Matplotlib Styles

matplotlib_styles.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# matplotlib styles \n",
    "\n",
    "http://stackoverflow.com/questions/26413185/how-to-recover-matplotlib-defaults-after-setting-stylesheet"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "%matplotlib inline\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y = np.random.randint(10, 20, size=50)\n",
    "w = np.random.randint(10, 20, size=50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`%matplotlib inline` has it's own rcParams"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{u'agg.path.chunksize': 0,\n",
       " u'animation.avconv_args': [],\n",
       " u'animation.avconv_path': u'avconv',\n",
       " u'animation.bitrate': -1,\n",
       " u'animation.codec': u'mpeg4',\n",
       " u'animation.convert_args': [],\n",
       " u'animation.convert_path': u'convert',\n",
       " u'animation.ffmpeg_args': [],\n",
       " u'animation.ffmpeg_path': u'ffmpeg',\n",
       " u'animation.frame_format': u'png',\n",
       " u'animation.html': u'none',\n",
       " u'animation.mencoder_args': [],\n",
       " u'animation.mencoder_path': u'mencoder',\n",
       " u'animation.writer': u'ffmpeg',\n",
       " u'axes.axisbelow': False,\n",
       " u'axes.edgecolor': u'k',\n",
       " u'axes.facecolor': u'w',\n",
       " u'axes.formatter.limits': [-7, 7],\n",
       " u'axes.formatter.use_locale': False,\n",
       " u'axes.formatter.use_mathtext': False,\n",
       " u'axes.formatter.useoffset': True,\n",
       " u'axes.grid': False,\n",
       " u'axes.grid.axis': u'both',\n",
       " u'axes.grid.which': u'major',\n",
       " u'axes.hold': True,\n",
       " u'axes.labelcolor': u'k',\n",
       " u'axes.labelpad': 5.0,\n",
       " u'axes.labelsize': u'medium',\n",
       " u'axes.labelweight': u'normal',\n",
       " u'axes.linewidth': 1.0,\n",
       " u'axes.prop_cycle': cycler(u'color', [u'b', u'g', u'r', u'c', u'm', u'y', u'k']),\n",
       " u'axes.spines.bottom': True,\n",
       " u'axes.spines.left': True,\n",
       " u'axes.spines.right': True,\n",
       " u'axes.spines.top': True,\n",
       " u'axes.titlesize': u'large',\n",
       " u'axes.titleweight': u'normal',\n",
       " u'axes.unicode_minus': True,\n",
       " u'axes.xmargin': 0.0,\n",
       " u'axes.ymargin': 0.0,\n",
       " u'axes3d.grid': True,\n",
       " u'backend': 'module://ipykernel.pylab.backend_inline',\n",
       " u'backend.qt4': u'PyQt4',\n",
       " u'backend.qt5': u'PyQt5',\n",
       " u'backend_fallback': True,\n",
       " u'boxplot.bootstrap': None,\n",
       " u'boxplot.boxprops.color': u'b',\n",
       " u'boxplot.boxprops.linestyle': u'-',\n",
       " u'boxplot.boxprops.linewidth': 1.0,\n",
       " u'boxplot.capprops.color': u'k',\n",
       " u'boxplot.capprops.linestyle': u'-',\n",
       " u'boxplot.capprops.linewidth': 1.0,\n",
       " u'boxplot.flierprops.color': u'b',\n",
       " u'boxplot.flierprops.linestyle': u'none',\n",
       " u'boxplot.flierprops.linewidth': 1.0,\n",
       " u'boxplot.flierprops.marker': u'+',\n",
       " u'boxplot.flierprops.markeredgecolor': u'k',\n",
       " u'boxplot.flierprops.markerfacecolor': u'b',\n",
       " u'boxplot.flierprops.markersize': 6.0,\n",
       " u'boxplot.meanline': False,\n",
       " u'boxplot.meanprops.color': u'r',\n",
       " u'boxplot.meanprops.linestyle': u'-',\n",
       " u'boxplot.meanprops.linewidth': 1.0,\n",
       " u'boxplot.medianprops.color': u'r',\n",
       " u'boxplot.medianprops.linestyle': u'-',\n",
