figure-bibiplots.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Figure: bibiplots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook\n",
    "\n",
    "import numpy as np\n",
    "import pylab as plt\n",
    "import seaborn as sns; sns.set()\n",
    "import pickle\n",
    "import matplotlib\n",
    "\n",
    "import sparseRRR\n",
    "\n",
    "def sns_styleset():\n",
    "    sns.set_context('paper')\n",
    "    sns.set_style('ticks')\n",
    "    matplotlib.rcParams['axes.linewidth']    = .5\n",
    "    matplotlib.rcParams['xtick.major.width'] = .5\n",
    "    matplotlib.rcParams['ytick.major.width'] = .5\n",
    "    matplotlib.rcParams['xtick.major.size'] = 2\n",
    "    matplotlib.rcParams['ytick.major.size'] = 2\n",
    "    matplotlib.rcParams['xtick.minor.size'] = 1\n",
    "    matplotlib.rcParams['ytick.minor.size'] = 1\n",
    "    matplotlib.rcParams['font.size']       = 6\n",
    "    matplotlib.rcParams['axes.titlesize']  = 7\n",
    "    matplotlib.rcParams['axes.labelsize']  = 6\n",
    "    matplotlib.rcParams['legend.fontsize'] = 6\n",
    "    matplotlib.rcParams['xtick.labelsize'] = 6\n",
    "    matplotlib.rcParams['ytick.labelsize'] = 6\n",
    "    matplotlib.rcParams['figure.dpi'] = 120     # only affects the notebook\n",
    "\n",
    "sns_styleset()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess(data):\n",
    "    X = data['counts'][:,data['mostVariableGenes']] / np.sum(data['counts'], axis=1) * 1e+6\n",
    "    X = np.array(X)\n",
    "    X = np.log2(X + 1)\n",
    "    X = X - np.mean(X, axis=0)\n",
    "    X = X / np.std(X, axis=0)\n",
    "\n",
    "    Y = data['ephys']\n",
    "    Y = Y - np.mean(Y, axis=0)\n",
    "    Y = Y / np.std(Y, axis=0)\n",
    "    \n",
    "    return (X,Y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def adjustlabels(fig, labels, max_iter=1000, eps=0.01, delta=0.1):\n",
    "    N = len(labels)\n",
    "    widths = np.zeros(N)\n",
    "    heights = np.zeros(N)\n",
    "    centers = np.zeros((N, 2))\n",
    "    for i,l in enumerate(labels):\n",
    "        bb = l.get_window_extent(renderer=fig.canvas.get_renderer())\n",
    "        bb = bb.transformed(plt.gca().transData.inverted())\n",
    "        widths[i] = bb.width\n",
    "        heights[i] = bb.height\n",
    "        centers[i] = (bb.min + bb.max)/2\n",
    "\n",
    "    for i in range(max_iter):\n",
    "        stop = True\n",
    "        for a in range(N):\n",
    "            for b in range(N):\n",
    "                if ((a!=b) and\n",
    "                    (np.abs(centers[a,0]-centers[b,0]) < (widths[a]+widths[b])/2 + delta) and\n",
    "                    (np.abs(centers[a,1]-centers[b,1]) < (heights[a]+heights[b])/2 +  delta)):\n",
    "                    \n",
    "                    d = centers[a] - centers[b]\n",
    "                    centers[a] += d * eps\n",
    "                    centers[b] -= d * eps\n",
    "                    labels[a].set_position(centers[a])\n",
    "                    labels[b].set_position(centers[b])\n",
    "                    stop = False\n",
    "        if stop:\n",
    "            break"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Genes selected: 20\n",
      "Genes selected: 20\n",
      "Genes selected: 20\n",
      "Genes selected: 20\n",
      "\n",
      "Consistency check of gouwens2020 ephys names: \n",
      "\n",
      "gouwens2020 long ephys names to show:  ['spc2 first AP dv' 'spc1 spk. thr. v' 'tau' 'input resistance'\n",
      " 'short sq. AP1 downstroke' 'spc0 spk. width' 'spc0 first AP v'\n",
      " 'rheobase i' 'short sq. AP1 up-down ratio' 'spc0 spk. up-down ratio']\n",
      "gouwens2020 short ephys names to show:  ['Spc2 AP1 dv' 'Spc1 thresh.' 'Tau' 'R_input' 'Short sq. AP1 downstroke'\n",
      " 'Spc0 AP width' 'Spc0 AP1 v' 'Rheobase' 'Short sq. AP1 UDR' 'Spc0 UDR']\n"
     ]
    }
