8EIAADAhWAEAADgQjACAABwIRgBAAC4EIwAAABcCEYAgtLVV1+t+++/36MtKytLY8eOVWRkpJKSkvTwww+rrq4uMAUCCEoEIwDtwo4dO3T99ddr8uTJ2rZtm1auXKl//OMfmj9/fqBLAxBEuFcagKAze/Zs/fnPf/Zo+973vqf9+/dr8+bN7rZ33nlH06dP17FjxxQZGdnaZQIIQhwxAhB0fve732nMmDG6++67lZ+fr/z8fCUmJiosLMxjvvDwcFVVVWnr1q0BqhRAsCEYAQg60dHRslqtioiIUFJSkpKSkjRlyhR9/vnnWr58uex2u44cOaInn3xSkpSfnx/gigEEC4IRgHZh4sSJev755/XjH/9YNptNffv21fXXXy9JMpv5qgPQMnxbAGg35s2bp5KSEuXm5qqoqEg33XSTJKlXr14BrgxAsAgJdAEAcCGsVqvsdvtZ7SaTSSkpKZKk5cuXKy0tTcOHD2/t8gAEKYIRgKDUs2dPbdy4UYcOHVLnzp3VpUsX/frXv9bkyZNlNpv1xhtv6JlnntGqVatksVgCXS6AIMHl+gCC0r59+zRr1izt2LFDlZWVysnJ0V133aUvvvhC1dXVGjJkiBYuXKgpU6YEulQAQYRgBAAA4ELnawAAABeCEQAAgAvBCAAAwIVgBAAA4EIwAgAAcCEYAQAAuBCMAAAAXAhGAAAALgQjAAAAF4IRAACAC8EIAADA5f8Db5GUQc0rVe4AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_h5.plot_group_mass_fractions_vs_property('Step 00125', 't9', ['he4', 'c12','o16'], use_latex_names=True, xlim = [0.3,0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multi_H5 "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To make plots from multiple webnucleo HDF5 files, first import the namespace:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import wnutils.multi_h5 as m5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, create an object for the files:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_multi_h5 = m5.Multi_H5(['my_output1.h5', 'my_output2.h5'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot a zone property against a property in multiple files "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can plot a property versus another property in multiple files. For example, to plot the *neutron exposure* versus *time* in our two files:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "zone = ('0','0','0')\n",
    "my_multi_h5.plot_zone_property_vs_property(zone, 'time',('exposure', 'n'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Notice that the *neutron exposure* property is input as a tuple because, in this case, the property identifier has two parts: a *name* string (‘exposure’) and a *tag1* string (‘n’). As discussed in the Reading in the Data tutorial, a property can have a name and up to two tags; thus, the tuple identifying the property could have up to three elements. The neutron exposure is usually labeled *τn* and has units of *mb^−1*, that is, inverse [millibarns](https://en.wikipedia.org/wiki/Barn_(unit)). The difference in the two calculations is that the first was for a mixing timescale of 10^7 seconds while the second was for a mixing timescale of 10^9 seconds. We can thus add a legend:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "p_params = [{'label':'$10^7\\ s$', 'color':'black', 'linestyle':'-'}, {'label':'$10^9\\ s$', 'color':'black', 'linestyle':':'}]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now call the plot method with the plotParams keyword:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_multi_h5.plot_zone_property_vs_property(zone, 'time',('exposure', 'n'), plotParams = p_params, legend={'title':'$\\\\tau_{mix}$'},xlabel='time (yr)', xfactor=3.15e7, ylabel='$\\\\tau_n(mb^{-1})$')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As with **[wnutils.multi_xml](https://wnutils.readthedocs.io/en/latest/wnutils.html#module-wnutils.multi_xml)**, the legend keyword values can be any valid keyword argument to **[matplotlib.pyplot.legend](https://matplotlib.org/api/_as_gen/matplotlib.pyplot.legend.html#matplotlib.pyplot.legend)**. Thus, for example:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "my_multi_h5.plot_zone_property_vs_property(zone, 'time',('exposure', 'n'), plotParams = p_params,legend={'title':'$\\\\tau_{mix}$', 'shadow':True},xlabel='time (yr)', xfactor=3.15e7, ylabel='$\\\\tau_n(mb^{-1})$')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot a zone mass fraction against a property in multiple files "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also plot a mass fraction versus a property in multiple files. For example, to plot the mass fraction of fe56 as a function of time:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "my_multi_h5.plot_zone_mass_fraction_vs_property(zone, 'time', 'fe56', plotParams = p_params, legend={'title':'$\\\\tau_{mix}$'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**[wnutils.multi_h5.Multi_H5](https://wnutils.readthedocs.io/en/latest/wnutils.html#wnutils.multi_h5.Multi_H5)** plotting methods accept valid *rcParams* and other keywords, as in the **[wnutils.h5.H5](https://wnutils.readthedocs.io/en/latest/wnutils.html#wnutils.h5.H5)** methods."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For a tutorial on how to run the data, see the wnutils_make_plots_tutorial notebook. These tutorials can also be found on: https://wnutils.readthedocs.io/en/latest/tutorials.html"
   ]
  }
 ],
 "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": "3.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}