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+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "id": "64edae5d-7c65-4fcb-bb0b-67bf55809abd",
+ "metadata": {},
+ "source": [
+ "# Demo of PlanetaryPy\n",
+ "\n",
+ "We support Python 3.9+, so I'm running this demo in Python 3.9.\n",
+ "\n",
+ "## Installation\n",
+ "\n",
+ "The package isn't streamlined for dependencies, so we need to install a fair bit of them:\n",
+ "\n",
+ "```\n",
+ "tomlkit pandas pvl numpy python-dateutil tqdm lxml yarl kalasiris dask fastparquet rioxarray matplotlib hvplot requests astropy fastcore datashader ipywidgets gdal spiceypy rasterio\n",
+ "```\n",
+ "\n",
+ "It's fastest to install these with conda first, and then to install `planetarypy` with pip. (no conda package yet)\n",
+ "\n",
+ "Current version: 0.27.5"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5cd9250a-c0bd-4522-9c96-c252da7112a0",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import planetarypy as plpy"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "3e309eca-8f0c-4df1-a16d-193892c4ff8e",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'0.27.5'"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "plpy.__version__"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "58a59e97-c0c1-422a-bd89-e0b88cdf2a89",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from planetarypy.pds.apps import get_index, find_indexes"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "60c8b54f-8dda-4668-817f-ba6e1060c397",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "storage_root = \"/Users/maye/planetarypy_data\"\n",
+ "\n",
+ "[missions.cassini.iss.indexes.index]\n",
+ "# 'index' is the ID of the originally delivered index\n",
+ "# inventory, moon_summary, ring_summary, and saturn_summary are other indexes produced\n",
+ "# by the Rings-Moons Systems PDS node\n",
+ "url = \"https://pds-rings.seti.org/holdings/metadata/COISS_2xxx/COISS_2999/COISS_2999_index.lbl\"\n",
+ "timestamp = \"2023-06-19T20:55:45.702690\"\n",
+ "\n",
+ "[missions.cassini.iss.indexes.inventory]\n",
+ "url = \"https://pds-rings.seti.org/holdings/metadata/COISS_2xxx/COISS_2999/COISS_2999_inventory.lbl\"\n",
+ "\n",
+ "[missions.cassini.iss.indexes.moon_summary]\n",
+ "url = \"https://pds-rings.seti.org/holdings/metadata/COISS_2xxx/COISS_2999/COISS_2999_moon_summary.lbl\"\n",
+ "timestamp = \"\"\n",
+ "\n",
+ "[missions.cassini.iss.indexes.ring_summary]\n",
+ "url = \"https://pds-rings.seti.org/holdings/metadata/COISS_2xxx/COISS_2999/COISS_2999_ring_summary.lbl\"\n",
+ "timestamp = \"\"\n",
+ "\n",
+ "[missions.cassini.iss.indexes.saturn_summary]\n",
+ "url = \"https://pds-rings.seti.org/holdings/metadata/COISS_2xxx/COISS_2999/COISS_2999_saturn_summary.lbl\"\n",
+ "timestamp = \"\"\n",
+ "\n",
+ "\n",
+ "[missions.cassini.uvis.indexes.index]\n",
+ "url = \"https://pds-rings.seti.org/holdings/metadata/COUVIS_0xxx/COUVIS_0999/COUVIS_0999_index.lbl\"\n",
+ "timestamp = \"\"\n",
+ "\n",
+ "[missions.cassini.uvis.indexes.moon_summary]\n",
+ "url = \"https://pds-rings.seti.org/holdings/metadata/COUVIS_0xxx/COUVIS_0999/COUVIS_0999_moon_summary.lbl\"\n",
+ "\n",
+ "[missions.cassini.uvis.indexes.ring_summary]\n",
+ "url = \"https://pds-rings.seti.org/holdings/metadata/COUVIS_0xxx/COUVIS_0999/COUVIS_0999_ring_summary.lbl\"\n",
+ "timestamp = \"\"\n",
+ "\n",
+ "[missions.cassini.uvis.indexes.saturn_summary]\n",
+ "url = \"https://pds-rings.seti.org/holdings/metadata/COUVIS_0xxx/COUVIS_0999/COUVIS_0999_saturn_summary.lbl\"\n",
+ "\n",
+ "[missions.cassini.uvis.indexes.supplemental_index]\n",
+ "url = \"https://pds-rings.seti.org/holdings/metadata/COUVIS_0xxx/COUVIS_0999/COUVIS_0999_supplemental_index.lbl\"\n",
+ "\n",
+ "[missions.cassini.uvis.indexes.versions]\n",
+ "url = \"https://pds-rings.seti.org/holdings/metadata/COUVIS_0xxx/COUVIS_0999/COUVIS_0999_versions.lbl\"\n",
+ "\n",
+ "\n",
+ "\n",
+ "[missions.mro.hirise.indexes.dtm]\n",
+ "url = \"https://hirise-pds.lpl.arizona.edu/PDS/INDEX/DTMCUMINDEX.LBL\"\n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "!head -n 50 $HOME/.planetarypy_config.toml"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4b8fc614-b3a2-43a0-a1da-a7ade1371e64",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['index', 'inventory', 'moon_summary', 'ring_summary', 'saturn_summary']"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "find_indexes(\"cassini.iss\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "d5492c59-7d55-4d64-8719-7f841aa52ac7",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['index',\n",
+ " 'moon_summary',\n",
+ " 'ring_summary',\n",
+ " 'saturn_summary',\n",
+ " 'supplemental_index',\n",
+ " 'versions']"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "find_indexes(\"cassini.uvis\")"
+ ]
+ },
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+ "execution_count": null,
+ "id": "ae6bb854-216a-4d6b-a9bf-0a6fb212e331",
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+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
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+ "df = get_index(\"cassini.iss.index\")\n",
+ "df.head()"
+ ]
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+ "metadata": {},
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+ " -100000000000000005366162204393472.0 | \n",
+ " CASSINI ORBITER SATURN ISSNA/ISSWA 2 EDR VERSI... | \n",
+ " CO | \n",
+ " EDR | \n",
+ " ISS_EDR | \n",
+ "
\n",
+ " \n",
+ " 2017-09-14 13:40:04.906 | \n",
+ " N1884091792_1.IMG | \n",
+ " data/1884017637_1884113741/N1884091792_1.IMG | \n",
+ " COISS_2116 | \n",
+ " OFF | \n",
+ " 21.843445 | \n",
+ " <NA> | \n",
+ " trigger_25245_3.ioi | \n",
+ " 25245 | \n",
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+ " 12BIT | \n",
+ " ... | \n",
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+ " -100000000000000005366162204393472.0 | \n",
+ " -100000000000000005366162204393472.0 | \n",
+ " -100000000000000005366162204393472.0 | \n",
+ " CASSINI ORBITER SATURN ISSNA/ISSWA 2 EDR VERSI... | \n",
+ " CO | \n",
+ " EDR | \n",
+ " ISS_EDR | \n",
+ "
\n",
+ " \n",
+ " 2017-09-14 13:44:27.905 | \n",
+ " N1884092055_1.IMG | \n",
+ " data/1884017637_1884113741/N1884092055_1.IMG | \n",
+ " COISS_2116 | \n",
+ " OFF | \n",
+ " 21.885845 | \n",
+ " <NA> | \n",
+ " trigger_25245_3.ioi | \n",
+ " 25245 | \n",
+ " 1.263209 | \n",
+ " 12BIT | \n",
+ " ... | \n",
+ " 4.736484 | \n",
+ " <NA> | \n",
+ " -100000000000000005366162204393472.0 | \n",
+ " -100000000000000005366162204393472.0 | \n",
+ " -100000000000000005366162204393472.0 | \n",
+ " -100000000000000005366162204393472.0 | \n",
+ " CASSINI ORBITER SATURN ISSNA/ISSWA 2 EDR VERSI... | \n",
+ " CO | \n",
+ " EDR | \n",
+ " ISS_EDR | \n",
+ "
\n",
+ " \n",
+ " 2017-09-14 13:48:50.903 | \n",
+ " N1884092318_1.IMG | \n",
+ " data/1884017637_1884113741/N1884092318_1.IMG | \n",
+ " COISS_2116 | \n",
+ " OFF | \n",
+ " 21.558872 | \n",
+ " <NA> | \n",
+ " trigger_25245_3.ioi | \n",
+ " 25245 | \n",
+ " 1.260029 | \n",
+ " 12BIT | \n",
+ " ... | \n",
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+ " CASSINI ORBITER SATURN ISSNA/ISSWA 2 EDR VERSI... | \n",
+ " CO | \n",
+ " EDR | \n",
+ " ISS_EDR | \n",
+ "
\n",
+ " \n",
+ " 2017-09-14 13:53:13.901 | \n",
+ " N1884092581_1.IMG | \n",
+ " data/1884017637_1884113741/N1884092581_1.IMG | \n",
+ " COISS_2116 | \n",
+ " OFF | \n",
+ " 21.606491 | \n",
+ " <NA> | \n",
+ " trigger_25245_3.ioi | \n",
+ " 25245 | \n",
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+ " 12BIT | \n",
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+ " CASSINI ORBITER SATURN ISSNA/ISSWA 2 EDR VERSI... | \n",
+ " CO | \n",
+ " EDR | \n",
+ " ISS_EDR | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
7 rows × 139 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " FILE_NAME \\\n",
+ "IMAGE_MID_TIME \n",
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+ "2017-09-14 13:53:13.901 N1884092581_1.IMG \n",
+ "\n",
+ " FILE_SPECIFICATION_NAME \\\n",
+ "IMAGE_MID_TIME \n",
+ "2017-09-14 13:26:59.927 data/1884017637_1884113741/N1884091007_1.IMG \n",
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+ "2017-09-14 13:53:13.901 data/1884017637_1884113741/N1884092581_1.IMG \n",
+ "\n",
+ " VOLUME_ID ANTIBLOOMING_STATE_FLAG BIAS_STRIP_MEAN \\\n",
+ "IMAGE_MID_TIME \n",
+ "2017-09-14 13:26:59.927 COISS_2116 OFF 21.611872 \n",
+ "2017-09-14 13:31:18.910 COISS_2116 OFF 21.594259 \n",
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+ "2017-09-14 13:44:27.905 COISS_2116 OFF 21.885845 \n",
+ "2017-09-14 13:48:50.903 COISS_2116 OFF 21.558872 \n",
+ "2017-09-14 13:53:13.901 COISS_2116 OFF 21.606491 \n",
+ "\n",
+ " CALIBRATION_LAMP_STATE_FLAG COMMAND_FILE_NAME \\\n",
+ "IMAGE_MID_TIME \n",
+ "2017-09-14 13:26:59.927 trigger_25245_3.ioi \n",
+ "2017-09-14 13:31:18.910 trigger_25245_3.ioi \n",