   ],
   "source": [
    "data = pickle.load(open('data/scala2020.pickle', 'rb'))\n",
    "X,Y = preprocess(data)\n",
    "genes = data['genes'][data['mostVariableGenes']]\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=.45, alpha=1)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))\n",
    "\n",
    "data = pickle.load(open('data/scala2019.pickle', 'rb'))\n",
    "X,Y = preprocess(data)\n",
    "genes = data['genes'][data['mostVariableGenes']]\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=.95, alpha=.5)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))\n",
    "\n",
    "data = pickle.load(open('data/cadwell2016.pickle', 'rb'))\n",
    "X,Y = preprocess(data)\n",
    "genes = data['genes'][data['mostVariableGenes']]\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=1.6, alpha=.5)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))\n",
    "\n",
    "data = pickle.load(open('data/gouwens2020.pickle', 'rb'))\n",
    "X=data['counts'].toarray().astype('float64')\n",
    "Y=data['ephys']\n",
    "genes = data['genes']\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=1.12, alpha=1)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))\n",
    "\n",
    "# Use ephys features to show on plot showing the 10 highest L2 correlation norm with sRRR component 1 and 2 \n",
    "corr_norm=np.zeros((Y.shape[1],2))\n",
    "for i in range(Y.shape[1]):\n",
    "    corr_norm[i,0]=np.corrcoef(Y[:,i],(X@w)[:,0])[0,1]\n",
    "    corr_norm[i,1]=np.corrcoef(Y[:,i],(X@w)[:,1])[0,1]\n",
    "gouwens_2020_ephys_features_indices=np.argsort(np.linalg.norm(corr_norm, ord=2,axis=1))[-10:]\n",
    "gouwens_2020_ephys_features_to_show=data['ephysNames'][gouwens_2020_ephys_features_indices]\n",
    "print('\\nConsistency check of gouwens2020 ephys names: \\n')\n",
    "print('gouwens2020 long ephys names to show: ', gouwens_2020_ephys_features_to_show)\n",
    "gouwens_2020_ephys_features_to_show_short_names=np.array(['Spc2 AP1 dv', 'Spc1 thresh.', 'Tau', 'R_input', \\\n",
    "                                                          'Short sq. AP1 downstroke', 'Spc0 AP width', \\\n",
    "                                                          'Spc0 AP1 v', 'Rheobase', 'Short sq. AP1 UDR', \\\n",
    "                                                          'Spc0 UDR'])\n",
    "print('gouwens2020 short ephys names to show: ', gouwens_2020_ephys_features_to_show_short_names)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
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       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / mpl.ratio,\n",
       "        fig.canvas.height / mpl.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / mpl.ratio;\n",
       "    fig.root.removeEventListener('remove', this._remove_fig_handler);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / mpl.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function () {\n",
       "    this.close_ws(this, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "    el.addEventListener('remove', this._remove_fig_handler);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<img 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\" width=\"599.5\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(5, 9))\n",
    "\n",
    "titles = ['Cadwell et al. 2016', 'Scala et al. 2019', 'Scala et al. 2020', 'Gouwens et al. 2020']\n",
    "files = ['cadwell2016.pickle', 'scala2019.pickle', 'scala2020.pickle', 'gouwens2020.pickle']\n",
    "lambdas = [1.6, .95, .45, 1.12]\n",
    "alphas = [.5, .5, 1, 1]\n",
    "sizes = [5, 5, 3, 3]\n",
    "scaleFactor = 3.5\n",
    "xylim = 3.9\n",
    "\n",
    "for dataset in range(4):\n",
    "    if dataset==3:\n",
    "        data = pickle.load(open('data/' + files[dataset], 'rb'))\n",
    "        X=data['counts'].toarray().astype('float64')\n",
    "        Y=data['ephys']\n",
    "        genes = data['genes']\n",
