{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "9a51a013-8798-4327-bd2b-5aaf0427cda4",
   "metadata": {},
   "source": [
    "# pvfactors"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "50531b9f-821b-4f17-ae11-535b6241dee6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\KANDERSO\\Software\\Anaconda3\\envs\\dev\\lib\\site-packages\\numpy\\_distributor_init.py:30: UserWarning: loaded more than 1 DLL from .libs:\n",
      "C:\\Users\\KANDERSO\\Software\\Anaconda3\\envs\\dev\\lib\\site-packages\\numpy\\.libs\\libopenblas.EL2C6PLE4ZYW3ECEVIV3OXXGRN2NRFM2.gfortran-win_amd64.dll\n",
      "C:\\Users\\KANDERSO\\Software\\Anaconda3\\envs\\dev\\lib\\site-packages\\numpy\\.libs\\libopenblas.FB5AE2TYXYH2IJRDKGDGQ3XBKLKTF43H.gfortran-win_amd64.dll\n",
      "  warnings.warn(\"loaded more than 1 DLL from .libs:\"\n"
     ]
    }
   ],
   "source": [
    "import utils\n",
    "from bokeh.io import output_notebook\n",
    "from bokeh.plotting import show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c987023b-ca0a-4ebf-9b9d-33793d3cf8f8",
   "metadata": {},
   "outputs": [
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       "    </div>\n"
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       "  }\n",
       "\n",
       "  const NB_LOAD_WARNING = {'data': {'text/html':\n",
       "     \"<div style='background-color: #fdd'>\\n\"+\n",
       "     \"<p>\\n\"+\n",
       "     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n",
       "     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n",
       "     \"</p>\\n\"+\n",
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       "     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n",
       "     \"</ul>\\n\"+\n",
       "     \"<code>\\n\"+\n",
       "     \"from bokeh.resources import INLINE\\n\"+\n",
       "     \"output_notebook(resources=INLINE)\\n\"+\n",
       "     \"</code>\\n\"+\n",
       "     \"</div>\"}};\n",
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       "\n",
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       "      root._bokeh_onload_callbacks.forEach(function(callback) {\n",
       "        if (callback != null)\n",
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       "      });\n",
       "    } finally {\n",
       "      delete root._bokeh_onload_callbacks\n",
       "    }\n",
       "    console.debug(\"Bokeh: all callbacks have finished\");\n",
       "  }\n",
       "\n",
       "  function load_libs(css_urls, js_urls, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "    if (root._bokeh_is_loading > 0) {\n",
       "      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n",
       "      return null;\n",
       "    }\n",
       "    if (js_urls == null || js_urls.length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    root._bokeh_is_loading = css_urls.length + js_urls.length;\n",
       "\n",
       "    function on_load() {\n",
       "      root._bokeh_is_loading--;\n",
       "      if (root._bokeh_is_loading === 0) {\n",
       "        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n",
       "        run_callbacks()\n",
       "      }\n",
       "    }\n",
       "\n",
       "    function on_error(url) {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    for (let i = 0; i < css_urls.length; i++) {\n",
       "      const url = css_urls[i];\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\n",
       "      element.rel = \"stylesheet\";\n",
       "      element.type = \"text/css\";\n",
       "      element.href = url;\n",
       "      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n",
       "      document.body.appendChild(element);\n",
       "    }\n",
       "\n",
       "    for (let i = 0; i < js_urls.length; i++) {\n",
       "      const url = js_urls[i];\n",
       "      const element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error.bind(null, url);\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "  };\n",
       "\n",
       "  function inject_raw_css(css) {\n",
       "    const element = document.createElement(\"style\");\n",
       "    element.appendChild(document.createTextNode(css));\n",
       "    document.body.appendChild(element);\n",
       "  }\n",
       "\n",
       "  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n",
       "  const css_urls = [];\n",
       "\n",
       "  const inline_js = [    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "function(Bokeh) {\n",
       "    }\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if (root.Bokeh !== undefined || force === true) {\n",
       "          for (let i = 0; i < inline_js.length; i++) {\n",
       "      inline_js[i].call(root, root.Bokeh);\n",
       "    }\n",
       "if (force === true) {\n",
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       "      }} else if (Date.now() < root._bokeh_timeout) {\n",
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       "      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "      root._bokeh_failed_load = true;\n",