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+ "2017-09-14 13:48:50.903 trigger_25245_3.ioi \n",
+ "2017-09-14 13:53:13.901 trigger_25245_3.ioi \n",
+ "\n",
+ " COMMAND_SEQUENCE_NUMBER DARK_STRIP_MEAN \\\n",
+ "IMAGE_MID_TIME \n",
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+ "2017-09-14 13:53:13.901 25245 1.248288 \n",
+ "\n",
+ " DATA_CONVERSION_TYPE ... TWIST_ANGLE TARGET_LIST \\\n",
+ "IMAGE_MID_TIME ... \n",
+ "2017-09-14 13:26:59.927 12BIT ... 4.868274 \n",
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+ "2017-09-14 13:35:41.908 12BIT ... 4.77302 DAPHNIS \n",
+ "2017-09-14 13:40:04.906 12BIT ... 4.748047 \n",
+ "2017-09-14 13:44:27.905 12BIT ... 4.736484 \n",
+ "2017-09-14 13:48:50.903 12BIT ... 4.737905 \n",
+ "2017-09-14 13:53:13.901 12BIT ... 4.750201 \n",
+ "\n",
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+ "IMAGE_MID_TIME \n",
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+ "2017-09-14 13:48:50.903 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:53:13.901 -100000000000000005366162204393472.0 \n",
+ "\n",
+ " UPPER_LEFT_LONGITUDE \\\n",
+ "IMAGE_MID_TIME \n",
+ "2017-09-14 13:26:59.927 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:31:18.910 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:35:41.908 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:40:04.906 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:44:27.905 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:48:50.903 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:53:13.901 -100000000000000005366162204393472.0 \n",
+ "\n",
+ " UPPER_RIGHT_LATITUDE \\\n",
+ "IMAGE_MID_TIME \n",
+ "2017-09-14 13:26:59.927 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:31:18.910 -100000000000000005366162204393472.0 \n",
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+ "2017-09-14 13:40:04.906 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:44:27.905 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:48:50.903 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:53:13.901 -100000000000000005366162204393472.0 \n",
+ "\n",
+ " UPPER_RIGHT_LONGITUDE \\\n",
+ "IMAGE_MID_TIME \n",
+ "2017-09-14 13:26:59.927 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:31:18.910 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:35:41.908 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:40:04.906 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:44:27.905 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:48:50.903 -100000000000000005366162204393472.0 \n",
+ "2017-09-14 13:53:13.901 -100000000000000005366162204393472.0 \n",
+ "\n",
+ " DATA_SET_NAME \\\n",
+ "IMAGE_MID_TIME \n",
+ "2017-09-14 13:26:59.927 CASSINI ORBITER SATURN ISSNA/ISSWA 2 EDR VERSI... \n",
+ "2017-09-14 13:31:18.910 CASSINI ORBITER SATURN ISSNA/ISSWA 2 EDR VERSI... \n",
+ "2017-09-14 13:35:41.908 CASSINI ORBITER SATURN ISSNA/ISSWA 2 EDR VERSI... \n",
+ "2017-09-14 13:40:04.906 CASSINI ORBITER SATURN ISSNA/ISSWA 2 EDR VERSI... \n",
+ "2017-09-14 13:44:27.905 CASSINI ORBITER SATURN ISSNA/ISSWA 2 EDR VERSI... \n",
+ "2017-09-14 13:48:50.903 CASSINI ORBITER SATURN ISSNA/ISSWA 2 EDR VERSI... \n",
+ "2017-09-14 13:53:13.901 CASSINI ORBITER SATURN ISSNA/ISSWA 2 EDR VERSI... \n",
+ "\n",
+ " INSTRUMENT_HOST_ID PRODUCT_TYPE \\\n",
+ "IMAGE_MID_TIME \n",
+ "2017-09-14 13:26:59.927 CO EDR \n",
+ "2017-09-14 13:31:18.910 CO EDR \n",
+ "2017-09-14 13:35:41.908 CO EDR \n",
+ "2017-09-14 13:40:04.906 CO EDR \n",
+ "2017-09-14 13:44:27.905 CO EDR \n",
+ "2017-09-14 13:48:50.903 CO EDR \n",
+ "2017-09-14 13:53:13.901 CO EDR \n",
+ "\n",
+ " STANDARD_DATA_PRODUCT_ID \n",
+ "IMAGE_MID_TIME \n",
+ "2017-09-14 13:26:59.927 ISS_EDR \n",
+ "2017-09-14 13:31:18.910 ISS_EDR \n",
+ "2017-09-14 13:35:41.908 ISS_EDR \n",
+ "2017-09-14 13:40:04.906 ISS_EDR \n",
+ "2017-09-14 13:44:27.905 ISS_EDR \n",
+ "2017-09-14 13:48:50.903 ISS_EDR \n",
+ "2017-09-14 13:53:13.901 ISS_EDR \n",
+ "\n",
+ "[7 rows x 139 columns]"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "df.set_index(\"IMAGE_MID_TIME\").loc['20170914 00':'20170914 15']"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "183c34ca-f1ca-4bd5-a1c4-dd9029100960",
+ "metadata": {},
+ "source": [
+ "# Cassini ISS"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f4f3d52b-62b0-4ee1-ab9a-fa775d00b85d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from planetarypy.ciss import ISS"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9553b271-7cf8-4933-92ba-b34ddc330334",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Found 1 obsids.\n"
+ ]
+ }
+ ],
+ "source": [
+ "iss = ISS(\"N1884091529_1\")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8e9335e9-2629-4446-a7b8-35fa52ca93b8",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "997a5f856dbc40dca0b108448a8677d1",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "N1884091529_1.IMG: 0%| | 0/2127944 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "0efd53d716e64eeca830d6e6ac3a9cf2",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "N1884091529_1.LBL: 0%| | 0/3685 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "iss.download_raw()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "6c759da5-f555-4132-9f58-4c45e0d54db5",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Path('/Users/maye/planetarypy_data/missions/cassini/iss/N1884091529_1/N1884091529_1.LBL')"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "iss.local_label_path"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "9f1e32f0-ec65-4010-b326-8c7138e4066d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import pdr"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "d7ed17f3-d740-4067-8b8f-5457db721c00",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "do = pdr.open(iss.local_data_path)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "7a3c2f9c-f08d-4e6a-898a-1c405fdfb40a",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "pdr.pdr.Data"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "type(do)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "3882e017-9b4b-4d5b-965b-ce587ae2649f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'2017-257T13:35:41.908'"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "do.read_metadata()['IMAGE_MID_TIME']"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "7b53d756-af38-4be0-a3f5-e0c8ea400484",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "image/png": 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",
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "do.show(\"IMAGE\")"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "de4581da-a59b-441a-9541-a08aabc239e5",
+ "metadata": {},
+ "source": [
+ "# CTX"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "0770a2aa-e212-4ef8-8b4d-a50b593eb30b",
+ "metadata": {},
+ "outputs": [
+ {
+ "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.').replace('.dev', '-dev.');\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': {'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': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\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 + 9;\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['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n",
+ " var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.1.1/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/1.1.1/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/1.1.1/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://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/1.1.1/dist/panel.min.js\"];\n",
+ " var js_modules = [];\n",
+ " var js_exports = {};\n",
+ " var css_urls = [];\n",
+ " var inline_js = [ 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.').replace('.dev', '-dev.');\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': {'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': {'jspanel': {'exports': 'jsPanel'}, 'gridstack': {'exports': 'GridStack'}}});\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 + 9;\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['jsPanel'] !== undefined) && (!(window['jsPanel'] instanceof HTMLElement))) || window.requirejs) {\n var urls = ['https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/jspanel.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/modal/jspanel.modal.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/tooltip/jspanel.tooltip.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/hint/jspanel.hint.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/layout/jspanel.layout.js', 'https://cdn.holoviz.org/panel/1.1.1/dist/bundled/floatpanel/jspanel4@4.12.0/dist/extensions/contextmenu/jspanel.contextmenu.js', 'https://cdn.holoviz.org/panel/1.1.1/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/1.1.1/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/1.1.1/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://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/1.1.1/dist/panel.min.js\"];\n var js_modules = [];\n var js_exports = {};\n var css_urls = [];\n var inline_js = [ 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": {
