plot_skypeak.ipynb

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    "from bokeh.plotting import figure\n",
    "from bokeh.layouts import row, column, widgetbox, gridplot\n",
    "\n",
    "from bokeh.io import curdoc\n",
    "from bokeh.io import output_notebook, show, output_file\n",
    "\n",
    "from bokeh.models import ColumnDataSource, HoverTool, TapTool, Range1d, OpenURL\n",
    "from bokeh.models import LinearColorMapper , ColorBar\n",
    "from bokeh.models.widgets import Select, Slider\n",
    "\n",
    "\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
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    {
     "name": "stdout",
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     "text": [
      "countpix loaded\n",
      "/home/foliveira/quicklook/spectro/redux/exposures/20190101/00000003/ql-countpix-z7-00000003.yaml\n",
      "getbias loaded\n",
      "/home/foliveira/quicklook/spectro/redux/exposures/20190101/00000003/ql-getbias-z7-00000003.yaml\n",
      "getrms loaded\n",
      "/home/foliveira/quicklook/spectro/redux/exposures/20190101/00000003/ql-getrms-z7-00000003.yaml\n",
      "xwsigma loaded\n",
      "/home/foliveira/quicklook/spectro/redux/exposures/20190101/00000003/ql-xwsigma-z7-00000003.yaml\n",
      "countbins loaded\n",
      "/home/foliveira/quicklook/spectro/redux/exposures/20190101/00000003/ql-countbins-z7-00000003.yaml\n",
      "integ loaded\n",
      "/home/foliveira/quicklook/spectro/redux/exposures/20190101/00000003/ql-integ-z7-00000003.yaml\n",
      "skycont loaded\n",
      "/home/foliveira/quicklook/spectro/redux/exposures/20190101/00000003/ql-skycont-z7-00000003.yaml\n",
      "skypeak loaded\n",
      "/home/foliveira/quicklook/spectro/redux/exposures/20190101/00000003/ql-skypeak-z7-00000003.yaml\n",
      "skyresid loaded\n",
      "/home/foliveira/quicklook/spectro/redux/exposures/20190101/00000003/ql-skyresid-z7-00000003.yaml\n",
      "snr loaded\n",
      "/home/foliveira/quicklook/spectro/redux/exposures/20190101/00000003/ql-snr-z7-00000003.yaml\n"
     ]
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   "source": [
    "# =============================================\n",
    "# THIS comes from INTERFACE\n",
    "#\n",
    "selected_exposure = '00000003'# args['exposure']\n",
    "selected_arm = 'z' # args['arm']\n",
    "selected_spectrograph =  7 # args['spectrograph']\n",
    "\n",
    "# =============================================\n",
    "# THIS comes from QLF.CFG\n",
    "#\n",
    "night = '20190101'\n",
    "\n",
    "# ============================================\n",
    "#  THIS READ yaml files\n",
    "#\n",
    "from scalar_metrics_v02 import LoadMetrics\n",
    "\n",
    "cam = selected_arm+str(selected_spectrograph)\n",
    "exp = selected_exposure # intentionaly redundant\n",
    "lm = LoadMetrics(cam, exp, night);\n",
    "metrics, tests  = lm.metrics, lm.tests \n",
    "\n",
    "# =============================================\n",
    "# THIS is only to simplify the code understanding\n",
    "#\n",
    "countpix  = metrics['countpix']\n",
    "getbias   = metrics['getbias']\n",
    "getrms    = metrics['getrms']\n",
    "xwsigma   = metrics['xwsigma']\n",
    "countbins = metrics['countbins']\n",
    "integ     = metrics['integ']\n",
    "skycont   = metrics['skycont']\n",
    "skypeak   = metrics['skypeak']\n",
    "skyresid  = metrics['skyresid']\n",
    "snr       = metrics['snr']"
   ]
  },