       "    } else if (force !== true) {\n",
       "      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n",
       "      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "    }\n",
       "  }\n",
       "\n",
       "  if (root._bokeh_is_loading === 0) {\n",
       "    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "    run_inline_js();\n",
       "  } else {\n",
       "    load_libs(css_urls, js_urls, function() {\n",
       "      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "      run_inline_js();\n",
       "    });\n",
       "  }\n",
       "}(window));"
      ],
      "application/vnd.bokehjs_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  const force = true;\n\n  if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n    root._bokeh_onload_callbacks = [];\n    root._bokeh_is_loading = undefined;\n  }\n\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force === true) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\n  }\n\n  const NB_LOAD_WARNING = {'data': {'text/html':\n     \"<div style='background-color: #fdd'>\\n\"+\n     \"<p>\\n\"+\n     \"BokehJS does not appear to have successfully loaded. If loading BokehJS from CDN, this \\n\"+\n     \"may be due to a slow or bad network connection. Possible fixes:\\n\"+\n     \"</p>\\n\"+\n     \"<ul>\\n\"+\n     \"<li>re-rerun `output_notebook()` to attempt to load from CDN again, or</li>\\n\"+\n     \"<li>use INLINE resources instead, as so:</li>\\n\"+\n     \"</ul>\\n\"+\n     \"<code>\\n\"+\n     \"from bokeh.resources import INLINE\\n\"+\n     \"output_notebook(resources=INLINE)\\n\"+\n     \"</code>\\n\"+\n     \"</div>\"}};\n\n  function display_loaded() {\n    const el = document.getElementById(\"1002\");\n    if (el != null) {\n      el.textContent = \"BokehJS is loading...\";\n    }\n    if (root.Bokeh !== undefined) {\n      if (el != null) {\n        el.textContent = \"BokehJS \" + root.Bokeh.version + \" successfully loaded.\";\n      }\n    } else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(display_loaded, 100)\n    }\n  }\n\n  function run_callbacks() {\n    try {\n      root._bokeh_onload_callbacks.forEach(function(callback) {\n        if (callback != null)\n          callback();\n      });\n    } finally {\n      delete root._bokeh_onload_callbacks\n    }\n    console.debug(\"Bokeh: all callbacks have finished\");\n  }\n\n  function load_libs(css_urls, js_urls, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n\n    root._bokeh_onload_callbacks.push(callback);\n    if (root._bokeh_is_loading > 0) {\n      console.debug(\"Bokeh: BokehJS is being loaded, scheduling callback at\", now());\n      return null;\n    }\n    if (js_urls == null || js_urls.length === 0) {\n      run_callbacks();\n      return null;\n    }\n    console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    root._bokeh_is_loading = css_urls.length + js_urls.length;\n\n    function on_load() {\n      root._bokeh_is_loading--;\n      if (root._bokeh_is_loading === 0) {\n        console.debug(\"Bokeh: all BokehJS libraries/stylesheets loaded\");\n        run_callbacks()\n      }\n    }\n\n    function on_error(url) {\n      console.error(\"failed to load \" + url);\n    }\n\n    for (let i = 0; i < css_urls.length; i++) {\n      const url = css_urls[i];\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.rel = \"stylesheet\";\n      element.type = \"text/css\";\n      element.href = url;\n      console.debug(\"Bokeh: injecting link tag for BokehJS stylesheet: \", url);\n      document.body.appendChild(element);\n    }\n\n    for (let i = 0; i < js_urls.length; i++) {\n      const url = js_urls[i];\n      const element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error.bind(null, url);\n      element.async = false;\n      element.src = url;\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n  };\n\n  function inject_raw_css(css) {\n    const element = document.createElement(\"style\");\n    element.appendChild(document.createTextNode(css));\n    document.body.appendChild(element);\n  }\n\n  const js_urls = [\"https://cdn.bokeh.org/bokeh/release/bokeh-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-2.4.3.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-mathjax-2.4.3.min.js\"];\n  const css_urls = [];\n\n  const inline_js = [    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {\n    }\n  ];\n\n  function run_inline_js() {\n    if (root.Bokeh !== undefined || force === true) {\n          for (let i = 0; i < inline_js.length; i++) {\n      inline_js[i].call(root, root.Bokeh);\n    }\nif (force === true) {\n        display_loaded();\n      }} else if (Date.now() < root._bokeh_timeout) {\n      setTimeout(run_inline_js, 100);\n    } else if (!root._bokeh_failed_load) {\n      console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n      root._bokeh_failed_load = true;\n    } else if (force !== true) {\n      const cell = $(document.getElementById(\"1002\")).parents('.cell').data().cell;\n      cell.output_area.append_execute_result(NB_LOAD_WARNING)\n    }\n  }\n\n  if (root._bokeh_is_loading === 0) {\n    console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n    run_inline_js();\n  } else {\n    load_libs(css_urls, js_urls, function() {\n      console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n      run_inline_js();\n    });\n  }\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "output_notebook()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1db589f7-ccf2-435e-9d2d-409251dd9dc3",