    "    else:\n",
    "        data = pickle.load(open('data/' + files[dataset], 'rb'))\n",
    "        X,Y = preprocess(data)\n",
    "        genes = data['genes'][data['mostVariableGenes']]\n",
    "    \n",
    "    w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=lambdas[dataset], \n",
    "                                                      alpha=alphas[dataset])\n",
    "    Zx = X @ w\n",
    "    Zy = Y @ v\n",
    "    Zx = Zx / np.std(Zx, axis=0)\n",
    "    Zy = Zy / np.std(Zy, axis=0)\n",
    "    \n",
    "    if dataset==0:\n",
    "        colors = np.zeros((5,3))\n",
    "        colors[0,:] = [217,95,2]\n",
    "        colors[-1,:] = [27,158,119]\n",
    "        for i in range(1,4):\n",
    "            colors[i,:] = colors[0,:] * (5-i)/4 + colors[-1,:] * i/4\n",
    "        colors = colors/256\n",
    "        colors = [colors[t-1] for t in data['cellTypes']]\n",
    "    elif dataset==1:\n",
    "        colors = ['red' if t=='S1' else 'orange' for t in data['regions']]\n",
    "    elif (dataset==2) | (dataset==3):\n",
    "        colors = [data['colors'][t] for t in data['ttype']]\n",
    "    \n",
    "    plt.subplot(4, 2, (2*dataset)+1, aspect='equal')\n",
    "    plt.scatter(Zx[:,0], Zx[:,1], s=sizes[dataset], color=colors)\n",
    "    \n",
    "    plt.ylim([-xylim, xylim])\n",
    "    plt.xlim([-xylim, xylim])\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "    # plt.title(titles[dataset])\n",
    "#     if dataset==0:\n",
    "#         plt.ylabel('RNA expression', fontsize=7)\n",
    "\n",
    "    labels = []\n",
    "    L = np.corrcoef(np.concatenate((Zx[:,:2], X), axis=1), rowvar=False)[2:,:2]\n",
    "    for i in np.where(w[:,0]!=0)[0]:\n",
    "        plt.plot([0, scaleFactor*L[i,0]], [0, scaleFactor*L[i,1]], linewidth=.75, color=[.4, .4, .4],\n",
    "             zorder=1)\n",
    "        t = plt.text(scaleFactor*L[i,0], scaleFactor*L[i,1], genes[i], \n",
    "             ha='center', va='center', color='k', fontsize=6,\n",
    "             bbox=dict(facecolor='w', edgecolor='#777777', boxstyle='round', linewidth=.5, pad=.2))\n",
    "        labels.append(t)\n",
    "    adjustlabels(fig, labels)\n",
    "    circ = plt.Circle((0,0), radius=scaleFactor, color=[.4, .4, .4], fill=False, linewidth=.5)\n",
    "    plt.gca().add_patch(circ)\n",
    "\n",
    "    plt.subplot(4, 2, (2*dataset)+2, aspect='equal')\n",
    "    plt.scatter(Zy[:,0], Zy[:,1], s=sizes[dataset], color=colors)\n",
    "    \n",
    "    plt.ylim([-xylim, xylim])\n",
    "    plt.xlim([-xylim, xylim])\n",
    "    plt.xticks([])\n",
    "    plt.yticks([])\n",
    "\n",
    "    labels = []\n",
    "    L = np.corrcoef(np.concatenate((Zy[:,:2], Y), axis=1), rowvar=False)[2:,:2]\n",
    "    if dataset==3:\n",
    "        for j, i in enumerate(gouwens_2020_ephys_features_indices):\n",
    "            plt.plot([0, scaleFactor*L[i,0]], [0, scaleFactor*L[i,1]], linewidth=.75, color=[.4, .4, .4],\n",
    "                 zorder=1)\n",
    "            t = plt.text(scaleFactor*L[i,0], scaleFactor*L[i,1], gouwens_2020_ephys_features_to_show_short_names[j], \n",
    "                 ha='center', va='center', color='k', fontsize=6,\n",
    "                 bbox=dict(facecolor='w', edgecolor='#777777', boxstyle='round', linewidth=.5, pad=.2))\n",
    "            labels.append(t)\n",
    "    else:\n",
    "        for i in range(Y.shape[1]):\n",
    "            plt.plot([0, scaleFactor*L[i,0]], [0, scaleFactor*L[i,1]], linewidth=.75, color=[.4, .4, .4],\n",
    "                 zorder=1)\n",
    "            t = plt.text(scaleFactor*L[i,0], scaleFactor*L[i,1], data['ephysNames'][i], \n",
    "                 ha='center', va='center', color='k', fontsize=6,\n",
    "                 bbox=dict(facecolor='w', edgecolor='#777777', boxstyle='round', linewidth=.5, pad=.2))\n",
