blog_num_journals.ipynb

Unpaywall Journals Exploration.ipynb

{
  "cells": [
    {
      "metadata": {},
      "cell_type": "markdown",
      "source": "# QA\n\n\n## Number of journals\n\n- What to do with the fact that not all journals in the Freedom Collection have a price on pricelist?\n\n\n## Citations and Authorships\n\n- citations from MIT, UVA\n- get top journals, compare to lens?  \n-- mit: https://link.lens.org/ylsb2JCsjB\n-- uva: https://link.lens.org/2uOyK1E3KSi\n\n## Prices\n\n- have them for all the journals\n\n## Magic Wand\n\n- plot the curve, see it makes sense\n\n\n## Counter\n\n- See what scaling factors we are applying to our download data, make sure is reasonable\n- See if their last five years roughly match ours\n\n## "
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2019-10-28T02:35:29.355166Z",
          "end_time": "2019-10-28T02:35:31.389911Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "import requests\nimport numpy as np\nimport pandas as pd\nimport matplotlib as mpl\nimport matplotlib.pyplot as plt\n\n%matplotlib nbagg\n\nurl = \"http://localhost:5004/scenario?package=demo&ill_cost=5&spend=100&pagesize=100000000\"\nr = requests.get(url)\njournals = r.json()[\"journals\"]\n",
      "execution_count": 46,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2019-10-28T02:35:35.249102Z",
          "end_time": "2019-10-28T02:35:35.351775Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "print journals[0].keys()\nnums = [[j[\"title\"], j[\"num_authorships\"], j[\"num_citations\"]] for j in journals]\nsorted_journals = sorted(journals, key=lambda x: x[\"num_citations\"], reverse=True)\n# print [[j[\"issn_l\"], j[\"title\"], j[\"num_citations\"], j[\"num_authorships\"]/(0.1+j[\"num_citations\"])] for j in sorted_journals];",
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": "[u'cost_subscription', u'use_paywalled_weighted', u'cpu_weighted', u'cost_subscription_minus_ill', u'cpu_unweighted', u'subscribed', u'title', u'cost_ill', u'num_citations', u'num_authorships', u'issn_l', u'use_paywalled_unweighted', u'subject']\n"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2019-10-28T02:49:57.143904Z",
          "end_time": "2019-10-28T02:49:59.399799Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "url = \"http://localhost:5004/scenario/subscription_wizard?package=demo&pagesize=100000000&spend=40\"\nr = requests.get(url)\njournals = r.json()[\"journals\"]\ndf = pd.DataFrame(journals) \n# df.head()",
      "execution_count": 61,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2019-10-28T02:49:59.420897Z",
          "end_time": "2019-10-28T02:50:05.960702Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "%matplotlib nbagg\n\nsubscription_color = [\"blue\" if s else \"purple\" for s in df.subscribed]\n# plt.scatter(df.subscription_cpu_unweighted, df.paywalled_use_unweighted, alpha=0.2, color=my_color)\n\nfig, ax = plt.subplots(1, 1, figsize=(8, 5), sharex=True, sharey=False)\n\nlabels, subject_index = np.unique(df.subject, return_inverse=True)\nprint len(subject_index)\nprint max(subject_index)\n    \nfor i in range(0, len(df.use_paywalled_weighted)):\n    plt.scatter(df.use_paywalled_weighted[i], \n                df.cost_subscription[i], \n                alpha=0.2, \n                color=subscription_color[i], \n                label=df.title[i])\n#                 color=plt.cm.jet(float(subject_index[i])/max(subject_index)), \n#                 cmap=plt.cm.jet,\n#                label=[df.title[i], df.issn_l[i], df.subject[i]])\nplt.yscale('log')\nplt.xscale('log')\nax.set_ylabel(\"subscription cost\")\nax.set_xlabel(\"paywalled uses per year\")\n# ax.set_xlim(-1000, 50000)\n# ax.set_ylim(-1000, 50000)\nax.set_xlim(.5)\nax.set_ylim(100)\nax.yaxis.set_major_formatter(mpl.ticker.FuncFormatter(lambda y, pos: '{0:,.0f}'.format(y)))\nax.xaxis.set_major_formatter(mpl.ticker.FuncFormatter(lambda y, pos: '{0:,.0f}'.format(y)))\n\nimport mpldatacursor\nmpldatacursor.datacursor(hover=False, formatter='{label}'.format)\nplt.show()\n\n",
      "execution_count": 62,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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left: 0; top: 0; z-index: 1;\")\n\n    var pass_mouse_events = true;\n\n    canvas_div.resizable({\n        start: function(event, ui) {\n            pass_mouse_events = false;\n        },\n        resize: function(event, ui) {\n            fig.request_resize(ui.size.width, ui.size.height);\n        },\n        stop: function(event, ui) {\n            pass_mouse_events = true;\n            fig.request_resize(ui.size.width, ui.size.height);\n        },\n    });\n\n    function mouse_event_fn(event) {\n        if (pass_mouse_events)\n            return fig.mouse_event(event, event['data']);\n    }\n\n    rubberband.mousedown('button_press', mouse_event_fn);\n    rubberband.mouseup('button_release', mouse_event_fn);\n    // Throttle sequential mouse events to 1 every 20ms.\n    rubberband.mousemove('motion_notify', mouse_event_fn);\n\n    rubberband.mouseenter('figure_enter', mouse_event_fn);\n    rubberband.mouseleave('figure_leave', mouse_event_fn);\n\n    canvas_div.on(\"wheel\", function (event) {\n        event = event.originalEvent;\n        event['data'] = 'scroll'\n        if (event.deltaY < 0) {\n            event.step = 1;\n        } else {\n            event.step = -1;\n        }\n        mouse_event_fn(event);\n    });\n\n    canvas_div.append(canvas);\n    canvas_div.append(rubberband);\n\n    this.rubberband = rubberband;\n    this.rubberband_canvas = rubberband[0];\n    this.rubberband_context = rubberband[0].getContext(\"2d\");\n    this.rubberband_context.strokeStyle = \"#000000\";\n\n    this._resize_canvas = function(width, height) {\n        // Keep the size of the canvas, canvas container, and rubber band\n        // canvas in synch.