Quick try at blinking/cycling through images

try_blinking_cycling_through_images.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import ipywidgets as widgets\n",
    "from astrowidgets import ImageWidget\n",
    "from astropy.nddata import CCDData"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: FITSFixedWarning: RADECSYS= 'FK5 ' / Equatorial coordinate system \n",
      "the RADECSYS keyword is deprecated, use RADESYSa. [astropy.wcs.wcs]\n"
     ]
    }
   ],
   "source": [
    "f1 = '/Users/mcraig/Documents/Research/find-file-links-ccd-redu-phot/ccd-reduction-and-photometry-guide/notebooks/example-thermo-electric/kelt-16-b-S001-R001-C084-r.fit'\n",
    "ccd1 = CCDData.read(f1)\n",
    "f2 = '/Users/mcraig/Documents/Research/find-file-links-ccd-redu-phot/ccd-reduction-and-photometry-guide/notebooks/example-thermo-electric/kelt-16-b-S001-R001-C125-r.fit'\n",
    "ccd2 = CCDData.read(f2)                "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f1b49c6c4bd64f62bc764de3f7748a62",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(ToggleButton(value=False, description='Blink'), ImageWidget(children=(Image(value=b'', format='…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "iw = ImageWidget()\n",
    "blinker = widgets.ToggleButton(description='Blink')\n",
    "\n",
    "vb = widgets.VBox(children=[blinker, iw])\n",
    "vb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mcraig/conda-main/envs/awid-dev/lib/python3.6/site-packages/ginga/AstroImage.py:183: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  data = self.get_mddata()[view]\n",
      "WARNING: FITSFixedWarning: RADECSYS= 'FK5 ' \n",
      "the RADECSYS keyword is deprecated, use RADESYSa. [astropy.wcs.wcs]\n"
     ]
    }
   ],
   "source": [
    "iw.load_fits(f1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def handle_blink_file(change):\n",
    "    if change['new']:\n",
    "        iw.load_fits(f2)\n",
    "    else:\n",
    "        iw.load_fits(f1)\n",
    "        \n",
    "blinker.observe(handle_blink_file, names='value')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: Some non-standard WCS keywords were excluded: A_ORDER, A_0_2, A_1_1, A_2_0, B_ORDER, B_0_2, B_1_1, B_2_0, AP_ORDER, AP_0_0, AP_0_1, AP_0_2, AP_1_0, AP_1_1, AP_2_0, BP_ORDER, BP_0_0, BP_0_1, BP_0_2, BP_1_0, BP_1_1, BP_2_0 Use the ``relax`` kwarg to control this. [astropy.wcs.wcs]\n"
     ]
    }
   ],
   "source": [
    "iw.load_nddata(ccd1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def handle_blink_memory(change):\n",
    "    if change['new']:\n",
    "        iw.load_nddata(ccd2)\n",
    "    else:\n",
    "        iw.load_nddata(ccd1)\n",
    "        \n",
    "blinker.observe(handle_blink_memory, names='value')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "from skimage.filters import median"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mcraig/conda-main/envs/awid-dev/lib/python3.6/site-packages/skimage/filters/rank/generic.py:104: UserWarning: Bad rank filter performance is expected due to a large number of bins (65536), equivalent to an approximate bitdepth of 16.0.\n",
      "  \"bitdepth of {:.1f}.\".format(n_bins, np.log2(n_bins)))\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "array([[1405, 1163, 1184, ..., 1111, 1111, 1144],\n",
       "       [1389, 1163, 1175, ..., 1111, 1111, 1144],\n",
       "       [1389, 1173, 1173, ..., 1120, 1112, 1144],\n",
       "       ...,\n",
       "       [1362, 1136, 1137, ..., 1106, 1101, 1144],\n",
       "       [1362, 1136, 1136, ..., 1113, 1101, 1144],\n",
       "       [1362, 1136, 1136, ..., 1135, 1135, 1144]], dtype=uint16)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "median(ccd1.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "99ef6dddd54d431f9555f11130b4b0eb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Play(value=0)"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "player = widgets.Play()\n",
    "player"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "images = [\n",
    "    '/Users/mcraig/Downloads/2018-08-22/wasp-10-b-S001-R001-C006-r.fit',\n",
    "    '/Users/mcraig/Downloads/2018-08-22/wasp-10-b-S001-R001-C014-r.fit',\n",
    "    '/Users/mcraig/Downloads/2018-08-22/wasp-10-b-S001-R001-C028-r.fit',\n",
    "    '/Users/mcraig/Downloads/2018-08-22/wasp-10-b-S001-R001-C040-r.fit',\n",
    "    '/Users/mcraig/Downloads/2018-08-22/wasp-10-b-S001-R001-C053-r.fit'\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/mcraig/conda-main/envs/awid-dev/lib/python3.6/site-packages/ginga/AstroImage.py:183: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use `arr[tuple(seq)]` instead of `arr[seq]`. In the future this will be interpreted as an array index, `arr[np.array(seq)]`, which will result either in an error or a different result.\n",
      "  data = self.get_mddata()[view]\n",
      "WARNING: FITSFixedWarning: RADECSYS= 'FK5 ' \n",
      "the RADECSYS keyword is deprecated, use RADESYSa. [astropy.wcs.wcs]\n"
     ]
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0ff57f05665e4a238324b947ff8f5760",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(ToggleButtons(options=(0, 1, 2, 3, 4), style=ToggleButtonsStyle(button_width='10px'), value=0),…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "toggles = widgets.ToggleButtons(options=range(len(images)),\n",
    "                                style=widgets.ToggleButtonsStyle(button_width='10px'))\n",
    "\n",
    "iw2 = ImageWidget()\n",
    "iw2.load_fits(images[0])\n",
    "\n",
    "def update_displayed_image(change):\n",
    "    zoom = iw2.zoom_level\n",
    "    center = iw2._viewer.get_pan()\n",
    "    iw2.load_fits(images[change['new']])\n",
    "    iw2.zoom_level = zoom\n",
    "    iw2.center_on(center)\n",
    "    \n",
    "toggles.observe(update_displayed_image, names='value')\n",
    "\n",
    "moops = widgets.VBox(children=[toggles, iw2])\n",
    "moops"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.12171372930866602"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "iw2.zoom_level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "gv = iw2._viewer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(2054.5, 2048.0)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gv.get_pan()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "load_fits() missing 1 required positional argument: 'filepath'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-16-60d0d4f8d91c>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mgv\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_fits\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mTypeError\u001b[0m: load_fits() missing 1 required positional argument: 'filepath'"
     ]
    }
   ],
   "source": [
    "gv.load_fits()"
   ]
  }
 ],
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