{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n"
],
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"%%html\n",
""
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"import datetime\n",
"import pprint\n",
"import pyaurorax\n",
"import cartopy.crs\n",
"\n",
"aurorax = pyaurorax.PyAuroraX()\n",
"at = aurorax.tools"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Step 1 - download and read necessary data"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "8381c9082771408688b5f784eecd1934",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"Downloading THEMIS_ASI_RAW files: 0%| | 0.00/1.85M [00:00"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# plot mosaic\n",
"map_extent = [-145, -65, 35, 80]\n",
"mosaic.plot(map_extent, title=\"THEMIS ASI - %s\" % (mosaic_dt.strftime(\"%Y-%m-%d %H:%M:%S\")))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "pyaurorax39",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.19"
}
},
"nbformat": 4,
"nbformat_minor": 2
}