+ "application/javascript": [
+ "\n",
+ "if ((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",
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+ "\n",
+ "\n",
+ "var JS_MIME_TYPE = 'application/javascript';\n",
+ "var HTML_MIME_TYPE = 'text/html';\n",
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+ "\n",
+ "/**\n",
+ " * Render data to the DOM node\n",
+ " */\n",
+ "function 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",
+ " */\n",
+ "function handle_add_output(event, handle) {\n",
+ " var output_area = handle.output_area;\n",
+ " var output = handle.output;\n",
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+ " var scripts = [];\n",
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+ " scripts.push(nodelist[i])\n",
+ " }\n",
+ " }\n",
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+ " }\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",
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+ " if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n",
+ " window.PyViz.plot_index[id] = Bokeh.index[id];\n",
+ " } else {\n",
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+ " }\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",
+ " */\n",
+ "function 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",
+ " */\n",
+ "function 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",
+ " */\n",
+ "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 = 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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 = 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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": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
+ "source": [
+ "from planetarypy.ctx import CTX"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8b42e91d-909d-48e2-a11d-7d5cd85adc5c",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "An updated index is available.\n",
+ "Call `get_index` with `refresh=True` to get the updated version.\n"
+ ]
+ }
+ ],
+ "source": [
+ "edrs = get_index('mro.ctx.edr', check_update=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "afc9e349-38eb-40a6-bc66-c6e611b82f34",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " VOLUME_ID | \n",
+ " FILE_SPECIFICATION_NAME | \n",
+ " ORIGINAL_PRODUCT_ID | \n",
+ " PRODUCT_ID | \n",
+ " IMAGE_TIME | \n",
+ " INSTRUMENT_ID | \n",
+ " INSTRUMENT_MODE_ID | \n",
+ " LINE_SAMPLES | \n",
+ " LINES | \n",
+ " SPATIAL_SUMMING | \n",
+ " ... | \n",
+ " SUB_SOLAR_LATITUDE | \n",
+ " SUB_SPACECRAFT_LONGITUDE | \n",
+ " SUB_SPACECRAFT_LATITUDE | \n",
+ " SOLAR_DISTANCE | \n",
+ " SOLAR_LONGITUDE | \n",
+ " LOCAL_TIME | \n",
+ " IMAGE_SKEW_ANGLE | \n",
+ " RATIONALE_DESC | \n",
+ " DATA_QUALITY_DESC | \n",
+ " ORBIT_NUMBER | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " 132418 | \n",
+ " MROX_4238 | \n",
+ " DATA/U08_074275_2042_XN_24N114W.IMG | \n",
+ " 4A_04_1178029600 | \n",
+ " U08_074275_2042_XN_24N114W | \n",
+ " 2022-05-31 20:34:40.250 | \n",
+ " CTX | \n",
+ " NIFL | \n",
+ " 5056 | \n",
+ " 52224 | \n",
+ " 1 | \n",
+ " ... | \n",
+ " -21.41 | \n",
+ " 114.33 | \n",
+ " 24.19 | \n",
+ " 207100837.4 | \n",
+ " 238.08 | \n",
+ " 15.41 | \n",
+ " 89.9 | \n",
+ " Olympica Fossae | \n",
+ " OK | \n",
+ " 74275 | \n",
+ "
\n",
+ " \n",
+ " 132419 | \n",
+ " MROX_4238 | \n",
+ " DATA/U08_074276_1370_XI_43S133W.IMG | \n",
+ " 4A_04_1179029700 | \n",
+ " U08_074276_1370_XI_43S133W | \n",
+ " 2022-05-31 22:06:07.945 | \n",
+ " CTX | \n",
+ " ITL | \n",
+ " 5056 | \n",
+ " 49152 | \n",
+ " 1 | \n",
+ " ... | \n",
+ " -21.42 | \n",
+ " 132.87 | \n",
+ " -43.09 | \n",
+ " 207097154.5 | \n",
+ " 238.12 | \n",
+ " 15.62 | \n",
+ " 90.4 | \n",
+ " Landforms in Terra Sirenum | \n",
+ " OK | \n",
+ " 74276 | \n",
+ "
\n",
+ " \n",
+ " 132420 | \n",
+ " MROX_4238 | \n",
+ " DATA/U08_074276_1808_XI_00N138W.IMG | \n",
+ " 4A_04_1179029800 | \n",
+ " U08_074276_1808_XI_00N138W | \n",
+ " 2022-05-31 22:20:18.890 | \n",
+ " CTX | \n",
+ " ITL | \n",
+ " 5056 | \n",
+ " 7168 | \n",
+ " 1 | \n",
+ " ... | \n",
+ " -21.42 | \n",
+ " 138.7 | \n",
+ " 0.83 | \n",
+ " 207097007.7 | \n",
+ " 238.13 | \n",
+ " 15.5 | \n",
+ " 90.1 | \n",
+ " Candidate impact site formed at most between N... | \n",
+ " OK | \n",
+ " 74276 | \n",
+ "
\n",
+ " \n",
+ " 132421 | \n",
+ " MROX_4238 | \n",
+ " DATA/U08_074277_1426_XN_37S161W.IMG | \n",
+ " 4A_04_1178029900 | \n",
+ " U08_074277_1426_XN_37S161W | \n",
+ " 2022-06-01 00:00:42.414 | \n",
+ " CTX | \n",
+ " NIFL | \n",
+ " 2528 | \n",
+ " 8192 | \n",
+ " 1 | \n",
+ " ... | \n",
+ " -21.43 | \n",
+ " 161.11 | \n",
+ " -37.53 | \n",
+ " 207093626.0 | \n",
+ " 238.17 | \n",
+ " 15.62 | \n",
+ " 90.1 | \n",
+ " Craters in Terra Sirenum | \n",
+ " OK | \n",
+ " 74277 | \n",
+ "
\n",
+ " \n",
+ " 132422 | \n",
+ " MROX_4238 | \n",
+ " DATA/U08_074277_2154_XI_35N170W.IMG | \n",
+ " 4A_04_1179029A00 | \n",
+ " U08_074277_2154_XI_35N170W | \n",
+ " 2022-06-01 00:23:16.886 | \n",
+ " CTX | \n",
+ " ITL | \n",
+ " 5056 | \n",
+ " 7168 | \n",
+ " 1 | \n",
+ " ... | \n",
+ " -21.44 | \n",
+ " 170.43 | \n",
+ " 35.37 | \n",
+ " 207094216.0 | \n",
+ " 238.18 | \n",
+ " 15.39 | \n",
+ " 90.0 | \n",
+ " Fresh impact crater in Amazonis Planitia | \n",
+ " OK | \n",
+ " 74277 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
5 rows × 51 columns
\n",
+ "
"
+ ],
+ "text/plain": [
+ " VOLUME_ID FILE_SPECIFICATION_NAME ORIGINAL_PRODUCT_ID \\\n",
+ "132418 MROX_4238 DATA/U08_074275_2042_XN_24N114W.IMG 4A_04_1178029600 \n",
+ "132419 MROX_4238 DATA/U08_074276_1370_XI_43S133W.IMG 4A_04_1179029700 \n",
+ "132420 MROX_4238 DATA/U08_074276_1808_XI_00N138W.IMG 4A_04_1179029800 \n",
+ "132421 MROX_4238 DATA/U08_074277_1426_XN_37S161W.IMG 4A_04_1178029900 \n",
+ "132422 MROX_4238 DATA/U08_074277_2154_XI_35N170W.IMG 4A_04_1179029A00 \n",
+ "\n",
+ " PRODUCT_ID IMAGE_TIME INSTRUMENT_ID \\\n",
+ "132418 U08_074275_2042_XN_24N114W 2022-05-31 20:34:40.250 CTX \n",
+ "132419 U08_074276_1370_XI_43S133W 2022-05-31 22:06:07.945 CTX \n",
+ "132420 U08_074276_1808_XI_00N138W 2022-05-31 22:20:18.890 CTX \n",
+ "132421 U08_074277_1426_XN_37S161W 2022-06-01 00:00:42.414 CTX \n",
+ "132422 U08_074277_2154_XI_35N170W 2022-06-01 00:23:16.886 CTX \n",
+ "\n",
+ " INSTRUMENT_MODE_ID LINE_SAMPLES LINES SPATIAL_SUMMING ... \\\n",
+ "132418 NIFL 5056 52224 1 ... \n",
+ "132419 ITL 5056 49152 1 ... \n",
+ "132420 ITL 5056 7168 1 ... \n",
+ "132421 NIFL 2528 8192 1 ... \n",
+ "132422 ITL 5056 7168 1 ... \n",
+ "\n",
+ " SUB_SOLAR_LATITUDE SUB_SPACECRAFT_LONGITUDE SUB_SPACECRAFT_LATITUDE \\\n",
+ "132418 -21.41 114.33 24.19 \n",
+ "132419 -21.42 132.87 -43.09 \n",
+ "132420 -21.42 138.7 0.83 \n",
+ "132421 -21.43 161.11 -37.53 \n",
+ "132422 -21.44 170.43 35.37 \n",
+ "\n",
+ " SOLAR_DISTANCE SOLAR_LONGITUDE LOCAL_TIME IMAGE_SKEW_ANGLE \\\n",
+ "132418 207100837.4 238.08 15.41 89.9 \n",
+ "132419 207097154.5 238.12 15.62 90.4 \n",
+ "132420 207097007.7 238.13 15.5 90.1 \n",
+ "132421 207093626.0 238.17 15.62 90.1 \n",
+ "132422 207094216.0 238.18 15.39 90.0 \n",
+ "\n",
+ " RATIONALE_DESC DATA_QUALITY_DESC \\\n",
+ "132418 Olympica Fossae OK \n",
+ "132419 Landforms in Terra Sirenum OK \n",
+ "132420 Candidate impact site formed at most between N... OK \n",
+ "132421 Craters in Terra Sirenum OK \n",
+ "132422 Fresh impact crater in Amazonis Planitia OK \n",
+ "\n",
+ " ORBIT_NUMBER \n",
+ "132418 74275 \n",
+ "132419 74276 \n",
+ "132420 74276 \n",
+ "132421 74277 \n",
+ "132422 74277 \n",
+ "\n",
+ "[5 rows x 51 columns]"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "edrs.tail()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b2f1a9b0-c78c-422e-aa2a-496733e63b77",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "pid = \"U08_074276_1370_XI_43S133W\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4441d9b3-035e-4b98-aaaa-af8a1cf4c14e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "ctx = CTX(pid)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "256e4bc1-8edf-448a-9793-093373d65934",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "File exists. Use `overwrite=True` to download fresh.\n"
+ ]
+ }
+ ],
+ "source": [
+ "ctx.download()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "7f2d98e2-de14-4ba9-82b5-df9c46701959",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "volume_id MROX_4238\n",
+ "file_specification_name DATA/U08_074276_1370_XI_43S133W.IMG\n",
+ "original_product_id 4A_04_1179029700\n",
+ "product_id U08_074276_1370_XI_43S133W\n",
