01-nyc-taxi.ipynb

02-custom-futures.ipynb

03-TimeSeries.ipynb

04-custom-etl.ipynb

05-image-manipulation.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Neuro Imaging Data\n",
    "\n",
    "Email from last night from colleague at the NIH:\n",
    "\n",
    "Electron microscopy is probably generating the biggest ndarray datasets in the field - terabytes regularly.  Neuroscience need EM to see connections between neurons because the critical features of neural synapses (connections) are below the diffraction limit of light microscopes.  The hard part is machine vision on the data to follow small neuron parts from one slice to the next.\n",
    "This type of research has been called \"connectomics\".  \n",
    "\n",
    "This data is from drosophila:\n",
    "http://emdata.janelia.org/\n",
    "\n",
    "Here is an example 2d slice of the data.  If you take the below URL and change the last number you can get about 5000 different images.\n",
    "http://emdata.janelia.org/api/node/bf1/grayscale/raw/xy/2000_2000/1800_2300_5000\n",
    "\n",
    "The data is a bit sparse (many black pixels) but it's around a 25GB dataset if you pull down all the slices.  And it's a 3d ndarray.*\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Quick inpsection with Scikit Image and Requests\n",
    "\n",
    "We see that some images are strictly black, others show an oval of activity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import skimage.io\n",
    "import requests\n",
    "%matplotlib inline\n",
    "\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "sample = a = skimage.io.imread('http://emdata.janelia.org/api/node/bf1/grayscale/raw/xy/2000_2000/1800_2300_%d' % 5000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7ff253f5c710>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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kEqGuro7KykqSySSjo6OMjY2RSqWYn5/H6/Xi8XgYHBwkkUiwvLzMww8/THt7OysrK8Ri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\nRMSRFHRFRERExJEUdEVERETEkf5/waq4Hayed/wAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7ff25408f278>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = skimage.io.imread('http://emdata.janelia.org/api/node/bf1/grayscale/raw/xy/2000_2000/1800_2300_%d' % 0)\n",
    "b = skimage.io.imread('http://emdata.janelia.org/api/node/bf1/grayscale/raw/xy/2000_2000/1800_2300_%d' % 2000)\n",
    "c = skimage.io.imread('http://emdata.janelia.org/api/node/bf1/grayscale/raw/xy/2000_2000/1800_2300_%d' % 7000)\n",
    "d = skimage.io.imread('http://emdata.janelia.org/api/node/bf1/grayscale/raw/xy/2000_2000/1800_2300_%d' % 10000)\n",
    "\n",
    "fig, axarr = plt.subplots(2, 2, sharex=True, sharey=True, figsize=(8, 8))\n",
    "axarr[0, 0].imshow(a, cmap='gray')\n",
    "axarr[0, 1].imshow(b, cmap='gray')\n",
    "axarr[1, 0].imshow(c, cmap='gray')\n",
    "axarr[1, 1].imshow(d, cmap='gray')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Use Dask.array to inspect all images in parallel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dask.array<stack-b..., shape=(10000, 2000, 2000), dtype=uint8, chunksize=(1, 2000, 2000)>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import dask.array as da\n",
    "from dask import delayed\n",
    "\n",
    "imread = delayed(skimage.io.imread, pure=True)\n",
    "\n",
    "urls = ['http://emdata.janelia.org/api/node/bf1/grayscale/raw/xy/2000_2000/1800_2300_%d' % i\n",
    "        for i in range(10000)]\n",
    "\n",
    "values = [imread(url) for url in urls]  # lazy evaluation\n",
    "arrays = [da.from_delayed(value, \n",
    "                          dtype=sample.dtype, \n",
    "                          shape=sample.shape)\n",
    "          for value in values]\n",
    "\n",
    "stack = da.stack(arrays, axis=0)\n",
    "stack"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Connect to Cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Client: scheduler=\"localhost:8786\" processes=10 cores=80>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from dask.distributed import Client, progress\n",
    "client = Client('localhost:8786')\n",
    "client"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Compute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda/envs/dask/lib/python3.5/site-packages/skimage/io/_plugins/matplotlib_plugin.py:77: UserWarning: Float image out of standard range; displaying image with stretched contrast.\n",
      "  warn(\"Float image out of standard range; displaying \"\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7ff237fa38d0>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {