What the rewrite is for

intake-next.ipynb

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      "application/javascript": [
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "  var py_version = '3.1.1'.replace('rc', '-rc.');\n",
       "  var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n",
       "  var reloading = false;\n",
       "  var Bokeh = root.Bokeh;\n",
       "  var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "    if (js_modules == null) js_modules = [];\n",
       "    if (js_exports == null) js_exports = {};\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    if (!reloading) {\n",
       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    }\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",
       "    window._bokeh_on_load = on_load\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      window.requirejs.config({'packages': {}, 'paths': {'ace': '//cdnjs.cloudflare.com/ajax/libs/ace/1.4.7', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'ace/ext-language_tools': {'deps': ['ace/ace']}, 'ace/ext-modelist': {'deps': ['ace/ace']}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n",
       "      require([\"ace/ace\"], function(ace) {\n",
       "\twindow.ace = ace\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"ace/ext-language_tools\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"ace/ext-modelist\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel\"], function(jsPanel) {\n",
       "\twindow.jsPanel = jsPanel\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-modal\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-tooltip\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-hint\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-layout\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-contextmenu\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-dock\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"gridstack\"], function(GridStack) {\n",
       "\twindow.GridStack = GridStack\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"notyf\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      root._bokeh_is_loading = css_urls.length + 12;\n",
       "    } else {\n",
       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
       "    }\n",
       "\n",
       "    var existing_stylesheets = []\n",
       "    var links = document.getElementsByTagName('link')\n",
       "    for (var i = 0; i < links.length; i++) {\n",
       "      var link = links[i]\n",
       "      if (link.href != null) {\n",
       "\texisting_stylesheets.push(link.href)\n",
       "      }\n",
       "    }\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
       "\ton_load()\n",
       "\tcontinue;\n",
       "      }\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\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",
       "    }    if (((window['ace'] !== undefined) && (!(window['ace'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ace.js', 'https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-language_tools.js', 'https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-modelist.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/1.0.2/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/1.0.2/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    var existing_scripts = []\n",
       "    var scripts = document.getElementsByTagName('script')\n",
       "    for (var i = 0; i < scripts.length; i++) {\n",
       "      var script = scripts[i]\n",
       "      if (script.src != null) {\n",
       "\texisting_scripts.push(script.src)\n",
       "      }\n",
       "    }\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\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",
       "    for (var i = 0; i < js_modules.length; i++) {\n",
       "      var url = js_modules[i];\n",
       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      element.type = \"module\";\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    for (const name in js_exports) {\n",
       "      var url = js_exports[name];\n",
       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.type = \"module\";\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      element.textContent = `\n",
       "      import ${name} from \"${url}\"\n",
       "      window.${name} = ${name}\n",
       "      window._bokeh_on_load()\n",
       "      `\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    if (!js_urls.length && !js_modules.length) {\n",
       "      on_load()\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",
       "  var js_urls = [\"https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ace.js\", \"https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-language_tools.js\", \"https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-modelist.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.holoviz.org/panel/1.0.2/dist/panel.min.js\"];\n",
       "  var js_modules = [];\n",
       "  var js_exports = {};\n",
       "  var css_urls = [];\n",
       "  var inline_js = [    function(Bokeh) {\n",
       "      inject_raw_css(\"\\n    .scrolling {\\n      overflow: scroll;\\n    }\\n    \");\n",
       "    },    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }\n",
       "      // Cache old bokeh versions\n",
       "      if (Bokeh != undefined && !reloading) {\n",
       "\tvar NewBokeh = root.Bokeh;\n",
       "\tif (Bokeh.versions === undefined) {\n",
       "\t  Bokeh.versions = new Map();\n",
       "\t}\n",
       "\tif (NewBokeh.version !== Bokeh.version) {\n",
       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
       "\t}\n",
       "\troot.Bokeh = Bokeh;\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",
       "    }\n",
       "    root._bokeh_is_initializing = false\n",
       "  }\n",
       "\n",
       "  function load_or_wait() {\n",
       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
       "    // versions of Bokeh and its dependencies at the same time.\n",
       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
       "    // to determine whether there is an ongoing attempt to initialize\n",
       "    // bokeh, however for backward compatibility we also try to ensure\n",
       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
       "    // before older versions are fully initialized.\n",
       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
       "      root._bokeh_is_initializing = false;\n",
       "      root._bokeh_onload_callbacks = undefined;\n",
       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
       "      load_or_wait();\n",
       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
       "      setTimeout(load_or_wait, 100);\n",
       "    } else {\n",
       "      Bokeh = root.Bokeh;\n",
       "      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
       "      root._bokeh_is_initializing = true\n",
       "      root._bokeh_onload_callbacks = []\n",
       "      if (!reloading && (!bokeh_loaded || is_dev)) {\n",
       "\troot.Bokeh = undefined;\n",
       "      }\n",
       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "\trun_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }\n",
       "  // Give older versions of the autoload script a head-start to ensure\n",
       "  // they initialize before we start loading newer version.\n",
       "  setTimeout(load_or_wait, 100)\n",
       "}(window));"
      ],
      "application/vnd.holoviews_load.v0+json": "(function(root) {\n  function now() {\n    return new Date();\n  }\n\n  var force = true;\n  var py_version = '3.1.1'.replace('rc', '-rc.');\n  var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n  var reloading = false;\n  var Bokeh = root.Bokeh;\n  var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n\n  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n    root._bokeh_timeout = Date.now() + 5000;\n    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n    if (css_urls == null) css_urls = [];\n    if (js_urls == null) js_urls = [];\n    if (js_modules == null) js_modules = [];\n    if (js_exports == null) js_exports = {};\n\n    root._bokeh_onload_callbacks.push(callback);\n\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n      run_callbacks();\n      return null;\n    }\n    if (!reloading) {\n      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n    }\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    window._bokeh_on_load = on_load\n\n    function on_error() {\n      console.error(\"failed to load \" + url);\n    }\n\n    var skip = [];\n    if (window.requirejs) {\n      window.requirejs.config({'packages': {}, 'paths': {'ace': '//cdnjs.cloudflare.com/ajax/libs/ace/1.4.7', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'ace/ext-language_tools': {'deps': ['ace/ace']}, 'ace/ext-modelist': {'deps': ['ace/ace']}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n      require([\"ace/ace\"], function(ace) {\n\twindow.ace = ace\n\ton_load()\n      })\n      require([\"ace/ext-language_tools\"], function() {\n\ton_load()\n      })\n      require([\"ace/ext-modelist\"], function() {\n\ton_load()\n      })\n      require([\"jspanel\"], function(jsPanel) {\n\twindow.jsPanel = jsPanel\n\ton_load()\n      })\n      require([\"jspanel-modal\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-tooltip\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-hint\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-layout\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-contextmenu\"], function() {\n\ton_load()\n      })\n      require([\"jspanel-dock\"], function() {\n\ton_load()\n      })\n      require([\"gridstack\"], function(GridStack) {\n\twindow.GridStack = GridStack\n\ton_load()\n      })\n      require([\"notyf\"], function() {\n\ton_load()\n      })\n      root._bokeh_is_loading = css_urls.length + 12;\n    } else {\n      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n    }\n\n    var existing_stylesheets = []\n    var links = document.getElementsByTagName('link')\n    for (var i = 0; i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\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    }    if (((window['ace'] !== undefined) && (!(window['ace'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ace.js', 'https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-language_tools.js', 'https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-modelist.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.0.2/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.0.2/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\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    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\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  var js_urls = [\"https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ace.js\", \"https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-language_tools.js\", \"https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-modelist.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-gl-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-widgets-3.1.1.min.js\", \"https://cdn.bokeh.org/bokeh/release/bokeh-tables-3.1.1.min.js\", \"https://cdn.holoviz.org/panel/1.0.2/dist/panel.min.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      inject_raw_css(\"\\n    .scrolling {\\n      overflow: scroll;\\n    }\\n    \");\n    },    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\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    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      Bokeh = root.Bokeh;\n      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
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       "    var scripts = [];\n",
       "    var nodelist = html_node.querySelectorAll(\"script\");\n",
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       "    var bk_div = document.createElement(\"div\");\n",
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       "function handle_update_output(event, handle) {\n",
       "  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n",
       "  handle_add_output(event, handle)\n",
       "}\n",
       "\n",
       "function register_renderer(events, OutputArea) {\n",
       "  function append_mime(data, metadata, element) {\n",
       "    // create a DOM node to render to\n",
       "    var toinsert = this.create_output_subarea(\n",
       "    metadata,\n",
       "    CLASS_NAME,\n",
       "    EXEC_MIME_TYPE\n",
       "    );\n",
       "    this.keyboard_manager.register_events(toinsert);\n",
       "    // Render to node\n",
       "    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n",
       "    render(props, toinsert[0]);\n",
       "    element.append(toinsert);\n",
       "    return toinsert\n",
       "  }\n",
       "\n",
       "  events.on('output_added.OutputArea', handle_add_output);\n",
       "  events.on('output_updated.OutputArea', handle_update_output);\n",
       "  events.on('clear_output.CodeCell', handle_clear_output);\n",
       "  events.on('delete.Cell', handle_clear_output);\n",
       "  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n",
       "\n",
       "  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n",
       "    safe: true,\n",
       "    index: 0\n",
       "  });\n",
       "}\n",
       "\n",
       "if (window.Jupyter !== undefined) {\n",
       "  try {\n",
       "    var events = require('base/js/events');\n",
       "    var OutputArea = require('notebook/js/outputarea').OutputArea;\n",
       "    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n",
       "      register_renderer(events, OutputArea);\n",
       "    }\n",
       "  } catch(err) {\n",
       "  }\n",
       "}\n"
      ],
      "application/vnd.holoviews_load.v0+json": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n  window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n    function JupyterCommManager() {\n    }\n\n    JupyterCommManager.prototype.register_target = function(plot_id, comm_id, msg_handler) {\n      if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        comm_manager.register_target(comm_id, function(comm) {\n          comm.on_msg(msg_handler);\n        });\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        window.PyViz.kernels[plot_id].registerCommTarget(comm_id, function(comm) {\n          comm.onMsg = msg_handler;\n        });\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        google.colab.kernel.comms.registerTarget(comm_id, (comm) => {\n          var messages = comm.messages[Symbol.asyncIterator]();\n          function processIteratorResult(result) {\n            var message = result.value;\n            console.log(message)\n            var content = {data: message.data, comm_id};\n            var buffers = []\n            for (var buffer of message.buffers || []) {\n              buffers.push(new DataView(buffer))\n            }\n            var metadata = message.metadata || {};\n            var msg = {content, buffers, metadata}\n            msg_handler(msg);\n            return messages.next().then(processIteratorResult);\n          }\n          return messages.next().then(processIteratorResult);\n        })\n      }\n    }\n\n    JupyterCommManager.prototype.get_client_comm = function(plot_id, comm_id, msg_handler) {\n      if (comm_id in window.PyViz.comms) {\n        return window.PyViz.comms[comm_id];\n      } else if (window.comm_manager || ((window.Jupyter !== undefined) && (Jupyter.notebook.kernel != null))) {\n        var comm_manager = window.comm_manager || Jupyter.notebook.kernel.comm_manager;\n        var comm = comm_manager.new_comm(comm_id, {}, {}, {}, comm_id);\n        if (msg_handler) {\n          comm.on_msg(msg_handler);\n        }\n      } else if ((plot_id in window.PyViz.kernels) && (window.PyViz.kernels[plot_id])) {\n        var comm = window.PyViz.kernels[plot_id].connectToComm(comm_id);\n        comm.open();\n        if (msg_handler) {\n          comm.onMsg = msg_handler;\n        }\n      } else if (typeof google != 'undefined' && google.colab.kernel != null) {\n        var comm_promise = google.colab.kernel.comms.open(comm_id)\n        comm_promise.then((comm) => {\n          window.PyViz.comms[comm_id] = comm;\n          if (msg_handler) {\n            var messages = comm.messages[Symbol.asyncIterator]();\n            function processIteratorResult(result) {\n              var message = result.value;\n              var content = {data: message.data};\n              var metadata = message.metadata || {comm_id};\n              var msg = {content, metadata}\n              msg_handler(msg);\n              return messages.next().then(processIteratorResult);\n            }\n            return messages.next().then(processIteratorResult);\n          }\n        }) \n        var sendClosure = (data, metadata, buffers, disposeOnDone) => {\n          return comm_promise.then((comm) => {\n            comm.send(data, metadata, buffers, disposeOnDone);\n          });\n        };\n        var comm = {\n          send: sendClosure\n        };\n      }\n      window.PyViz.comms[comm_id] = comm;\n      return comm;\n    }\n    window.PyViz.comm_manager = new JupyterCommManager();\n    \n\n\nvar JS_MIME_TYPE = 'application/javascript';\nvar HTML_MIME_TYPE = 'text/html';\nvar EXEC_MIME_TYPE = 'application/vnd.holoviews_exec.v0+json';\nvar CLASS_NAME = 'output';\n\n/**\n * Render data to the DOM node\n */\nfunction render(props, node) {\n  var div = document.createElement(\"div\");\n  var script = document.createElement(\"script\");\n  node.appendChild(div);\n  node.appendChild(script);\n}\n\n/**\n * Handle when a new output is added\n */\nfunction handle_add_output(event, handle) {\n  var output_area = handle.output_area;\n  var output = handle.output;\n  if ((output.data == undefined) || (!output.data.hasOwnProperty(EXEC_MIME_TYPE))) {\n    return\n  }\n  var id = output.metadata[EXEC_MIME_TYPE][\"id\"];\n  var toinsert = output_area.element.find(\".