wtbarnes/eui-ar-movie.ipynb

## eui-ar-movie.ipynb
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0c9533b2-728e-4218-8485-85e625ecac06",
   "metadata": {},
   "outputs": [],
   "source": [
    "import glob\n",
    "\n",
    "from sunpy.net import Fido,attrs\n",
    "import sunpy.map\n",
    "import sunpy_soar\n",
    "import astropy.units as u\n",
    "import astropy.time\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "b5c7ce2b-cbb7-42ac-afb6-26ae8c87f674",
   "metadata": {},
   "outputs": [],
   "source": [
    "t_start = astropy.time.Time('2022-03-30 00:03:00')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a55ec520-219f-46b8-b48b-f630a59b4b3e",
   "metadata": {},
   "outputs": [],
   "source": [
    "q = Fido.search(\n",
    "    attrs.Time(t_start, t_start+48*u.minute),\n",
    "    attrs.Level(2),\n",
    "    attrs.soar.Product('EUI-HRIEUV174-IMAGE'),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "067f4004-c5db-4d6b-ab3e-c871167cbec6",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "58d80c60110a43a9b28d4524a6195968",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Files Downloaded:   0%|          | 0/90 [00:00<?, ?file/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4d4c98742d37491886ad906b78e8f68b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000430192_V01.fits:   0%|          | 0.00/5.96M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a953b331ad03416d9432198cf63a5fee",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000330193_V01.fits:   0%|          | 0.00/5.96M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fc230560b8424d78b40f15b1f467bcef",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000300194_V01.fits:   0%|          | 0.00/5.96M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "214e883615994c95a16e05b11f8d4577",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000500192_V01.fits:   0%|          | 0.00/5.98M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5b7aa5a80fb04193bf1d6fb1a9c8fe53",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000400193_V01.fits:   0%|          | 0.00/5.95M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2c3bb278739643c9bcb51297a085694a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000530212_V01.fits:   0%|          | 0.00/5.98M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a3c43c217048485ab60ef80103bbc204",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000600193_V01.fits:   0%|          | 0.00/6.02M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1dc030286d3e45b48453ff75118dbd91",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000630193_V01.fits:   0%|          | 0.00/6.02M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "99c3fb862c304a2091a2c7e35a7fc71c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000700193_V01.fits:   0%|          | 0.00/6.02M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "189d835abf414783946835df418a7722",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000730193_V01.fits:   0%|          | 0.00/6.04M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0f698361b7514533af741d5d5446482c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000800193_V01.fits:   0%|          | 0.00/6.00M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5d1895a413b246bd85c0cb6259e877dd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000830193_V01.fits:   0%|          | 0.00/5.98M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d3997729f6854c2688a395b4faf99818",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000900193_V01.fits:   0%|          | 0.00/6.03M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1c48e18d52394466a574d2a79dd21ef5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T000930209_V01.fits:   0%|          | 0.00/6.02M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e0dbfe59b58d4eccacf6c09933f59fdc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001000194_V01.fits:   0%|          | 0.00/6.05M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5a3ec4e8308c4a65b04f8b6efa299b92",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001100193_V01.fits:   0%|          | 0.00/6.08M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ec2e075907714d55a74f4c2c9905e9bd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001030222_V01.fits:   0%|          | 0.00/6.02M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9fb2086ece8c41c28170589e12b7d49c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001130206_V01.fits:   0%|          | 0.00/5.06M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "7591fe48a46a4681ac30616535b87116",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001200193_V01.fits:   0%|          | 0.00/5.96M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "09a03ef25e4642558ed680f920da3e1a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001230208_V01.fits:   0%|          | 0.00/5.78M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1a79322e11d0469687288292229eb9d3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001300194_V01.fits:   0%|          | 0.00/5.35M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4405223a09fe455fba5b10e9c68b37a9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001330222_V01.fits:   0%|          | 0.00/5.07M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "06ce653ab7f5476eaea10422c62f05c0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001400194_V01.fits:   0%|          | 0.00/5.64M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "74c267f257534ca09117c0523758b09a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001430221_V01.fits:   0%|          | 