       " u'boxplot.medianprops.linewidth': 1.0,\n",
       " u'boxplot.notch': False,\n",
       " u'boxplot.patchartist': False,\n",
       " u'boxplot.showbox': True,\n",
       " u'boxplot.showcaps': True,\n",
       " u'boxplot.showfliers': True,\n",
       " u'boxplot.showmeans': False,\n",
       " u'boxplot.vertical': True,\n",
       " u'boxplot.whiskerprops.color': u'b',\n",
       " u'boxplot.whiskerprops.linestyle': u'--',\n",
       " u'boxplot.whiskerprops.linewidth': 1.0,\n",
       " u'boxplot.whiskers': 1.5,\n",
       " u'contour.corner_mask': True,\n",
       " u'contour.negative_linestyle': u'dashed',\n",
       " u'datapath': u'/usr/local/lib/python2.7/site-packages/matplotlib/mpl-data',\n",
       " u'docstring.hardcopy': False,\n",
       " u'errorbar.capsize': 3.0,\n",
       " u'examples.directory': u'',\n",
       " u'figure.autolayout': False,\n",
       " u'figure.dpi': 80.0,\n",
       " u'figure.edgecolor': (1, 1, 1, 0),\n",
       " u'figure.facecolor': (1, 1, 1, 0),\n",
       " u'figure.figsize': [6.0, 4.0],\n",
       " u'figure.frameon': True,\n",
       " u'figure.max_open_warning': 20,\n",
       " u'figure.subplot.bottom': 0.125,\n",
       " u'figure.subplot.hspace': 0.2,\n",
       " u'figure.subplot.left': 0.125,\n",
       " u'figure.subplot.right': 0.9,\n",
       " u'figure.subplot.top': 0.9,\n",
       " u'figure.subplot.wspace': 0.2,\n",
       " u'figure.titlesize': u'medium',\n",
       " u'figure.titleweight': u'normal',\n",
       " u'font.cursive': [u'Apple Chancery',\n",
       "  u'Textile',\n",
       "  u'Zapf Chancery',\n",
       "  u'Sand',\n",
       "  u'Script MT',\n",
       "  u'Felipa',\n",
       "  u'cursive'],\n",
       " u'font.family': [u'sans-serif'],\n",
       " u'font.fantasy': [u'Comic Sans MS',\n",
       "  u'Chicago',\n",
       "  u'Charcoal',\n",
       "  u'ImpactWestern',\n",
       "  u'Humor Sans',\n",
       "  u'fantasy'],\n",
       " u'font.monospace': [u'Bitstream Vera Sans Mono',\n",
       "  u'DejaVu Sans Mono',\n",
       "  u'Andale Mono',\n",
       "  u'Nimbus Mono L',\n",
       "  u'Courier New',\n",
       "  u'Courier',\n",
       "  u'Fixed',\n",
       "  u'Terminal',\n",
       "  u'monospace'],\n",
       " u'font.sans-serif': [u'Bitstream Vera Sans',\n",
       "  u'DejaVu Sans',\n",
       "  u'Lucida Grande',\n",
       "  u'Verdana',\n",
       "  u'Geneva',\n",
       "  u'Lucid',\n",
       "  u'Arial',\n",
       "  u'Helvetica',\n",
       "  u'Avant Garde',\n",
       "  u'sans-serif'],\n",
       " u'font.serif': [u'Bitstream Vera Serif',\n",
       "  u'DejaVu Serif',\n",
       "  u'New Century Schoolbook',\n",
       "  u'Century Schoolbook L',\n",
       "  u'Utopia',\n",
       "  u'ITC Bookman',\n",
       "  u'Bookman',\n",
       "  u'Nimbus Roman No9 L',\n",
       "  u'Times New Roman',\n",
       "  u'Times',\n",
       "  u'Palatino',\n",
       "  u'Charter',\n",
       "  u'serif'],\n",
       " u'font.size': 10.0,\n",
       " u'font.stretch': u'normal',\n",
       " u'font.style': u'normal',\n",
       " u'font.variant': u'normal',\n",
       " u'font.weight': u'normal',\n",
       " u'grid.alpha': 1.0,\n",
       " u'grid.color': u'k',\n",
       " u'grid.linestyle': u':',\n",
       " u'grid.linewidth': 0.5,\n",
       " u'image.aspect': u'equal',\n",
       " u'image.cmap': u'jet',\n",
       " u'image.composite_image': True,\n",
       " u'image.interpolation': u'bilinear',\n",
       " u'image.lut': 256,\n",
       " u'image.origin': u'upper',\n",
       " u'image.resample': False,\n",