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   "execution_count": 8,
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    "def palette(name_of_mpl_palette):\n",
    "    \"\"\" Transforms a matplotlib palettes into a bokeh \n",
    "    palettes\n",
    "    \"\"\"\n",
    "    from matplotlib.colors import rgb2hex\n",
    "    import matplotlib.cm as cm\n",
    "    colormap =cm.get_cmap(name_of_mpl_palette) #choose any matplotlib colormap here\n",
    "    bokehpalette = [rgb2hex(m) for m in colormap(np.arange(colormap.N))]\n",
    "    return bokehpalette\n",
    "\n",
    "#nipy_spectral)#Viridis256)#,RdYlBu11)#Viridis256)#, low=0, high=100)\n",
    "my_palette = palette(\"viridis\")\n"
   ]
  },
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       "            var render_items = [{\"docid\":\"571f6b41-3050-4f99-a1d5-38363f8ec6b5\",\"elementid\":\"349402a9-c09c-4540-a42a-7f791656da16\",\"modelid\":\"ff4f810e-b293-45f0-9f37-a47b2e160735\"}];\n",
       "            \n",
       "            Bokeh.embed.embed_items(docs_json, render_items);\n",
       "          };\n",
       "          if (document.readyState != \"loading\") fn();\n",
       "          else document.addEventListener(\"DOMContentLoaded\", fn);\n",
       "        })();\n",
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       "      },\n",
       "      function(Bokeh) {\n",
       "      }\n",
       "    ];\n",
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       "      \n",
       "      if ((window.Bokeh !== undefined) || (force === true)) {\n",
       "        for (var i = 0; i < inline_js.length; i++) {\n",
       "          inline_js[i](window.Bokeh);\n",
       "        }if (force === true) {\n",
       "          display_loaded();\n",
       "        }} else if (Date.now() < window._bokeh_timeout) {\n",
       "        setTimeout(run_inline_js, 100);\n",
       "      } else if (!window._bokeh_failed_load) {\n",
       "        console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n",
       "        window._bokeh_failed_load = true;\n",
       "      } else if (force !== true) {\n",
       "        var cell = $(document.getElementById(\"349402a9-c09c-4540-a42a-7f791656da16\")).parents('.cell').data().cell;\n",
       "        cell.output_area.append_execute_result(NB_LOAD_WARNING)\n",
       "      }\n",
       "\n",
       "    }\n",
       "\n",
       "    if (window._bokeh_is_loading === 0) {\n",
       "      console.log(\"Bokeh: BokehJS loaded, going straight to plotting\");\n",
       "      run_inline_js();\n",
       "    } else {\n",
       "      load_libs(js_urls, function() {\n",
       "        console.log(\"Bokeh: BokehJS plotting callback run at\", now());\n",
       "        run_inline_js();\n",
       "      });\n",
       "    }\n",
       "  }(this));\n",
       "</script>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "peak_tooltip = \"\"\"\n",
    "    <div>\n",
    "        <div>\n",
    "            <span style=\"font-size: 12px; font-weight: bold; color: #303030;\">PEAKCOUNT: </span>\n",
    "            <span style=\"font-size: 13px; color: #515151\">@peakcount</span>\n",
    "        </div>\n",
    "        <div>\n",
    "            <span style=\"font-size: 12px; font-weight: bold; color: #303030;\">RA: </span>\n",
    "            <span style=\"font-size: 13px; color: #515151;\">@x1</span>\n",
    "        </div>\n",
    "        <div>\n",
    "            <span style=\"font-size: 12px; font-weight: bold; color: #303030;\">DEC: </span>\n",