    "            labels.append(t)\n",
    "    adjustlabels(fig, labels)\n",
    "    circ = plt.Circle((0,0), radius=scaleFactor, color=[.4, .4, .4], fill=False, linewidth=.5)\n",
    "    plt.gca().add_patch(circ)\n",
    "    \n",
    "sns.despine(left=True, bottom=True)\n",
    "plt.tight_layout()\n",
    "\n",
    "fig.text(.39, .982, 'a', fontsize=8, fontweight='bold')\n",
    "fig.text(.39, .734, 'b', fontsize=8, fontweight='bold')\n",
    "fig.text(.39, .488, 'c', fontsize=8, fontweight='bold')\n",
    "fig.text(.39, .24, 'd', fontsize=8, fontweight='bold')\n",
    "\n",
    "fig.text(.42, .982, 'Cadwell et al. 2016', fontsize=8)\n",
    "fig.text(.42, .734, 'Scala et al. 2019', fontsize=8)\n",
    "fig.text(.42, .488, 'Scala et al. 2020', fontsize=8)\n",
    "fig.text(.42, .24, 'Gouwens et al. 2020', fontsize=8)\n",
    "\n",
    "plt.savefig('figures/bibiplots.png', dpi=200)\n",
    "plt.savefig('figures/bibiplots.pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stability"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Genes selected: 20\n",
      "Genes selected: 20\n"
     ]
    }
   ],
   "source": [
    "data = pickle.load(open('data/scala2019.pickle', 'rb'))\n",
    "X,Y = preprocess(data)\n",
    "\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=.95, alpha=.5)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))\n",
    "\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=.392, alpha=1)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".................................................................................................... \n",
      ".................................................................................................... \n",
      "CPU times: user 46.9 s, sys: 534 ms, total: 47.4 s\n",
      "Wall time: 11.8 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "bootCounts_05 = sparseRRR.elastic_rrr_bootstrap(X, Y, rank=2, lambdau=.95, alpha=.5, nrep=100)\n",
    "bootCounts_10 = sparseRRR.elastic_rrr_bootstrap(X, Y, rank=2, lambdau=.392, alpha=1, nrep=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.89 0.83 0.79 0.75 0.73 0.73 0.7  0.68 0.63 0.53 0.44 0.44 0.44 0.38\n",
      " 0.37 0.36 0.35 0.32 0.31 0.3 ]\n",
      "0.55\n",
      "0.19\n",
      "\n",
      "[0.82 0.79 0.68 0.66 0.64 0.63 0.59 0.54 0.51 0.51 0.47 0.43 0.37 0.35\n",
      " 0.3  0.29 0.28 0.26 0.26 0.25]\n",
      "0.48\n",
      "0.18\n"
     ]
    }
   ],
   "source": [
    "print(np.sort(bootCounts_05)[::-1][:20])\n",
    "\n",
    "print('{:.2f}'.format(np.mean(np.sort(bootCounts_05)[::-1][:20])))\n",
    "print('{:.2f}'.format(np.std (np.sort(bootCounts_05)[::-1][:20])))\n",
    "\n",
    "print('')\n",
    "print(np.sort(bootCounts_10)[::-1][:20])\n",
    "\n",
    "print('{:.2f}'.format(np.mean(np.sort(bootCounts_10)[::-1][:20])))\n",
    "print('{:.2f}'.format(np.std (np.sort(bootCounts_10)[::-1][:20])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Genes selected: 20\n",
      "Genes selected: 20\n"
     ]
    }
   ],
   "source": [
    "data = pickle.load(open('data/cadwell2016.pickle', 'rb'))\n",
    "X,Y = preprocess(data)\n",
    "\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=1.6, alpha=.5)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))\n",
    "\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=.55, alpha=1)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".................................................................................................... \n",
      ".................................................................................................... \n",
      "CPU times: user 59.8 s, sys: 969 ms, total: 1min\n",
      "Wall time: 15.3 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "bootCounts_05 = sparseRRR.elastic_rrr_bootstrap(X, Y, rank=2, lambdau=1.6, alpha=.5, nrep=100)\n",