+ "image_time 2022-05-31 22:06:07.945000\n",
+ "instrument_id CTX\n",
+ "instrument_mode_id ITL\n",
+ "line_samples 5056\n",
+ "lines 49152\n",
+ "spatial_summing 1\n",
+ "scaled_pixel_width 5.13\n",
+ "pixel_aspect_ratio 1.18\n",
+ "emission_angle 5.34\n",
+ "incidence_angle 50.01\n",
+ "phase_angle 55.16\n",
+ "center_longitude 133.38\n",
+ "center_latitude -43.14\n",
+ "upper_left_longitude 133.3\n",
+ "upper_left_latitude -45.66\n",
+ "upper_right_longitude 132.68\n",
+ "upper_right_latitude -45.61\n",
+ "lower_left_longitude 134.04\n",
+ "lower_left_latitude -40.68\n",
+ "lower_right_longitude 133.48\n",
+ "lower_right_latitude -40.63\n",
+ "mission_phase_name ESP\n",
+ "target_name MARS\n",
+ "spacecraft_clock_start_count 1338502024:229\n",
+ "focal_plane_temperature 294.5\n",
+ "line_exposure_duration 1.877\n",
+ "offset_mode_id 196/215/209\n",
+ "sample_first_pixel 0\n",
+ "scaled_image_width 25.66\n",
+ "scaled_image_height 297.15\n",
+ "spacecraft_altitude 254.75\n",
+ "target_center_distance 3641.68\n",
+ "slant_distance 255.78\n",
+ "usage_note N\n",
+ "north_azimuth 276.51\n",
+ "sub_solar_azimuth 194.3\n",
+ "sub_solar_longitude 187.84\n",
+ "sub_solar_latitude -21.42\n",
+ "sub_spacecraft_longitude 132.87\n",
+ "sub_spacecraft_latitude -43.09\n",
+ "solar_distance 207097154.5\n",
+ "solar_longitude 238.12\n",
+ "local_time 15.62\n",
+ "image_skew_angle 90.4\n",
+ "rationale_desc Landforms in Terra Sirenum\n",
+ "data_quality_desc OK\n",
+ "orbit_number 74276\n",
+ "short_pid U08_074276_1370\n",
+ "month_col U08\n",
+ "Name: 132419, dtype: object"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ctx.meta"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "41851f46-6247-4965-8594-bf168e2e4cba",
+ "metadata": {},
+ "outputs": [
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+ ],
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+ "ctx.edr_da"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a9181ee4-3e44-4dab-a1eb-2ca6f0c5ccd4",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Driver: PDS/NASA Planetary Data System\n",
+ "Files: /Users/maye/planetarypy_data/missions/mro/ctx/edr/U08_074276_1370_XI_43S133W.IMG\n",
+ "Size is 5056, 49152\n",
+ "Metadata:\n",
+ " BANDWIDTH=\n",
+ " CENTER_FILTER_WAVELENGTH=\n",
+ " DATA_SET_ID=\"MRO-M-CTX-2-EDR-L0-V1.0\"\n",
+ " FILTER_NAME=\n",
+ " INSTRUMENT_ID=CTX\n",
+ " INSTRUMENT_NAME=\"CONTEXT CAMERA\"\n",
+ " MISSION_NAME=\n",
+ " NOTE=\n",
+ " PRODUCER_INSTITUTION_NAME=\n",
+ " PRODUCT_CREATION_TIME=2022-11-04T18:18:50\n",
+ " PRODUCT_ID=\"U08_074276_1370_XI_43S133W\"\n",
+ " PRODUCT_TYPE=\n",
+ " SPACECRAFT_NAME=MARS_RECONNAISSANCE_ORBITER\n",
+ " START_TIME=2022-05-31T22:06:07.945\n",
+ " STOP_TIME=2022-05-31T22:07:40.191\n",
+ " TARGET_NAME=MARS\n",
+ "Corner Coordinates:\n",
+ "Upper Left ( 0.0, 0.0)\n",
+ "Lower Left ( 0.0,49152.0)\n",
+ "Upper Right ( 5056.0, 0.0)\n",
+ "Lower Right ( 5056.0,49152.0)\n",
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+ "Band 1 Block=5056x1 Type=Byte, ColorInterp=Undefined\n",
+ " NoData Value=0\n"
+ ]
+ }
+ ],
+ "source": [
+ "!gdalinfo {ctx.source_path}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "7d9ff61a-6d53-4975-88a5-d59ccc8e6bb0",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {},
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.holoviews_exec.v0+json": "",
+ "text/html": [
+ "\n",
+ ""
+ ],
+ "text/plain": [
+ ":DynamicMap []\n",
+ " :Image [y,x] (U08_074276_1370 EDR)"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {
+ "application/vnd.holoviews_exec.v0+json": {
+ "id": "p1258"
+ }
+ },
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ctx.plot_edr()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "8267aeb1-6edc-49ac-9b66-7cd1e6a5e19c",
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+ " ... ...\n",
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+ " ...\n",
+ " 49142.5, 49143.5, 49144.5, 49145.5, 49146.5, 49147.5, 49148.5,\n",
+ " 49149.5, 49150.5, 49151.5],\n",
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+ "Attributes: (12/19)\n",
+ " BANDWIDTH: \n",
+ " CENTER_FILTER_WAVELENGTH: \n",
+ " DATA_SET_ID: \"MRO-M-CTX-2-EDR-L0-V1.0\"\n",
+ " FILTER_NAME: \n",
+ " INSTRUMENT_ID: CTX\n",
+ " INSTRUMENT_NAME: \"CONTEXT CAMERA\"\n",
+ " ... ...\n",
+ " START_TIME: 2022-05-31T22:06:07.945\n",
+ " STOP_TIME: 2022-05-31T22:07:40.191\n",
+ " TARGET_NAME: MARS\n",
+ " _FillValue: 0\n",
+ " scale_factor: 1.0\n",
+ " add_offset: 0.0"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "ctx.edr_da"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "30eb3d0b-17b6-4dde-84da-6eb999c43aaa",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "An updated index is available.\n",
+ "Call `get_index` with `refresh=True` to get the updated version.\n"
+ ]
+ }
+ ],
+ "source": [
+ "from planetarypy.hirise import RGB_NOMAP"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4246e499-fc3f-48d5-83cc-80d0be07df42",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "obsid = \"ESP_039983_1390\""
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "ccbb5d37-f404-4f36-b79b-767972f8444a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "rgb = RGB_NOMAP(obsid)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "76f22727-44a6-4482-a26b-e8762e96f95d",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "File exists. Use `overwrite=True` to download fresh.\n"
+ ]
+ }
+ ],
+ "source": [
+ "rgb.download()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4e68cb06-dd94-4ff8-882b-dc64877ff19c",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "URL('https://hirise-pds.lpl.arizona.edu/PDS/EXTRAS/RDR/ESP/ORB_039900_039999/ESP_039983_1390/ESP_039983_1390_RGB.NOMAP.JP2')"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rgb.url"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "b0eb56ca-5599-47dd-8bc5-df1683a0aa19",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "8c92164753024c758e260ecc60859b8e",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "ESP_039983_1390_RGB.NOMAP.JP2: 0%| | 0/84129800 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "ename": "KeyboardInterrupt",
+ "evalue": "",
+ "output_type": "error",
+ "traceback": [
+ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m Traceback (most recent call last)",
+ "Cell \u001b[0;32mIn[34], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[43mrgb\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdownload\u001b[49m\u001b[43m(\u001b[49m\u001b[43moverwrite\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43;01mTrue\u001b[39;49;00m\u001b[43m)\u001b[49m\n",
+ "File \u001b[0;32m~/mambaforge/envs/py39_pdw2023/lib/python3.9/site-packages/planetarypy/hirise.py:326\u001b[0m, in \u001b[0;36mCOLOR_PRODUCT.download\u001b[0;34m(self, overwrite)\u001b[0m\n\u001b[1;32m 324\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mFile exists. Use `overwrite=True` to download fresh.\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 325\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[0;32m--> 326\u001b[0m \u001b[43murl_retrieve\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43murl\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlocal_path\u001b[49m\u001b[43m)\u001b[49m\n",
+ "File \u001b[0;32m~/mambaforge/envs/py39_pdw2023/lib/python3.9/site-packages/planetarypy/utils.py:216\u001b[0m, in \u001b[0;36murl_retrieve\u001b[0;34m(url, outfile, chunk_size, user, passwd)\u001b[0m\n\u001b[1;32m 208\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mConnectionError\u001b[39;00m(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mCould not download \u001b[39m\u001b[38;5;132;01m{\u001b[39;00murl\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124mError code: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mR\u001b[38;5;241m.\u001b[39mstatus_code\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 209\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m tqdm\u001b[38;5;241m.\u001b[39mwrapattr(\n\u001b[1;32m 210\u001b[0m \u001b[38;5;28mopen\u001b[39m(outfile, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwb\u001b[39m\u001b[38;5;124m\"\u001b[39m),\n\u001b[1;32m 211\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwrite\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 214\u001b[0m desc\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mstr\u001b[39m(Path(outfile)\u001b[38;5;241m.\u001b[39mname),\n\u001b[1;32m 215\u001b[0m ) \u001b[38;5;28;01mas\u001b[39;00m fd:\n\u001b[0;32m--> 216\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m chunk \u001b[38;5;129;01min\u001b[39;00m R\u001b[38;5;241m.\u001b[39miter_content(chunk_size\u001b[38;5;241m=\u001b[39mchunk_size):\n\u001b[1;32m 217\u001b[0m fd\u001b[38;5;241m.\u001b[39mwrite(chunk)\n",