\n        canvas_div.css('width', width)\n        canvas_div.css('height', height)\n\n        canvas.attr('width', width * mpl.ratio);\n        canvas.attr('height', height * mpl.ratio);\n        canvas.attr('style', 'width: ' + width + 'px; 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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\nmpl.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\nmpl.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\nmpl.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\nmpl.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]);\n        fig.send_message(\"refresh\", {});\n    };\n}\n\nmpl.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, 0, fig.canvas.width, fig.canvas.height);\n\n    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n}\n\nmpl.figure.prototype.handle_figure_label = function(fig, msg) {\n    // Updates the figure title.\n    fig.header.textContent = msg['label'];\n}\n\nmpl.figure.prototype.handle_cursor = function(fig, msg) {\n    var cursor = msg['cursor'];\n    switch(cursor)\n    {\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\nmpl.figure.prototype.handle_message = function(fig, msg) {\n    fig.message.textContent = msg['message'];\n}\n\nmpl.figure.prototype.handle_draw = function(fig, msg) {\n    // Request the server to send over a new figure.\n    fig.send_draw_message();\n}\n\nmpl.figure.prototype.handle_image_mode = function(fig, msg) {\n    fig.image_mode = msg['mode'];\n}\n\nmpl.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.\nmpl.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            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n                evt.data);\n            fig.updated_canvas_event();\n            fig.waiting = false;\n            return;\n        }\n        else if (typeof evt.data === 'string' && evt.data.slice(0, 21) == \"data:image/png;base64\") {\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(\"No handler for the '\" + msg_type + \"' message type: \", msg);\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(\"Exception inside the 'handler_\" + msg_type + \"' callback:\", e, e.stack, msg);\n            }\n        }\n    };\n}\n\n// from http://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\nmpl.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    if (e.target)\n        targ = e.target;\n    else if (e.srcElement)\n        targ = e.srcElement;\n    if (targ.nodeType == 3) // defeat Safari bug\n        targ = targ.parentNode;\n\n    // jQuery normalizes the pageX and pageY\n    // pageX,Y are the mouse positions relative to the document\n    // offset() returns the position of the element relative to the document\n    var x = e.pageX - $(targ).offset().left;\n    var y = e.pageY - $(targ).offset().top;\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 */\nfunction simpleKeys (original) {\n  return Object.keys(original).reduce(function (obj, key) {\n    if (typeof original[key] !== 'object')\n        obj[key] = original[key]\n    return obj;\n  }, {});\n}\n\nmpl.figure.prototype.mouse_event = function(event, name) {\n    var canvas_pos = mpl.findpos(event)\n\n    if (name === 'button_press')\n    {\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, {x: x, y: y, button: event.button,\n                             step: event.step,\n                             guiEvent: simpleKeys(event)});\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\nmpl.figure.prototype._key_event_extra = function(event, name) {\n    // Handle any extra behaviour associated with a key event\n}\n\nmpl.figure.prototype.key_event = function(event, name) {\n\n    // Prevent repeat events\n    if (name == 'key_press')\n    {\n        if (event.which === this._key)\n            return;\n        else\n            this._key = event.which;\n    }\n    if (name == 'key_release')\n        this._key = null;\n\n    var value = '';\n    if (event.ctrlKey && event.which != 17)\n        value += \"ctrl+\";\n    if (event.altKey && event.which != 18)\n        value += \"alt+\";\n    if (event.shiftKey && event.which != 16)\n        value += \"shift+\";\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,\n                             guiEvent: simpleKeys(event)});\n    return false;\n}\n\nmpl.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\nmpl.figure.prototype.toolbar_button_onmouseover = function(tooltip) {\n    this.message.textContent = tooltip;\n};\nmpl.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\", \"Pan axes with left mouse, zoom with right\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n\nmpl.extensions = [\"eps\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\"];\n\nmpl.default_extension = \"png\";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\nmpl.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 = $(\"#\" + id);\n    var ws_proxy = comm_websocket_adapter(comm)\n\n    function ondownload(figure, format) {\n        window.open(figure.imageObj.src);\n    }\n\n    var fig = new mpl.figure(id, ws_proxy,\n                           ondownload,\n                           element.get(0));\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.get(0);\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    var output_index = fig.cell_info[2]\n    var cell = fig.cell_info[0];\n\n};\n\nmpl.figure.prototype.handle_close = function(fig, msg) {\n    var width = fig.canvas.width/mpl.ratio\n    fig.root.unbind('remove')\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).html('<img src=\"' + dataURL + '\" width=\"' + width + '\">');\n    fig.close_ws(fig, msg);\n}\n\nmpl.figure.prototype.close_ws = function(fig, msg){\n    fig.send_message('closing', msg);\n    // fig.ws.close()\n}\n\nmpl.