\" + CLASS_NAME.split(' ')[0]);\n  if (id !== undefined) {\n    var nchildren = toinsert.length;\n    var html_node = toinsert[nchildren-1].children[0];\n    html_node.innerHTML = output.data[HTML_MIME_TYPE];\n    var scripts = [];\n    var nodelist = html_node.querySelectorAll(\"script\");\n    for (var i in nodelist) {\n      if (nodelist.hasOwnProperty(i)) {\n        scripts.push(nodelist[i])\n      }\n    }\n\n    scripts.forEach( function (oldScript) {\n      var newScript = document.createElement(\"script\");\n      var attrs = [];\n      var nodemap = oldScript.attributes;\n      for (var j in nodemap) {\n        if (nodemap.hasOwnProperty(j)) {\n          attrs.push(nodemap[j])\n        }\n      }\n      attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n      newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n      oldScript.parentNode.replaceChild(newScript, oldScript);\n    });\n    if (JS_MIME_TYPE in output.data) {\n      toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n    }\n    output_area._hv_plot_id = id;\n    if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n      window.PyViz.plot_index[id] = Bokeh.index[id];\n    } else {\n      window.PyViz.plot_index[id] = null;\n    }\n  } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n    var bk_div = document.createElement(\"div\");\n    bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n    var script_attrs = bk_div.children[0].attributes;\n    for (var i = 0; i < script_attrs.length; i++) {\n      toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n    }\n    // store reference to server id on output_area\n    output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n  }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n  var id = handle.cell.output_area._hv_plot_id;\n  var server_id = handle.cell.output_area._bokeh_server_id;\n  if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n  var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n  if (server_id !== null) {\n    comm.send({event_type: 'server_delete', 'id': server_id});\n    return;\n  } else if (comm !== null) {\n    comm.send({event_type: 'delete', 'id': id});\n  }\n  delete PyViz.plot_index[id];\n  if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n    var doc = window.Bokeh.index[id].model.document\n    doc.clear();\n    const i = window.Bokeh.documents.indexOf(doc);\n    if (i > -1) {\n      window.Bokeh.documents.splice(i, 1);\n    }\n  }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n  delete PyViz.comms[\"hv-extension-comm\"];\n  window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n  handle_clear_output(event, {cell: {output_area: handle.output_area}})\n  handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n  function append_mime(data, metadata, element) {\n    // create a DOM node to render to\n    var toinsert = this.create_output_subarea(\n    metadata,\n    CLASS_NAME,\n    EXEC_MIME_TYPE\n    );\n    this.keyboard_manager.register_events(toinsert);\n    // Render to node\n    var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n    render(props, toinsert[0]);\n    element.append(toinsert);\n    return toinsert\n  }\n\n  events.on('output_added.OutputArea', handle_add_output);\n  events.on('output_updated.OutputArea', handle_update_output);\n  events.on('clear_output.CodeCell', handle_clear_output);\n  events.on('delete.Cell', handle_clear_output);\n  events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n  OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n    safe: true,\n    index: 0\n  });\n}\n\nif (window.Jupyter !== undefined) {\n  try {\n    var events = require('base/js/events');\n    var OutputArea = require('notebook/js/outputarea').OutputArea;\n    if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n      register_renderer(events, OutputArea);\n    }\n  } catch(err) {\n  }\n}\n"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>*[data-root-id],\n",
       "*[data-root-id] > * {\n",
       "  box-sizing: border-box;\n",
       "  font-family: var(--jp-ui-font-family);\n",
       "  font-size: var(--jp-ui-font-size1);\n",
       "  color: var(--jp-ui-font-color1);\n",
       "}\n",
       "</style>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/javascript": [
       "(function(root) {\n",
       "  function now() {\n",
       "    return new Date();\n",
       "  }\n",
       "\n",
       "  var force = true;\n",
       "  var py_version = '3.1.1'.replace('rc', '-rc.');\n",
       "  var is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1;\n",
       "  var reloading = true;\n",
       "  var Bokeh = root.Bokeh;\n",
       "  var bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
       "\n",
       "  if (typeof (root._bokeh_timeout) === \"undefined\" || force) {\n",
       "    root._bokeh_timeout = Date.now() + 5000;\n",
       "    root._bokeh_failed_load = false;\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, js_modules, js_exports, callback) {\n",
       "    if (css_urls == null) css_urls = [];\n",
       "    if (js_urls == null) js_urls = [];\n",
       "    if (js_modules == null) js_modules = [];\n",
       "    if (js_exports == null) js_exports = {};\n",
       "\n",
       "    root._bokeh_onload_callbacks.push(callback);\n",
       "\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.length === 0 && js_modules.length === 0 && Object.keys(js_exports).length === 0) {\n",
       "      run_callbacks();\n",
       "      return null;\n",
       "    }\n",
       "    if (!reloading) {\n",
       "      console.debug(\"Bokeh: BokehJS not loaded, scheduling load and callback at\", now());\n",
       "    }\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",
       "    window._bokeh_on_load = on_load\n",
       "\n",
       "    function on_error() {\n",
       "      console.error(\"failed to load \" + url);\n",
       "    }\n",
       "\n",
       "    var skip = [];\n",
       "    if (window.requirejs) {\n",
       "      window.requirejs.config({'packages': {}, 'paths': {'ace': '//cdnjs.cloudflare.com/ajax/libs/ace/1.4.7', 'jspanel': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/jspanel', 'jspanel-modal': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal', 'jspanel-tooltip': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip', 'jspanel-hint': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint', 'jspanel-layout': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout', 'jspanel-contextmenu': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu', 'jspanel-dock': 'https://cdn.jsdelivr.net/npm/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock', 'gridstack': 'https://cdn.jsdelivr.net/npm/gridstack@7.2.3/dist/gridstack-all', 'notyf': 'https://cdn.jsdelivr.net/npm/notyf@3/notyf.min'}, 'shim': {'ace/ext-language_tools': {'deps': ['ace/ace']}, 'ace/ext-modelist': {'deps': ['ace/ace']}, 'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\n",
       "      require([\"ace/ace\"], function(ace) {\n",
       "\twindow.ace = ace\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"ace/ext-language_tools\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"ace/ext-modelist\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel\"], function(jsPanel) {\n",
       "\twindow.jsPanel = jsPanel\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-modal\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-tooltip\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-hint\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-layout\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-contextmenu\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"jspanel-dock\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"gridstack\"], function(GridStack) {\n",
       "\twindow.GridStack = GridStack\n",
       "\ton_load()\n",
       "      })\n",
       "      require([\"notyf\"], function() {\n",
       "\ton_load()\n",
       "      })\n",
       "      root._bokeh_is_loading = css_urls.length + 12;\n",
       "    } else {\n",
       "      root._bokeh_is_loading = css_urls.length + js_urls.length + js_modules.length + Object.keys(js_exports).length;\n",
       "    }\n",
       "\n",
       "    var existing_stylesheets = []\n",
       "    var links = document.getElementsByTagName('link')\n",
       "    for (var i = 0; i < links.length; i++) {\n",
       "      var link = links[i]\n",
       "      if (link.href != null) {\n",
       "\texisting_stylesheets.push(link.href)\n",
       "      }\n",
       "    }\n",
       "    for (var i = 0; i < css_urls.length; i++) {\n",
       "      var url = css_urls[i];\n",
       "      if (existing_stylesheets.indexOf(url) !== -1) {\n",
       "\ton_load()\n",
       "\tcontinue;\n",
       "      }\n",
       "      const element = document.createElement(\"link\");\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\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",
       "    }    if (((window['ace'] !== undefined) && (!(window['ace'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ace.js', 'https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-language_tools.js', 'https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-modelist.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/1.0.2/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n",
       "      var urls = ['https://cdn.holoviz.org/panel/1.0.2/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n",
       "      for (var i = 0; i < urls.length; i++) {\n",
       "        skip.push(urls[i])\n",
       "      }\n",
       "    }    var existing_scripts = []\n",
       "    var scripts = document.getElementsByTagName('script')\n",
       "    for (var i = 0; i < scripts.length; i++) {\n",
       "      var script = scripts[i]\n",
       "      if (script.src != null) {\n",
       "\texisting_scripts.push(script.src)\n",
       "      }\n",
       "    }\n",
       "    for (var i = 0; i < js_urls.length; i++) {\n",
       "      var url = js_urls[i];\n",
       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\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",
       "    for (var i = 0; i < js_modules.length; i++) {\n",
       "      var url = js_modules[i];\n",
       "      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onload = on_load;\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.src = url;\n",
       "      element.type = \"module\";\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    for (const name in js_exports) {\n",
       "      var url = js_exports[name];\n",
       "      if (skip.indexOf(url) >= 0 || root[name] != null) {\n",
       "\tif (!window.requirejs) {\n",
       "\t  on_load();\n",
       "\t}\n",
       "\tcontinue;\n",
       "      }\n",
       "      var element = document.createElement('script');\n",
       "      element.onerror = on_error;\n",
       "      element.async = false;\n",
       "      element.type = \"module\";\n",
       "      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n",
       "      element.textContent = `\n",
       "      import ${name} from \"${url}\"\n",
       "      window.${name} = ${name}\n",
       "      window._bokeh_on_load()\n",
       "      `\n",
       "      document.head.appendChild(element);\n",
       "    }\n",
       "    if (!js_urls.length && !js_modules.length) {\n",
       "      on_load()\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",
       "  var js_urls = [\"https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ace.js\", \"https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-language_tools.js\", \"https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-modelist.js\"];\n",
       "  var js_modules = [];\n",
       "  var js_exports = {};\n",
       "  var css_urls = [];\n",
       "  var inline_js = [    function(Bokeh) {\n",
       "      inject_raw_css(\"\\n    .scrolling {\\n      overflow: scroll;\\n    }\\n    \");\n",
       "    },    function(Bokeh) {\n",
       "      Bokeh.set_log_level(\"info\");\n",
       "    },\n",
       "function(Bokeh) {} // ensure no trailing comma for IE\n",
       "  ];\n",
       "\n",
       "  function run_inline_js() {\n",
       "    if ((root.Bokeh !== undefined) || (force === true)) {\n",
       "      for (var i = 0; i < inline_js.length; i++) {\n",
       "        inline_js[i].call(root, root.Bokeh);\n",
       "      }\n",
       "      // Cache old bokeh versions\n",
       "      if (Bokeh != undefined && !reloading) {\n",
       "\tvar NewBokeh = root.Bokeh;\n",
       "\tif (Bokeh.versions === undefined) {\n",
       "\t  Bokeh.versions = new Map();\n",
       "\t}\n",
       "\tif (NewBokeh.version !== Bokeh.version) {\n",
       "\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n",
       "\t}\n",
       "\troot.Bokeh = Bokeh;\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",
       "    }\n",
       "    root._bokeh_is_initializing = false\n",
       "  }\n",
       "\n",
       "  function load_or_wait() {\n",
       "    // Implement a backoff loop that tries to ensure we do not load multiple\n",
       "    // versions of Bokeh and its dependencies at the same time.\n",
       "    // In recent versions we use the root._bokeh_is_initializing flag\n",
       "    // to determine whether there is an ongoing attempt to initialize\n",
       "    // bokeh, however for backward compatibility we also try to ensure\n",
       "    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n",
       "    // before older versions are fully initialized.\n",
       "    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n",
       "      root._bokeh_is_initializing = false;\n",
       "      root._bokeh_onload_callbacks = undefined;\n",
       "      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n",
       "      load_or_wait();\n",
       "    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n",
       "      setTimeout(load_or_wait, 100);\n",
       "    } else {\n",
       "      Bokeh = root.Bokeh;\n",
       "      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n",
       "      root._bokeh_is_initializing = true\n",
       "      root._bokeh_onload_callbacks = []\n",
       "      if (!reloading && (!bokeh_loaded || is_dev)) {\n",
       "\troot.Bokeh = undefined;\n",
       "      }\n",
       "      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n",
       "\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "\trun_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }\n",
       "  // Give older versions of the autoload script a head-start to ensure\n",
       "  // they initialize before we start loading newer version.\n",
       "  setTimeout(load_or_wait, 100)\n",
       "}(window));"