    "bootCounts_10 = sparseRRR.elastic_rrr_bootstrap(X, Y, rank=2, lambdau=.55, alpha= 1, nrep=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0.67 0.49 0.45 0.45 0.44 0.4  0.37 0.36 0.34 0.33 0.33 0.3  0.26 0.24\n",
      " 0.23 0.23 0.23 0.23 0.22 0.22]\n",
      "0.34\n",
      "0.12\n",
      "\n",
      "[0.54 0.36 0.34 0.33 0.31 0.27 0.27 0.26 0.24 0.22 0.22 0.2  0.18 0.18\n",
      " 0.17 0.16 0.16 0.16 0.15 0.14]\n",
      "0.24\n",
      "0.10\n"
     ]
    }
   ],
   "source": [
    "print(np.sort(bootCounts_05)[::-1][:20])\n",
    "\n",
    "print('{:.2f}'.format(np.mean(np.sort(bootCounts_05)[::-1][:20])))\n",
    "print('{:.2f}'.format(np.std (np.sort(bootCounts_05)[::-1][:20])))\n",
    "\n",
    "print('')\n",
    "print(np.sort(bootCounts_10)[::-1][:20])\n",
    "\n",
    "print('{:.2f}'.format(np.mean(np.sort(bootCounts_10)[::-1][:20])))\n",
    "print('{:.2f}'.format(np.std (np.sort(bootCounts_10)[::-1][:20])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Genes selected: 20\n",
      "Genes selected: 20\n"
     ]
    }
   ],
   "source": [
    "data = pickle.load(open('data/scala2020.pickle', 'rb'))\n",
    "X,Y = preprocess(data)\n",
    "\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=1.47, alpha=.5)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))\n",
    "\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=.45, alpha=1)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".................................................................................................... \n",
      ".................................................................................................... \n",
      "CPU times: user 3min 34s, sys: 2.94 s, total: 3min 37s\n",
      "Wall time: 54.6 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "bootCounts_05 = sparseRRR.elastic_rrr_bootstrap(X, Y, rank=2, lambdau=1.47, alpha=.5, nrep=100)\n",
    "bootCounts_10 = sparseRRR.elastic_rrr_bootstrap(X, Y, rank=2, lambdau=0.45, alpha= 1, nrep=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.   1.   1.   1.   1.   1.   1.   1.   1.   0.99 0.9  0.9  0.87 0.8\n",
      " 0.78 0.66 0.6  0.55 0.5  0.47]\n",
      "0.85\n",
      "0.19\n",
      "\n",
      "[1.   1.   1.   1.   0.99 0.98 0.98 0.97 0.96 0.9  0.89 0.76 0.68 0.67\n",
      " 0.67 0.63 0.53 0.49 0.48 0.47]\n",
      "0.80\n",
      "0.20\n"
     ]
    }
   ],
   "source": [
    "print(np.sort(bootCounts_05)[::-1][:20])\n",
    "\n",
    "print('{:.2f}'.format(np.mean(np.sort(bootCounts_05)[::-1][:20])))\n",
    "print('{:.2f}'.format(np.std (np.sort(bootCounts_05)[::-1][:20])))\n",
    "\n",
    "print('')\n",
    "print(np.sort(bootCounts_10)[::-1][:20])\n",
    "\n",
    "print('{:.2f}'.format(np.mean(np.sort(bootCounts_10)[::-1][:20])))\n",
    "print('{:.2f}'.format(np.std (np.sort(bootCounts_10)[::-1][:20])))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Genes selected: 20\n",
      "Genes selected: 20\n"
     ]
    }
   ],
   "source": [
    "data = pickle.load(open('data/gouwens2020.pickle', 'rb'))\n",
    "\n",
    "# Already preprocessed\n",
    "X=data['counts'].toarray().astype('float64')\n",
    "Y=data['ephys']\n",
    "\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=3.9, alpha=.5)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))\n",
    "\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=1.12, alpha=1)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".................................................................................................... \n",
      ".................................................................................................... \n",
      "CPU times: user 25min 2s, sys: 38.4 s, total: 25min 40s\n",
      "Wall time: 6min 45s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "bootCounts_05 = sparseRRR.elastic_rrr_bootstrap(X, Y, rank=2, lambdau=3.9,  alpha=.5, nrep=100)\n",
