plotly-offline.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotly / Cufflinks Configuration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import cufflinks\n",
    "import plotly\n",
    "\n",
    "\n",
    "plotly.offline.init_notebook_mode()\n",
    "cufflinks.set_config_file(offline=True, offline_show_link=False, theme='ggplot')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas\n",
    "import random\n",
    "\n",
    "frame = pandas.DataFrame(pandas.np.random.randn(50, 4), columns=list('ABCD'))\n",
    "frame.iplot()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dockerfile\n",
    "\n",
    "```\n",
    "FROM amancevice/pandas:0.18.1\n",
    "\n",
    "RUN apk add --no-cache g++\n",
    "RUN pip install cufflinks==0.7.1 jupyter==1.0.0 plotly==1.9.5\n",
    "\n",
    "EXPOSE 8888\n",
    "\n",
    "WORKDIR /notebooks\n",
    "\n",
    "CMD jupyter notebook --ip=* --no-browser\n",
    "```\n",
    "\n",
    "## Docker Build / Run\n",
    "\n",
    "```\n",
    "docker build -t plotly .\n",
    "docker run --rm -it --name plotly -p 8888:8888 -v $(pwd):/notebooks plotly\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "backports-abc==0.4\r\n",
      "backports.shutil-get-terminal-size==1.0.0\r\n",
      "certifi==2016.8.8\r\n",
      "colorlover==0.2.1\r\n",
      "configparser==3.5.0\r\n",
      "cufflinks==0.7.1\r\n",
      "decorator==4.0.10\r\n",
      "entrypoints==0.2.2\r\n",
      "functools32==3.2.3.post2\r\n",
      "ipykernel==4.4.1\r\n",
      "ipython==5.1.0\r\n",
      "ipython-genutils==0.1.0\r\n",
      "ipywidgets==5.2.2\r\n",
      "Jinja2==2.8\r\n",
      "jsonschema==2.5.1\r\n",
      "jupyter==1.0.0\r\n",
      "jupyter-client==4.3.0\r\n",
      "jupyter-console==5.0.0\r\n",
      "jupyter-core==4.1.1\r\n",
      "MarkupSafe==0.23\r\n",
      "mistune==0.7.3\r\n",
      "nbconvert==4.2.0\r\n",
      "nbformat==4.1.0\r\n",
      "notebook==4.2.2\r\n",
      "numpy==1.11.0\r\n",
      "pandas==0.18.1\r\n",
      "pathlib2==2.1.0\r\n",
      "pexpect==4.2.0\r\n",
      "pickleshare==0.7.4\r\n",
      "plotly==1.9.5\r\n",
      "prompt-toolkit==1.0.6\r\n",
      "ptyprocess==0.5.1\r\n",
      "Pygments==2.1.3\r\n",
      "python-dateutil==2.5.3\r\n",
      "pytz==2016.4\r\n",
      "pyzmq==15.4.0\r\n",
      "qtconsole==4.2.1\r\n",
      "requests==2.11.0\r\n",
      "simplegeneric==0.8.1\r\n",
      "singledispatch==3.4.0.3\r\n",
      "six==1.10.0\r\n",
      "terminado==0.6\r\n",
      "tornado==4.4.1\r\n",
      "traitlets==4.2.2\r\n",
      "wcwidth==0.1.7\r\n",
      "widgetsnbextension==1.2.6\r\n"
     ]
    }
   ],
   "source": [
    "!pip freeze"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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