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i < links.length; i++) {\n      var link = links[i]\n      if (link.href != null) {\n\texisting_stylesheets.push(link.href)\n      }\n    }\n    for (var i = 0; i < css_urls.length; i++) {\n      var url = css_urls[i];\n      if (existing_stylesheets.indexOf(url) !== -1) {\n\ton_load()\n\tcontinue;\n      }\n      const element = document.createElement(\"link\");\n      element.onload = on_load;\n      element.onerror = on_error;\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    }    if (((window['ace'] !== undefined) && (!(window['ace'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ace.js', 'https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-language_tools.js', 'https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-modelist.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.0.2/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/dock/jspanel.dock.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['GridStack'] !== undefined) && (!(window['GridStack'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.0.2/dist/bundled/gridstack/gridstack@7.2.3/dist/gridstack-all.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    if (((window['Notyf'] !== undefined) && (!(window['Notyf'] instanceof HTMLElement))) || window.requirejs) {\n      var urls = ['https://cdn.holoviz.org/panel/1.0.2/dist/bundled/notificationarea/notyf@3/notyf.min.js'];\n      for (var i = 0; i < urls.length; i++) {\n        skip.push(urls[i])\n      }\n    }    var existing_scripts = []\n    var scripts = document.getElementsByTagName('script')\n    for (var i = 0; i < scripts.length; i++) {\n      var script = scripts[i]\n      if (script.src != null) {\n\texisting_scripts.push(script.src)\n      }\n    }\n    for (var i = 0; i < js_urls.length; i++) {\n      var url = js_urls[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\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    for (var i = 0; i < js_modules.length; i++) {\n      var url = js_modules[i];\n      if (skip.indexOf(url) !== -1 || existing_scripts.indexOf(url) !== -1) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onload = on_load;\n      element.onerror = on_error;\n      element.async = false;\n      element.src = url;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      document.head.appendChild(element);\n    }\n    for (const name in js_exports) {\n      var url = js_exports[name];\n      if (skip.indexOf(url) >= 0 || root[name] != null) {\n\tif (!window.requirejs) {\n\t  on_load();\n\t}\n\tcontinue;\n      }\n      var element = document.createElement('script');\n      element.onerror = on_error;\n      element.async = false;\n      element.type = \"module\";\n      console.debug(\"Bokeh: injecting script tag for BokehJS library: \", url);\n      element.textContent = `\n      import ${name} from \"${url}\"\n      window.${name} = ${name}\n      window._bokeh_on_load()\n      `\n      document.head.appendChild(element);\n    }\n    if (!js_urls.length && !js_modules.length) {\n      on_load()\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  var js_urls = [\"https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ace.js\", \"https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-language_tools.js\", \"https://cdnjs.cloudflare.com/ajax/libs/ace/1.4.11/ext-modelist.js\"];\n  var js_modules = [];\n  var js_exports = {};\n  var css_urls = [];\n  var inline_js = [    function(Bokeh) {\n      inject_raw_css(\"\\n    .scrolling {\\n      overflow: scroll;\\n    }\\n    \");\n    },    function(Bokeh) {\n      Bokeh.set_log_level(\"info\");\n    },\nfunction(Bokeh) {} // ensure no trailing comma for IE\n  ];\n\n  function run_inline_js() {\n    if ((root.Bokeh !== undefined) || (force === true)) {\n      for (var i = 0; i < inline_js.length; i++) {\n        inline_js[i].call(root, root.Bokeh);\n      }\n      // Cache old bokeh versions\n      if (Bokeh != undefined && !reloading) {\n\tvar NewBokeh = root.Bokeh;\n\tif (Bokeh.versions === undefined) {\n\t  Bokeh.versions = new Map();\n\t}\n\tif (NewBokeh.version !== Bokeh.version) {\n\t  Bokeh.versions.set(NewBokeh.version, NewBokeh)\n\t}\n\troot.Bokeh = Bokeh;\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    }\n    root._bokeh_is_initializing = false\n  }\n\n  function load_or_wait() {\n    // Implement a backoff loop that tries to ensure we do not load multiple\n    // versions of Bokeh and its dependencies at the same time.\n    // In recent versions we use the root._bokeh_is_initializing flag\n    // to determine whether there is an ongoing attempt to initialize\n    // bokeh, however for backward compatibility we also try to ensure\n    // that we do not start loading a newer (Panel>=1.0 and Bokeh>3) version\n    // before older versions are fully initialized.\n    if (root._bokeh_is_initializing && Date.now() > root._bokeh_timeout) {\n      root._bokeh_is_initializing = false;\n      root._bokeh_onload_callbacks = undefined;\n      console.log(\"Bokeh: BokehJS was loaded multiple times but one version failed to initialize.\");\n      load_or_wait();\n    } else if (root._bokeh_is_initializing || (typeof root._bokeh_is_initializing === \"undefined\" && root._bokeh_onload_callbacks !== undefined)) {\n      setTimeout(load_or_wait, 100);\n    } else {\n      Bokeh = root.Bokeh;\n      bokeh_loaded = Bokeh != null && (Bokeh.version === py_version || (Bokeh.versions !== undefined && Bokeh.versions.has(py_version)));\n      root._bokeh_is_initializing = true\n      root._bokeh_onload_callbacks = []\n      if (!reloading && (!bokeh_loaded || is_dev)) {\n\troot.Bokeh = undefined;\n      }\n      load_libs(css_urls, js_urls, js_modules, js_exports, function() {\n\tconsole.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n\trun_inline_js();\n      });\n    }\n  }\n  // Give older versions of the autoload script a head-start to ensure\n  // they initialize before we start loading newer version.\n  setTimeout(load_or_wait, 100)\n}(window));"
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style>*[data-root-id],\n",
       "*[data-root-id] > * {\n",
       "  box-sizing: border-box;\n",
       "  font-family: var(--jp-ui-font-family);\n",
       "  font-size: var(--jp-ui-font-size1);\n",
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     "metadata": {},
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   ],
   "source": [
    "import pandas as pd\n",
    "import intake.readers\n",
    "intake.output_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "b7cae65c",
   "metadata": {},
   "outputs": [],
   "source": [
    "# some spoof arguments to make the pandas call more complex\n",
    "path = \"file:///Users/mdurant/code/intake-examples/us_crime/data/crime.csv\"\n",
    "kw = {\"usecols\": None}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8210884",
   "metadata": {},
   "source": [
    "Here is what the user knows, a way to load data:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "32838800",
   "metadata": {},
   "outputs": [
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       "      <td>12.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.7</td>\n",
       "      <td>111.3</td>\n",
       "      <td>2248.8</td>\n",
       "      <td>662.7</td>\n",
       "      <td>1329.3</td>\n",
       "      <td>256.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1966</td>\n",
       "      <td>195576000</td>\n",
       "      <td>430180</td>\n",
       "      <td>11040</td>\n",
       "      <td>25820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>157990</td>\n",
       "      <td>235330</td>\n",
       "      <td>4793300</td>\n",
       "      <td>1410100</td>\n",
       "      <td>...</td>\n",
       "      <td>220.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>13.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.8</td>\n",
       "      <td>120.3</td>\n",
       "      <td>2450.9</td>\n",
       "      <td>721.0</td>\n",
       "      <td>1442.9</td>\n",
       "      <td>286.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1967</td>\n",
       "      <td>197457000</td>\n",
       "      <td>499930</td>\n",
       "      <td>12240</td>\n",
       "      <td>27620</td>\n",
       "      <td>NaN</td>\n",
       "      <td>202910</td>\n",
       "      <td>257160</td>\n",
       "      <td>5403500</td>\n",
       "      <td>1632100</td>\n",
       "      <td>...</td>\n",
       "      <td>253.2</td>\n",
       "      <td>6.2</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102.8</td>\n",
       "      <td>130.2</td>\n",
       "      <td>2736.5</td>\n",
       "      <td>826.6</td>\n",
       "      <td>1575.8</td>\n",
       "      <td>334.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1968</td>\n",
       "      <td>199399000</td>\n",
       "      <td>595010</td>\n",
       "      <td>13800</td>\n",
       "      <td>31670</td>\n",
       "      <td>NaN</td>\n",
       "      <td>262840</td>\n",
       "      <td>286700</td>\n",
       "      <td>6125200</td>\n",
       "      <td>1858900</td>\n",
       "      <td>...</td>\n",
       "      <td>298.4</td>\n",
       "      <td>6.9</td>\n",
       "      <td>15.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.8</td>\n",
       "      <td>143.8</td>\n",
       "      <td>3071.8</td>\n",
       "      <td>932.3</td>\n",
       "      <td>1746.6</td>\n",
       "      <td>393.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1969</td>\n",
       "      <td>201385000</td>\n",
       "      <td>661870</td>\n",
       "      <td>14760</td>\n",
       "      <td>37170</td>\n",
       "      <td>NaN</td>\n",
       "      <td>298850</td>\n",
       "      <td>311090</td>\n",
       "      <td>6749000</td>\n",
       "      <td>1981900</td>\n",
       "      <td>...</td>\n",
       "      <td>328.7</td>\n",
       "      <td>7.3</td>\n",
       "      <td>18.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148.4</td>\n",
       "      <td>154.5</td>\n",
       "      <td>3351.3</td>\n",
       "      <td>984.1</td>\n",
       "      <td>1930.9</td>\n",
       "      <td>436.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1970</td>\n",
       "      <td>203235298</td>\n",
       "      <td>738820</td>\n",
       "      <td>16000</td>\n",
       "      <td>37990</td>\n",
       "      <td>NaN</td>\n",
       "      <td>349860</td>\n",
       "      <td>334970</td>\n",
       "      <td>7359200</td>\n",
       "      <td>2205000</td>\n",
       "      <td>...</td>\n",
       "      <td>363.5</td>\n",
       "      <td>7.9</td>\n",
       "      <td>18.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>172.1</td>\n",
       "      <td>164.8</td>\n",
       "      <td>3621.0</td>\n",
       "      <td>1084.9</td>\n",
       "      <td>2079.3</td>\n",
       "      <td>456.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1971</td>\n",
       "      <td>206212000</td>\n",
       "      <td>816500</td>\n",
       "      <td>17780</td>\n",
       "      <td>42260</td>\n",
       "      <td>NaN</td>\n",
       "      <td>387700</td>\n",
       "      <td>368760</td>\n",
       "      <td>7771700</td>\n",
       "      <td>2399300</td>\n",
       "      <td>...</td>\n",
       "      <td>396.0</td>\n",
       "      <td>8.6</td>\n",
       "      <td>20.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>188.0</td>\n",
       "      <td>178.8</td>\n",
       "      <td>3768.8</td>\n",
       "      <td>1163.5</td>\n",
       "      <td>2145.5</td>\n",
       "      <td>459.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1972</td>\n",
       "      <td>208230000</td>\n",
       "      <td>834900</td>\n",
       "      <td>18670</td>\n",
       "      <td>46850</td>\n",
       "      <td>NaN</td>\n",
       "      <td>376290</td>\n",
       "      <td>393090</td>\n",
       "      <td>7413900</td>\n",
       "      <td>2375500</td>\n",
       "      <td>...</td>\n",
       "      <td>401.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>22.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>180.7</td>\n",
       "      <td>188.8</td>\n",
       "      <td>3560.4</td>\n",
       "      <td>1140.8</td>\n",
       "      <td>1993.6</td>\n",
       "      <td>426.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1973</td>\n",
       "      <td>209851000</td>\n",
       "      <td>875910</td>\n",
       "      <td>19640</td>\n",
       "      <td>51400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>384220</td>\n",
       "      <td>420650</td>\n",
       "      <td>7842200</td>\n",
       "      <td>2565500</td>\n",
       "      <td>...</td>\n",
       "      <td>417.4</td>\n",
       "      <td>9.4</td>\n",
       "      <td>24.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>183.1</td>\n",
       "      <td>200.5</td>\n",
       "      <td>3737.0</td>\n",
       "      <td>1222.5</td>\n",
       "      <td>2071.9</td>\n",
       "      <td>442.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1974</td>\n",
       "      <td>211392000</td>\n",
       "      <td>974720</td>\n",
       "      <td>20710</td>\n",
       "      <td>55400</td>\n",
       "      <td>NaN</td>\n",
       "      <td>442400</td>\n",
       "      <td>456210</td>\n",
       "      <td>9278700</td>\n",
       "      <td>3039200</td>\n",
       "      <td>...</td>\n",
       "      <td>461.1</td>\n",
       "      <td>9.8</td>\n",
       "      <td>26.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>209.3</td>\n",
       "      <td>215.8</td>\n",
       "      <td>4389.3</td>\n",
       "      <td>1437.7</td>\n",
       "      <td>2489.5</td>\n",
       "      <td>462.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1975</td>\n",
       "      <td>213124000</td>\n",
       "      <td>1039710</td>\n",
       "      <td>20510</td>\n",
       "      <td>56090</td>\n",
       "      <td>NaN</td>\n",
       "      <td>470500</td>\n",
       "      <td>492620</td>\n",
       "      <td>10252700</td>\n",
       "      <td>3265300</td>\n",
       "      <td>...</td>\n",
       "      <td>487.8</td>\n",
       "      <td>9.6</td>\n",
       "      <td>26.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>220.8</td>\n",
       "      <td>231.1</td>\n",
       "      <td>4810.7</td>\n",
       "      <td>1532.1</td>\n",
       "      <td>2804.8</td>\n",
       "      <td>473.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1976</td>\n",
       "      <td>214659000</td>\n",
       "      <td>1004210</td>\n",
       "      <td>18780</td>\n",
       "      <td>57080</td>\n",
       "      <td>NaN</td>\n",
       "      <td>427810</td>\n",
       "      <td>500530</td>\n",
       "      <td>10345500</td>\n",
       "      <td>3108700</td>\n",
       "      <td>...</td>\n",
       "      <td>467.8</td>\n",
       "      <td>8.7</td>\n",
       "      <td>26.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>199.3</td>\n",
       "      <td>233.2</td>\n",
       "      <td>4819.5</td>\n",
       "      <td>1448.2</td>\n",
       "      <td>2921.3</td>\n",
       "      <td>450.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1977</td>\n",
       "      <td>216332000</td>\n",
       "      <td>1029580</td>\n",
       "      <td>19120</td>\n",
       "      <td>63500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>412610</td>\n",
       "      <td>534350</td>\n",
       "      <td>9955000</td>\n",
       "      <td>3071500</td>\n",
       "      <td>...</td>\n",
       "      <td>475.9</td>\n",
       "      <td>8.8</td>\n",
       "      <td>29.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>190.7</td>\n",
       "      <td>247.0</td>\n",
       "      <td>4601.7</td>\n",
       "      <td>1419.8</td>\n",
       "      <td>2729.9</td>\n",
       "      <td>451.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1978</td>\n",
       "      <td>218059000</td>\n",
       "      <td>1085550</td>\n",
       "      <td>19560</td>\n",
       "      <td>67610</td>\n",
       "      <td>NaN</td>\n",
       "      <td>426930</td>\n",
       "      <td>571460</td>\n",
       "      <td>10123400</td>\n",
       "      <td>3128300</td>\n",
       "      <td>...</td>\n",
       "      <td>497.8</td>\n",
       "      <td>9.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>195.8</td>\n",
       "      <td>262.1</td>\n",
       "      <td>4642.5</td>\n",
       "      <td>1434.6</td>\n",
       "      <td>2747.4</td>\n",
       "      <td>460.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1979</td>\n",
       "      <td>220099000</td>\n",
       "      <td>1208030</td>\n",
       "      <td>21460</td>\n",
       "      <td>76390</td>\n",
       "      <td>NaN</td>\n",
       "      <td>480700</td>\n",
       "      <td>629480</td>\n",
       "      <td>11041500</td>\n",
       "      <td>3327700</td>\n",
       "      <td>...</td>\n",
       "      <td>548.9</td>\n",
       "      <td>9.8</td>\n",
       "      <td>34.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>218.4</td>\n",
       "      <td>286.0</td>\n",
       "      <td>5016.6</td>\n",
       "      <td>1511.9</td>\n",
       "      <td>2999.1</td>\n",
       "      <td>505.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1980</td>\n",
       "      <td>225349264</td>\n",
       "      <td>1344520</td>\n",
       "      <td>23040</td>\n",
       "      <td>82990</td>\n",
       "      <td>NaN</td>\n",
       "      <td>565840</td>\n",
       "      <td>672650</td>\n",
       "      <td>12063700</td>\n",
       "      <td>3795200</td>\n",
       "      <td>...</td>\n",
       "      <td>596.6</td>\n",
       "      <td>10.2</td>\n",
       "      <td>36.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>251.1</td>\n",
       "      <td>298.5</td>\n",
       "      <td>5353.3</td>\n",
       "      <td>1684.1</td>\n",
       "      <td>3167.0</td>\n",
       "      <td>502.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1981</td>\n",
       "      <td>229465714</td>\n",
       "      <td>1361820</td>\n",
       "      <td>22520</td>\n",
       "      <td>82500</td>\n",
       "      <td>NaN</td>\n",
       "      <td>592910</td>\n",
       "      <td>663900</td>\n",
       "      <td>12061900</td>\n",
       "      <td>3779700</td>\n",
       "      <td>...</td>\n",
       "      <td>593.5</td>\n",
       "      <td>9.8</td>\n",
       "      <td>36.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>258.4</td>\n",
       "      <td>289.3</td>\n",
       "      <td>5256.5</td>\n",
       "      <td>1647.2</td>\n",
       "      <td>3135.3</td>\n",
       "      <td>474.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1982</td>\n",
       "      <td>231664458</td>\n",
       "      <td>1322390</td>\n",