    "bootCounts_10 = sparseRRR.elastic_rrr_bootstrap(X, Y, rank=2, lambdau=1.12, alpha= 1, nrep=100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[1.   1.   1.   1.   1.   1.   1.   1.   0.96 0.93 0.87 0.87 0.79 0.79\n",
      " 0.78 0.77 0.5  0.49 0.45 0.42]\n",
      "0.83\n",
      "0.20\n",
      "\n",
      "[1.   1.   1.   1.   1.   1.   1.   1.   0.99 0.99 0.98 0.97 0.87 0.82\n",
      " 0.81 0.74 0.74 0.72 0.71 0.58]\n",
      "0.90\n",
      "0.13\n"
     ]
    }
   ],
   "source": [
    "print(np.sort(bootCounts_05)[::-1][:20])\n",
    "\n",
    "print('{:.2f}'.format(np.mean(np.sort(bootCounts_05)[::-1][:20])))\n",
    "print('{:.2f}'.format(np.std (np.sort(bootCounts_05)[::-1][:20])))\n",
    "\n",
    "print('')\n",
    "print(np.sort(bootCounts_10)[::-1][:20])\n",
    "\n",
    "print('{:.2f}'.format(np.mean(np.sort(bootCounts_10)[::-1][:20])))\n",
    "print('{:.2f}'.format(np.std (np.sort(bootCounts_10)[::-1][:20])))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Witten bibiplot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Genes selected: 20\n",
      "12\n",
      "12345678\n",
      "Genes selected: 10\n",
      "Genes selected: 10\n",
      "Genes selected: 20\n"
     ]
    }
   ],
   "source": [
    "data = pickle.load(open('data/scala2020.pickle', 'rb'))\n",
    "X,Y = preprocess(data)\n",
    "genes = data['genes'][data['mostVariableGenes']]\n",
    "\n",
    "w,v = sparseRRR.relaxed_elastic_rrr(X, Y, rank=2, lambdau=.45, alpha=1)\n",
    "print('Genes selected: {}'.format(np.sum(w[:,0]!=0)))\n",
    "\n",
    "import rpy2.robjects.numpy2ri\n",
    "rpy2.robjects.numpy2ri.activate()\n",
    "\n",
    "from rpy2.robjects.packages import importr\n",
    "pma = importr(\"PMA\")\n",
    "out = pma.CCA(X, Y, typex=\"standard\", typez=\"standard\", standardize=False, K=2, penaltyx=.083)\n",
    "\n",
    "d = { key : out.rx2(key) for key in out.names }\n",
    "w2 = np.asarray(d['u'])\n",
    "v2 = np.asarray(d['v'])\n",
    "\n",
    "print('Genes selected: {}'.format(np.sum(w2[:,0]!=0)))\n",
    "print('Genes selected: {}'.format(np.sum(w2[:,1]!=0)))\n",
    "print('Genes selected: {}'.format(np.sum(np.sum(w2,axis=1)!=0)))\n",
    "\n",
    "w2[:,0] = -w2[:,0]\n",
    "v2[:,0] = -v2[:,0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (mpl.ratio !== 1) {\n",
       "            fig.send_message('set_dpi_ratio', { dpi_ratio: mpl.ratio });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    mpl.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    var resizeObserver = new ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * mpl.ratio);\n",
       "                canvas.setAttribute('height', height * mpl.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    resizeObserver.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / mpl.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / mpl.ratio;\n",
       "    var x1 = msg['x1'] / mpl.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / mpl.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / mpl.ratio,\n",
       "        fig.canvas.height / mpl.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    var cursor = msg['cursor'];\n",
       "    switch (cursor) {\n",
       "        case 0:\n",
       "            cursor = 'pointer';\n",
       "            break;\n",
       "        case 1:\n",
       "            cursor = 'default';\n",
       "            break;\n",
       "        case 2:\n",
       "            cursor = 'crosshair';\n",
       "            break;\n",
       "        case 3:\n",
       "            cursor = 'move';\n",
       "            break;\n",
       "    }\n",
       "    fig.rubberband_canvas.style.cursor = cursor;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            /* FIXME: We get \"Resource interpreted as Image but\n",
       "             * transferred with MIME type text/plain:\" errors on\n",