0.00/5.52M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9125fca0fd7d460f8c8ee00b3b6678ee",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001500194_V01.fits:   0%|          | 0.00/5.39M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3382656fa1c748519e1638ef911da949",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001530194_V01.fits:   0%|          | 0.00/5.60M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a1d6c94b44d64be4a074b8af27010c52",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001600194_V01.fits:   0%|          | 0.00/5.12M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8c357bcf3c404c0ab7cc5dde9a4e969b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001630206_V01.fits:   0%|          | 0.00/5.08M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b968e79b9854452d98bebb7e6557cb47",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001700194_V01.fits:   0%|          | 0.00/5.68M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e37632a74bb945ea97523d4433f6e07c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001730194_V01.fits:   0%|          | 0.00/5.91M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a37b730a72c342c8b928fb228c1fc762",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001800200_V01.fits:   0%|          | 0.00/5.77M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "15e2dafd634a4c54ad9f8edcf74827a8",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001830200_V01.fits:   0%|          | 0.00/6.15M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b38c4dbe10d44cf8af0a007c02e6bb91",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001900200_V01.fits:   0%|          | 0.00/6.15M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "302a34bfcee14feb93736e445b5cb12e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T001930200_V01.fits:   0%|          | 0.00/6.10M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "acf402f30da0411faa6f894181929c57",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002000201_V01.fits:   0%|          | 0.00/5.99M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "44339cad00ae41ccbe79a30447ba6084",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002030201_V01.fits:   0%|          | 0.00/6.10M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "486317fcbe624e40a9efe8fa148f26d0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002100201_V01.fits:   0%|          | 0.00/6.06M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bc69b8a2352b4fe187a251fe23953aa6",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002130201_V01.fits:   0%|          | 0.00/5.99M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "ec42e45cf68b405796f016a978a96b07",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002200201_V01.fits:   0%|          | 0.00/6.03M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e42f5fb5d71547f08fabfbd4dbff3db7",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002230201_V01.fits:   0%|          | 0.00/6.02M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f0b165b5906649409b11f03b6708a198",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002300201_V01.fits:   0%|          | 0.00/6.04M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "be36b39f16ad47eaabe79db0d3c48287",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002330201_V01.fits:   0%|          | 0.00/6.06M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "0fdb7472595c455abab42c3f4c90111b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002400201_V01.fits:   0%|          | 0.00/6.05M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "fdafd87434b6456da7a890ca689d61e2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002430201_V01.fits:   0%|          | 0.00/6.03M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "79b42ea9072a4d87a3564a19418ae8f3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002500201_V01.fits:   0%|          | 0.00/5.71M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "69d544b2108248c6aead71ec56efb831",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002530201_V01.fits:   0%|          | 0.00/5.38M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b896ccb3d025449ea2f6d82bf7084485",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002630201_V01.fits:   0%|          | 0.00/5.66M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2c4c53c4689d49d19c5da411d26586cb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002600201_V01.fits:   0%|          | 0.00/5.78M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5947dd59a7164cfd9345b56d0148d82f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002700200_V01.fits:   0%|          | 0.00/5.63M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6fe2b785225a444e921942b2b98a3181",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002730201_V01.fits:   0%|          | 0.00/6.02M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "bdc1948197ec4e838ff07caecbffee73",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002800202_V01.fits:   0%|          | 0.00/5.97M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e614b97d24e44e04bebd1db7350a616b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002830201_V01.fits:   0%|          | 0.00/5.88M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "d858dec1810840219a200f9c6db94c6a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002900202_V01.fits:   0%|          | 0.00/5.91M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2ea14a41497b4aafa47275a02115b461",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T002930202_V01.fits:   0%|          | 