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mwcraig/try_blinking_cycling_through_images.ipynb

Created August 1, 2019 13:59
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Quick try at blinking/cycling through images
Display the source blob
Display the rendered blob
Raw
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()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.7"
}
},
"nbformat": 4,
"nbformat_minor": 4
}
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