+ "File \u001b[0;32m~/mambaforge/envs/py39_pdw2023/lib/python3.9/site-packages/requests/models.py:816\u001b[0m, in \u001b[0;36mResponse.iter_content..generate\u001b[0;34m()\u001b[0m\n\u001b[1;32m 814\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mhasattr\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mraw, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mstream\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[1;32m 815\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 816\u001b[0m \u001b[38;5;28;01myield from\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mraw\u001b[38;5;241m.\u001b[39mstream(chunk_size, decode_content\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 817\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m ProtocolError \u001b[38;5;28;01mas\u001b[39;00m e:\n\u001b[1;32m 818\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m ChunkedEncodingError(e)\n",
+ "File \u001b[0;32m~/mambaforge/envs/py39_pdw2023/lib/python3.9/site-packages/urllib3/response.py:940\u001b[0m, in \u001b[0;36mHTTPResponse.stream\u001b[0;34m(self, amt, decode_content)\u001b[0m\n\u001b[1;32m 938\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 939\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m is_fp_closed(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fp) \u001b[38;5;129;01mor\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_decoded_buffer) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 940\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mamt\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mdecode_content\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[43mdecode_content\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 942\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m data:\n\u001b[1;32m 943\u001b[0m \u001b[38;5;28;01myield\u001b[39;00m data\n",
+ "File \u001b[0;32m~/mambaforge/envs/py39_pdw2023/lib/python3.9/site-packages/urllib3/response.py:879\u001b[0m, in \u001b[0;36mHTTPResponse.read\u001b[0;34m(self, amt, decode_content, cache_content)\u001b[0m\n\u001b[1;32m 876\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_decoded_buffer) \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m amt:\n\u001b[1;32m 877\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_decoded_buffer\u001b[38;5;241m.\u001b[39mget(amt)\n\u001b[0;32m--> 879\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_raw_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 881\u001b[0m flush_decoder \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m 882\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m amt \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
+ "File \u001b[0;32m~/mambaforge/envs/py39_pdw2023/lib/python3.9/site-packages/urllib3/response.py:814\u001b[0m, in \u001b[0;36mHTTPResponse._raw_read\u001b[0;34m(self, amt)\u001b[0m\n\u001b[1;32m 811\u001b[0m fp_closed \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mgetattr\u001b[39m(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fp, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mclosed\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;28;01mFalse\u001b[39;00m)\n\u001b[1;32m 813\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_error_catcher():\n\u001b[0;32m--> 814\u001b[0m data \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fp_read\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m fp_closed \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;124mb\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m 815\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m amt \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;129;01mand\u001b[39;00m amt \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m data:\n\u001b[1;32m 816\u001b[0m \u001b[38;5;66;03m# Platform-specific: Buggy versions of Python.\u001b[39;00m\n\u001b[1;32m 817\u001b[0m \u001b[38;5;66;03m# Close the connection when no data is returned\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 822\u001b[0m \u001b[38;5;66;03m# not properly close the connection in all cases. There is\u001b[39;00m\n\u001b[1;32m 823\u001b[0m \u001b[38;5;66;03m# no harm in redundantly calling close.\u001b[39;00m\n\u001b[1;32m 824\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fp\u001b[38;5;241m.\u001b[39mclose()\n",
+ "File \u001b[0;32m~/mambaforge/envs/py39_pdw2023/lib/python3.9/site-packages/urllib3/response.py:799\u001b[0m, in \u001b[0;36mHTTPResponse._fp_read\u001b[0;34m(self, amt)\u001b[0m\n\u001b[1;32m 796\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m buffer\u001b[38;5;241m.\u001b[39mgetvalue()\n\u001b[1;32m 797\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 798\u001b[0m \u001b[38;5;66;03m# StringIO doesn't like amt=None\u001b[39;00m\n\u001b[0;32m--> 799\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mamt\u001b[49m\u001b[43m)\u001b[49m \u001b[38;5;28;01mif\u001b[39;00m amt \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m \u001b[38;5;28;01melse\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_fp\u001b[38;5;241m.\u001b[39mread()\n",
+ "File \u001b[0;32m~/mambaforge/envs/py39_pdw2023/lib/python3.9/http/client.py:463\u001b[0m, in \u001b[0;36mHTTPResponse.read\u001b[0;34m(self, amt)\u001b[0m\n\u001b[1;32m 460\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m amt \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[1;32m 461\u001b[0m \u001b[38;5;66;03m# Amount is given, implement using readinto\u001b[39;00m\n\u001b[1;32m 462\u001b[0m b \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mbytearray\u001b[39m(amt)\n\u001b[0;32m--> 463\u001b[0m n \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreadinto\u001b[49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 464\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mmemoryview\u001b[39m(b)[:n]\u001b[38;5;241m.\u001b[39mtobytes()\n\u001b[1;32m 465\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 466\u001b[0m \u001b[38;5;66;03m# Amount is not given (unbounded read) so we must check self.length\u001b[39;00m\n\u001b[1;32m 467\u001b[0m \u001b[38;5;66;03m# and self.chunked\u001b[39;00m\n",
+ "File \u001b[0;32m~/mambaforge/envs/py39_pdw2023/lib/python3.9/http/client.py:507\u001b[0m, in \u001b[0;36mHTTPResponse.readinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m 502\u001b[0m b \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mmemoryview\u001b[39m(b)[\u001b[38;5;241m0\u001b[39m:\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mlength]\n\u001b[1;32m 504\u001b[0m \u001b[38;5;66;03m# we do not use _safe_read() here because this may be a .will_close\u001b[39;00m\n\u001b[1;32m 505\u001b[0m \u001b[38;5;66;03m# connection, and the user is reading more bytes than will be provided\u001b[39;00m\n\u001b[1;32m 506\u001b[0m \u001b[38;5;66;03m# (for example, reading in 1k chunks)\u001b[39;00m\n\u001b[0;32m--> 507\u001b[0m n \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfp\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mreadinto\u001b[49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 508\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m n \u001b[38;5;129;01mand\u001b[39;00m b:\n\u001b[1;32m 509\u001b[0m \u001b[38;5;66;03m# Ideally, we would raise IncompleteRead if the content-length\u001b[39;00m\n\u001b[1;32m 510\u001b[0m \u001b[38;5;66;03m# wasn't satisfied, but it might break compatibility.\u001b[39;00m\n\u001b[1;32m 511\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_close_conn()\n",
+ "File \u001b[0;32m~/mambaforge/envs/py39_pdw2023/lib/python3.9/socket.py:704\u001b[0m, in \u001b[0;36mSocketIO.readinto\u001b[0;34m(self, b)\u001b[0m\n\u001b[1;32m 702\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m 703\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[0;32m--> 704\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sock\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mrecv_into\u001b[49m\u001b[43m(\u001b[49m\u001b[43mb\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 705\u001b[0m \u001b[38;5;28;01mexcept\u001b[39;00m timeout:\n\u001b[1;32m 706\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_timeout_occurred \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mTrue\u001b[39;00m\n",
+ "File \u001b[0;32m~/mambaforge/envs/py39_pdw2023/lib/python3.9/ssl.py:1242\u001b[0m, in \u001b[0;36mSSLSocket.recv_into\u001b[0;34m(self, buffer, nbytes, flags)\u001b[0m\n\u001b[1;32m 1238\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m flags \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m 1239\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[1;32m 1240\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mnon-zero flags not allowed in calls to recv_into() on \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m\n\u001b[1;32m 1241\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m)\n\u001b[0;32m-> 1242\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnbytes\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbuffer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1243\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 1244\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28msuper\u001b[39m()\u001b[38;5;241m.\u001b[39mrecv_into(buffer, nbytes, flags)\n",