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'] = '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n}\n\nmpl.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 () { fig.push_to_output() }, 1000);\n}\n\nmpl.figure.prototype._init_toolbar = function() {\n    var fig = this;\n\n    var nav_element = $('<div/>')\n    nav_element.attr('style', 'width: 100%');\n    this.root.append(nav_element);\n\n    // Define a callback function for later on.\n    function toolbar_event(event) {\n        return fig.toolbar_button_onclick(event['data']);\n    }\n    function toolbar_mouse_event(event) {\n        return fig.toolbar_button_onmouseover(event['data']);\n    }\n\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) { continue; };\n\n        var button = $('<button class=\"btn btn-default\" href=\"#\" title=\"' + name + '\"><i class=\"fa ' + image + ' fa-lg\"></i></button>');\n        button.click(method_name, toolbar_event);\n        button.mouseover(tooltip, toolbar_mouse_event);\n        nav_element.append(button);\n    }\n\n    // Add the status bar.\n    var status_bar = $('<span class=\"mpl-message\" style=\"text-align:right; float: right;\"/>');\n    nav_element.append(status_bar);\n    this.message = status_bar[0];\n\n    // Add the close button to the window.\n    var buttongrp = $('<div class=\"btn-group inline pull-right\"></div>');\n    var button = $('<button class=\"btn btn-mini btn-primary\" href=\"#\" title=\"Stop Interaction\"><i class=\"fa fa-power-off icon-remove icon-large\"></i></button>');\n    button.click(function (evt) { fig.handle_close(fig, {}); } );\n    button.mouseover('Stop Interaction', toolbar_mouse_event);\n    buttongrp.append(button);\n    var titlebar = this.root.find($('.ui-dialog-titlebar'));\n    titlebar.prepend(buttongrp);\n}\n\nmpl.figure.prototype._root_extra_style = function(el){\n    var fig = this\n    el.on(\"remove\", function(){\n\tfig.close_ws(fig, {});\n    });\n}\n\nmpl.figure.prototype._canvas_extra_style = function(el){\n    // this is important to make the div 'focusable\n    el.attr('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    }\n    else {\n        // location in version 2\n        IPython.keyboard_manager.register_events(el);\n    }\n\n}\n\nmpl.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    // Check for shift+enter\n    if (event.shiftKey && event.which == 13) {\n        this.canvas_div.blur();\n        event.shiftKey = false;\n        // Send a \"J\" for go to next cell\n        event.which = 74;\n        event.keyCode = 74;\n        manager.command_mode();\n        manager.handle_keydown(event);\n    }\n}\n\nmpl.figure.prototype.handle_save = function(fig, msg) {\n    fig.ondownload(fig, null);\n}\n\n\nmpl.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.\nif (IPython.notebook.kernel != null) {\n    IPython.notebook.kernel.comm_manager.register_target('matplotlib', mpl.mpl_figure_comm);\n}\n",
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\" width=\"800\">"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": "1851\n19\n"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2019-11-25T22:41:22.073936Z",
          "end_time": "2019-11-25T22:41:22.401185Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "!pwd\nimport logging\nmpl_logger = logging.getLogger(\"matplotlib\")\nmpl_logger.setLevel(logging.WARNING)\nimport sys\nsys.path.insert(0, '../jump-api')\nimport views\n# jump_summary_get()\n",
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": "/Users/hpiwowar/Documents/Projects/tiv2/jump-api-qa\r\n"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2019-11-26T01:20:30.297828Z",
          "end_time": "2019-11-26T01:26:24.945924Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "!pwd\nimport logging\nmpl_logger = logging.getLogger(\"matplotlib\")\nmpl_logger.setLevel(logging.WARNING)\nimport sys\nsys.path.insert(0, '../jump-api')\nimport views\nimport saved_scenario\n\nscenario_id = '137aeacc'  #consortium slow\n# scenario_id = 'f82f3cca'\nmy_saved_scenario = saved_scenario.SavedScenario.query.get(scenario_id)\n\n%prun a = my_saved_scenario.to_dict_definition()\na.keys()\n",
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": "/Users/hpiwowar/Documents/Projects/tiv2/jump-api-qa\r\n"
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": "/Library/Frameworks/Python.framework/Versions/2.7/lib/python2.7/site-packages/psycopg2/__init__.py:144: UserWarning: The psycopg2 wheel package will be renamed from release 2.8; in order to keep installing from binary please use \"pip install psycopg2-binary\" instead. For details see: <http://initd.org/psycopg/docs/install.html#binary-install-from-pypi>.\n  \"\"\")\n"
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": "not success in get_common_package_data_from_cache with https://cdn.unpaywalljournals.org/data/common/68f1af1d?secret=DowntonKoreanWings, had to build locally\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c4b390>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c4b610>\nbefore pool\nafter poolcalling cached version\ncalling cached version 2b7daf77\n  6d97f6e7\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c4b750>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached versioncalling cached version aaf55e33\n 6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c4b8d0>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version calling cached version aaf55e33\n6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c4ba50>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c4bb10>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 2b7daf77\ncalling cached version aaf55e33\n 