       "      <td>21010</td>\n",
       "      <td>78770</td>\n",
       "      <td>NaN</td>\n",
       "      <td>553130</td>\n",
       "      <td>669480</td>\n",
       "      <td>11652000</td>\n",
       "      <td>3447100</td>\n",
       "      <td>...</td>\n",
       "      <td>570.8</td>\n",
       "      <td>9.1</td>\n",
       "      <td>34.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>238.8</td>\n",
       "      <td>289.0</td>\n",
       "      <td>5029.7</td>\n",
       "      <td>1488.0</td>\n",
       "      <td>3083.1</td>\n",
       "      <td>458.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1983</td>\n",
       "      <td>233791994</td>\n",
       "      <td>1258087</td>\n",
       "      <td>19308</td>\n",
       "      <td>78918</td>\n",
       "      <td>NaN</td>\n",
       "      <td>506567</td>\n",
       "      <td>653294</td>\n",
       "      <td>10850543</td>\n",
       "      <td>3129851</td>\n",
       "      <td>...</td>\n",
       "      <td>538.1</td>\n",
       "      <td>8.3</td>\n",
       "      <td>33.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>216.7</td>\n",
       "      <td>279.4</td>\n",
       "      <td>4641.1</td>\n",
       "      <td>1338.7</td>\n",
       "      <td>2871.3</td>\n",
       "      <td>431.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1984</td>\n",
       "      <td>235824902</td>\n",
       "      <td>1273282</td>\n",
       "      <td>18692</td>\n",
       "      <td>84233</td>\n",
       "      <td>NaN</td>\n",
       "      <td>485008</td>\n",
       "      <td>685349</td>\n",
       "      <td>10608473</td>\n",
       "      <td>2984434</td>\n",
       "      <td>...</td>\n",
       "      <td>539.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>35.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>205.7</td>\n",
       "      <td>290.6</td>\n",
       "      <td>4498.5</td>\n",
       "      <td>1265.5</td>\n",
       "      <td>2795.2</td>\n",
       "      <td>437.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1985</td>\n",
       "      <td>237923795</td>\n",
       "      <td>1327767</td>\n",
       "      <td>18976</td>\n",
       "      <td>87671</td>\n",
       "      <td>NaN</td>\n",
       "      <td>497874</td>\n",
       "      <td>723246</td>\n",
       "      <td>11102590</td>\n",
       "      <td>3073348</td>\n",
       "      <td>...</td>\n",
       "      <td>558.1</td>\n",
       "      <td>8.0</td>\n",
       "      <td>36.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>209.3</td>\n",
       "      <td>304.0</td>\n",
       "      <td>4666.4</td>\n",
       "      <td>1291.7</td>\n",
       "      <td>2911.2</td>\n",
       "      <td>463.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1986</td>\n",
       "      <td>240132887</td>\n",
       "      <td>1489169</td>\n",
       "      <td>20613</td>\n",
       "      <td>91459</td>\n",
       "      <td>NaN</td>\n",
       "      <td>542775</td>\n",
       "      <td>834322</td>\n",
       "      <td>11722700</td>\n",
       "      <td>3241410</td>\n",
       "      <td>...</td>\n",
       "      <td>620.1</td>\n",
       "      <td>8.6</td>\n",
       "      <td>38.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>226.0</td>\n",
       "      <td>347.4</td>\n",
       "      <td>4881.8</td>\n",
       "      <td>1349.8</td>\n",
       "      <td>3022.1</td>\n",
       "      <td>509.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1987</td>\n",
       "      <td>242288918</td>\n",
       "      <td>1483999</td>\n",
       "      <td>20096</td>\n",
       "      <td>91111</td>\n",
       "      <td>NaN</td>\n",
       "      <td>517704</td>\n",
       "      <td>855088</td>\n",
       "      <td>12024709</td>\n",
       "      <td>3236184</td>\n",
       "      <td>...</td>\n",
       "      <td>612.5</td>\n",
       "      <td>8.3</td>\n",
       "      <td>37.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>213.7</td>\n",
       "      <td>352.9</td>\n",
       "      <td>4963.0</td>\n",
       "      <td>1335.7</td>\n",
       "      <td>3095.4</td>\n",
       "      <td>531.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1988</td>\n",
       "      <td>244498982</td>\n",
       "      <td>1566221</td>\n",
       "      <td>20675</td>\n",
       "      <td>92486</td>\n",
       "      <td>NaN</td>\n",
       "      <td>542968</td>\n",
       "      <td>910092</td>\n",
       "      <td>12356865</td>\n",
       "      <td>3218077</td>\n",
       "      <td>...</td>\n",
       "      <td>640.6</td>\n",
       "      <td>8.5</td>\n",
       "      <td>37.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>222.1</td>\n",
       "      <td>372.2</td>\n",
       "      <td>5054.0</td>\n",
       "      <td>1316.2</td>\n",
       "      <td>3151.7</td>\n",
       "      <td>586.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1989</td>\n",
       "      <td>246819230</td>\n",
       "      <td>1646037</td>\n",
       "      <td>21500</td>\n",
       "      <td>94504</td>\n",
       "      <td>NaN</td>\n",
       "      <td>578326</td>\n",
       "      <td>951707</td>\n",
       "      <td>12605412</td>\n",
       "      <td>3168170</td>\n",
       "      <td>...</td>\n",
       "      <td>666.9</td>\n",
       "      <td>8.7</td>\n",
       "      <td>38.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>234.3</td>\n",
       "      <td>385.6</td>\n",
       "      <td>5107.1</td>\n",
       "      <td>1283.6</td>\n",
       "      <td>3189.6</td>\n",
       "      <td>634.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1990</td>\n",
       "      <td>249464396</td>\n",
       "      <td>1820127</td>\n",
       "      <td>23438</td>\n",
       "      <td>102555</td>\n",
       "      <td>NaN</td>\n",
       "      <td>639271</td>\n",
       "      <td>1054863</td>\n",
       "      <td>12655486</td>\n",
       "      <td>3073909</td>\n",
       "      <td>...</td>\n",
       "      <td>729.6</td>\n",
       "      <td>9.4</td>\n",
       "      <td>41.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>256.3</td>\n",
       "      <td>422.9</td>\n",
       "      <td>5073.1</td>\n",
       "      <td>1232.2</td>\n",
       "      <td>3185.1</td>\n",
       "      <td>655.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1991</td>\n",
       "      <td>252153092</td>\n",
       "      <td>1911767</td>\n",
       "      <td>24703</td>\n",
       "      <td>106593</td>\n",
       "      <td>NaN</td>\n",
       "      <td>687732</td>\n",
       "      <td>1092739</td>\n",
       "      <td>12961116</td>\n",
       "      <td>3157150</td>\n",
       "      <td>...</td>\n",
       "      <td>758.2</td>\n",
       "      <td>9.8</td>\n",
       "      <td>42.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>272.7</td>\n",
       "      <td>433.4</td>\n",
       "      <td>5140.2</td>\n",
       "      <td>1252.1</td>\n",
       "      <td>3229.1</td>\n",
       "      <td>659.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1992</td>\n",
       "      <td>255029699</td>\n",
       "      <td>1932274</td>\n",
       "      <td>23760</td>\n",
       "      <td>109062</td>\n",
       "      <td>NaN</td>\n",
       "      <td>672478</td>\n",
       "      <td>1126974</td>\n",
       "      <td>12505917</td>\n",
       "      <td>2979884</td>\n",
       "      <td>...</td>\n",
       "      <td>757.7</td>\n",
       "      <td>9.3</td>\n",
       "      <td>42.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>263.7</td>\n",
       "      <td>441.9</td>\n",
       "      <td>4903.7</td>\n",
       "      <td>1168.4</td>\n",
       "      <td>3103.6</td>\n",
       "      <td>631.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1993</td>\n",
       "      <td>257782608</td>\n",
       "      <td>1926017</td>\n",
       "      <td>24526</td>\n",
       "      <td>106014</td>\n",
       "      <td>NaN</td>\n",
       "      <td>659870</td>\n",
       "      <td>1135607</td>\n",
       "      <td>12218777</td>\n",
       "      <td>2834808</td>\n",
       "      <td>...</td>\n",
       "      <td>747.1</td>\n",
       "      <td>9.5</td>\n",
       "      <td>41.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>256.0</td>\n",
       "      <td>440.5</td>\n",
       "      <td>4740.0</td>\n",
       "      <td>1099.7</td>\n",
       "      <td>3033.9</td>\n",
       "      <td>606.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>1994</td>\n",
       "      <td>260327021</td>\n",
       "      <td>1857670</td>\n",
       "      <td>23326</td>\n",
       "      <td>102216</td>\n",
       "      <td>NaN</td>\n",
       "      <td>618949</td>\n",
       "      <td>1113179</td>\n",
       "      <td>12131873</td>\n",
       "      <td>2712774</td>\n",
       "      <td>...</td>\n",
       "      <td>713.6</td>\n",
       "      <td>9.0</td>\n",
       "      <td>39.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>237.8</td>\n",
       "      <td>427.6</td>\n",
       "      <td>4660.2</td>\n",
       "      <td>1042.1</td>\n",
       "      <td>3026.9</td>\n",
       "      <td>591.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1995</td>\n",
       "      <td>262803276</td>\n",
       "      <td>1798792</td>\n",
       "      <td>21606</td>\n",
       "      <td>97470</td>\n",
       "      <td>NaN</td>\n",
       "      <td>580509</td>\n",
       "      <td>1099207</td>\n",
       "      <td>12063935</td>\n",
       "      <td>2593784</td>\n",
       "      <td>...</td>\n",
       "      <td>684.5</td>\n",
       "      <td>8.2</td>\n",
       "      <td>37.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>220.9</td>\n",
       "      <td>418.3</td>\n",
       "      <td>4590.5</td>\n",
       "      <td>987.0</td>\n",
       "      <td>3043.2</td>\n",
       "      <td>560.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1996</td>\n",
       "      <td>265228572</td>\n",
       "      <td>1688540</td>\n",
       "      <td>19645</td>\n",
       "      <td>96252</td>\n",
       "      <td>NaN</td>\n",
       "      <td>535594</td>\n",
       "      <td>1037049</td>\n",
       "      <td>11805323</td>\n",
       "      <td>2506400</td>\n",
       "      <td>...</td>\n",
       "      <td>636.6</td>\n",
       "      <td>7.4</td>\n",
       "      <td>36.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>201.9</td>\n",
       "      <td>391.0</td>\n",
       "      <td>4451.0</td>\n",
       "      <td>945.0</td>\n",
       "      <td>2980.3</td>\n",
       "      <td>525.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1997</td>\n",
       "      <td>267783607</td>\n",
       "      <td>1636096</td>\n",
       "      <td>18208</td>\n",
       "      <td>96153</td>\n",
       "      <td>NaN</td>\n",
       "      <td>498534</td>\n",
       "      <td>1023201</td>\n",
       "      <td>11558475</td>\n",
       "      <td>2460526</td>\n",
       "      <td>...</td>\n",
       "      <td>611.0</td>\n",
       "      <td>6.8</td>\n",
       "      <td>35.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>186.2</td>\n",
       "      <td>382.1</td>\n",
       "      <td>4316.3</td>\n",
       "      <td>918.8</td>\n",
       "      <td>2891.8</td>\n",
       "      <td>505.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>1998</td>\n",
       "      <td>270248003</td>\n",
       "      <td>1533887</td>\n",
       "      <td>16974</td>\n",
       "      <td>93144</td>\n",
       "      <td>NaN</td>\n",
       "      <td>447186</td>\n",
       "      <td>976583</td>\n",
       "      <td>10951827</td>\n",
       "      <td>2332735</td>\n",
       "      <td>...</td>\n",
       "      <td>567.6</td>\n",
       "      <td>6.3</td>\n",
       "      <td>34.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>165.5</td>\n",
       "      <td>361.4</td>\n",
       "      <td>4052.5</td>\n",
       "      <td>863.2</td>\n",
       "      <td>2729.5</td>\n",
       "      <td>459.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>1999</td>\n",
       "      <td>272690813</td>\n",
       "      <td>1426044</td>\n",
       "      <td>15522</td>\n",
       "      <td>89411</td>\n",
       "      <td>NaN</td>\n",
       "      <td>409371</td>\n",
       "      <td>911740</td>\n",
       "      <td>10208334</td>\n",
       "      <td>2100739</td>\n",
       "      <td>...</td>\n",
       "      <td>523.0</td>\n",
       "      <td>5.7</td>\n",
       "      <td>32.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150.1</td>\n",
       "      <td>334.3</td>\n",
       "      <td>3743.6</td>\n",
       "      <td>770.4</td>\n",
       "      <td>2550.7</td>\n",
       "      <td>422.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2000</td>\n",
       "      <td>281421906</td>\n",
       "      <td>1425486</td>\n",
       "      <td>15586</td>\n",
       "      <td>90178</td>\n",
       "      <td>NaN</td>\n",
       "      <td>408016</td>\n",
       "      <td>911706</td>\n",
       "      <td>10182584</td>\n",
       "      <td>2050992</td>\n",
       "      <td>...</td>\n",
       "      <td>506.5</td>\n",
       "      <td>5.5</td>\n",
       "      <td>32.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145.0</td>\n",
       "      <td>324.0</td>\n",
       "      <td>3618.3</td>\n",
       "      <td>728.8</td>\n",
       "      <td>2477.3</td>\n",
       "      <td>412.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>2001</td>\n",
       "      <td>285317559</td>\n",
       "      <td>1439480</td>\n",
       "      <td>16037</td>\n",
       "      <td>90863</td>\n",
       "      <td>NaN</td>\n",
       "      <td>423557</td>\n",
       "      <td>909023</td>\n",
       "      <td>10437189</td>\n",
       "      <td>2116531</td>\n",
       "      <td>...</td>\n",
       "      <td>504.5</td>\n",
       "      <td>5.6</td>\n",
       "      <td>31.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148.5</td>\n",
       "      <td>318.6</td>\n",
       "      <td>3658.1</td>\n",
       "      <td>741.8</td>\n",
       "      <td>2485.7</td>\n",
       "      <td>430.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2002</td>\n",
       "      <td>287973924</td>\n",
       "      <td>1423677</td>\n",
       "      <td>16229</td>\n",
       "      <td>95235</td>\n",
       "      <td>NaN</td>\n",
       "      <td>420806</td>\n",
       "      <td>891407</td>\n",
       "      <td>10455277</td>\n",
       "      <td>2151252</td>\n",
       "      <td>...</td>\n",
       "      <td>494.4</td>\n",
       "      <td>5.6</td>\n",
       "      <td>33.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>146.1</td>\n",
       "      <td>309.5</td>\n",
       "      <td>3630.6</td>\n",
       "      <td>747.0</td>\n",
       "      <td>2450.7</td>\n",
       "      <td>432.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2003</td>\n",
       "      <td>290788976</td>\n",
       "      <td>1383676</td>\n",
       "      <td>16528</td>\n",
       "      <td>93883</td>\n",
       "      <td>NaN</td>\n",
       "      <td>414235</td>\n",
       "      <td>859030</td>\n",
       "      <td>10442862</td>\n",
       "      <td>2154834</td>\n",
       "      <td>...</td>\n",
       "      <td>475.8</td>\n",
       "      <td>5.7</td>\n",
       "      <td>32.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>142.5</td>\n",
       "      <td>295.4</td>\n",
       "      <td>3591.2</td>\n",
       "      <td>741.0</td>\n",
       "      <td>2416.5</td>\n",
       "      <td>433.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>2004</td>\n",
       "      <td>293656842</td>\n",
       "      <td>1360088</td>\n",
       "      <td>16148</td>\n",
       "      <td>95089</td>\n",
       "      <td>NaN</td>\n",
       "      <td>401470</td>\n",
       "      <td>847381</td>\n",
       "      <td>10319386</td>\n",
       "      <td>2144446</td>\n",
       "      <td>...</td>\n",
       "      <td>463.2</td>\n",
       "      <td>5.5</td>\n",
       "      <td>32.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>136.7</td>\n",
       "      <td>288.6</td>\n",
       "      <td>3514.1</td>\n",
       "      <td>730.3</td>\n",
       "      <td>2362.3</td>\n",
       "      <td>421.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>2005</td>\n",
       "      <td>296507061</td>\n",
       "      <td>1390745</td>\n",
       "      <td>16740</td>\n",
       "      <td>94347</td>\n",
       "      <td>NaN</td>\n",
       "      <td>417438</td>\n",
       "      <td>862220</td>\n",
       "      <td>10174754</td>\n",
       "      <td>2155448</td>\n",
       "      <td>...</td>\n",
       "      <td>469.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>31.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>140.8</td>\n",
       "      <td>290.8</td>\n",
       "      <td>3431.5</td>\n",
       "      <td>726.9</td>\n",
       "      <td>2287.8</td>\n",
       "      <td>416.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>2006</td>\n",
       "      <td>299398484</td>\n",
       "      <td>1435123</td>\n",
       "      <td>17309</td>\n",
       "      <td>94472</td>\n",