0.00/6.03M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "00e1b928839749788767587c10adee3b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003000202_V01.fits:   0%|          | 0.00/6.04M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "2f74006542f24577a0cc7b57a5c7ace5",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003030202_V01.fits:   0%|          | 0.00/5.77M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "48182f589d7a4f80975146defefe4197",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003100202_V01.fits:   0%|          | 0.00/5.88M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "5ebd228d1e7b41ff8e42e84d451e868a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003130232_V01.fits:   0%|          | 0.00/5.97M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a81b5952057f4e25adddd36a5655f7c1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003200202_V01.fits:   0%|          | 0.00/5.99M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "43cf6d5f1dde402fba44f13fff5da8cd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003230202_V01.fits:   0%|          | 0.00/5.95M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "99574ed70c55400da44743cd070f8bae",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003300202_V01.fits:   0%|          | 0.00/5.91M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "00e720b8c0164dcd92f320cc6f97fe8a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003330202_V01.fits:   0%|          | 0.00/5.88M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4a3ecbc8497a44cfa5c2df65f691c04d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003400202_V01.fits:   0%|          | 0.00/5.91M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1ef3287b414c41c6b8b0c114752b835e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003430202_V01.fits:   0%|          | 0.00/5.92M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "84c89595190c4be7a026684792fd8cb3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003500202_V01.fits:   0%|          | 0.00/5.89M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "43400cdcca154538852f775b0ab5558d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003530202_V01.fits:   0%|          | 0.00/5.92M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "38b5f51b8d9d4d3a8c5c6cd457b60279",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003600202_V01.fits:   0%|          | 0.00/5.91M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "aaed0fff423b4a79a98025772e7c85b3",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003630202_V01.fits:   0%|          | 0.00/5.88M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "783b7b5c3baa418ea74516eb01d7989f",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003700201_V01.fits:   0%|          | 0.00/5.89M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b6793b7f34574edb85606018983a3e65",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003730202_V01.fits:   0%|          | 0.00/5.89M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "747e7784e96e4dff836b3f4bb84fff2e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003800202_V01.fits:   0%|          | 0.00/5.85M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4eaf280159964264ab4221c3a44bf3dc",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003830202_V01.fits:   0%|          | 0.00/5.82M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cf9fd1aeb3274f9583eac291d458f61d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003900203_V01.fits:   0%|          | 0.00/5.97M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "58c338f8478946e3ae0aeb0070823ef2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T003930203_V01.fits:   0%|          | 0.00/6.07M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "cacb25c7406e43749a42cf0638dcd381",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004000203_V01.fits:   0%|          | 0.00/6.15M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b0e633e38d8145318ab3e4e7da36f330",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004030203_V01.fits:   0%|          | 0.00/5.93M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "78c0d912c2ae47288068c2e7665a417d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004100203_V01.fits:   0%|          | 0.00/5.83M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dbb45c95b51c485a8dae8bfaaa652235",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004130203_V01.fits:   0%|          | 0.00/5.79M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "dc93dc2c946a4f2ba54e3c33fe092669",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004200203_V01.fits:   0%|          | 0.00/5.97M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a7872139c1e2407cb3bb8ed13561798d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004230203_V01.fits:   0%|          | 0.00/6.12M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6ae7ddb554f84dfa9044c47f9001667d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004300203_V01.fits:   0%|          | 0.00/5.97M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f1e45a5b31da4c12b3d676320cdaf71b",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004330203_V01.fits:   0%|          | 0.00/5.91M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "a72a2340e3ae405089b13c573384096a",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004400203_V01.fits:   0%|          | 0.00/6.04M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "738132b415d142f2a8221113caefbb66",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004430203_V01.fits:   0%|          | 0.00/6.07M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "650a2b2b5839457583a40799ce87caa2",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004500203_V01.fits:   