jwhendy/Untitled3.ipynb

## Untitled3.ipynb
{
 "cells": [
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### imports and functions\n\nThis code borrows heavily from [bokeh](https://github.com/bokeh/bokeh) after finding out that they have implemented the function [`export_png`](https://bokeh.pydata.org/en/latest/docs/user_guide/export.html) to, well, export `png` files from their web-based plots. This has been requested many times of `plotly` with no solution so I tried applying what `bokeh` does... and it seems to work!\n\n- requests/mentions via `plotly` github: [351](https://github.com/plotly/plotly.py/issues/351), [352](https://github.com/plotly/plotly.py/issues/352), [483](https://github.com/plotly/plotly.py/issues/483), [564](https://github.com/plotly/plotly.py/issues/564), [596](https://github.com/plotly/plotly.py/issues/596), [856](https://github.com/plotly/plotly.py/issues/856), [880](https://github.com/plotly/plotly.py/issues/880)\n- this [question](https://community.plot.ly/t/use-plotly-offline-to-save-chart-as-image-file/408) at the `plotly` community forums\n- [this](https://stackoverflow.com/questions/40243446/how-to-save-plotly-offline-graph-in-format-png) and [this](https://stackoverflow.com/questions/34957790/use-plotly-offline-to-generate-graphs-as-images) on StackOverflow"
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "import io\nimport pandas as pd\nimport plotly\nimport plotly.graph_objs as go\nimport selenium.webdriver\nimport shutil\nimport time\n\nfrom os.path import devnull\nfrom PIL import Image\nfrom subprocess import Popen, PIPE\n\n        \n### from bokeh/util, slightly modified to avoid using bokeh's settings.py\n### - https://github.com/bokeh/bokeh/blob/master/bokeh/util/dependencies.py\ndef detect_phantomjs():\n    '''Detect if PhantomJS is avaiable in PATH.'''\n    try:\n        phantomjs_path = shutil.which('phantomjs')\n    # Python 2 relies on Environment variable in PATH - attempt to use as follows\n    except AttributeError:\n        phantomjs_path = \"phantomjs\"\n\n    try:\n        proc = Popen([phantomjs_path, \"--version\"], stdout=PIPE, stderr=PIPE)\n        proc.wait()\n\n    except OSError:\n        raise RuntimeError('PhantomJS is not present in PATH. Try \"conda install phantomjs\" or \\\n            \"npm install -g phantomjs-prebuilt\"')\n    return phantomjs_path\n       \n\n### from bokeh/io, slightly modified to avoid their import_required util\n### - https://github.com/bokeh/bokeh/blob/master/bokeh/io/export.py\ndef create_default_webdriver():\n    '''Return phantomjs enabled webdriver'''\n    phantomjs_path = detect_phantomjs()\n    return webdriver.PhantomJS(executable_path=phantomjs_path, service_log_path=devnull)",
   "execution_count": 34,
   "outputs": []
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### create a plot\n\nHere we create some data and save the plot as an html file for reading in"
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "df = pd.DataFrame(\n    {'fruits': ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries'],\n     'counts': [5, 3, 4, 2, 4, 6] })\n\ndata = [go.Bar(x=df['fruits'],\n               y=df['counts'])]\n\nhtml_file = 'plotly-fruit-plot.html'\n\nplotly.offline.plot(data, filename=html_file)",
   "execution_count": null,
   "outputs": []
  },
  {
   "metadata": {},
   "cell_type": "markdown",
   "source": "### the magic\n\nThis, again, is stolen entirely from how `bokeh` is doing this. I really don't entirely understand it, for example, how it knows the perimeter of the plot as it's cropped so nicely with no modification from their call. I find that calling `driver.maximize_window()` give a bigger output file, but I needed to wait just a hair or it would grab the screenshot before this too effect. I didn't see any difference between using or omitting the `driver.execute_script()` call, so I left it commented."
  },
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "### create webdrive, open file, maximize, and sleep\ndriver = create_default_webdriver()\ndriver.get(html_file)\ndriver.maximize_window()\n#driver.execute_script(\"document.body.style.width = '100%';\")\ntime.sleep(1)\n\nfname = 'plotly-fruit-plot.png'\n\n### original bokeh call gets byte data\n### - http://selenium-python.readthedocs.io/api.html\n# png = driver.get_screenshot_as_png()\n# image = Image.open(io.BytesIO(png))\n\n### I found this and seems simpler (could eliminate io import)\npng = driver.get_screenshot_as_file(fname)\nimage = Image.open(fname)\ndriver.quit()\n\nimage",
   "execution_count": 46,
   "outputs": [
    {
     "data": {
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      "text/plain": "<PIL.PngImagePlugin.PngImageFile image mode=RGBA size=1366x768 at 0x7F7A8AA329E8>"
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3",
   "language": "python"
  },
  "language_info": {
   "name": "python",
   "version": "3.6.3",
   "mimetype": "text/x-python",
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "pygments_lexer": "ipython3",
   "nbconvert_exporter": "python",
   "file_extension": ".py"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}