       "      <td>NaN</td>\n",
       "      <td>449246</td>\n",
       "      <td>874096</td>\n",
       "      <td>10019601</td>\n",
       "      <td>2194993</td>\n",
       "      <td>...</td>\n",
       "      <td>479.3</td>\n",
       "      <td>5.8</td>\n",
       "      <td>31.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>150.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>3346.6</td>\n",
       "      <td>733.1</td>\n",
       "      <td>2213.2</td>\n",
       "      <td>400.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>2007</td>\n",
       "      <td>301621157</td>\n",
       "      <td>1422970</td>\n",
       "      <td>17128</td>\n",
       "      <td>92160</td>\n",
       "      <td>NaN</td>\n",
       "      <td>447324</td>\n",
       "      <td>866358</td>\n",
       "      <td>9882212</td>\n",
       "      <td>2190198</td>\n",
       "      <td>...</td>\n",
       "      <td>471.8</td>\n",
       "      <td>5.7</td>\n",
       "      <td>30.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148.3</td>\n",
       "      <td>287.2</td>\n",
       "      <td>3276.4</td>\n",
       "      <td>726.1</td>\n",
       "      <td>2185.4</td>\n",
       "      <td>364.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>2008</td>\n",
       "      <td>304059724</td>\n",
       "      <td>1394461</td>\n",
       "      <td>16465</td>\n",
       "      <td>90750</td>\n",
       "      <td>NaN</td>\n",
       "      <td>443563</td>\n",
       "      <td>843683</td>\n",
       "      <td>9774152</td>\n",
       "      <td>2228887</td>\n",
       "      <td>...</td>\n",
       "      <td>458.6</td>\n",
       "      <td>5.4</td>\n",
       "      <td>29.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>145.9</td>\n",
       "      <td>277.5</td>\n",
       "      <td>3214.6</td>\n",
       "      <td>733.0</td>\n",
       "      <td>2166.1</td>\n",
       "      <td>315.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>2009</td>\n",
       "      <td>307006550</td>\n",
       "      <td>1325896</td>\n",
       "      <td>15399</td>\n",
       "      <td>89241</td>\n",
       "      <td>NaN</td>\n",
       "      <td>408742</td>\n",
       "      <td>812514</td>\n",
       "      <td>9337060</td>\n",
       "      <td>2203313</td>\n",
       "      <td>...</td>\n",
       "      <td>431.9</td>\n",
       "      <td>5.0</td>\n",
       "      <td>29.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>133.1</td>\n",
       "      <td>264.7</td>\n",
       "      <td>3041.3</td>\n",
       "      <td>717.7</td>\n",
       "      <td>2064.5</td>\n",
       "      <td>259.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>2010</td>\n",
       "      <td>309330219</td>\n",
       "      <td>1251248</td>\n",
       "      <td>14722</td>\n",
       "      <td>85593</td>\n",
       "      <td>NaN</td>\n",
       "      <td>369089</td>\n",
       "      <td>781844</td>\n",
       "      <td>9112625</td>\n",
       "      <td>2168459</td>\n",
       "      <td>...</td>\n",
       "      <td>404.5</td>\n",
       "      <td>4.8</td>\n",
       "      <td>27.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>119.3</td>\n",
       "      <td>252.8</td>\n",
       "      <td>2945.9</td>\n",
       "      <td>701.0</td>\n",
       "      <td>2005.8</td>\n",
       "      <td>239.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>2011</td>\n",
       "      <td>311587816</td>\n",
       "      <td>1206031</td>\n",
       "      <td>14661</td>\n",
       "      <td>84175</td>\n",
       "      <td>NaN</td>\n",
       "      <td>354772</td>\n",
       "      <td>752423</td>\n",
       "      <td>9052743</td>\n",
       "      <td>2185140</td>\n",
       "      <td>...</td>\n",
       "      <td>387.1</td>\n",
       "      <td>4.7</td>\n",
       "      <td>27.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.9</td>\n",
       "      <td>241.5</td>\n",
       "      <td>2905.4</td>\n",
       "      <td>701.3</td>\n",
       "      <td>1974.1</td>\n",
       "      <td>230.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>2012</td>\n",
       "      <td>313873685</td>\n",
       "      <td>1217067</td>\n",
       "      <td>14866</td>\n",
       "      <td>85141</td>\n",
       "      <td>NaN</td>\n",
       "      <td>355051</td>\n",
       "      <td>762009</td>\n",
       "      <td>9001992</td>\n",
       "      <td>2109932</td>\n",
       "      <td>...</td>\n",
       "      <td>387.8</td>\n",
       "      <td>4.7</td>\n",
       "      <td>27.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113.1</td>\n",
       "      <td>242.8</td>\n",
       "      <td>2868.0</td>\n",
       "      <td>672.2</td>\n",
       "      <td>1965.4</td>\n",
       "      <td>230.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>2013</td>\n",
       "      <td>316497531</td>\n",
       "      <td>1199684</td>\n",
       "      <td>14319</td>\n",
       "      <td>82109</td>\n",
       "      <td>113695.0</td>\n",
       "      <td>345095</td>\n",
       "      <td>726575</td>\n",
       "      <td>8650761</td>\n",
       "      <td>1931835</td>\n",
       "      <td>...</td>\n",
       "      <td>379.1</td>\n",
       "      <td>4.5</td>\n",
       "      <td>25.9</td>\n",
       "      <td>35.9</td>\n",
       "      <td>109.0</td>\n",
       "      <td>229.6</td>\n",
       "      <td>2733.3</td>\n",
       "      <td>610.4</td>\n",
       "      <td>1901.6</td>\n",
       "      <td>221.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>2014</td>\n",
       "      <td>318857056</td>\n",
       "      <td>1197987</td>\n",
       "      <td>14249</td>\n",
       "      <td>84041</td>\n",
       "      <td>116645.0</td>\n",
       "      <td>325802</td>\n",
       "      <td>741291</td>\n",
       "      <td>8277829</td>\n",
       "      <td>1729806</td>\n",
       "      <td>...</td>\n",
       "      <td>375.7</td>\n",
       "      <td>4.5</td>\n",
       "      <td>26.4</td>\n",
       "      <td>36.6</td>\n",
       "      <td>102.2</td>\n",
       "      <td>232.5</td>\n",
       "      <td>2596.1</td>\n",
       "      <td>542.5</td>\n",
       "      <td>1837.3</td>\n",
       "      <td>216.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>55 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "    Year  Population  Violent crime total   \n",
       "0   1960   179323175               288460  \\\n",
       "1   1961   182992000               289390   \n",
       "2   1962   185771000               301510   \n",
       "3   1963   188483000               316970   \n",
       "4   1964   191141000               364220   \n",
       "5   1965   193526000               387390   \n",
       "6   1966   195576000               430180   \n",
       "7   1967   197457000               499930   \n",
       "8   1968   199399000               595010   \n",
       "9   1969   201385000               661870   \n",
       "10  1970   203235298               738820   \n",
       "11  1971   206212000               816500   \n",
       "12  1972   208230000               834900   \n",
       "13  1973   209851000               875910   \n",
       "14  1974   211392000               974720   \n",
       "15  1975   213124000              1039710   \n",
       "16  1976   214659000              1004210   \n",
       "17  1977   216332000              1029580   \n",
       "18  1978   218059000              1085550   \n",
       "19  1979   220099000              1208030   \n",
       "20  1980   225349264              1344520   \n",
       "21  1981   229465714              1361820   \n",
       "22  1982   231664458              1322390   \n",
       "23  1983   233791994              1258087   \n",
       "24  1984   235824902              1273282   \n",
       "25  1985   237923795              1327767   \n",
       "26  1986   240132887              1489169   \n",
       "27  1987   242288918              1483999   \n",
       "28  1988   244498982              1566221   \n",
       "29  1989   246819230              1646037   \n",
       "30  1990   249464396              1820127   \n",
       "31  1991   252153092              1911767   \n",
       "32  1992   255029699              1932274   \n",
       "33  1993   257782608              1926017   \n",
       "34  1994   260327021              1857670   \n",
       "35  1995   262803276              1798792   \n",
       "36  1996   265228572              1688540   \n",
       "37  1997   267783607              1636096   \n",
       "38  1998   270248003              1533887   \n",
       "39  1999   272690813              1426044   \n",
       "40  2000   281421906              1425486   \n",
       "41  2001   285317559              1439480   \n",
       "42  2002   287973924              1423677   \n",
       "43  2003   290788976              1383676   \n",
       "44  2004   293656842              1360088   \n",
       "45  2005   296507061              1390745   \n",
       "46  2006   299398484              1435123   \n",
       "47  2007   301621157              1422970   \n",
       "48  2008   304059724              1394461   \n",
       "49  2009   307006550              1325896   \n",
       "50  2010   309330219              1251248   \n",
       "51  2011   311587816              1206031   \n",
       "52  2012   313873685              1217067   \n",
       "53  2013   316497531              1199684   \n",
       "54  2014   318857056              1197987   \n",
       "\n",
       "    Murder and nonnegligent Manslaughter  Legacy rape /1  Revised rape /2   \n",
       "0                                   9110           17190              NaN  \\\n",
       "1                                   8740           17220              NaN   \n",
       "2                                   8530           17550              NaN   \n",
       "3                                   8640           17650              NaN   \n",
       "4                                   9360           21420              NaN   \n",
       "5                                   9960           23410              NaN   \n",
       "6                                  11040           25820              NaN   \n",
       "7                                  12240           27620              NaN   \n",
       "8                                  13800           31670              NaN   \n",
       "9                                  14760           37170              NaN   \n",
       "10                                 16000           37990              NaN   \n",
       "11                                 17780           42260              NaN   \n",
       "12                                 18670           46850              NaN   \n",
       "13                                 19640           51400              NaN   \n",
       "14                                 20710           55400              NaN   \n",
       "15                                 20510           56090              NaN   \n",
       "16                                 18780           57080              NaN   \n",
       "17                                 19120           63500              NaN   \n",
       "18                                 19560           67610              NaN   \n",
       "19                                 21460           76390              NaN   \n",
       "20                                 23040           82990              NaN   \n",
       "21                                 22520           82500              NaN   \n",
       "22                                 21010           78770              NaN   \n",
       "23                                 19308           78918              NaN   \n",
       "24                                 18692           84233              NaN   \n",
       "25                                 18976           87671              NaN   \n",
       "26                                 20613           91459              NaN   \n",
       "27                                 20096           91111              NaN   \n",
       "28                                 20675           92486              NaN   \n",
       "29                                 21500           94504              NaN   \n",
       "30                                 23438          102555              NaN   \n",
       "31                                 24703          106593              NaN   \n",
       "32                                 23760          109062              NaN   \n",
       "33                                 24526          106014              NaN   \n",
       "34                                 23326          102216              NaN   \n",
       "35                                 21606           97470              NaN   \n",
       "36                                 19645           96252              NaN   \n",
       "37                                 18208           96153              NaN   \n",
       "38                                 16974           93144              NaN   \n",
       "39                                 15522           89411              NaN   \n",
       "40                                 15586           90178              NaN   \n",
       "41                                 16037           90863              NaN   \n",
       "42                                 16229           95235              NaN   \n",
       "43                                 16528           93883              NaN   \n",
       "44                                 16148           95089              NaN   \n",
       "45                                 16740           94347              NaN   \n",
       "46                                 17309           94472              NaN   \n",
       "47                                 17128           92160              NaN   \n",
       "48                                 16465           90750              NaN   \n",
       "49                                 15399           89241              NaN   \n",
       "50                                 14722           85593              NaN   \n",
       "51                                 14661           84175              NaN   \n",
       "52                                 14866           85141              NaN   \n",
       "53                                 14319           82109         113695.0   \n",
       "54                                 14249           84041         116645.0   \n",
       "\n",
       "    Robbery  Aggravated assault  Property crime total  Burglary  ...   \n",
       "0    107840              154320               3095700    912100  ...  \\\n",
       "1    106670              156760               3198600    949600  ...   \n",
       "2    110860              164570               3450700    994300  ...   \n",
       "3    116470              174210               3792500   1086400  ...   \n",
       "4    130390              203050               4200400   1213200  ...   \n",
       "5    138690              215330               4352000   1282500  ...   \n",
       "6    157990              235330               4793300   1410100  ...   \n",
       "7    202910              257160               5403500   1632100  ...   \n",
       "8    262840              286700               6125200   1858900  ...   \n",
       "9    298850              311090               6749000   1981900  ...   \n",
       "10   349860              334970               7359200   2205000  ...   \n",
       "11   387700              368760               7771700   2399300  ...   \n",
       "12   376290              393090               7413900   2375500  ...   \n",
       "13   384220              420650               7842200   2565500  ...   \n",
       "14   442400              456210               9278700   3039200  ...   \n",
       "15   470500              492620              10252700   3265300  ...   \n",
       "16   427810              500530              10345500   3108700  ...   \n",
       "17   412610              534350               9955000   3071500  ...   \n",
       "18   426930              571460              10123400   3128300  ...   \n",
       "19   480700              629480              11041500   3327700  ...   \n",
       "20   565840              672650              12063700   3795200  ...   \n",
       "21   592910              663900              12061900   3779700  ...   \n",
       "22   553130              669480              11652000   3447100  ...   \n",
       "23   506567              653294              10850543   3129851  ...   \n",
       "24   485008              685349              10608473   2984434  ...   \n",
       "25   497874              723246              11102590   3073348  ...   \n",
       "26   542775              834322              11722700   3241410  ...   \n",
       "27   517704              855088              12024709   3236184  ...   \n",
       "28   542968              910092              12356865   3218077  ...   \n",
       "29   578326              951707              12605412   3168170  ...   \n",
       "30   639271             1054863              12655486   3073909  ...   \n",