+ "File \u001b[0;32m~/mambaforge/envs/py39_pdw2023/lib/python3.9/ssl.py:1100\u001b[0m, in \u001b[0;36mSSLSocket.read\u001b[0;34m(self, len, buffer)\u001b[0m\n\u001b[1;32m 1098\u001b[0m \u001b[38;5;28;01mtry\u001b[39;00m:\n\u001b[1;32m 1099\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m buffer \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n\u001b[0;32m-> 1100\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_sslobj\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mread\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbuffer\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m 1101\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m 1102\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_sslobj\u001b[38;5;241m.\u001b[39mread(\u001b[38;5;28mlen\u001b[39m)\n",
+ "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+ ]
+ }
+ ],
+ "source": [
+ "rgb.download(overwrite=True)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "4fe49f8d-811f-4256-b065-8347a9e0a8a1",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "
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PandasIndex
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+ " 8.5, 9.5,\n",
+ " ...\n",
+ " 2014.5, 2015.5, 2016.5, 2017.5, 2018.5, 2019.5, 2020.5, 2021.5,\n",
+ " 2022.5, 2023.5],\n",
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+ " 7.5, 8.5, 9.5,\n",
+ " ...\n",
+ " 19990.5, 19991.5, 19992.5, 19993.5, 19994.5, 19995.5, 19996.5,\n",
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+ ],
+ "text/plain": [
+ "\n",
+ "dask.array, shape=(3, 20000, 2024), dtype=uint16, chunksize=(1, 2024, 2024), chunktype=numpy.ndarray>\n",
+ "Coordinates:\n",
+ " * band (band) int64 1 2 3\n",
+ " * x (x) float64 0.5 1.5 2.5 3.5 ... 2.022e+03 2.022e+03 2.024e+03\n",
+ " * y (y) float64 0.5 1.5 2.5 3.5 4.5 ... 2e+04 2e+04 2e+04 2e+04\n",
+ " spatial_ref int64 0\n",
+ "Attributes:\n",
+ " scale_factor: 1.0\n",
+ " add_offset: 0.0"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "rgb.read()"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "id": "1e985283-4b3f-4f95-8e00-a895e172616a",
+ "metadata": {},
+ "source": [
+ "# SPICE\n",
+ "## Archived kernels"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a762d690-3e7c-494c-9bf3-5f0af7edfde4",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "from planetarypy.spice import kernels"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "5672432b-3960-494f-9f95-ea6e75fe6b3d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/html": [
+ "\n",
+ "\n",
+ "
\n",
+ " \n",
+ " \n",
+ " | \n",
+ " path | \n",
+ " Mission Name | \n",
+ " PDS3 or PDS4 | \n",
+ " Data Size (GB) | \n",
+ " Start Time | \n",
+ " Stop Time | \n",
+ "
\n",
+ " \n",
+ " shorthand | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ " | \n",
+ "
\n",
+ " \n",
+ " \n",
+ " \n",
+ " bc | \n",
+ " bc/bc_spice | \n",
+ " BepiColombo | \n",
+ " 4 | \n",
+ " 1.1 | \n",
+ " 2018-10-20 | \n",
+ " 2023-01-01 | \n",
+ "
\n",
+ " \n",
+ " cassini | \n",
+ " co-s_j_e_v-spice-6-v1.0/cosp_1000 | \n",
+ " Cassini Orbiter | \n",
+ " 3 | \n",
+ " 62.5 | \n",
+ " 1997-10-15 | \n",
+ " 2017-09-15 | \n",
+ "
\n",
+ " \n",
+ " clementine | \n",
+ " clem1-l-spice-6-v1.0/clsp_1000 | \n",
+ " Clementine | \n",
+ " 3 | \n",
+ " 0.8 | \n",
+ " 1994-01-26 | \n",
+ " 1994-05-07 | \n",
+ "
\n",
+ " \n",
+ " dart | \n",
+ " dart/dart_spice | \n",
+ " DART | \n",
+ " 4 | \n",
+ " 9.1 | \n",
+ " 2021-11-09 | \n",
+ " 2050-01-01 | \n",
+ "
\n",
+ " \n",
+ " dawn | \n",
+ " dawn-m_a-spice-6-v1.0/dawnsp_1000 | \n",
+ " DAWN | \n",
+ " 3 | \n",
+ " 86.4 | \n",
+ " 2007-09-27 | \n",
+ " 2018-10-31 | \n",
+ "
\n",
+ " \n",
+ " di | \n",
+ " di-c-spice-6-v1.0/disp_1000 | \n",
+ " Deep Impact | \n",
+ " 3 | \n",
+ " 0.7 | \n",
+ " 2005-01-12 | \n",
+ " 2005-08-09 | \n",
+ "
\n",
+ " \n",
+ " ds1 | \n",
+ " ds1-a_c-spice-6-v1.0/ds1sp_1000 | \n",
+ " Deep Space 1 | \n",
+ " 3 | \n",
+ " 0.9 | \n",
+ " 1998-10-24 | \n",
+ " 2001-12-18 | \n",
+ "
\n",
+ " \n",
+ " epoxi | \n",
+ " dif-c_e_x-spice-6-v1.0/epxsp_1000 | \n",
+ " EPOXI | \n",
+ " 3 | \n",
+ " 1.0 | \n",
+ " 2005-08-23 | \n",
+ " 2011-03-01 | \n",
+ "
\n",
+ " \n",
+ " em16 | \n",
+ " em16/em16_spice | \n",
+ " ExoMars TGO 2016 | \n",
+ " 4 | \n",
+ " 9.8 | \n",
+ " 2016-03-14 | \n",
+ " 2023-05-21 | \n",
+ "
\n",
+ " \n",
+ " grail | \n",
+ " grail-l-spice-6-v1.0/grlsp_1000 | \n",
+ " GRAIL | \n",
+ " 3 | \n",
+ " 4.3 | \n",
+ " 2011-09-10 | \n",
+ " 2012-12-17 | \n",
+ "
\n",
+ " \n",
+ " hayabusa | \n",
+ " hay-a-spice-6-v1.0/haysp_1000 | \n",
+ " Hayabusa | \n",
+ " 3 | \n",
+ " 0.3 | \n",
+ " 2005-09-11 | \n",
+ " 2005-11-19 | \n",
+ "
\n",
+ " \n",
+ " insight | \n",
+ " insight/insight_spice | \n",
+ " InSight | \n",
+ " 4 | \n",
+ " 0.9 | \n",
+ " 2018-05-05 | \n",
+ " 2022-12-15 | \n",
+ "
\n",
+ " \n",
+ " juno | \n",
+ " jno-j_e_ss-spice-6-v1.0/jnosp_1000 | \n",
+ " JUNO | \n",
+ " 3 | \n",
+ " 47.6 | \n",
+ " 2011-08-05 | \n",
+ " 2022-12-15 | \n",
+ "
\n",
+ " \n",
+ " ladee | \n",
+ " ladee/ladee_spice | \n",
+ " LADEE | \n",
+ " 4 | \n",
+ " 0.6 | \n",
+ " 2013-09-07 | \n",
+ " 2050-01-01 | \n",
+ "
\n",
+ " \n",
+ " lro | \n",
+ " lro-l-spice-6-v1.0/lrosp_1000 | \n",
+ " Lunar Reconnaissance Orbiter | \n",
+ " 3 | \n",
+ " 595.7 | \n",
+ " 2009-06-18 | \n",
+ " 2023-03-15 | \n",
+ "
\n",
+ " \n",
+ " maven | \n",
+ " maven/maven_spice | \n",
+ " MAVEN | \n",
+ " 4 | \n",
+ " 54.4 | \n",
+ " 2013-11-18 | \n",
+ " 2023-04-01 | \n",
+ "
\n",
+ " \n",
+ " opportunity | \n",
+ " mer1-m-spice-6-v1.0/mer1sp_1000 | \n",
+ " MER 1 (Opportunity) | \n",
+ " 3 | \n",
+ " 4.1 | \n",
+ " 2003-07-07 | \n",
+ " 2018-06-10 | \n",
+ "
\n",
+ " \n",
+ " spirit | \n",
+ " mer2-m-spice-6-v1.0/mer2sp_1000 | \n",
+ " MER 2 (Spirit) | \n",
+ " 3 | \n",
+ " 2.6 | \n",
+ " 2003-06-10 | \n",
+ " 2010-05-03 | \n",
+ "
\n",
+ " \n",
+ " messenger | \n",
+ " mess-e_v_h-spice-6-v1.0/messsp_1000 | \n",
+ " MESSENGER | \n",
+ " 3 | \n",
+ " 44.8 | \n",
+ " 2004-08-03 | \n",
+ " 2015-04-30 | \n",
+ "
\n",
+ " \n",
+ " mars2020 | \n",
+ " mars2020/mars2020_spice | \n",
+ " Mars 2020 | \n",
+ " 4 | \n",
+ " 0.6 | \n",
+ " 2020-07-30 | \n",
+ " 2022-12-28 | \n",
+ "
\n",
+ " \n",
+ " mex | \n",
+ " mex-e_m-spice-6-v2.0/mexsp_2000 | \n",
+ " Mars Express | \n",
+ " 3 | \n",
+ " 8.5 | \n",
+ " 2003-06-02 | \n",
+ " 2022-11-30 | \n",
+ "
\n",
+ " \n",
+ " mgs | \n",
+ " mgs-m-spice-6-v1.0/mgsp_1000 | \n",
+ " Mars Global Surveyor | \n",
+ " 3 | \n",
+ " 15.4 | \n",
+ " 1996-11-06 | \n",
+ " 2006-11-02 | \n",
+ "
\n",
+ " \n",
+ " ody | \n",
+ " ody-m-spice-6-v1.0/odsp_1000 | \n",
+ " Mars Odyssey | \n",
+ " 3 | \n",
+ " 33.9 | \n",
+ " 2001-04-07 | \n",
+ " 2023-01-01 | \n",
+ "
\n",
+ " \n",
+ " mro | \n",
+ " mro-m-spice-6-v1.0/mrosp_1000 | \n",
+ " Mars Reconnaissance Orbiter | \n",
+ " 3 | \n",
+ " 314.9 | \n",
+ " 2005-08-12 | \n",
+ " 2023-04-01 | \n",
+ "
\n",
+ " \n",
+ " msl | \n",
+ " msl-m-spice-6-v1.0/mslsp_1000 | \n",
+ " Mars Science Laboratory | \n",
+ " 3 | \n",
+ " 0.6 | \n",
+ " 2011-11-26 | \n",
+ " 2022-11-06 | \n",
+ "
\n",
+ " \n",
+ " near | \n",
+ " near-a-spice-6-v1.0/nearsp_1000 | \n",
+ " NEAR | \n",
+ " 3 | \n",
+ " 2.4 | \n",
+ " 1996-05-30 | \n",
+ " 2001-02-28 | \n",
+ "
\n",
+ " \n",
+ " nh | \n",
+ " nh-j_p_ss-spice-6-v1.0/nhsp_1000 | \n",
+ " New Horizons | \n",
+ " 3 | \n",
+ " 1.6 | \n",
+ " 2006-01-19 | \n",
+ " 2019-12-30 | \n",
+ "
\n",
+ " \n",
+ " orex | \n",
+ " orex/orex_spice | \n",
+ " OSIRIS-REx | \n",
+ " 4 | \n",
+ " 418.4 | \n",
+ " 2016-09-08 | \n",
+ " 2021-02-22 | \n",
+ "
\n",
+ " \n",
+ " rosetta | \n",
+ " ro_rl-e_m_a_c-spice-6-v1.0/rossp_1000 | \n",
+ " Rosetta | \n",
+ " 3 | \n",
+ " 5.9 | \n",
+ " 2004-03-02 | \n",
+ " 2017-01-01 | \n",
+ "
\n",
+ " \n",
+ " stardust | \n",
+ " sdu-c-spice-6-v1.0/sdsp_1000 | \n",
+ " Stardust | \n",
+ " 3 | \n",
+ " 1.9 | \n",
+ " 1999-02-07 | \n",
+ " 2011-05-01 | \n",
+ "
\n",
+ " \n",
+ " venus_climate_orbiter | \n",
+ " vco/vco_spice | \n",
+ " Venus Climate Orbiter | \n",
+ " 4 | \n",
+ " 1.7 | \n",
+ " 2010-05-21 | \n",
+ " 2022-01-01 | \n",
+ "
\n",
+ " \n",
+ " vex | \n",
+ " vex-e_v-spice-6-v2.0/vexsp_2000 | \n",
+ " Venus Express | \n",
+ " 3 | \n",
+ " 5.0 | \n",
+ " 2005-11-09 | \n",
+ " 2015-02-06 | \n",
+ "
\n",
+ " \n",
+ " vo | \n",
+ " vo1_vo2-m-spice-6-v1.0/vosp_1000 | \n",
+ " Viking Orbiter | \n",
+ " 3 | \n",
+ " 0.1 | \n",
+ " 1976-06-16 | \n",
+ " 1980-07-30 | \n",
+ "
\n",
+ " \n",
+ "
\n",
+ "
"
+ ],
+ "text/plain": [
+ " path \\\n",