    "            <span style=\"font-size: 13px; color: #515151;\">@y1</span>\n",
    "        </div>\n",
    "    </div>\n",
    "\"\"\"\n",
    "\n",
    "c1,c2 = int(selected_spectrograph)*500, (int(selected_spectrograph)+1)*500\n",
    "qlf_fiberid = np.arange(0,5000)[c1:c2] \n",
    "\n",
    "\n",
    "peak_hover = HoverTool(tooltips=peak_tooltip)\n",
    "\n",
    "peakcount = skypeak['PEAKCOUNT']\n",
    "\n",
    "source = ColumnDataSource(data={\n",
    "    'x1'     : skypeak['RA'][c1:c2],\n",
    "    'y1'     : skypeak['DEC'][c1:c2],\n",
    "    'peakcount' : peakcount,\n",
    "    'QLF_FIBERID': qlf_fiberid,\n",
    "})\n",
    "\n",
    "\n",
    "## axes limit\n",
    "##  left, right = min(skypeak['RA'][c1:c2]), max(skypeak['RA'][c1:c2])\n",
    "##  bottom, top = min(skypeak['RA'][c1:c2]), max(skypeak['RA'][c1:c2])#13, 16.7\n",
    "\n",
    "mapper = LinearColorMapper(palette= my_palette,\n",
    "                           low=0.98*np.min(peakcount), \n",
    "                           high=1.02*np.max(peakcount))\n",
    "\n",
    "\n",
    "# ======\n",
    "# XSIGMA\n",
    "px = figure( title = 'SKYPEAK', x_axis_label='RA', y_axis_label='DEC'\n",
    "           , plot_width=700, plot_height=600\n",
    "           ## , x_range=Range1d(left, right), y_range=Range1d(bottom, top)\n",
    "           , tools= [peak_hover, \"pan,box_zoom,reset,crosshair\"])\n",
    "\n",
    "# Color Map\n",
    "px.circle('x1','y1', source = source, name=\"data\", radius = 0.018,\n",
    "        fill_color={'field': 'peakcount', 'transform': mapper}, \n",
    "         line_color='black', line_width=0.1,\n",
    "         hover_line_color='red')\n",
    "\n",
    "# marking the Hover point\n",
    "px.circle('x1','y1', source = source, name=\"data\", radius = 0.0186\n",
    "          , hover_fill_color={'field': 'peakcount', 'transform': mapper}\n",
    "          , fill_color=None, line_color=None\n",
    "          , line_width=3, hover_line_color='red')\n",
    "\n",
    "## px.circle('x1','y1', source = source_comp, radius = 0.015,\n",
    "##         fill_color = 'lightgray', line_color='black', line_width=0.3)\n",
    "\n",
    "# bokeh.pydata.org/en/latest/docs/reference/models/annotations.html\n",
    "xcolor_bar = ColorBar(color_mapper= mapper, label_standoff=-13,\n",
    "                     major_label_text_font_style=\"bold\", padding = 26,\n",
    "                     major_label_text_align='right',\n",
    "                     major_label_text_font_size=\"10pt\",\n",
    "                     location=(0, 0))\n",
    "\n",
    "px.add_layout(xcolor_bar, 'left')\n",
    "\n",
    "output_notebook()\n",
    "show(px)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "INFO:bokeh.core.state:Session output file 'out_xwsigma.html' already exists, will be overwritten.\n"
     ]
    }
   ],
   "source": [
    "xsigma_tooltip = \"\"\"\n",
    "    <div>\n",
    "        <div>\n",
    "            <span style=\"font-size: 12px; font-weight: bold; color: #303030;\">XSigma: </span>\n",
    "            <span style=\"font-size: 13px; color: #515151\">@xsigma</span>\n",
    "        </div>\n",
    "        <div>\n",
    "            <span style=\"font-size: 12px; font-weight: bold; color: #303030;\">Object: </span>\n",
    "            <span style=\"font-size: 13px; color: #515151;\">@OBJ_NAME</span>\n",
    "        </div>\n",
    "\n",
    "        <div>\n",