       "31   687732             1092739              12961116   3157150  ...   \n",
       "32   672478             1126974              12505917   2979884  ...   \n",
       "33   659870             1135607              12218777   2834808  ...   \n",
       "34   618949             1113179              12131873   2712774  ...   \n",
       "35   580509             1099207              12063935   2593784  ...   \n",
       "36   535594             1037049              11805323   2506400  ...   \n",
       "37   498534             1023201              11558475   2460526  ...   \n",
       "38   447186              976583              10951827   2332735  ...   \n",
       "39   409371              911740              10208334   2100739  ...   \n",
       "40   408016              911706              10182584   2050992  ...   \n",
       "41   423557              909023              10437189   2116531  ...   \n",
       "42   420806              891407              10455277   2151252  ...   \n",
       "43   414235              859030              10442862   2154834  ...   \n",
       "44   401470              847381              10319386   2144446  ...   \n",
       "45   417438              862220              10174754   2155448  ...   \n",
       "46   449246              874096              10019601   2194993  ...   \n",
       "47   447324              866358               9882212   2190198  ...   \n",
       "48   443563              843683               9774152   2228887  ...   \n",
       "49   408742              812514               9337060   2203313  ...   \n",
       "50   369089              781844               9112625   2168459  ...   \n",
       "51   354772              752423               9052743   2185140  ...   \n",
       "52   355051              762009               9001992   2109932  ...   \n",
       "53   345095              726575               8650761   1931835  ...   \n",
       "54   325802              741291               8277829   1729806  ...   \n",
       "\n",
       "    Violent Crime rate  Murder and nonnegligent manslaughter rate   \n",
       "0                160.9                                        5.1  \\\n",
       "1                158.1                                        4.8   \n",
       "2                162.3                                        4.6   \n",
       "3                168.2                                        4.6   \n",
       "4                190.6                                        4.9   \n",
       "5                200.2                                        5.1   \n",
       "6                220.0                                        5.6   \n",
       "7                253.2                                        6.2   \n",
       "8                298.4                                        6.9   \n",
       "9                328.7                                        7.3   \n",
       "10               363.5                                        7.9   \n",
       "11               396.0                                        8.6   \n",
       "12               401.0                                        9.0   \n",
       "13               417.4                                        9.4   \n",
       "14               461.1                                        9.8   \n",
       "15               487.8                                        9.6   \n",
       "16               467.8                                        8.7   \n",
       "17               475.9                                        8.8   \n",
       "18               497.8                                        9.0   \n",
       "19               548.9                                        9.8   \n",
       "20               596.6                                       10.2   \n",
       "21               593.5                                        9.8   \n",
       "22               570.8                                        9.1   \n",
       "23               538.1                                        8.3   \n",
       "24               539.9                                        7.9   \n",
       "25               558.1                                        8.0   \n",
       "26               620.1                                        8.6   \n",
       "27               612.5                                        8.3   \n",
       "28               640.6                                        8.5   \n",
       "29               666.9                                        8.7   \n",
       "30               729.6                                        9.4   \n",
       "31               758.2                                        9.8   \n",
       "32               757.7                                        9.3   \n",
       "33               747.1                                        9.5   \n",
       "34               713.6                                        9.0   \n",
       "35               684.5                                        8.2   \n",
       "36               636.6                                        7.4   \n",
       "37               611.0                                        6.8   \n",
       "38               567.6                                        6.3   \n",
       "39               523.0                                        5.7   \n",
       "40               506.5                                        5.5   \n",
       "41               504.5                                        5.6   \n",
       "42               494.4                                        5.6   \n",
       "43               475.8                                        5.7   \n",
       "44               463.2                                        5.5   \n",
       "45               469.0                                        5.6   \n",
       "46               479.3                                        5.8   \n",
       "47               471.8                                        5.7   \n",
       "48               458.6                                        5.4   \n",
       "49               431.9                                        5.0   \n",
       "50               404.5                                        4.8   \n",
       "51               387.1                                        4.7   \n",
       "52               387.8                                        4.7   \n",
       "53               379.1                                        4.5   \n",
       "54               375.7                                        4.5   \n",
       "\n",
       "    Legacy rape rate /1  Revised rape rate /2  Robbery rate   \n",
       "0                   9.6                   NaN          60.1  \\\n",
       "1                   9.4                   NaN          58.3   \n",
       "2                   9.4                   NaN          59.7   \n",
       "3                   9.4                   NaN          61.8   \n",
       "4                  11.2                   NaN          68.2   \n",
       "5                  12.1                   NaN          71.7   \n",
       "6                  13.2                   NaN          80.8   \n",
       "7                  14.0                   NaN         102.8   \n",
       "8                  15.9                   NaN         131.8   \n",
       "9                  18.5                   NaN         148.4   \n",
       "10                 18.7                   NaN         172.1   \n",
       "11                 20.5                   NaN         188.0   \n",
       "12                 22.5                   NaN         180.7   \n",
       "13                 24.5                   NaN         183.1   \n",
       "14                 26.2                   NaN         209.3   \n",
       "15                 26.3                   NaN         220.8   \n",
       "16                 26.6                   NaN         199.3   \n",
       "17                 29.4                   NaN         190.7   \n",
       "18                 31.0                   NaN         195.8   \n",
       "19                 34.7                   NaN         218.4   \n",
       "20                 36.8                   NaN         251.1   \n",
       "21                 36.0                   NaN         258.4   \n",
       "22                 34.0                   NaN         238.8   \n",
       "23                 33.8                   NaN         216.7   \n",
       "24                 35.7                   NaN         205.7   \n",
       "25                 36.8                   NaN         209.3   \n",
       "26                 38.1                   NaN         226.0   \n",
       "27                 37.6                   NaN         213.7   \n",
       "28                 37.8                   NaN         222.1   \n",
       "29                 38.3                   NaN         234.3   \n",
       "30                 41.1                   NaN         256.3   \n",
       "31                 42.3                   NaN         272.7   \n",
       "32                 42.8                   NaN         263.7   \n",
       "33                 41.1                   NaN         256.0   \n",
       "34                 39.3                   NaN         237.8   \n",
       "35                 37.1                   NaN         220.9   \n",
       "36                 36.3                   NaN         201.9   \n",
       "37                 35.9                   NaN         186.2   \n",
       "38                 34.5                   NaN         165.5   \n",
       "39                 32.8                   NaN         150.1   \n",
       "40                 32.0                   NaN         145.0   \n",
       "41                 31.8                   NaN         148.5   \n",
       "42                 33.1                   NaN         146.1   \n",
       "43                 32.3                   NaN         142.5   \n",
       "44                 32.4                   NaN         136.7   \n",
       "45                 31.8                   NaN         140.8   \n",
       "46                 31.6                   NaN         150.0   \n",
       "47                 30.6                   NaN         148.3   \n",
       "48                 29.8                   NaN         145.9   \n",
       "49                 29.1                   NaN         133.1   \n",
       "50                 27.7                   NaN         119.3   \n",
       "51                 27.0                   NaN         113.9   \n",
       "52                 27.1                   NaN         113.1   \n",
       "53                 25.9                  35.9         109.0   \n",
       "54                 26.4                  36.6         102.2   \n",
       "\n",
       "    Aggravated assault rate  Property crime rate  Burglary rate   \n",
       "0                      86.1               1726.3          508.6  \\\n",
       "1                      85.7               1747.9          518.9   \n",
       "2                      88.6               1857.5          535.2   \n",
       "3                      92.4               2012.1          576.4   \n",
       "4                     106.2               2197.5          634.7   \n",
       "5                     111.3               2248.8          662.7   \n",
       "6                     120.3               2450.9          721.0   \n",
       "7                     130.2               2736.5          826.6   \n",
       "8                     143.8               3071.8          932.3   \n",
       "9                     154.5               3351.3          984.1   \n",
       "10                    164.8               3621.0         1084.9   \n",
       "11                    178.8               3768.8         1163.5   \n",
       "12                    188.8               3560.4         1140.8   \n",
       "13                    200.5               3737.0         1222.5   \n",
       "14                    215.8               4389.3         1437.7   \n",
       "15                    231.1               4810.7         1532.1   \n",
       "16                    233.2               4819.5         1448.2   \n",
       "17                    247.0               4601.7         1419.8   \n",
       "18                    262.1               4642.5         1434.6   \n",
       "19                    286.0               5016.6         1511.9   \n",
       "20                    298.5               5353.3         1684.1   \n",
       "21                    289.3               5256.5         1647.2   \n",
       "22                    289.0               5029.7         1488.0   \n",
       "23                    279.4               4641.1         1338.7   \n",
       "24                    290.6               4498.5         1265.5   \n",
       "25                    304.0               4666.4         1291.7   \n",
       "26                    347.4               4881.8         1349.8   \n",
       "27                    352.9               4963.0         1335.7   \n",
       "28                    372.2               5054.0         1316.2   \n",
       "29                    385.6               5107.1         1283.6   \n",
       "30                    422.9               5073.1         1232.2   \n",
       "31                    433.4               5140.2         1252.1   \n",
       "32                    441.9               4903.7         1168.4   \n",
       "33                    440.5               4740.0         1099.7   \n",
       "34                    427.6               4660.2         1042.1   \n",
       "35                    418.3               4590.5          987.0   \n",
       "36                    391.0               4451.0          945.0   \n",
       "37                    382.1               4316.3          918.8   \n",
       "38                    361.4               4052.5          863.2   \n",
       "39                    334.3               3743.6          770.4   \n",
       "40                    324.0               3618.3          728.8   \n",
       "41                    318.6               3658.1          741.8   \n",
       "42                    309.5               3630.6          747.0   \n",
       "43                    295.4               3591.2          741.0   \n",
       "44                    288.6               3514.1          730.3   \n",
       "45                    290.8               3431.5          726.9   \n",
       "46                    292.0               3346.6          733.1   \n",
       "47                    287.2               3276.4          726.1   \n",
       "48                    277.5               3214.6          733.0   \n",
       "49                    264.7               3041.3          717.7   \n",
       "50                    252.8               2945.9          701.0   \n",
       "51                    241.5               2905.4          701.3   \n",
       "52                    242.8               2868.0          672.2   \n",
       "53                    229.6               2733.3          610.4   \n",
       "54                    232.5               2596.1          542.5   \n",
       "\n",
       "    Larceny-theft rate  Motor vehicle theft rate  \n",
       "0               1034.7                     183.0  \n",
       "1               1045.4                     183.6  \n",
       "2               1124.8                     197.4  \n",
       "3               1219.1                     216.6  \n",
       "4               1315.5                     247.4  \n",
       "5               1329.3                     256.8  \n",
       "6               1442.9                     286.9  \n",
       "7               1575.8                     334.1  \n",
       "8               1746.6                     393.0  \n",
       "9               1930.9                     436.2  \n",
       "10              2079.3                     456.8  \n",
       "11              2145.5                     459.8  \n",
       "12              1993.6                     426.1  \n",
       "13              2071.9                     442.6  \n",
       "14              2489.5                     462.2  \n",
       "15              2804.8                     473.7  \n",
       "16              2921.3                     450.0  \n",
       "17              2729.9                     451.9  \n",
       "18              2747.4                     460.5  \n",
       "19              2999.1                     505.6  \n",
       "20              3167.0                     502.2  \n",
       "21              3135.3                     474.1  \n",
       "22              3083.1                     458.6  \n",
       "23              2871.3                     431.1  \n",
       "24              2795.2                     437.7  \n",
       "25              2911.2                     463.5  \n",
       "26              3022.1                     509.8  \n",
       "27              3095.4                     531.9  \n",
       "28              3151.7                     586.1  \n",
       "29              3189.6                     634.0  \n",
       "30              3185.1                     655.8  \n",
       "31              3229.1                     659.0  \n",