6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c4bc50>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c4bd10>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c4be50>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached versioncalling cached version  aaf55e33\n6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c4bf10>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version calling cached version6d97f6e7 aaf55e33\n\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b22050>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version calling cached versionaaf55e33\n 6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b02150>\nbefore pool\nafter poolcalling cached versioncalling cached version\n 6d97f6e7\n 2b7daf77\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b02310>\nbefore pool\nafter pool\n calling cached versioncalling cached versioncalling cached version aaf55e33\n  2b7daf77\n6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b023d0>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 2b7daf77\ncalling cached version  6d97f6e7\naaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b02510>\nbefore pool\nafter pool\ncalling cached versioncalling cached versioncalling cached version 6d97f6e7\n 2b7daf77\n aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b025d0>\nbefore pool\nafter pool\ncalling cached versioncalling cached version  6d97f6e7\n2b7daf77\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b02710>\nbefore pool\nafter pool\ncalling cached versioncalling cached versioncalling cached version   2b7daf77\naaf55e33\n6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b027d0>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\n calling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b02910>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 2b7daf77\ncalling cached version  aaf55e33\n6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b029d0>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b02b10>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 6d97f6e7\ncalling cached version aaf55e33 2b7daf77\n\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b02bd0>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 2b7daf77\ncalling cached version aaf55e33\n 6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b02d10>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 6d97f6e7calling cached version aaf55e33\n 2b7daf77\n\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b02dd0>\nbefore pool\nafter pool\ncalling cached version 2b7daf77calling cached version\ncalling cached version  aaf55e336d97f6e7\n\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b02f10>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 2b7daf77\n 6d97f6e7\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b02fd0>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\n aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b25110>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached versioncalling cached version aaf55e33\n 6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b0a210>\nbefore pool\nafter poolcalling cached version 2b7daf77\ncalling cached versioncalling cached version\n aaf55e33\n 6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b18310>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\n calling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b13410>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached versioncalling cached version  6d97f6e7\naaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b2f510>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 6d97f6e7\ncalling cached version 2b7daf77\n aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b25610>\nbefore pool\nafter poolcalling cached version\ncalling cached versioncalling cached version  6d97f6e7\naaf55e33\n 2b7daf77\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b1b710>\nbefore pool\nafter pool\ncalling cached versioncalling cached versioncalling cached version 2b7daf77 6d97f6e7\n\n aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b10810>\nbefore pool\nafter pool\n calling cached version calling cached version 6d97f6e72b7daf77\ncalling cached version\n aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b0b910>\nbefore pool\nafter pool\ncalling cached version calling cached version 6d97f6e7\n2b7daf77\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b19a10>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 2b7daf77 6d97f6e7\n\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b2fb10>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\n aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b2fc10>\nbefore pool\nafter poolcalling cached versioncalling cached version 2b7daf77\n\n calling cached version6d97f6e7\n aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b19d10>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b2de10>\nbefore pool\nafter pool\ncalling cached versioncalling cached versioncalling cached version 2b7daf77 aaf55e33\n\n 6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b2df50>\nbefore pool\nafter poolcalling cached version\n 2b7daf77\ncalling cached versioncalling cached version aaf55e33 6d97f6e7\n\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c5a050>\nbefore pool\nafter poolcalling cached version\n 2b7daf77\ncalling cached version 6d97f6e7\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c5a190>\nbefore pool\nafter poolcalling cached version\n 2b7daf77\ncalling cached version 6d97f6e7\ncalling cached version aaf55e33\n"
