{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### New to Plotly?\n",
    "Plotly's Python library is free and open source! [Get started](https://plotly.com/python/getting-started/) by downloading the client and [reading the primer](https://plotly.com/python/getting-started/).\n",
    "<br>You can set up Plotly to work in [online](https://plotly.com/python/getting-started/#initialization-for-online-plotting) or [offline](https://plotly.com/python/getting-started/#initialization-for-offline-plotting) mode, or in [jupyter notebooks](https://plotly.com/python/getting-started/#start-plotting-online).\n",
    "<br>We also have a quick-reference [cheatsheet](https://images.plot.ly/plotly-documentation/images/python_cheat_sheet.pdf) (new!) to help you get started!\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Logarithmic Axes ###"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<iframe id=\"igraph\" scrolling=\"no\" style=\"border:none;\" seamless=\"seamless\" src=\"https://plotly.com/~Diksha_Gabha/469.embed\" height=\"525px\" width=\"100%\"></iframe>"
      ],
      "text/plain": [
       "<plotly.tools.PlotlyDisplay object>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import plotly.plotly as py\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "trace1 = go.Scatter(\n",
    "    x=[0, 1, 2, 3, 4, 5, 6, 7, 8],\n",
    "    y=[8, 7, 6, 5, 4, 3, 2, 1, 0]\n",
    ")\n",
    "trace2 = go.Scatter(\n",
    "    x=[0, 1, 2, 3, 4, 5, 6, 7, 8],\n",
    "    y=[0, 1, 2, 3, 4, 5, 6, 7, 8]\n",
    ")\n",
    "data = [trace1, trace2]\n",
    "layout = go.Layout(\n",
    "    xaxis=dict(\n",
    "        type='log',\n",
    "        autorange=True\n",
    "    ),\n",
    "    yaxis=dict(\n",
    "        type='log',\n",
    "        autorange=True\n",
    "    )\n",
    ")\n",
    "fig = go.Figure(data=data, layout=layout)\n",
    "py.iplot(fig)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Reference\n",
    "See https://plotly.com/python/reference/#layout-xaxis-type for more information and chart attribute options!\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<link href=\"//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700rel=\"stylesheet\" type=\"text/css\" />"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<link rel=\"stylesheet\" type=\"text/csshref=\"http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting git+https://github.com/plotly/publisher.git\n",
      "  Cloning https://github.com/plotly/publisher.git to /var/folders/ld/6cl3s_l50wd40tdjq2b03jxh0000gp/T/pip-zprjdfa1-build\n",
      "Installing collected packages: publisher\n",
      "  Found existing installation: publisher 0.10\n",
      "    Uninstalling publisher-0.10:\n",
      "      Successfully uninstalled publisher-0.10\n",
      "  Running setup.py install for publisher ... \u001b[?25l-\b \b\\\b \b|\b \bdone\n",
      "\u001b[?25hSuccessfully installed publisher-0.10\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/brandendunbar/Desktop/test/venv/lib/python2.7/site-packages/IPython/nbconvert.py:13: ShimWarning: The `IPython.nbconvert` package has been deprecated. You should import from nbconvert instead.\n",
      "  \"You should import from nbconvert instead.\", ShimWarning)\n",
      "/Users/brandendunbar/Desktop/test/venv/lib/python2.7/site-packages/publisher/publisher.py:53: UserWarning: Did you \"Save\" this notebook before running this command? Remember to save, always save.\n",
      "  warnings.warn('Did you \"Save\" this notebook before running this command? '\n"
     ]
    }
   ],
   "source": [
    "from IPython.display import display, HTML\n",
    "\n",
    "display(HTML('<link href=\"//fonts.googleapis.com/css?family=Open+Sans:600,400,300,200|Inconsolata|Ubuntu+Mono:400,700rel=\"stylesheet\" type=\"text/css\" />'))\n",
    "display(HTML('<link rel=\"stylesheet\" type=\"text/csshref=\"http://help.plot.ly/documentation/all_static/css/ipython-notebook-custom.css\">'))\n",
    "\n",
    "! pip install git+https://github.com/plotly/publisher.git --upgrade\n",
    "\n",
    "import publisher\n",
    "publisher.publish(\n",
    "    'log-axes.ipynb', 'python/log-plot/', ' Python Log Plots | Plotly',\n",
    "    'How to make Log plots in Python with Plotly.',\n",
    "    title = 'Python Log Plots | plotly',\n",
    "    name = 'Log Plots',\n",
    "    has_thumbnail='true', thumbnail=' thumbnail/log.jpg', \n",
    "    language='python',\n",
    "    display_as='scientific', order=1,\n",
    "    ipynb= '~notebook_demo/31')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "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": "2.7.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}