       " u'interactive': True,\n",
       " u'keymap.all_axes': [u'a'],\n",
       " u'keymap.back': [u'left', u'c', u'backspace'],\n",
       " u'keymap.forward': [u'right', u'v'],\n",
       " u'keymap.fullscreen': [u'f', u'ctrl+f'],\n",
       " u'keymap.grid': [u'g'],\n",
       " u'keymap.home': [u'h', u'r', u'home'],\n",
       " u'keymap.pan': [u'p'],\n",
       " u'keymap.quit': [u'ctrl+w', u'cmd+w'],\n",
       " u'keymap.save': [u's', u'ctrl+s'],\n",
       " u'keymap.xscale': [u'k', u'L'],\n",
       " u'keymap.yscale': [u'l'],\n",
       " u'keymap.zoom': [u'o'],\n",
       " u'legend.borderaxespad': 0.5,\n",
       " u'legend.borderpad': 0.4,\n",
       " u'legend.columnspacing': 2.0,\n",
       " u'legend.edgecolor': u'inherit',\n",
       " u'legend.facecolor': u'inherit',\n",
       " u'legend.fancybox': False,\n",
       " u'legend.fontsize': u'large',\n",
       " u'legend.framealpha': None,\n",
       " u'legend.frameon': True,\n",
       " u'legend.handleheight': 0.7,\n",
       " u'legend.handlelength': 2.0,\n",
       " u'legend.handletextpad': 0.8,\n",
       " u'legend.isaxes': True,\n",
       " u'legend.labelspacing': 0.5,\n",
       " u'legend.loc': u'upper right',\n",
       " u'legend.markerscale': 1.0,\n",
       " u'legend.numpoints': 2,\n",
       " u'legend.scatterpoints': 3,\n",
       " u'legend.shadow': False,\n",
       " u'lines.antialiased': True,\n",
       " u'lines.color': u'b',\n",
       " u'lines.dash_capstyle': u'butt',\n",
       " u'lines.dash_joinstyle': u'round',\n",
       " u'lines.linestyle': u'-',\n",
       " u'lines.linewidth': 1.0,\n",
       " u'lines.marker': u'None',\n",
       " u'lines.markeredgewidth': 0.5,\n",
       " u'lines.markersize': 6.0,\n",
       " u'lines.solid_capstyle': u'projecting',\n",
       " u'lines.solid_joinstyle': u'round',\n",
       " u'markers.fillstyle': u'full',\n",
       " u'mathtext.bf': u'serif:bold',\n",
       " u'mathtext.cal': u'cursive',\n",
       " u'mathtext.default': u'it',\n",
       " u'mathtext.fallback_to_cm': True,\n",
       " u'mathtext.fontset': u'cm',\n",
       " u'mathtext.it': u'serif:italic',\n",
       " u'mathtext.rm': u'serif',\n",
       " u'mathtext.sf': u'sans\\\\-serif',\n",
       " u'mathtext.tt': u'monospace',\n",
       " u'nbagg.transparent': True,\n",
       " u'patch.antialiased': True,\n",
       " u'patch.edgecolor': u'k',\n",
       " u'patch.facecolor': u'b',\n",
       " u'patch.linewidth': 1.0,\n",
       " u'path.effects': [],\n",
       " u'path.simplify': True,\n",
       " u'path.simplify_threshold': 0.1111111111111111,\n",
       " u'path.sketch': None,\n",
       " u'path.snap': True,\n",
       " u'pdf.compression': 6,\n",
       " u'pdf.fonttype': 3,\n",
       " u'pdf.inheritcolor': False,\n",
       " u'pdf.use14corefonts': False,\n",
       " u'pgf.debug': False,\n",
       " u'pgf.preamble': [],\n",
       " u'pgf.rcfonts': True,\n",
       " u'pgf.texsystem': u'xelatex',\n",
       " u'plugins.directory': u'.matplotlib_plugins',\n",
       " u'polaraxes.grid': True,\n",
       " u'ps.distiller.res': 6000,\n",
       " u'ps.fonttype': 3,\n",
       " u'ps.papersize': u'letter',\n",
       " u'ps.useafm': False,\n",
       " u'ps.usedistiller': False,\n",
       " u'savefig.bbox': None,\n",
       " u'savefig.directory': u'~',\n",
       " u'savefig.dpi': 72.0,\n",
       " u'savefig.edgecolor': u'w',\n",
       " u'savefig.facecolor': u'w',\n",
       " u'savefig.format': u'png',\n",
       " u'savefig.frameon': True,\n",
       " u'savefig.jpeg_quality': 95,\n",