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": "<multiprocessing.pool.IMapUnorderedIterator object at 0x119c52250>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 6d97f6e7calling cached version 2b7daf77\n aaf55e33\n\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119c52390>\nbefore pool\nafter pool\n calling cached version 6d97f6e7\ncalling cached versioncalling cached version aaf55e33\n 2b7daf77\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b0a410>\nbefore pool\nafter pool\ncalling cached version 2b7daf77calling cached version\n 6d97f6e7\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b12550>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached versioncalling cached version aaf55e33\n 6d97f6e7\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b30650>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\ncalling cached version aaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b18750>\nbefore pool\nafter pool\ncalling cached versioncalling cached version 2b7daf77\n  calling cached version6d97f6e7 \naaf55e33\n<multiprocessing.pool.IMapUnorderedIterator object at 0x119b19850>\nbefore pool\nafter pool\ncalling cached version 2b7daf77\ncalling cached version 6d97f6e7\n calling cached version aaf55e33"
        },
        {
          "output_type": "display_data",
          "data": {
            "text/html": "<b>limit_output extension: Maximum message size of 10000 exceeded with 10187 characters</b>"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2019-11-26T01:20:02.897653Z",
          "end_time": "2019-11-26T01:20:02.962935Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "\nscenario_id = '137aeacc'  #consortium slow\n# scenario_id = 'f82f3cca'\nmy_saved_scenario = saved_scenario.SavedScenario.query.get(scenario_id)\n\n%prun a = my_saved_scenario.to_dict_definition()\na.keys()\n",
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": " "
        },
        {
          "execution_count": 4,
          "output_type": "execute_result",
          "data": {
            "text/plain": "['pkgId', 'name', 'subrs', 'configs', 'customSubrs', 'id', '_debug', 'summary']"
          },
          "metadata": {}
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2019-10-30T13:10:16.565963Z",
          "end_time": "2019-10-30T13:10:20.617898Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "# %lprun -T lprun_out_temp.txt -f scenario.to_dict_summary scenario.to_dict_summary()\n# print(open('lprun_out_temp.txt', 'r').read())\n\n%lprun -T lprun_out_temp.txt -f scenario.to_dict_summary runme()\nprint(open('lprun_out_temp.txt', 'r').read())",
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": "\n*** Profile printout saved to text file u'lprun_out_temp.txt'. \nTimer unit: 1e-06 s\n\nTotal time: 1.85859 s\nFile: ../jump-api/scenario.py\nFunction: to_dict_summary at line 370\n\nLine #      Hits         Time  Per Hit   % Time  Line Contents\n==============================================================\n   370                                               def to_dict_summary(self):\n   371         1          3.0      3.0      0.0          response = {\n   372         1          5.0      5.0      0.0                  \"_settings\": self.settings.to_dict(),\n   373         1          1.0      1.0      0.0                  \"_summary\": {\n   374         1     770041.0 770041.0     41.4                      \"cost_scenario\": self.cost,\n   375         1         97.0     97.0      0.0                      \"cost_bigdeal_projected\": self.cost_bigdeal_projected,\n   376         1       3572.0   3572.0      0.2                      \"cost_percent\": self.cost_spent_percent,\n   377         1       2756.0   2756.0      0.1                      \"num_journals_subscribed\": len(self.subscribed),\n   378         1          3.0      3.0      0.0                      \"num_journals_total\": len(self.journals),\n   379         1    1082096.0 1082096.0     58.2                      \"use_instant_percent\": self.use_instant_percent\n   380                                                           }\n   381                                                       }\n   382         1         16.0     16.0      0.0          self.log_timing(\"to dict\")\n   383         1          1.0      1.0      0.0          response[\"_timing\"] = self.timing_messages\n   384         1          1.0      1.0      0.0          return response\n"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2019-10-30T13:01:04.418762Z",
          "end_time": "2019-10-30T13:01:08.338163Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "%prun runme()",
      "execution_count": 28,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": " "
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2020-02-04T19:38:01.273261Z",
          "end_time": "2020-02-04T19:38:22.170634Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "if False:\n    !pwd\n    import logging\n    mpl_logger = logging.getLogger(\"matplotlib\")\n    mpl_logger.setLevel(logging.WARNING)\n    import sys\n    sys.path.insert(0, '../jump-api')\n    import views\n    from saved_scenario import SavedScenario\n\n    scenario_id = \"demo\"\n    # scenario_id = 'f82f3cca'\n    my_saved_scenario = SavedScenario.query.get(scenario_id)\n    my_saved_scenario.set_live_scenario(None)\n\n    details_dict = my_saved_scenario.live_scenario.to_dict_details()\n    print(len(details_dict))\n\nelse:\n    import requests\n    r = requests.get(\"http://localhost:5004/scenario/demo-123/details?secret=DowntonKoreanWings\")\n    details_dict = r.json()",
      "execution_count": 174,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2020-02-04T19:38:22.175630Z",
          "end_time": "2020-02-04T19:38:22.214059Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "details_dict.keys()\nr\nmy_journals = details_dict[\"journals\"]\nmy_journals[0]",
      "execution_count": 175,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 175,
          "data": {