       "32              3103.6                     631.6  \n",
       "33              3033.9                     606.3  \n",
       "34              3026.9                     591.3  \n",
       "35              3043.2                     560.3  \n",
       "36              2980.3                     525.7  \n",
       "37              2891.8                     505.7  \n",
       "38              2729.5                     459.9  \n",
       "39              2550.7                     422.5  \n",
       "40              2477.3                     412.2  \n",
       "41              2485.7                     430.5  \n",
       "42              2450.7                     432.9  \n",
       "43              2416.5                     433.7  \n",
       "44              2362.3                     421.5  \n",
       "45              2287.8                     416.8  \n",
       "46              2213.2                     400.2  \n",
       "47              2185.4                     364.9  \n",
       "48              2166.1                     315.4  \n",
       "49              2064.5                     259.2  \n",
       "50              2005.8                     239.1  \n",
       "51              1974.1                     230.0  \n",
       "52              1965.4                     230.4  \n",
       "53              1901.6                     221.3  \n",
       "54              1837.3                     216.2  \n",
       "\n",
       "[55 rows x 22 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.read_csv(path, storage_options={'protocol': 'file'}, **kw)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e4da37b",
   "metadata": {},
   "source": [
    "Magic-make this into a \"data\" entity and tied \"reader\". Alternate spelling of this is\n",
    "```\n",
    "intake.readers.readers.reader_from_call(pd.read_csv, path, storage_options={'protocol': 'file'}, **kw)\n",
    "```"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "79c56c68",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'reader': <intake.readers.readers.PandasCSV at 0x164bb5120>,\n",
       " 'kwargs': {'usecols': None},\n",
       " 'data': CSV(metadata={}, url='file:///Users/mdurant/code/intake-examples/us_crime/data/crime.csv', storage_options={'protocol': 'file'})}"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intake.readers.readers.reader_from_call(_i3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "88005d35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Population</th>\n",
       "      <th>Violent crime total</th>\n",
       "      <th>Murder and nonnegligent Manslaughter</th>\n",
       "      <th>Legacy rape /1</th>\n",
       "      <th>Revised rape /2</th>\n",
       "      <th>Robbery</th>\n",
       "      <th>Aggravated assault</th>\n",
       "      <th>Property crime total</th>\n",
       "      <th>Burglary</th>\n",
       "      <th>...</th>\n",
       "      <th>Violent Crime rate</th>\n",
       "      <th>Murder and nonnegligent manslaughter rate</th>\n",
       "      <th>Legacy rape rate /1</th>\n",
       "      <th>Revised rape rate /2</th>\n",
       "      <th>Robbery rate</th>\n",
       "      <th>Aggravated assault rate</th>\n",
       "      <th>Property crime rate</th>\n",
       "      <th>Burglary rate</th>\n",
       "      <th>Larceny-theft rate</th>\n",
       "      <th>Motor vehicle theft rate</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1960</td>\n",
       "      <td>179323175</td>\n",
       "      <td>288460</td>\n",
       "      <td>9110</td>\n",
       "      <td>17190</td>\n",
       "      <td>NaN</td>\n",
       "      <td>107840</td>\n",
       "      <td>154320</td>\n",
       "      <td>3095700</td>\n",
       "      <td>912100</td>\n",
       "      <td>...</td>\n",
       "      <td>160.9</td>\n",
       "      <td>5.1</td>\n",
       "      <td>9.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>60.1</td>\n",
       "      <td>86.1</td>\n",
       "      <td>1726.3</td>\n",
       "      <td>508.6</td>\n",
       "      <td>1034.7</td>\n",
       "      <td>183.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1961</td>\n",
       "      <td>182992000</td>\n",
       "      <td>289390</td>\n",
       "      <td>8740</td>\n",
       "      <td>17220</td>\n",
       "      <td>NaN</td>\n",
       "      <td>106670</td>\n",
       "      <td>156760</td>\n",
       "      <td>3198600</td>\n",
       "      <td>949600</td>\n",
       "      <td>...</td>\n",
       "      <td>158.1</td>\n",
       "      <td>4.8</td>\n",
       "      <td>9.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>58.3</td>\n",
       "      <td>85.7</td>\n",
       "      <td>1747.9</td>\n",
       "      <td>518.9</td>\n",
       "      <td>1045.4</td>\n",
       "      <td>183.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1962</td>\n",
       "      <td>185771000</td>\n",
       "      <td>301510</td>\n",
       "      <td>8530</td>\n",
       "      <td>17550</td>\n",
       "      <td>NaN</td>\n",
       "      <td>110860</td>\n",
       "      <td>164570</td>\n",
       "      <td>3450700</td>\n",
       "      <td>994300</td>\n",
       "      <td>...</td>\n",
       "      <td>162.3</td>\n",
       "      <td>4.6</td>\n",
       "      <td>9.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>59.7</td>\n",
       "      <td>88.6</td>\n",
       "      <td>1857.5</td>\n",
       "      <td>535.2</td>\n",
       "      <td>1124.8</td>\n",
       "      <td>197.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1963</td>\n",
       "      <td>188483000</td>\n",
       "      <td>316970</td>\n",
       "      <td>8640</td>\n",
       "      <td>17650</td>\n",
       "      <td>NaN</td>\n",
       "      <td>116470</td>\n",
       "      <td>174210</td>\n",
       "      <td>3792500</td>\n",
       "      <td>1086400</td>\n",
       "      <td>...</td>\n",
       "      <td>168.2</td>\n",
       "      <td>4.6</td>\n",
       "      <td>9.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.8</td>\n",
       "      <td>92.4</td>\n",
       "      <td>2012.1</td>\n",
       "      <td>576.4</td>\n",
       "      <td>1219.1</td>\n",
       "      <td>216.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1964</td>\n",
       "      <td>191141000</td>\n",
       "      <td>364220</td>\n",
       "      <td>9360</td>\n",
       "      <td>21420</td>\n",
       "      <td>NaN</td>\n",
       "      <td>130390</td>\n",
       "      <td>203050</td>\n",
       "      <td>4200400</td>\n",
       "      <td>1213200</td>\n",
       "      <td>...</td>\n",
       "      <td>190.6</td>\n",
       "      <td>4.9</td>\n",
       "      <td>11.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>68.2</td>\n",
       "      <td>106.2</td>\n",
       "      <td>2197.5</td>\n",
       "      <td>634.7</td>\n",
       "      <td>1315.5</td>\n",
       "      <td>247.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1965</td>\n",
       "      <td>193526000</td>\n",
       "      <td>387390</td>\n",
       "      <td>9960</td>\n",
       "      <td>23410</td>\n",
       "      <td>NaN</td>\n",
       "      <td>138690</td>\n",
       "      <td>215330</td>\n",
       "      <td>4352000</td>\n",
       "      <td>1282500</td>\n",
       "      <td>...</td>\n",
       "      <td>200.2</td>\n",
       "      <td>5.1</td>\n",
       "      <td>12.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>71.7</td>\n",
       "      <td>111.3</td>\n",
       "      <td>2248.8</td>\n",
       "      <td>662.7</td>\n",
       "      <td>1329.3</td>\n",
       "      <td>256.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1966</td>\n",
       "      <td>195576000</td>\n",
       "      <td>430180</td>\n",
       "      <td>11040</td>\n",
       "      <td>25820</td>\n",
       "      <td>NaN</td>\n",
       "      <td>157990</td>\n",
       "      <td>235330</td>\n",
       "      <td>4793300</td>\n",
       "      <td>1410100</td>\n",
       "      <td>...</td>\n",
       "      <td>220.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>13.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.8</td>\n",
       "      <td>120.3</td>\n",
       "      <td>2450.9</td>\n",
       "      <td>721.0</td>\n",
       "      <td>1442.9</td>\n",
       "      <td>286.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1967</td>\n",
       "      <td>197457000</td>\n",
       "      <td>499930</td>\n",
       "      <td>12240</td>\n",
       "      <td>27620</td>\n",
       "      <td>NaN</td>\n",
       "      <td>202910</td>\n",
       "      <td>257160</td>\n",
       "      <td>5403500</td>\n",
       "      <td>1632100</td>\n",
       "      <td>...</td>\n",
       "      <td>253.2</td>\n",
       "      <td>6.2</td>\n",
       "      <td>14.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>102.8</td>\n",
       "      <td>130.2</td>\n",
       "      <td>2736.5</td>\n",
       "      <td>826.6</td>\n",
       "      <td>1575.8</td>\n",
       "      <td>334.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1968</td>\n",
       "      <td>199399000</td>\n",
       "      <td>595010</td>\n",
       "      <td>13800</td>\n",
       "      <td>31670</td>\n",
       "      <td>NaN</td>\n",
       "      <td>262840</td>\n",
       "      <td>286700</td>\n",
       "      <td>6125200</td>\n",
       "      <td>1858900</td>\n",
       "      <td>...</td>\n",
       "      <td>298.4</td>\n",
       "      <td>6.9</td>\n",
       "      <td>15.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>131.8</td>\n",
       "      <td>143.8</td>\n",
       "      <td>3071.8</td>\n",
       "      <td>932.3</td>\n",
       "      <td>1746.6</td>\n",
       "      <td>393.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1969</td>\n",
       "      <td>201385000</td>\n",
       "      <td>661870</td>\n",
       "      <td>14760</td>\n",
       "      <td>37170</td>\n",
       "      <td>NaN</td>\n",
       "      <td>298850</td>\n",
       "      <td>311090</td>\n",
       "      <td>6749000</td>\n",
       "      <td>1981900</td>\n",
       "      <td>...</td>\n",
       "      <td>328.7</td>\n",
       "      <td>7.3</td>\n",
       "      <td>18.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>148.4</td>\n",
       "      <td>154.5</td>\n",
       "      <td>3351.3</td>\n",
       "      <td>984.1</td>\n",
       "      <td>1930.9</td>\n",
       "      <td>436.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year  Population  Violent crime total   \n",
       "0  1960   179323175               288460  \\\n",
       "1  1961   182992000               289390   \n",
       "2  1962   185771000               301510   \n",
       "3  1963   188483000               316970   \n",
       "4  1964   191141000               364220   \n",
       "5  1965   193526000               387390   \n",
       "6  1966   195576000               430180   \n",
       "7  1967   197457000               499930   \n",
       "8  1968   199399000               595010   \n",
       "9  1969   201385000               661870   \n",
       "\n",
       "   Murder and nonnegligent Manslaughter  Legacy rape /1  Revised rape /2   \n",
       "0                                  9110           17190              NaN  \\\n",
       "1                                  8740           17220              NaN   \n",
       "2                                  8530           17550              NaN   \n",
       "3                                  8640           17650              NaN   \n",
       "4                                  9360           21420              NaN   \n",
       "5                                  9960           23410              NaN   \n",
       "6                                 11040           25820              NaN   \n",
       "7                                 12240           27620              NaN   \n",
       "8                                 13800           31670              NaN   \n",
       "9                                 14760           37170              NaN   \n",
       "\n",
       "   Robbery  Aggravated assault  Property crime total  Burglary  ...   \n",
       "0   107840              154320               3095700    912100  ...  \\\n",
       "1   106670              156760               3198600    949600  ...   \n",
       "2   110860              164570               3450700    994300  ...   \n",
       "3   116470              174210               3792500   1086400  ...   \n",
       "4   130390              203050               4200400   1213200  ...   \n",
       "5   138690              215330               4352000   1282500  ...   \n",
       "6   157990              235330               4793300   1410100  ...   \n",
       "7   202910              257160               5403500   1632100  ...   \n",
       "8   262840              286700               6125200   1858900  ...   \n",
       "9   298850              311090               6749000   1981900  ...   \n",
       "\n",
       "   Violent Crime rate  Murder and nonnegligent manslaughter rate   \n",
       "0               160.9                                        5.1  \\\n",
       "1               158.1                                        4.8   \n",
       "2               162.3                                        4.6   \n",
       "3               168.2                                        4.6   \n",
       "4               190.6                                        4.9   \n",
       "5               200.2                                        5.1   \n",
       "6               220.0                                        5.6   \n",
       "7               253.2                                        6.2   \n",
       "8               298.4                                        6.9   \n",
       "9               328.7                                        7.3   \n",
       "\n",
       "   Legacy rape rate /1  Revised rape rate /2  Robbery rate   \n",
       "0                  9.6                   NaN          60.1  \\\n",
       "1                  9.4                   NaN          58.3   \n",
       "2                  9.4                   NaN          59.7   \n",
       "3                  9.4                   NaN          61.8   \n",
       "4                 11.2                   NaN          68.2   \n",
       "5                 12.1                   NaN          71.7   \n",
       "6                 13.2                   NaN          80.8   \n",
       "7                 14.0                   NaN         102.8   \n",
       "8                 15.9                   NaN         131.8   \n",
       "9                 18.5                   NaN         148.4   \n",
       "\n",
       "   Aggravated assault rate  Property crime rate  Burglary rate   \n",
       "0                     86.1               1726.3          508.6  \\\n",
       "1                     85.7               1747.9          518.9   \n",
       "2                     88.6               1857.5          535.2   \n",
       "3                     92.4               2012.1          576.4   \n",
       "4                    106.2               2197.5          634.7   \n",
       "5                    111.3               2248.8          662.7   \n",
       "6                    120.3               2450.9          721.0   \n",
       "7                    130.2               2736.5          826.6   \n",
       "8                    143.8               3071.8          932.3   \n",
       "9                    154.5               3351.3          984.1   \n",
       "\n",
       "   Larceny-theft rate  Motor vehicle theft rate  \n",
       "0              1034.7                     183.0  \n",
       "1              1045.4                     183.6  \n",
       "2              1124.8                     197.4  \n",
       "3              1219.1                     216.6  \n",
       "4              1315.5                     247.4  \n",
       "5              1329.3                     256.8  \n",
       "6              1442.9                     286.9  \n",
       "7              1575.8                     334.1  \n",
       "8              1746.6                     393.0  \n",
       "9              1930.9                     436.2  \n",
       "\n",
       "[10 rows x 22 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reader = _[\"reader\"]\n",
    "reader.discover()  # read a limited subset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "df9c4035",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Transformers for pandas:DataFrame:\n",
       "{'hvplot:hvPlotTabular': <function daskdf_to_hvplot at 0x1265a2d40>,\n",
       " 'intake.readers.datatypes:FileData': <function pandas_to_parquet at 0x1265a36d0>,\n",