       "             * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "             * to be part of the websocket stream */\n",
       "            evt.data.type = 'image/png';\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                evt.data\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * http://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * mpl.ratio;\n",
       "    var y = canvas_pos.y * mpl.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.which === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.which;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.which !== 17) {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    if (event.altKey && event.which !== 18) {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    if (event.shiftKey && event.which !== 16) {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k';\n",
       "    value += event.which.toString();\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(msg['content']['data']);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / mpl.ratio;\n",
       "    fig.root.removeEventListener('remove', this._remove_fig_handler);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / mpl.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function () {\n",
       "    this.close_ws(this, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "    el.addEventListener('remove', this._remove_fig_handler);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    var manager = IPython.notebook.keyboard_manager;\n",
       "    if (!manager) {\n",
       "        manager = IPython.keyboard_manager;\n",
       "    }\n",
       "\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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\" width=\"599.5\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Correlation in X: 0.00\n",
      "Correlation in Y: 0.03\n",
      "Correlation in X: -0.33\n",
      "Correlation in Y: -0.20\n"
     ]
    }
   ],
   "source": [
    "dataset = 2\n",
    "sizes = [5, 5, 3, 3]\n",
    "scaleFactor = 3.5\n",
    "xylim = 3.9\n",
    "\n",
    "fig = plt.figure(figsize=(5,5))\n",
    "\n",
    "##############################################\n",
    "\n",
    "Zx = X @ w\n",
    "Zy = Y @ v\n",
    "Zx = Zx / np.std(Zx, axis=0)\n",
    "Zy = Zy / np.std(Zy, axis=0)\n",
    "\n",
    "print(f'Correlation in X: {np.corrcoef(Zx[:,0], Zx[:,1])[0,1]:.2f}')\n",
    "print(f'Correlation in Y: {np.corrcoef(Zy[:,0], Zy[:,1])[0,1]:.2f}')\n",
    "\n",
    "colors = [data['colors'][t] for t in data['ttype']]\n",
    "    \n",
    "plt.subplot(2,2,1, aspect='equal')\n",
    "plt.scatter(Zx[:,0], Zx[:,1], s=sizes[dataset], color=colors)\n",
    "\n",
    "plt.ylim([-xylim, xylim])\n",
    "plt.xlim([-xylim, xylim])\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "\n",
    "labels = []\n",
    "L = np.corrcoef(np.concatenate((Zx[:,:2], X), axis=1), rowvar=False)[2:,:2]\n",
    "for i in np.where((w[:,0]!=0)|(w[:,1]!=0))[0]:\n",
    "    plt.plot([0, scaleFactor*L[i,0]], [0, scaleFactor*L[i,1]], linewidth=.75, color=[.4, .4, .4],\n",
    "             zorder=1)\n",
    "    t = plt.text(scaleFactor*L[i,0], scaleFactor*L[i,1], genes[i], \n",
    "             ha='center', va='center', color='k', fontsize=6,\n",
    "             bbox=dict(facecolor='w', edgecolor='#777777', boxstyle='round', linewidth=.5, pad=.2))\n",
    "    labels.append(t)\n",
    "adjustlabels(fig, labels)\n",
    "circ = plt.Circle((0,0), radius=scaleFactor, color=[.4, .4, .4], fill=False, linewidth=.5)\n",
    "plt.gca().add_patch(circ)\n",
    "\n",
    "plt.subplot(2,2,2, aspect='equal')\n",
    "plt.scatter(Zy[:,0], Zy[:,1], s=sizes[dataset], color=colors)\n",
    "    \n",
    "plt.ylim([-xylim, xylim])\n",
    "plt.xlim([-xylim, xylim])\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "\n",
    "labels = []\n",
    "L = np.corrcoef(np.concatenate((Zy[:,:2], Y), axis=1), rowvar=False)[2:,:2]\n",