            "text/plain": "{u'apc': {u'annual_projected_cost': 494.6278,\n  u'annual_projected_fractional_authorship': 0.0838,\n  u'annual_projected_num_papers': 2.0,\n  u'apc_price': 5900},\n u'cost': {u'data': [{u'cost_avg': u'$4,740',\n    u'cost_per_use': u'$0.68',\n    u'cost_type': u'*Your scenario cost*',\n    u'year_2020': u'$1,665',\n    u'year_2021': u'$5,634',\n    u'year_2022': u'$5,554',\n    u'year_2023': u'$5,463',\n    u'year_2024': u'$5,384'},\n   {u'cost_avg': u'$2,982',\n    u'cost_per_use': u'$0.43',\n    u'cost_type': u'Subscription By Year',\n    u'year_2020': u'$2,542',\n    u'year_2021': u'$2,745',\n    u'year_2022': u'$2,965',\n    u'year_2023': u'$3,202',\n    u'year_2024': u'$3,458'},\n   {u'cost_avg': u'$4,740',\n    u'cost_per_use': u'$0.68',\n    u'cost_type': u'ILL By Year',\n    u'year_2020': u'$1,665',\n    u'year_2021': u'$5,634',\n    u'year_2022': u'$5,554',\n    u'year_2023': u'$5,463',\n    u'year_2024': u'$5,384'},\n   {u'cost_avg': u'-$1,758',\n    u'cost_per_use': u'-$0.25',\n    u'cost_type': u'Subscription Minus ILL By Year',\n    u'year_2020': u'$877',\n    u'year_2021': u'-$2,889',\n    u'year_2022': u'-$2,589',\n    u'year_2023': u'-$2,261',\n    u'year_2024': u'-$1,926'}],\n  u'headers': [{u'text': u'Cost Type', u'value': u'cost_type'},\n   {u'text': u'Cost (projected annual)', u'value': u'cost_avg'},\n   {u'text': u'Cost-Type per paid use', u'value': u'cost_per_use'},\n   {u'text': u'Cost projected 2020', u'value': u'year_2020'},\n   {u'text': u'2021', u'value': u'year_2021'},\n   {u'text': u'2022', u'value': u'year_2022'},\n   {u'text': u'2023', u'value': u'year_2023'},\n   {u'text': u'2024', u'value': u'year_2024'}],\n  u'ncppu': u'-$0.25',\n  u'subscribed': False},\n u'debug': {u'backfile_obs_pub_matrix': [[94,\n    94,\n    94,\n    94,\n    94,\n    110,\n    54,\n    79,\n    76,\n    4800,\n    0,\n    0,\n    0,\n    0],\n   [0, 92, 92, 92, 92, 92, 107, 53, 77, 37, 0, 0, 0, 0],\n   [0, 0, 90, 90, 90, 90, 90, 104, 52, 38, 0, 0, 0, 0],\n   [0, 0, 0, 88, 88, 88, 88, 88, 102, 25, 0, 0, 0, 0],\n   [0, 0, 0, 0, 84, 84, 84, 84, 84, 49, 0, 0, 0, 0]],\n  u'curve_fit_for_downloads': {u'input_y': [90474, 21543, 16340, 13912, 11918],\n   u'params': [153289.90734111087, 13815.418225006348, -0.3445602406360288],\n   u'r_squared': 0.9982360918470361,\n   u'y_fit': [90460.37189556178,\n    21792.999582397893,\n    14276.039675648331,\n    13840.778156113569,\n    13816.810691540599]},\n  u'curve_fit_for_num_papers': {u'input_y': [660, 699, 716, 560, 654],\n   u'params': [687.9999941189917, -15.099997059493976],\n   u'r_squared': 0.15543875330334034,\n   u'y_extrap': [612.5000088215219,\n    597.4000117620278,\n    582.3000147025339,\n    567.2000176430399,\n    552.100020583546],\n   u'y_fit': [687.9999941189917,\n    672.8999970594978,\n    657.8000000000037,\n    642.7000029405098,\n    627.6000058810158]},\n  u'display_perpetual_access_years': u'2010-2019',\n  u'downloads_backfile_by_year': [5589, 734, 644, 567, 469],\n  u'downloads_by_age': [13378.553986553708,\n   3223.0557462074426,\n   2111.3418341386955,\n   2046.969229700498,\n   2043.424583442792],\n  u'downloads_counter_multiplier': 0.1478940856223707,\n  u'downloads_counter_multiplier_normalized': 0.4359,\n  u'downloads_oa_bronze_by_age': [1678.0660498598293,\n   2663.728202621615,\n   1850.1449062040115,\n   1787.4051523171015,\n   1815.5582373869272],\n  u'downloads_oa_bronze_by_year': [19352, 18876, 18397, 17920, 17442],\n  u'downloads_oa_bronze_older': 1537.4734217285118,\n  u'downloads_oa_by_age': [4252.633140055732,\n   3151.0630920825342,\n   2035.1593968244126,\n   1994.9157786956744,\n   1938.444595497748],\n  u'downloads_oa_by_year': [23889, 23299, 22709, 22118, 21534],\n  u'downloads_oa_green_by_age': [1264.296338935488,\n   105.22003295178936,\n   0.0,\n   0.0,\n   0.0],\n  u'downloads_oa_green_by_year': [1515, 1478, 1440, 1403, 1365],\n  u'downloads_oa_green_older': 0.0,\n  u'downloads_oa_hybrid_by_age': [1310.2707512604147,\n   382.1148565091298,\n   185.01449062040115,\n   207.51062637857285,\n   122.88635811082082],\n  u'downloads_oa_hybrid_by_year': [3016, 2939, 2865, 2790, 2714],\n  u'downloads_oa_hybrid_older': 104.06414159444763,\n  u'downloads_oa_peer_reviewed_by_year': [22969, 22402, 21834, 21266, 20704],\n  u'downloads_obs_pub_matrix': [[1916,\n    1916,\n    1916,\n    1916,\n    1916,\n    2262,\n    2265,\n    2337,\n    3569,\n    14814,\n    0,\n    0,\n    0,\n    0],\n   [0, 1869, 1869, 1869, 1869, 1869, 2206, 2209, 2280, 3481, 14449, 0, 0, 0],\n   [0, 0, 1822, 1822, 1822, 1822, 1822, 2150, 2154, 2222, 3393, 14084, 0, 0],\n   [0, 0, 0, 1775, 1775, 1775, 1775, 1775, 2095, 2098, 2164, 3305, 13719, 0],\n   [0, 0, 0, 0, 1727, 1727, 1727, 1727, 1727, 2039, 2042, 2107, 3217, 13353]],\n  u'downloads_total_by_year': [33091.326799999995,\n   32275.548199999997,\n   31459.769599999996,\n   30643.990999999998,\n   29828.212399999997],\n  u'downloads_total_older_than_five_years': 8656.424219956862,\n  u'ncppu': -0.253698,\n  u'ncppu_rank': 1.0,\n  u'num_bronze_by_year': [73.0,\n   481.0,\n   510.0,\n   508.2000176430399,\n   517.100020583546],\n  u'num_green_by_year': [55.0, 19.0, 0, 0.0, 0.0],\n  u'num_hybrid_by_year': [57.0, 69.0, 51.0, 59.0, 35.0],\n  u'num_oa_by_year': [185.0,\n   569.0,\n   561.0,\n   567.2000176430399,\n   552.100020583546],\n  u'num_oa_historical_by_year': [699.0, 716.0, 561.0, 569.0, 185.0],\n  u'num_papers': 582.0,\n  u'num_papers_by_year': [612.5000088215219,\n   597.4000117620278,\n   582.3000147025339,\n   567.2000176430399,\n   552.100020583546],\n  u'num_papers_growth_from_2018_by_year': [1.1074,\n   1.0801,\n   1.0528,\n   1.0255,\n   0.9982],\n  u'oa_embargo_months': 12.0,\n  u'oa_obs_pub_matrix': [[1817,\n    1817,\n    1817,\n    1817,\n    1817,\n    2146,\n    2208,\n    2253,\n    3489,\n    4708,\n    0,\n    