   "metadata": {},
   "source": [
    "## GitHub"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0a7abd61-24ed-46e1-9686-4af7333fbf76",
   "metadata": {},
   "outputs": [],
   "source": [
    "gh = utils.get_github_stars('sunpower/pvfactors')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "23ab6b53-3aa0-4912-a1e9-a72af06fa48e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"c967e7d6-5685-4b9d-b7d2-e87869569908\" data-root-id=\"1003\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
       "  const docs_json = 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Stars\",\"@y\"]]},\"id\":\"1034\",\"type\":\"HoverTool\"},{\"attributes\":{\"days\":[1,15]},\"id\":\"1059\",\"type\":\"DaysTicker\"},{\"attributes\":{\"months\":[0,1,2,3,4,5,6,7,8,9,10,11]},\"id\":\"1060\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"line_color\":\"#1f77b4\",\"x\":{\"field\":\"x\"},\"y\":{\"field\":\"y\"}},\"id\":\"1037\",\"type\":\"Line\"},{\"attributes\":{\"axis_label\":\"Date\",\"coordinates\":null,\"formatter\":{\"id\":\"1048\"},\"group\":null,\"major_label_policy\":{\"id\":\"1049\"},\"ticker\":{\"id\":\"1013\"}},\"id\":\"1012\",\"type\":\"DatetimeAxis\"},{\"attributes\":{},\"id\":\"1045\",\"type\":\"BasicTickFormatter\"},{\"attributes\":{\"months\":[0,2,4,6,8,10]},\"id\":\"1061\",\"type\":\"MonthsTicker\"},{\"attributes\":{\"num_minor_ticks\":5,\"tickers\":[{\"id\":\"1053\"},{\"id\":\"1054\"},{\"id\":\"1055\"},{\"id\":\"1056\"},{\"id\":\"1057\"},{\"id\":\"1058\"},{\"id\":\"1059\"},{\"id\":\"1060\"},{\"id\":\"1061\"},{\"id\":\"1062\"},{\"id\":\"1063\"},{\"id\":\"1064\"}]},\"id\":\"1013\",\"type\":\"DatetimeTicker\"},{\"attributes\":{\"months\":[0,4,8]},\"id\":\"1062\",\"type\":\"MonthsTicker\"}],\"root_ids\":[\"1003\"]},\"title\":\"Bokeh Application\",\"version\":\"2.4.3\"}};\n",
       "  const render_items = [{\"docid\":\"d31445fe-7617-4e78-a8c8-fdd046e30ff7\",\"root_ids\":[\"1003\"],\"roots\":{\"1003\":\"c967e7d6-5685-4b9d-b7d2-e87869569908\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1003"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "p = utils.plot_github_stars_timeseries(gh)\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "00759c47-5ce7-4e29-9f99-bcf1d5b54a88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "  <div class=\"bk-root\" id=\"8b41f042-843d-48b2-bd1b-b290f747c272\" data-root-id=\"1180\"></div>\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function embed_document(root) {\n",
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Application\",\"version\":\"2.4.3\"}};\n",
       "  const render_items = [{\"docid\":\"5c9a6223-7a7c-470d-ba66-f30e6935b1a6\",\"root_ids\":[\"1180\"],\"roots\":{\"1180\":\"8b41f042-843d-48b2-bd1b-b290f747c272\"}}];\n",
       "  root.Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
       "  }\n",
       "  if (root.Bokeh !== undefined) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    let attempts = 0;\n",
       "    const timer = setInterval(function(root) {\n",
       "      if (root.Bokeh !== undefined) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else {\n",
       "        attempts++;\n",
       "        if (attempts > 100) {\n",
       "          clearInterval(timer);\n",
       "          console.log(\"Bokeh: ERROR: Unable to run BokehJS code because BokehJS library is missing\");\n",
       "        }\n",
       "      }\n",
       "    }, 10, root)\n",
       "  }\n",
       "})(window);"
      ],
      "application/vnd.bokehjs_exec.v0+json": ""
     },
     "metadata": {
      "application/vnd.bokehjs_exec.v0+json": {
       "id": "1180"
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "contributor_ts, _ = utils.get_github_contributor_timeseries(\"sunpower/pvfactors\")\n",
    "p = utils.plot_github_contributors_timeseries(contributor_ts)\n",
    "show(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a7ad39e7-e849-4bcc-b88e-2c51879e3066",
   "metadata": {},
   "outputs": [],
   "source": [
    "contributors = utils.get_github_contributors('sunpower/pvfactors')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e8afe1b6-020a-4059-b3d8-732297379e4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<PIL.Image.Image image mode=RGBA size=645x60 at 0x1D4872AB040>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mosaic = utils.make_github_contributors_mosaic(contributors)\n",
    "mosaic"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}