+ "shorthand \n",
+ "bc bc/bc_spice \n",
+ "cassini co-s_j_e_v-spice-6-v1.0/cosp_1000 \n",
+ "clementine clem1-l-spice-6-v1.0/clsp_1000 \n",
+ "dart dart/dart_spice \n",
+ "dawn dawn-m_a-spice-6-v1.0/dawnsp_1000 \n",
+ "di di-c-spice-6-v1.0/disp_1000 \n",
+ "ds1 ds1-a_c-spice-6-v1.0/ds1sp_1000 \n",
+ "epoxi dif-c_e_x-spice-6-v1.0/epxsp_1000 \n",
+ "em16 em16/em16_spice \n",
+ "grail grail-l-spice-6-v1.0/grlsp_1000 \n",
+ "hayabusa hay-a-spice-6-v1.0/haysp_1000 \n",
+ "insight insight/insight_spice \n",
+ "juno jno-j_e_ss-spice-6-v1.0/jnosp_1000 \n",
+ "ladee ladee/ladee_spice \n",
+ "lro lro-l-spice-6-v1.0/lrosp_1000 \n",
+ "maven maven/maven_spice \n",
+ "opportunity mer1-m-spice-6-v1.0/mer1sp_1000 \n",
+ "spirit mer2-m-spice-6-v1.0/mer2sp_1000 \n",
+ "messenger mess-e_v_h-spice-6-v1.0/messsp_1000 \n",
+ "mars2020 mars2020/mars2020_spice \n",
+ "mex mex-e_m-spice-6-v2.0/mexsp_2000 \n",
+ "mgs mgs-m-spice-6-v1.0/mgsp_1000 \n",
+ "ody ody-m-spice-6-v1.0/odsp_1000 \n",
+ "mro mro-m-spice-6-v1.0/mrosp_1000 \n",
+ "msl msl-m-spice-6-v1.0/mslsp_1000 \n",
+ "near near-a-spice-6-v1.0/nearsp_1000 \n",
+ "nh nh-j_p_ss-spice-6-v1.0/nhsp_1000 \n",
+ "orex orex/orex_spice \n",
+ "rosetta ro_rl-e_m_a_c-spice-6-v1.0/rossp_1000 \n",
+ "stardust sdu-c-spice-6-v1.0/sdsp_1000 \n",
+ "venus_climate_orbiter vco/vco_spice \n",
+ "vex vex-e_v-spice-6-v2.0/vexsp_2000 \n",
+ "vo vo1_vo2-m-spice-6-v1.0/vosp_1000 \n",
+ "\n",
+ " Mission Name PDS3 or PDS4 \\\n",
+ "shorthand \n",
+ "bc BepiColombo 4 \n",
+ "cassini Cassini Orbiter 3 \n",
+ "clementine Clementine 3 \n",
+ "dart DART 4 \n",
+ "dawn DAWN 3 \n",
+ "di Deep Impact 3 \n",
+ "ds1 Deep Space 1 3 \n",
+ "epoxi EPOXI 3 \n",
+ "em16 ExoMars TGO 2016 4 \n",
+ "grail GRAIL 3 \n",
+ "hayabusa Hayabusa 3 \n",
+ "insight InSight 4 \n",
+ "juno JUNO 3 \n",
+ "ladee LADEE 4 \n",
+ "lro Lunar Reconnaissance Orbiter 3 \n",
+ "maven MAVEN 4 \n",
+ "opportunity MER 1 (Opportunity) 3 \n",
+ "spirit MER 2 (Spirit) 3 \n",
+ "messenger MESSENGER 3 \n",
+ "mars2020 Mars 2020 4 \n",
+ "mex Mars Express 3 \n",
+ "mgs Mars Global Surveyor 3 \n",
+ "ody Mars Odyssey 3 \n",
+ "mro Mars Reconnaissance Orbiter 3 \n",
+ "msl Mars Science Laboratory 3 \n",
+ "near NEAR 3 \n",
+ "nh New Horizons 3 \n",
+ "orex OSIRIS-REx 4 \n",
+ "rosetta Rosetta 3 \n",
+ "stardust Stardust 3 \n",
+ "venus_climate_orbiter Venus Climate Orbiter 4 \n",
+ "vex Venus Express 3 \n",
+ "vo Viking Orbiter 3 \n",
+ "\n",
+ " Data Size (GB) Start Time Stop Time \n",
+ "shorthand \n",
+ "bc 1.1 2018-10-20 2023-01-01 \n",
+ "cassini 62.5 1997-10-15 2017-09-15 \n",
+ "clementine 0.8 1994-01-26 1994-05-07 \n",
+ "dart 9.1 2021-11-09 2050-01-01 \n",
+ "dawn 86.4 2007-09-27 2018-10-31 \n",
+ "di 0.7 2005-01-12 2005-08-09 \n",
+ "ds1 0.9 1998-10-24 2001-12-18 \n",
+ "epoxi 1.0 2005-08-23 2011-03-01 \n",
+ "em16 9.8 2016-03-14 2023-05-21 \n",
+ "grail 4.3 2011-09-10 2012-12-17 \n",
+ "hayabusa 0.3 2005-09-11 2005-11-19 \n",
+ "insight 0.9 2018-05-05 2022-12-15 \n",
+ "juno 47.6 2011-08-05 2022-12-15 \n",
+ "ladee 0.6 2013-09-07 2050-01-01 \n",
+ "lro 595.7 2009-06-18 2023-03-15 \n",
+ "maven 54.4 2013-11-18 2023-04-01 \n",
+ "opportunity 4.1 2003-07-07 2018-06-10 \n",
+ "spirit 2.6 2003-06-10 2010-05-03 \n",
+ "messenger 44.8 2004-08-03 2015-04-30 \n",
+ "mars2020 0.6 2020-07-30 2022-12-28 \n",
+ "mex 8.5 2003-06-02 2022-11-30 \n",
+ "mgs 15.4 1996-11-06 2006-11-02 \n",
+ "ody 33.9 2001-04-07 2023-01-01 \n",
+ "mro 314.9 2005-08-12 2023-04-01 \n",
+ "msl 0.6 2011-11-26 2022-11-06 \n",
+ "near 2.4 1996-05-30 2001-02-28 \n",
+ "nh 1.6 2006-01-19 2019-12-30 \n",
+ "orex 418.4 2016-09-08 2021-02-22 \n",
+ "rosetta 5.9 2004-03-02 2017-01-01 \n",
+ "stardust 1.9 1999-02-07 2011-05-01 \n",
+ "venus_climate_orbiter 1.7 2010-05-21 2022-01-01 \n",
+ "vex 5.0 2005-11-09 2015-02-06 \n",
+ "vo 0.1 1976-06-16 1980-07-30 "
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "kernels.datasets"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a269e703-4c2d-4843-a82c-9f6056b2925d",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "['ck/bc_mmo_sc_cruise_v01.bc',\n",
+ " 'ck/bc_mpo_magboom_v01.bc',\n",
+ " 'ck/bc_mtm_sc_cruise_v01.bc',\n",
+ " 'fk/bc_dsk_surfaces_v02.tf',\n",
+ " 'fk/bc_mmo_v11.tf',\n",
+ " 'fk/bc_mpo_v33.tf',\n",
+ " 'fk/bc_mtm_v11.tf',\n",
+ " 'fk/bc_sci_v12.tf',\n",
+ " 'fk/earth_topo_201023.tf',\n",
+ " 'fk/estrack_v04.tf',\n",
+ " 'fk/rssd0002.tf',\n",
+ " 'ik/bc_mmo_mppe_v04.ti',\n",
+ " 'ik/bc_mmo_msasi_v03.ti',\n",
+ " 'ik/bc_mpo_aux_v01.ti',\n",
+ " 'ik/bc_mpo_bela_v07.ti',\n",
+ " 'ik/bc_mpo_mertis_v08.ti',\n",
+ " 'ik/bc_mpo_mgns_v02.ti',\n",
+ " 'ik/bc_mpo_mixs_v06.ti',\n",
+ " 'ik/bc_mpo_phebus_v06.ti',\n",
+ " 'ik/bc_mpo_serena_v08.ti',\n",
+ " 'ik/bc_mpo_simbio-sys_v09.ti',\n",
+ " 'ik/bc_mpo_sixs_v08.ti',\n",
+ " 'ik/bc_mpo_str_v02.ti',\n",
+ " 'ik/bc_mtm_mcam_v05.ti',\n",
+ " 'lsk/naif0012.tls',\n",
+ " 'pck/earth_000101_230328_230102.bpc',\n",
+ " 'pck/gm_de431.tpc',\n",
+ " 'pck/pck00010.tpc',\n",
+ " 'sclk/bc_mmo_fict_20170228.tsc',\n",
+ " 'sclk/bc_mpo_fict_20181127.tsc',\n",
+ " 'sclk/bc_mpo_step_20221229.tsc',\n",
+ " 'spk/bc_mmo_cruise_v01.bsp',\n",
+ " 'spk/bc_mmo_struct_v01.bsp',\n",
+ " 'spk/bc_mpo_cog_v03.bsp',\n",
+ " 'spk/bc_mpo_struct_v08.bsp',\n",
+ " 'spk/bc_mtm_cruise_v01.bsp',\n",
+ " 'spk/bc_mtm_struct_v06.bsp',\n",
+ " 'spk/bc_sci_v02.bsp',\n",
+ " 'spk/de432s.bsp',\n",
+ " 'spk/earthstns_itrf93_201023.bsp',\n",
+ " 'spk/estrack_v04.bsp']"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "kernels.list_kernels_for_day('bc', '2019-01-01')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "33018f2f-4036-42e1-af2d-516981e9f767",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "5080d64cc2f14fed9f5e5adaa8f8a447",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Kernels downloaded: 0%| | 0/50 [00:00, ?it/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "ck msl_ra_toolsref_v1.bc locally available.\n",
+ "ck msl_surf_hga_tlm_2579_2713_v1.bc locally available.\n",
+ "ck msl_surf_ra_tlmenc_2579_2713_v1.bc locally available.\n",
+ "ck msl_surf_ra_tlmres_2579_2713_v1.bc locally available.\n",
+ "ck msl_surf_rover_tlm_2579_2713_v1.bc locally available.\n",
+ "ck msl_surf_rsm_tlmenc_2579_2713_v1.bc locally available.\n",
+ "ck msl_surf_rsm_tlmres_2579_2713_v1.bc locally available.\n",
+ "fk msl_v08.tf locally available.\n",
+ "ik msl_aux_v00.ti locally available.\n",
+ "ik msl_chrmi_20120731_c03.ti locally available.\n",
+ "ik msl_hbla_20120731_c03.ti locally available.\n",
+ "ik msl_hblb_20120731_c03.ti locally available.\n",
+ "ik msl_hbra_20120731_c03.ti locally available.\n",
+ "ik msl_hbrb_20120731_c03.ti locally available.\n",
+ "ik msl_hfla_20120731_c03.ti locally available.\n",
+ "ik msl_hflb_20120731_c03.ti locally available.\n",
+ "ik msl_hfra_20120731_c03.ti locally available.\n",
+ "ik msl_hfrb_20120731_c03.ti locally available.\n",
+ "ik msl_mahli_20120731_c02.ti locally available.\n",
+ "ik msl_mardi_20120731_c02.ti locally available.\n",
+ "ik msl_ml_20120731_c03.ti locally available.\n",
+ "ik msl_mr_20120731_c03.ti locally available.\n",
+ "ik msl_nla_20120731_c04.ti locally available.\n",
+ "ik msl_nlb_20130530_c05.ti locally available.\n",
+ "ik msl_nra_20120731_c04.ti locally available.\n",
+ "ik msl_nrb_20130530_c05.ti locally available.\n",
+ "ik msl_struct_v01.ti locally available.\n",
+ "lsk naif0012.tls locally available.\n",
+ "pck pck00008.tpc locally available.\n",
+ "sclk msl_76_sclkscet_refit_s6.tsc locally available.\n",
+ "sclk msl_lmst_ops120808_v1.tsc locally available.\n",
+ "spk de425s.bsp locally available.\n",
+ "spk mar085s.bsp locally available.\n",
+ "spk msl_ls_ops120808_iau2000_v1.bsp locally available.\n",
+ "spk msl_struct_v02.bsp locally available.\n",
+ "spk msl_surf_rover_loc_0000_2003_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_2003_2127_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_2127_2224_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_2224_2358_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_2358_2482_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_2482_2579_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_2579_2713_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_2713_2837_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_2837_2934_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_2934_3068_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_3068_3192_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_3192_3289_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_3289_3423_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_3423_3547_v1.bsp locally available.\n",
+ "spk msl_surf_rover_loc_3547_3644_v1.bsp locally available.\n"
+ ]
+ }
+ ],
+ "source": [