    "            <span style=\"font-size: 12px; font-weight: bold; color: #303030;\">RA: </span>\n",
    "            <span style=\"font-size: 13px; color: #515151;\">@x1</span>\n",
    "        </div>\n",
    "        <div>\n",
    "            <span style=\"font-size: 12px; font-weight: bold; color: #303030;\">DEC: </span>\n",
    "            <span style=\"font-size: 13px; color: #515151;\">@y1</span>\n",
    "        </div>\n",
    "    </div>\n",
    "\"\"\"\n",
    "\n",
    "wsigma_tooltip = \"\"\"\n",
    "    <div>\n",
    "        <div>\n",
    "            <span style=\"font-size: 12px; font-weight: bold; color: #303030;\">WSigma: </span>\n",
    "            <span style=\"font-size: 13px; color: #515151\">@wsigma</span>\n",
    "        </div>\n",
    "        <div>\n",
    "            <span style=\"font-size: 12px; font-weight: bold; color: #303030;\">RA: </span>\n",
    "            <span style=\"font-size: 13px; color: #515151;\">@x1</span>\n",
    "        </div>\n",
    "        <div>\n",
    "            <span style=\"font-size: 12px; font-weight: bold; color: #303030;\">DEC: </span>\n",
    "            <span style=\"font-size: 13px; color: #515151;\">@y1</span>\n",
    "        </div>\n",
    "    </div>\n",
    "\"\"\"\n",
    "\n",
    "\n",
    "\n",
    "# determining the position of selected cam fibers:\n",
    "c1,c2 = int(selected_spectrograph)*500, (int(selected_spectrograph)+1)*500\n",
    "qlf_fiberid = np.arange(0,5000)[c1:c2] \n",
    "\n",
    "# marking type of objects:\n",
    "obj_name=[]\n",
    "for i in qlf_fiberid:\n",
    "    if  i in snr['ELG_FIBERID']:\n",
    "        obj_name.append('ELG')\n",
    "    elif  i in snr['QSO_FIBERID']:\n",
    "        obj_name.append('QSO')\n",
    "    elif  i in snr['LRG_FIBERID']:\n",
    "        obj_name.append('LRG')\n",
    "    elif  i in snr['STAR_FIBERID']:\n",
    "        obj_name.append('STAR')\n",
    "    elif i in skycont['SKYFIBERID']:\n",
    "        obj_name.append('SKY')\n",
    "    else:\n",
    "        obj_name.append('UNKNOWN')\n",
    "\n",
    "\n",
    "xsigma_hover = HoverTool(tooltips=xsigma_tooltip)\n",
    "wsigma_hover = HoverTool(tooltips=wsigma_tooltip)\n",
    "\n",
    "xsigma = xwsigma['XSIGMA']\n",
    "wsigma = xwsigma['WSIGMA']\n",
    "\n",
    "source = ColumnDataSource(data={\n",
    "    'x1'     : xwsigma['RA'][c1:c2],\n",
    "    'y1'     : xwsigma['DEC'][c1:c2],\n",
    "    'xsigma' : xwsigma['XSIGMA'],\n",
    "    'wsigma' : xwsigma['WSIGMA'],\n",
    "    'QLF_FIBERID': qlf_fiberid,\n",
    "    'OBJ_NAME': obj_name\n",
    "})\n",
    "\n",
    "source_comp = ColumnDataSource(\n",
    "    data = {\n",
    "    'x1': xwsigma['RA'][:c1] + xwsigma['RA'][c2:],\n",
    "    'y1': xwsigma['DEC'][:c1] + xwsigma['DEC'][c2:],\n",
    "    'xsigma': ['']*4500,\n",
    "    'wsigma': ['']*4500\n",
    "})\n",
    "\n",
    "# axes limit\n",
    "left, right = 331, 335\n",
    "bottom, top = 13, 16.7\n",
    "\n",
    "xmapper = LinearColorMapper(palette= my_palette,\n",
    "                           low=0.98*np.min(xsigma), \n",
    "                           high=1.02*np.max(xsigma))\n",
    "\n",
    "wmapper = LinearColorMapper(palette= my_palette,\n",
    "                           low=0.99*np.min(wsigma), \n",
    "                           high=1.01*np.max(wsigma))\n",
    "\n",
    "# ======\n",
    "# XSIGMA\n",
    "px = figure( title = 'XSIGMA', x_axis_label='RA', y_axis_label='DEC'\n",
    "           , plot_width=700, plot_height=600\n",