0,\n    0,\n    0],\n   [0, 1772, 1772, 1772, 1772, 1772, 2093, 2153, 2198, 3403, 4592, 0, 0, 0],\n   [0, 0, 1727, 1727, 1727, 1727, 1727, 2040, 2099, 2142, 3317, 4476, 0, 0],\n   [0, 0, 0, 1682, 1682, 1682, 1682, 1682, 1987, 2044, 2086, 3231, 4360, 0],\n   [0, 0, 0, 0, 1638, 1638, 1638, 1638, 1638, 1934, 1990, 2031, 3145, 4244]],\n  u'old_school_cpu': 0.0948,\n  u'old_school_cpu_rank': 1.0,\n  u'perpetual_access_years': [2010,\n   2011,\n   2012,\n   2013,\n   2014,\n   2015,\n   2016,\n   2017,\n   2018,\n   2019],\n  u'raw_downloads_by_age': [13380.569502598366,\n   3186.082286562732,\n   2416.5893590695373,\n   2057.502519178421,\n   1762.601712447414],\n  u'raw_num_papers_historical_by_year': [660, 699, 716, 560, 654],\n  u'scenario_settings': {u'backfile_contribution': 100,\n   u'cost_alacart_increase': 8,\n   u'cost_bigdeal': 2100000,\n   u'cost_bigdeal_increase': 5,\n   u'cost_content_fee_percent': 5.7,\n   u'cost_ill': 17,\n   u'ill_request_percent_of_delayed': 5,\n   u'include_backfile': True,\n   u'include_bronze': True,\n   u'include_social_networks': True,\n   u'include_submitted_version': True,\n   u'package': u'658349d9',\n   u'weight_authorship': 100,\n   u'weight_citation': 10},\n  u'use_actual': {u'backfile': 1600.6,\n   u'ill': 346.3809589999999,\n   u'oa': 26985.4621,\n   u'other_delayed': 6581.238220999998,\n   u'social_networks': 1869.1411200000002,\n   u'subscription': 0,\n   u'total': 37382.8224},\n  u'use_actual_by_year': {u'backfile': [6641.2627,\n    872.193,\n    765.2484,\n    673.7513,\n    557.3004],\n   u'ill': [116.37719431811784,\n    393.8397596970083,\n    388.1960700758986,\n    381.83941914865136,\n    376.31456236436645],\n   u'oa': [28386.674653637638,\n    27685.59306605983,\n    26984.511478482025,\n    26282.24161702697,\n    25588.289672712668],\n   u'other_delayed': [2211.166692044239,\n    7482.955434243157,\n    7375.725331442073,\n    7254.948963824376,\n    7149.976684922962],\n   u'social_networks': [1966.0779599999998,\n    1917.60954,\n    1869.14112,\n    1820.6727,\n    1772.20428],\n   u'subscription': [0, 0, 0, 0, 0],\n   u'total': [39321.559199999996,\n    38352.1908,\n    37382.8224,\n    36413.454,\n    35444.0856]},\n  u'use_default_download_curve': False,\n  u'use_default_num_papers_curve': False,\n  u'use_instant_by_year': [36994.01531363764,\n   30475.395606059832,\n   29618.900998482026,\n   28776.66561702697,\n   27917.79435271267],\n  u'use_instant_percent': 81.4684,\n  u'use_instant_percent_by_year': [94.0807,\n   79.4619,\n   79.2313,\n   79.0276,\n   78.7657],\n  u'use_oa': 26985.4621,\n  u'use_oa_percent_by_year': [72.2, 72.2, 72.2, 72.2, 72.2],\n  u'use_weight_multiplier': 1.1882738772505186,\n  u'use_weight_multiplier_normalized': 0.5555},\n u'fulfillment': {u'data': [{u'group': u'OA',\n    u'usage': u'26,985',\n    u'usage_percent': u'72%',\n    u'year_2020': u'28,387',\n    u'year_2021': u'27,686',\n    u'year_2022': u'26,985',\n    u'year_2023': u'26,282',\n    u'year_2024': u'25,588'},\n   {u'group': u'ASNs',\n    u'usage': u'1,869',\n    u'usage_percent': u'5%',\n    u'year_2020': u'1,966',\n    u'year_2021': u'1,918',\n    u'year_2022': u'1,869',\n    u'year_2023': u'1,821',\n    u'year_2024': u'1,772'},\n   {u'group': u'Backfile',\n    u'usage': u'1,601',\n    u'usage_percent': u'4%',\n    u'year_2020': u'6,641',\n    u'year_2021': u'872',\n    u'year_2022': u'765',\n    u'year_2023': u'674',\n    u'year_2024': u'557'},\n   {u'group': u'Subscription',\n    u'usage': u'0',\n    u'usage_percent': u'0%',\n    u'year_2020': u'0',\n    u'year_2021': u'0',\n    u'year_2022': u'0',\n    u'year_2023': u'0',\n    u'year_2024': u'0'},\n   {u'group': u'ILL',\n    u'usage': u'346',\n    u'usage_percent': u'1%',\n    u'year_2020': u'116',\n    u'year_2021': u'394',\n    u'year_2022': u'388',\n    u'year_2023': u'382',\n    u'year_2024': u'376'},\n   {u'group': u'Other',\n    u'usage': u'6,581',\n    u'usage_percent': u'18%',\n    u'year_2020': u'2,211',\n    u'year_2021': u'7,483',\n    u'year_2022': u'7,376',\n    u'year_2023': u'7,255',\n    u'year_2024': u'7,150'},\n   {u'group': u'*Total*',\n    u'usage': u'37,383',\n    u'usage_percent': u'100%',\n    u'year_2020': u'39,322',\n    u'year_2021': u'38,352',\n    u'year_2022': u'37,383',\n    u'year_2023': u'36,413',\n    u'year_2024': u'35,444'}],\n  u'display_perpetual_access_years': u'2010-2019',\n  u'downloads_per_paper_by_age': [22.987206162463416,\n   5.537896471146809,\n   3.62773"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "metadata": {},
          "data": {
            "text/html": "<b>limit_output extension: Maximum message size of 10000 exceeded with 13044 characters</b>"
          }
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2020-02-04T19:38:22.218189Z",
          "end_time": "2020-02-04T19:38:22.224573Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "# len([1 for j in my_journals if j[\"debug\"][\"use_default_download_curve_data\"] == True])\n# len([j[\"top\"][\"issn_l\"] for j in my_journals if \"use_default_download_curve_data\" not in j[\"debug\"].keys()])\nprint sum([1 for j in my_journals if j[\"debug\"][\"use_default_download_curve\"]])",
      "execution_count": 176,
      "outputs": [
        {
          "output_type": "stream",
          "text": "167\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true,
        "ExecuteTime": {
          "start_time": "2020-02-04T19:38:22.848244Z",
          "end_time": "2020-02-04T19:38:22.855043Z"
        }
      },
      "cell_type": "code",
      "source": "print sum([1 for j in my_journals if j[\"debug\"][\"use_default_num_papers_curve\"]])",
      "execution_count": 178,
      "outputs": [
        {
          "output_type": "stream",