+ "mkpath = kernels.get_metakernel_and_files('msl', '2020-01-01', '2020-01-05')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "1b00f761-48af-43b3-a89a-d46c4294c63a",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "import spiceypy as spice"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a2bfdc8a-a4e4-47f9-b933-92d34084429f",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "spice.furnsh(str(mkpath))"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f80c0419-71cd-4d15-8ce8-a1e6590ba17f",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "Path('/Users/maye/planetarypy_data/spice_kernels/msl/msl_v32_200101_200105.tm')"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "mkpath"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "7937ebff-0c18-471d-8311-ce2ed2baf7cf",
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "KPL/MK\n",
+ "\n",
+ " This meta-kernel lists a subset of kernels from the meta-kernel\n",
+ " msl_v32.tm provided in the MSL-M-SPICE-6-V1.0 SPICE PDS3 archive,\n",
+ " covering the whole or a part of the customer requested time period\n",
+ " from 2020-01-01T00:00:00.000 to 2020-01-05T00:00:00.000.\n",
+ "\n",
+ " The documentation describing these kernels can be found in the\n",
+ " complete MSL-M-SPICE-6-V1.0 SPICE PDS3 archive available at this URL\n",
+ "\n",
+ " https://naif.jpl.nasa.gov/pub/naif/pds/data/msl-m-spice-6-v1.0/mslsp_1000\n",
+ "\n",
+ " To use this meta-kernel users may need to modify the value of the\n",
+ " PATH_VALUES keyword to point to the actual location of the archive's\n",
+ " ``data'' directory on their system. Replacing ``/'' with ``\\''\n",
+ " and converting line terminators to the format native to the user's\n",
+ " system may also be required if this meta-kernel is to be used on a\n",
+ " non-UNIX workstation.\n",
+ "\n",
+ " This meta-kernel was created by the NAIF node's SPICE PDS archive\n",
+ " subsetting service version 2.1 on Tue Jun 27 09:31:30 PDT 2023.\n",
+ "\n",
+ " \n",
+ " \\begindata\n",
+ " \n",
+ " PATH_VALUES = (\n",
+ " '/Users/maye/planetarypy_data/spice_kernels/msl'\n",
+ " )\n",
+ " \n",
+ " PATH_SYMBOLS = (\n",
+ " 'KERNELS'\n",
+ " )\n",
+ " \n",
+ " KERNELS_TO_LOAD = (\n",
+ " '$KERNELS/lsk/naif0012.tls'\n",
+ " '$KERNELS/pck/pck00008.tpc'\n",
+ " '$KERNELS/sclk/msl_lmst_ops120808_v1.tsc'\n",
+ " '$KERNELS/sclk/msl_76_sclkscet_refit_s6.tsc'\n",
+ " '$KERNELS/fk/msl_v08.tf'\n",
+ " '$KERNELS/ik/msl_aux_v00.ti'\n",
+ " '$KERNELS/ik/msl_chrmi_20120731_c03.ti'\n",
+ " '$KERNELS/ik/msl_hbla_20120731_c03.ti'\n",
+ " '$KERNELS/ik/msl_hblb_20120731_c03.ti'\n",
+ " '$KERNELS/ik/msl_hbra_20120731_c03.ti'\n",
+ " '$KERNELS/ik/msl_hbrb_20120731_c03.ti'\n",
+ " '$KERNELS/ik/msl_hfla_20120731_c03.ti'\n",
+ " '$KERNELS/ik/msl_hflb_20120731_c03.ti'\n",
+ " '$KERNELS/ik/msl_hfra_20120731_c03.ti'\n",
+ " '$KERNELS/ik/msl_hfrb_20120731_c03.ti'\n",
+ " '$KERNELS/ik/msl_mahli_20120731_c02.ti'\n",
+ " '$KERNELS/ik/msl_mardi_20120731_c02.ti'\n",
+ " '$KERNELS/ik/msl_ml_20120731_c03.ti'\n",
+ " '$KERNELS/ik/msl_mr_20120731_c03.ti'\n",
+ " '$KERNELS/ik/msl_nla_20120731_c04.ti'\n",
+ " '$KERNELS/ik/msl_nlb_20130530_c05.ti'\n",
+ " '$KERNELS/ik/msl_nra_20120731_c04.ti'\n",
+ " '$KERNELS/ik/msl_nrb_20130530_c05.ti'\n",
+ " '$KERNELS/ik/msl_struct_v01.ti'\n",
+ " '$KERNELS/spk/msl_struct_v02.bsp'\n",
+ " '$KERNELS/spk/de425s.bsp'\n",
+ " '$KERNELS/spk/mar085s.bsp'\n",
+ " '$KERNELS/spk/msl_ls_ops120808_iau2000_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_0000_2003_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_2003_2127_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_2127_2224_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_2224_2358_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_2358_2482_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_2482_2579_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_2579_2713_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_2713_2837_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_2837_2934_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_2934_3068_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_3068_3192_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_3192_3289_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_3289_3423_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_3423_3547_v1.bsp'\n",
+ " '$KERNELS/spk/msl_surf_rover_loc_3547_3644_v1.bsp'\n",
+ " '$KERNELS/ck/msl_ra_toolsref_v1.bc'\n",
+ " '$KERNELS/ck/msl_surf_hga_tlm_2579_2713_v1.bc'\n",
+ " '$KERNELS/ck/msl_surf_ra_tlmenc_2579_2713_v1.bc'\n",
+ " '$KERNELS/ck/msl_surf_ra_tlmres_2579_2713_v1.bc'\n",
+ " '$KERNELS/ck/msl_surf_rover_tlm_2579_2713_v1.bc'\n",
+ " '$KERNELS/ck/msl_surf_rsm_tlmenc_2579_2713_v1.bc'\n",
+ " '$KERNELS/ck/msl_surf_rsm_tlmres_2579_2713_v1.bc'\n",
+ " )\n",
+ " \n",
+ " \\begintext\n",
+ " \n",
+ "\n"
+ ]
+ }
+ ],
+ "source": [
+ "!cat {mkpath}"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "558660c5-f70b-4196-aad7-0ef968d1bb8c",
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "conda-env-py39_pdw2023-py",
+ "language": "python",
+ "name": "conda-env-py39_pdw2023-py"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/notebooks/tutorials/spice_howtos.ipynb b/notebooks/tutorials/spice_howtos.ipynb
index f451d29..fe7d0bc 100644
--- a/notebooks/tutorials/spice_howtos.ipynb
+++ b/notebooks/tutorials/spice_howtos.ipynb
@@ -27,7 +27,7 @@
"from astropy import units as u\n",
"from numpy.linalg import norm\n",
"\n",
- "from planetarypy.spice.spicer import MoonSpicer"
+ "from planetarypy.spice.spicer import MoonSpicer, MarsSpicer"
]
},
{
@@ -130,6 +130,30 @@
"moon.F_flat"
]
},
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "89e4de0a-6666-4d94-be80-92cb49ede408",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/latex": [
+ "$449.48514 \\; \\mathrm{\\frac{W}{m^{2}}}$"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "moon.F_aspect"
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
@@ -252,14 +276,214 @@
"id": "2b031942-e4cf-4b50-93cf-839d6b2febb6",
"metadata": {},
"outputs": [],
+ "source": [
+ "mars = MarsSpicer()"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "6c6604bc-7b22-4d1d-91f2-b1c65ced4293",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "'2023-06-27T18:37:50.876055'"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "mars.utc"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "28f74fc3-a514-42b4-8a63-4d26e06e1510",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "83.31658188802474"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "mars.l_s"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "008a65b2-b576-44e2-8791-a55128d73c2e",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "mars.goto('inca')"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "ac3c28c4-fb32-48dc-987b-67883b5162fb",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/plain": [
+ "(220.09830399469547, -440.60853011059214, -3340.5081261541495)"
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "mars.spoint"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "a81c102e-5701-4c85-92ab-e44b8c56b71d",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "mars.aspect=180\n",
+ "mars.tilt=30"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e467885d-a57b-4dd8-a3f9-c0a3d54d45b6",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/latex": [
+ "$0 \\; \\mathrm{\\frac{W}{m^{2}}}$"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "mars.F_flat"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "d75386f1-8c3d-4fae-8db2-7d4baa60f8c2",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/latex": [
+ "$0 \\; \\mathrm{\\frac{W}{m^{2}}}$"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "mars.F_aspect"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "f3ee6a0c-c2ff-4e9e-83ae-cb825a81dc46",
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "mars.set_spoint_by(lat=0, lon=0)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e30d64ee-f7ee-46d7-b9cf-3a447bd55958",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/latex": [
+ "$339.2043 \\; \\mathrm{\\frac{W}{m^{2}}}$"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "mars.F_flat"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "e069b261-5acd-4db6-a6df-de5fc078bae3",
+ "metadata": {},
+ "outputs": [
+ {
+ "data": {
+ "text/latex": [
+ "$397.92501 \\; \\mathrm{\\frac{W}{m^{2}}}$"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "execution_count": null,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "mars.F_tilt"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "id": "cbab5bf0-7f6d-4a96-9775-0d686fdca622",
+ "metadata": {},
+ "outputs": [],
"source": []
}
],
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- "display_name": "python3",
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+ "name": "conda-env-py39_pdw2023-py"
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