    "           , x_range=Range1d(left, right), y_range=Range1d(bottom, top)\n",
    "           , tools= [xsigma_hover, \"pan,box_zoom,reset,crosshair\"])\n",
    "\n",
    "# Color Map\n",
    "px.circle('x1','y1', source = source, name=\"data\", radius = 0.018,\n",
    "        fill_color={'field': 'xsigma', 'transform': xmapper}, \n",
    "         line_color='black', line_width=0.1,\n",
    "         hover_line_color='red')\n",
    "\n",
    "# marking the Hover point\n",
    "px.circle('x1','y1', source = source, name=\"data\", radius = 0.0186\n",
    "          , hover_fill_color={'field': 'xsigma', 'transform': xmapper}\n",
    "          , fill_color=None, line_color=None\n",
    "          , line_width=3, hover_line_color='red')\n",
    "\n",
    "px.circle('x1','y1', source = source_comp, radius = 0.015,\n",
    "         fill_color = 'lightgray', line_color='black', line_width=0.3)\n",
    "\n",
    "# bokeh.pydata.org/en/latest/docs/reference/models/annotations.html\n",
    "xcolor_bar = ColorBar(color_mapper= xmapper, label_standoff=-13,\n",
    "                     major_label_text_font_style=\"bold\", padding = 26,\n",
    "                     major_label_text_align='right',\n",
    "                     major_label_text_font_size=\"10pt\",\n",
    "                     location=(0, 0))\n",
    "\n",
    "px.add_layout(xcolor_bar, 'left')\n",
    "\n",
    "\n",
    "\n",
    "# ======\n",
    "# WSIGMA\n",
    "pw = figure( title = 'WSIGMA', x_axis_label='RA', y_axis_label='DEC'\n",
    "           , plot_width=700, plot_height=600\n",
    "           , x_range=Range1d(left, right), y_range=Range1d(bottom, top)\n",
    "           , tools= [wsigma_hover, \"pan,box_zoom,reset,crosshair\"])\n",
    "\n",
    "# Color Map\n",
    "pw.circle('x1','y1', source = source, name=\"data\", radius = 0.018,\n",
    "        fill_color={'field': 'wsigma', 'transform': wmapper}, \n",
    "         line_color='black', line_width=0.1,\n",
    "         hover_line_color='red')\n",
    "\n",
    "# marking the Hover point\n",
    "pw.circle('x1','y1', source = source, name=\"data\", radius = 0.0186\n",
    "          , hover_fill_color={'field': 'wsigma', 'transform': wmapper}\n",
    "          , fill_color=None, line_color=None\n",
    "          , line_width=3, hover_line_color='red')\n",
    "\n",
    "pw.circle('x1','y1', source = source_comp, radius = 0.015,\n",
    "         fill_color = 'lightgray', line_color='black', line_width=0.3)\n",
    "\n",
    "# bokeh.pydata.org/en/latest/docs/reference/models/annotations.html\n",
    "wcolor_bar = ColorBar(color_mapper= wmapper, label_standoff=-13,\n",
    "                     major_label_text_font_style=\"bold\", padding = 26,\n",
    "                     major_label_text_align='right',\n",
    "                     major_label_text_font_size=\"10pt\",\n",
    "                     location=(0, 0))\n",
    "\n",
    "pw.add_layout(wcolor_bar, 'left')\n",
    "\n",
    "layout= row([px,pw])#, sizing_mode='scale_width')\n",
    "output_file('out_xwsigma.html')\n",
    "\n",
    "show(layout)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "334 56 62 9 39 0\n"
     ]
    }
   ],
   "source": [
    "print (obj_name.count('ELG'), obj_name.count('LRG'), obj_name.count('QSO')\n",
    "       , obj_name.count('STAR'), obj_name.count('SKY'), obj_name.count('UNKNOWN') )\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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