    "for i in range(Y.shape[1]):\n",
    "    plt.plot([0, scaleFactor*L[i,0]], [0, scaleFactor*L[i,1]], linewidth=.75, color=[.4, .4, .4],\n",
    "                 zorder=1)\n",
    "    t = plt.text(scaleFactor*L[i,0], scaleFactor*L[i,1], data['ephysNames'][i], \n",
    "                 ha='center', va='center', color='k', fontsize=6,\n",
    "                 bbox=dict(facecolor='w', edgecolor='#777777', boxstyle='round', linewidth=.5, pad=.2))\n",
    "    labels.append(t)\n",
    "adjustlabels(fig, labels)\n",
    "circ = plt.Circle((0,0), radius=scaleFactor, color=[.4, .4, .4], fill=False, linewidth=.5)\n",
    "plt.gca().add_patch(circ)\n",
    "\n",
    "#################################################\n",
    "\n",
    "w = w2\n",
    "v = v2\n",
    "\n",
    "##################\n",
    "\n",
    "Zx = X @ w\n",
    "Zy = Y @ v\n",
    "Zx = Zx / np.std(Zx, axis=0)\n",
    "Zy = Zy / np.std(Zy, axis=0)\n",
    "\n",
    "print(f'Correlation in X: {np.corrcoef(Zx[:,0], Zx[:,1])[0,1]:.2f}')\n",
    "print(f'Correlation in Y: {np.corrcoef(Zy[:,0], Zy[:,1])[0,1]:.2f}')\n",
    "\n",
    "colors = [data['colors'][t] for t in data['ttype']]\n",
    "    \n",
    "plt.subplot(2,2,3, aspect='equal')\n",
    "plt.scatter(Zx[:,0], Zx[:,1], s=sizes[dataset], color=colors)\n",
    "\n",
    "plt.ylim([-xylim, xylim])\n",
    "plt.xlim([-xylim, xylim])\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "\n",
    "labels = []\n",
    "L = np.corrcoef(np.concatenate((Zx[:,:2], X), axis=1), rowvar=False)[2:,:2]\n",
    "for i in np.where((w[:,0]!=0)|(w[:,1]!=0))[0]:\n",
    "    plt.plot([0, scaleFactor*L[i,0]], [0, scaleFactor*L[i,1]], linewidth=.75, color=[.4, .4, .4],\n",
    "             zorder=1)\n",
    "    t = plt.text(scaleFactor*L[i,0], scaleFactor*L[i,1], genes[i], \n",
    "             ha='center', va='center', color='k', fontsize=6,\n",
    "             bbox=dict(facecolor='w', edgecolor='#777777', boxstyle='round', linewidth=.5, pad=.2))\n",
    "    labels.append(t)\n",
    "adjustlabels(fig, labels)\n",
    "circ = plt.Circle((0,0), radius=scaleFactor, color=[.4, .4, .4], fill=False, linewidth=.5)\n",
    "plt.gca().add_patch(circ)\n",
    "\n",
    "plt.subplot(2,2,4, aspect='equal')\n",
    "plt.scatter(Zy[:,0], Zy[:,1], s=sizes[dataset], color=colors)\n",
    "    \n",
    "plt.ylim([-xylim, xylim])\n",
    "plt.xlim([-xylim, xylim])\n",
    "plt.xticks([])\n",
    "plt.yticks([])\n",
    "\n",
    "labels = []\n",
    "L = np.corrcoef(np.concatenate((Zy[:,:2], Y), axis=1), rowvar=False)[2:,:2]\n",
    "for i in range(Y.shape[1]):\n",
    "    plt.plot([0, scaleFactor*L[i,0]], [0, scaleFactor*L[i,1]], linewidth=.75, color=[.4, .4, .4],\n",
    "                 zorder=1)\n",
    "    t = plt.text(scaleFactor*L[i,0], scaleFactor*L[i,1], data['ephysNames'][i], \n",
    "                 ha='center', va='center', color='k', fontsize=6,\n",
    "                 bbox=dict(facecolor='w', edgecolor='#777777', boxstyle='round', linewidth=.5, pad=.2))\n",
    "    labels.append(t)\n",
    "adjustlabels(fig, labels)\n",
    "circ = plt.Circle((0,0), radius=scaleFactor, color=[.4, .4, .4], fill=False, linewidth=.5)\n",
    "plt.gca().add_patch(circ)\n",
    "\n",
    "##############################################3\n",
    "\n",
    "sns.despine(left=True, bottom=True)\n",
    "plt.tight_layout()\n",
    "\n",
    "fig.text(.05, .95, 'a', fontsize=8, fontweight='bold')\n",
    "fig.text(.05, .5, 'b', fontsize=8, fontweight='bold')\n",
    "fig.text(.5, .95, 'Our sRRR', fontsize=8, ha='center')\n",
    "fig.text(.5, .5, 'sCCA of Witten et al.', fontsize=8, ha='center')\n",
    "\n",
    "plt.savefig('figures/witten-biplot.png',dpi=200)\n",
    "plt.savefig('figures/witten-biplot.pdf',dpi=200)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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