          "text": "41\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2020-02-04T20:00:10.399605Z",
          "end_time": "2020-02-04T20:00:10.409148Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "my_journals = details_dict[\"journals\"]\nprint sum([1 for j in my_journals if not j[\"debug\"][\"use_default_num_papers_curve\"] \n           and j[\"debug\"][\"curve_fit_for_num_papers\"][\"params\"][1] < 0 ])\nprint sum([j[\"debug\"][\"curve_fit_for_num_papers\"][\"params\"][1] for j in my_journals])",
      "execution_count": 200,
      "outputs": [
        {
          "output_type": "stream",
          "text": "498\n33367.2000588\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2020-02-04T19:59:17.751342Z",
          "end_time": "2020-02-04T19:59:21.587933Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "import random\nfig, axes = plt.subplots(10, 10, figsize=(14, 10), sharex=False, sharey=False)\naxes_flatten = axes.flatten()\nplt.tight_layout(pad=0, w_pad=2, h_pad=1)\nplt.subplots_adjust(hspace=1)\n\ni = 0\nmy_journals = details_dict[\"journals\"]\nmy_journals = [j for j in my_journals if not j[\"debug\"][\"use_default_num_papers_curve\"]]\nrandom.shuffle(my_journals)\nmy_journals = my_journals[0:100]\nmy_journals = sorted(my_journals, key=lambda j: j[\"debug\"][\"curve_fit_for_num_papers\"][\"r_squared\"], reverse=True)\nfor j in my_journals:\n    ax = axes_flatten[i]\n    ax.set_axis_off() \n    r_squared = round(j[\"debug\"][\"curve_fit_for_num_papers\"][\"r_squared\"], 2)\n#     column_label = \"{}\\n{}\".format(r_squared, int(j[\"debug\"][\"curve_fit_for_num_papers\"][\"params\"][1]))\n    column_label = r_squared\n    ax.set_axis_off() \n    ax.text(.3, .2, column_label,\n        horizontalalignment='right',\n        verticalalignment='bottom',\n        fontsize=12,\n        transform=ax.transAxes)\n    ax.set_ylim(0, max(j[\"debug\"][\"curve_fit_for_num_papers\"][\"input_y\"] + j[\"debug\"][\"curve_fit_for_num_papers\"][\"y_extrap\"]))\n    ax.plot(j[\"debug\"][\"curve_fit_for_num_papers\"][\"y_fit\"] + j[\"debug\"][\"curve_fit_for_num_papers\"][\"y_extrap\"])\n    ax.plot(j[\"debug\"][\"curve_fit_for_num_papers\"][\"input_y\"], '.')\n    i += 1",
      "execution_count": 199,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 1008x720 with 100 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2020-02-04T19:26:03.525550Z",
          "end_time": "2020-02-04T19:26:03.534108Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2020-02-04T19:45:14.899494Z",
          "end_time": "2020-02-04T19:45:18.513017Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "import random\nfig, axes = plt.subplots(10, 10, figsize=(14, 10), sharex=False, sharey=False)\naxes_flatten = axes.flatten()\nplt.tight_layout(pad=0, w_pad=2, h_pad=1)\nplt.subplots_adjust(hspace=1)\n\ni = 0\nmy_journals = details_dict[\"journals\"]\nmy_journals = [j for j in my_journals if not j[\"debug\"][\"use_default_download_curve\"]]\nmy_journals = [j for j in my_journals if j[\"debug\"][\"curve_fit_for_downloads\"]]\nrandom.shuffle(my_journals)\nmy_journals = my_journals[0:100]\nmy_journals = sorted(my_journals, key=lambda j: j[\"debug\"][\"curve_fit_for_downloads\"][\"r_squared\"], reverse=True)\nfor j in my_journals:\n    ax = axes_flatten[i]\n    ax.set_axis_off() \n    r_squared = round(j[\"debug\"][\"curve_fit_for_downloads\"][\"r_squared\"], 2)\n    column_label = \"{}\\n{}\".format(r_squared, j[\"top\"][\"issn_l\"])\n    ax.set_axis_off() \n    ax.text(.3, .2, column_label,\n        horizontalalignment='right',\n        verticalalignment='bottom',\n        fontsize=12,\n        transform=ax.transAxes)\n    ax.set_ylim(0, max(j[\"debug\"][\"curve_fit_for_downloads\"][\"input_y\"]))\n    ax.plot(j[\"debug\"][\"curve_fit_for_downloads\"][\"y_fit\"])\n    ax.plot(j[\"debug\"][\"curve_fit_for_downloads\"][\"input_y\"], '.')\n    i += 1\n",
      "execution_count": 188,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": "<Figure size 1008x720 with 100 Axes>"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2020-02-04T19:45:04.217310Z",
          "end_time": "2020-02-04T19:45:04.221720Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "# print ([(j[\"top\"][\"issn_l\"]) for j in my_journals if not j[\"debug\"][\"use_default_num_papers_curve\"]])\n# print ([(j[\"top\"][\"title\"], j[\"debug\"][\"num_papers_by_year\"]) for j in my_journals if not j[\"debug\"][\"use_default_num_papers_curve\"]])",
      "execution_count": 187,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "python2",
      "display_name": "Python 2",
      "language": "python"
    },
    "language_info": {
      "mimetype": "text/x-python",
      "nbconvert_exporter": "python",
      "name": "python",
      "pygments_lexer": "ipython2",
      "version": "2.7.14",
      "file_extension": ".py",
      "codemirror_mode": {
        "version": 2,
        "name": "ipython"
      }
    },
    "gist": {
      "id": "4d5c56abbff921016bc877e39e5efbd1",
      "data": {
        "description": "Unpaywall Journals Exploration.ipynb",
        "public": true
      }
    },
    "toc": {
      "nav_menu": {},
      "number_sections": true,
      "sideBar": true,
      "skip_h1_title": true,
      "base_numbering": 1,
      "title_cell": "Table of Contents",
      "title_sidebar": "Contents",
      "toc_cell": false,
      "toc_position": {
        "width": "165px",
        "top": "150px",
        "left": "10px",
        "height": "calc(100% - 180px)"
      },
      "toc_section_display": true,
      "toc_window_display": true
    },
    "_draft": {
      "nbviewer_url": "https://gist.github.com/4d5c56abbff921016bc877e39e5efbd1"
    },
    "hide_input": false
  },
  "nbformat": 4,
  "nbformat_minor": 2
}

Unpaywall Journals QA.ipynb

blog_num_journals.ipynb