       " u'savefig.orientation': u'portrait',\n",
       " u'savefig.pad_inches': 0.1,\n",
       " u'savefig.transparent': False,\n",
       " u'svg.fonttype': u'path',\n",
       " u'svg.image_inline': True,\n",
       " u'svg.image_noscale': False,\n",
       " u'text.antialiased': True,\n",
       " u'text.color': u'k',\n",
       " u'text.dvipnghack': None,\n",
       " u'text.hinting': u'auto',\n",
       " u'text.hinting_factor': 8,\n",
       " u'text.latex.preamble': [],\n",
       " u'text.latex.preview': False,\n",
       " u'text.latex.unicode': False,\n",
       " u'text.usetex': False,\n",
       " u'timezone': u'UTC',\n",
       " u'tk.window_focus': False,\n",
       " u'toolbar': u'toolbar2',\n",
       " u'verbose.fileo': u'sys.stdout',\n",
       " u'verbose.level': u'silent',\n",
       " u'webagg.open_in_browser': True,\n",
       " u'webagg.port': 8988,\n",
       " u'webagg.port_retries': 50,\n",
       " u'xtick.color': u'k',\n",
       " u'xtick.direction': u'in',\n",
       " u'xtick.labelsize': u'medium',\n",
       " u'xtick.major.pad': 4.0,\n",
       " u'xtick.major.size': 4.0,\n",
       " u'xtick.major.width': 0.5,\n",
       " u'xtick.minor.pad': 4.0,\n",
       " u'xtick.minor.size': 2.0,\n",
       " u'xtick.minor.visible': False,\n",
       " u'xtick.minor.width': 0.5,\n",
       " u'ytick.color': u'k',\n",
       " u'ytick.direction': u'in',\n",
       " u'ytick.labelsize': u'medium',\n",
       " u'ytick.major.pad': 4.0,\n",
       " u'ytick.major.size': 4.0,\n",
       " u'ytick.major.width': 0.5,\n",
       " u'ytick.minor.pad': 4.0,\n",
       " u'ytick.minor.size': 2.0,\n",
       " u'ytick.minor.visible': False,\n",
       " u'ytick.minor.width': 0.5}"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "inline_rc = dict(mpl.rcParams)\n",
    "inline_rc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Figure size for inline plots "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[6.0, 4.0]"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "inline_rc['figure.figsize']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Styles available (not all pretty)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[u'seaborn-darkgrid',\n",
       " u'seaborn-notebook',\n",
       " u'classic',\n",
       " u'seaborn-ticks',\n",
       " u'grayscale',\n",
       " u'bmh',\n",
       " u'seaborn-talk',\n",
       " u'dark_background',\n",
       " u'ggplot',\n",
       " u'fivethirtyeight',\n",
       " u'seaborn-colorblind',\n",
       " u'seaborn-deep',\n",
       " u'seaborn-whitegrid',\n",
       " u'seaborn-bright',\n",
       " u'seaborn-poster',\n",
       " u'seaborn-muted',\n",
       " u'seaborn-paper',\n",
       " u'seaborn-white',\n",
       " u'seaborn-pastel',\n",
       " u'seaborn-dark',\n",
       " u'seaborn-dark-palette']"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.style.available"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10dac21d0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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BfrvqGMi9qEFCsYiR1GzHEnPSvpNQehTA4cOhHzU2jd7feML5It0qeSLCeJTL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\nAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10d8df1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mpl.rcParams.update(inline_rc)\n",
    "#plt.style.use('seaborn-dark-palette')\n",
    "plt.xkcd()\n",
    "plt.plot(y, alpha=0.5)\n",
    "plt.plot(w, alpha=0.5)\n",
    "plt.xlabel(\"Stuff moves right\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}