       " 'pandas:DataFrame': <function df_select_columns at 0x1265a35b0>}"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reader.transform  # things I know how to do to this kind of output"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "ea75eea0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Population</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>179323175</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>182992000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>185771000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>188483000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>191141000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>193526000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>195576000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>197457000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>199399000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>201385000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>203235298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>206212000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>208230000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>209851000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>211392000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>213124000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>214659000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>216332000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>218059000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>220099000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>225349264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>229465714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>231664458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>233791994</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>235824902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>237923795</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>240132887</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>242288918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>244498982</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>246819230</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>249464396</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>252153092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>255029699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>257782608</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>260327021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>262803276</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>265228572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>267783607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>270248003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>272690813</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>281421906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>285317559</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>287973924</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>290788976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>293656842</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>296507061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>299398484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>301621157</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>304059724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>307006550</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>309330219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>311587816</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>313873685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>316497531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>318857056</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Population\n",
       "0    179323175\n",
       "1    182992000\n",
       "2    185771000\n",
       "3    188483000\n",
       "4    191141000\n",
       "5    193526000\n",
       "6    195576000\n",
       "7    197457000\n",
       "8    199399000\n",
       "9    201385000\n",
       "10   203235298\n",
       "11   206212000\n",
       "12   208230000\n",
       "13   209851000\n",
       "14   211392000\n",
       "15   213124000\n",
       "16   214659000\n",
       "17   216332000\n",
       "18   218059000\n",
       "19   220099000\n",
       "20   225349264\n",
       "21   229465714\n",
       "22   231664458\n",
       "23   233791994\n",
       "24   235824902\n",
       "25   237923795\n",
       "26   240132887\n",
       "27   242288918\n",
       "28   244498982\n",
       "29   246819230\n",
       "30   249464396\n",
       "31   252153092\n",
       "32   255029699\n",
       "33   257782608\n",
       "34   260327021\n",
       "35   262803276\n",
       "36   265228572\n",
       "37   267783607\n",
       "38   270248003\n",
       "39   272690813\n",
       "40   281421906\n",
       "41   285317559\n",
       "42   287973924\n",
       "43   290788976\n",
       "44   293656842\n",
       "45   296507061\n",
       "46   299398484\n",
       "47   301621157\n",
       "48   304059724\n",
       "49   307006550\n",
       "50   309330219\n",
       "51   311587816\n",
       "52   313873685\n",
       "53   316497531\n",
       "54   318857056"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# the simplest transform, a new view on the data, which needs an argument\n",
    "reader.transform.df_select_columns(columns=[\"Population\"]).discover()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eed98d20",
   "metadata": {},
   "source": [
    "What other readers can handle this data type?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "4c2681e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'importable': {intake.readers.readers.DaskCSV,\n",
       "  intake.readers.readers.DuckCSV,\n",
       "  intake.readers.readers.PandasCSV,\n",
       "  intake.readers.readers.RayCSV},\n",
       " 'not_importable': {intake.readers.readers.SparkCSV}}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "intake.readers.readers.recommend(reader.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "f84f93a9",
   "metadata": {},
   "outputs": [],
   "source": [
    "# let's read it with Ray\n",
    "reader2 = reader(reader=intake.readers.readers.RayCSV)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a8fc0c58",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Transformers for ray.data:Dataset:\n",
       "{'dask.dataframe:DataFrame': <function ray_to_daskdf at 0x1265a2dd0>,\n",
       " 'pandas:DataFrame': <function ray_to_pandas at 0x1265a2cb0>}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# and what can I do with that kind of output?\n",
    "reader2.transform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "38cb88b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-06-08 11:36:47,535\tINFO worker.py:1616 -- Started a local Ray instance. View the dashboard at \u001b[1m\u001b[32m127.0.0.1:8265 \u001b[39m\u001b[22m\n",
      "2023-06-08 11:36:49,034\tWARNING read_api.py:358 -- ⚠️  The number of blocks in this dataset (1) limits its parallelism to 1 concurrent tasks. This is much less than the number of available CPU slots in the cluster. Use `.repartition(n)` to increase the number of dataset blocks.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Read progress 0:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Read progress 0:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {},
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {},
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    },
    {
     "data": {
      "application/vnd.holoviews_exec.v0+json": "",
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       "  var render_items = [{\"docid\":\"25c9cea3-879a-4c78-8f39-842fd3a667e5\",\"roots\":{\"cd8efe70-1c6e-44be-a1da-3354d2afa036\":\"c89d3448-e81a-4999-bef9-1bedb59f9a92\"},\"root_ids\":[\"cd8efe70-1c6e-44be-a1da-3354d2afa036\"]}];\n",
       "  var docs = Object.values(docs_json)\n",
       "  if (!docs) {\n",
       "    return\n",
       "  }\n",
       "  const py_version = docs[0].version.replace('rc', '-rc.')\n",
       "  const is_dev = py_version.indexOf(\"+\") !== -1 || py_version.indexOf(\"-\") !== -1\n",
       "  function embed_document(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
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       "\t  const root_el = id_el.children[0]\n",
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       "    if (root.Bokeh === undefined) {\n",
       "      return null\n",
       "    } else if (root.Bokeh.version !== py_version && !is_dev) {\n",
       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
       "\treturn null\n",
       "      }\n",
       "      return root.Bokeh.versions.get(py_version);\n",
       "    } else if (root.Bokeh.version === py_version) {\n",
       "      return root.Bokeh\n",
       "    }\n",
       "    return null\n",
       "  }\n",
       "  function is_loaded(root) {\n",
       "    var Bokeh = get_bokeh(root)\n",
       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
       "  }\n",
       "  if (is_loaded(root)) {\n",
       "    embed_document(root);\n",
       "  } else {\n",
       "    var attempts = 0;\n",
       "    var timer = setInterval(function(root) {\n",
       "      if (is_loaded(root)) {\n",
       "        clearInterval(timer);\n",
       "        embed_document(root);\n",
       "      } else if (document.readyState == \"complete\") {\n",
       "        attempts++;\n",
       "        if (attempts > 200) {\n",
       "          clearInterval(timer);\n",
       "\t  var Bokeh = get_bokeh(root)\n",
       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
       "\t  } else {\n",
       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
       "\t    embed_document(root)\n",
       "\t  }\n",
       "        }\n",
       "      }\n",
       "    }, 25, root)\n",
       "  }\n",
       "})(window);</script>"
      ],
      "text/plain": [
       "hvDataFrameExplorer(axes=Axes(explorer=..., height=None, legend='right', logx=False, logy=False, name='Axes01013', responsive=False, shared_axes=True, width=None, xlim=None, ylim=None), by=[], colormapping=Colormapping(clim=None, cmap='kbc_r', cnorm='linear', color=None, colorbar=None, explorer=..., name='Colormapping01077', rescale_discrete_levels=True, symmetric=False), groupby=[], kind='line', labels=Labels(clabel='', explorer=..., fontscale=1, name='Labels01124', rot=0, title='', xlabel='', ylabel=''), name='hvDataFrameExplorer00980', operations=Operations(aggregator=None, datashade=False, dynspread=False, explorer=..., name='Operations01168', rasterize=False, x_sampling=None, y_sampling=None), style=Style(alpha=1, explorer=..., name='Style01212'), x='index', y='Year', y_multi=[], z=None)"
      ]
     },
     "execution_count": 11,
     "metadata": {
      "application/vnd.holoviews_exec.v0+json": {
       "id": "cd8efe70-1c6e-44be-a1da-3354d2afa036"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# \"transform\" the CSV to ray to pandas to hvplot, with explorer\n",
    "reader2.transform[\"pandas:DataFrame\"].transform[\"hvplot:hvPlotTabular\"].read(explorer=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "da7b8675",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-06-08 11:36:49,774\tWARNING read_api.py:358 -- ⚠️  The number of blocks in this dataset (1) limits its parallelism to 1 concurrent tasks. This is much less than the number of available CPU slots in the cluster. Use `.repartition(n)` to increase the number of dataset blocks.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Read progress 0:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div><strong>Dask DataFrame Structure:</strong></div>\n",
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Year</th>\n",
       "      <th>Population</th>\n",
       "      <th>Violent crime total</th>\n",
       "      <th>Murder and nonnegligent Manslaughter</th>\n",
       "      <th>Legacy rape /1</th>\n",
       "      <th>Revised rape /2</th>\n",
       "      <th>Robbery</th>\n",
       "      <th>Aggravated assault</th>\n",
       "      <th>Property crime total</th>\n",
       "      <th>Burglary</th>\n",
       "      <th>Larceny-theft</th>\n",
       "      <th>Motor vehicle theft</th>\n",
       "      <th>Violent Crime rate</th>\n",
       "      <th>Murder and nonnegligent manslaughter rate</th>\n",
       "      <th>Legacy rape rate /1</th>\n",
       "      <th>Revised rape rate /2</th>\n",
       "      <th>Robbery rate</th>\n",
       "      <th>Aggravated assault rate</th>\n",
       "      <th>Property crime rate</th>\n",
       "      <th>Burglary rate</th>\n",
       "      <th>Larceny-theft rate</th>\n",
       "      <th>Motor vehicle theft rate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>npartitions=1</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>int64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "      <td>float64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th></th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "<div>Dask Name: from-delayed, 2 graph layers</div>"
      ],
      "text/plain": [
       "Dask DataFrame Structure:\n",
       "                Year Population Violent crime total Murder and nonnegligent Manslaughter Legacy rape /1 Revised rape /2 Robbery Aggravated assault Property crime total Burglary Larceny-theft Motor vehicle theft Violent Crime rate Murder and nonnegligent manslaughter rate Legacy rape rate /1 Revised rape rate /2 Robbery rate Aggravated assault rate Property crime rate Burglary rate Larceny-theft rate Motor vehicle theft rate\n",
       "npartitions=1                                                                                                                                                                                                                                                                                                                                                                                                                              \n",
       "               int64      int64               int64                                int64          int64           int64   int64              int64                int64    int64         int64               int64            float64                                   float64             float64              float64      float64                 float64             float64       float64            float64                  float64\n",
       "                 ...        ...                 ...                                  ...            ...             ...     ...                ...                  ...      ...           ...                 ...                ...                                       ...                 ...                  ...          ...                     ...                 ...           ...                ...                      ...\n",
       "Dask Name: from-delayed, 2 graph layers"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# let's use the Ray reader to make a dask dataframe, since I can\n",
    "reader2.transform[\"dask.dataframe:DataFrame\"].read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "807f55cd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Transformers for dask.dataframe:DataFrame:\n",
       "{'dask.dataframe:DataFrame': <function df_select_columns at 0x1265a35b0>,\n",
       " 'hvplot:hvPlotTabular': <function daskdf_to_hvplot at 0x1265a2d40>,\n",
       " 'intake.readers.datatypes:FileData': <function pandas_to_parquet at 0x1265a36d0>,\n",
       " 'pandas:DataFrame': <function daskdf_to_pandas at 0x1265a2c20>}"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# and what can I do with one of those?\n",
    "reader2.transform[\"dask.dataframe:DataFrame\"].transform"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6baeacd0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2023-06-08 11:36:50,368\tWARNING read_api.py:358 -- ⚠️  The number of blocks in this dataset (1) limits its parallelism to 1 concurrent tasks. This is much less than the number of available CPU slots in the cluster. Use `.repartition(n)` to increase the number of dataset blocks.\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Read progress 0:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "Parquet(metadata={}, url='out.parq', storage_options=None)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# dask's parquet writer, returns a new datatype instance\n",
    "reader2.transform[\"dask.dataframe:DataFrame\"].transform.pandas_to_parquet(url=\"out.parq\").read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7a5183f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'importable': {intake.readers.readers.AwkwardJSON,\n",
       "  intake.readers.readers.AwkwardParquet,\n",
       "  intake.readers.readers.DaskAwkwardParquet,\n",
       "  intake.readers.readers.DaskParquet,\n",
       "  intake.readers.readers.DuckParquet,\n",
       "  intake.readers.readers.PandasParquet,\n",
       "  intake.readers.readers.RayParquet},\n",
       " 'not_importable': {intake.readers.readers.SparkParquet}}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# which I could then read with these other things\n",
    "intake.readers.readers.recommend(_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb6f8db7",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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