0%|          | 0.00/5.07M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "782ae5a803034a99b4a354bfd9eca3bb",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004530203_V01.fits:   0%|          | 0.00/5.14M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "3c52b461eeb1407dbe91bc2b14dfb373",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004600203_V01.fits:   0%|          | 0.00/5.07M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "df7b178d154c41d1b163d105e8237ca1",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004630202_V01.fits:   0%|          | 0.00/5.06M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9cd30674870f4154a27191300a8ef225",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004700204_V01.fits:   0%|          | 0.00/5.39M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "497adfca1cdc42c6a08d432d0bd83708",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "solo_L2_eui-hrieuv174-image_20220330T004730204_V01.fits:   0%|          | 0.00/5.36M [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "files = Fido.fetch(q[0][::-1][::10], path='data/EUI_HRI/')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8a944df2-d0f7-4074-ae39-71fa1a9c4a07",
   "metadata": {},
   "outputs": [],
   "source": [
    "m_eui_seq = sunpy.map.Map(sorted(glob.glob('data/EUI_HRI/*.fits')), sequence=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e4aa45f7-92ec-4a89-9029-890beed0c8ea",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x2949dc340>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "m_eui_seq[15].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "72407c73-5f2c-4e02-b70b-7ac9d6deee31",
   "metadata": {},
   "outputs": [
    {
     "ename": "ModuleNotFoundError",
     "evalue": "No module named 'ipympl'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mModuleNotFoundError\u001b[0m                       Traceback (most recent call last)",
      "Cell \u001b[0;32mIn [36], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m get_ipython()\u001b[38;5;241m.\u001b[39mrun_line_magic(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mmatplotlib\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mwidget\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m      2\u001b[0m m_eui_seq\u001b[38;5;241m.\u001b[39mpeek()\n",
      "File \u001b[0;32m~/mambaforge/envs/sunpy-frontiers-paper/lib/python3.10/site-packages/IPython/core/interactiveshell.py:2309\u001b[0m, in \u001b[0;36mInteractiveShell.run_line_magic\u001b[0;34m(self, magic_name, line, _stack_depth)\u001b[0m\n\u001b[1;32m   2307\u001b[0m     kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlocal_ns\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_local_scope(stack_depth)\n\u001b[1;32m   2308\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbuiltin_trap:\n\u001b[0;32m-> 2309\u001b[0m     result \u001b[38;5;241m=\u001b[39m \u001b[43mfn\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   2310\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m result\n",
      "File \u001b[0;32m~/mambaforge/envs/sunpy-frontiers-paper/lib/python3.10/site-packages/IPython/core/magics/pylab.py:99\u001b[0m, in \u001b[0;36mPylabMagics.matplotlib\u001b[0;34m(self, line)\u001b[0m\n\u001b[1;32m     97\u001b[0m     \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAvailable matplotlib backends: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m backends_list)\n\u001b[1;32m     98\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m---> 99\u001b[0m     gui, backend \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mshell\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43menable_matplotlib\u001b[49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgui\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mlower\u001b[49m\u001b[43m(\u001b[49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01mif\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[38;5;28;43misinstance\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgui\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mstr\u001b[39;49m\u001b[43m)\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43;01melse\u001b[39;49;00m\u001b[43m \u001b[49m\u001b[43margs\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mgui\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    100\u001b[0m     \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_show_matplotlib_backend(args\u001b[38;5;241m.\u001b[39mgui, backend)\n",
      "File \u001b[0;32m~/mambaforge/envs/sunpy-frontiers-paper/lib/python3.10/site-packages/IPython/core/interactiveshell.py:3473\u001b[0m, in \u001b[0;36mInteractiveShell.enable_matplotlib\u001b[0;34m(self, gui)\u001b[0m\n\u001b[1;32m   3469\u001b[0m         \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mWarning: Cannot change to a different GUI toolkit: \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m.\u001b[39m\u001b[38;5;124m'\u001b[39m\n\u001b[1;32m   3470\u001b[0m                 \u001b[38;5;124m'\u001b[39m\u001b[38;5;124m Using \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m instead.\u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m%\u001b[39m (gui, \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpylab_gui_select))\n\u001b[1;32m   3471\u001b[0m         gui, backend \u001b[38;5;241m=\u001b[39m pt\u001b[38;5;241m.\u001b[39mfind_gui_and_backend(\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mpylab_gui_select)\n\u001b[0;32m-> 3473\u001b[0m \u001b[43mpt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mactivate_matplotlib\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbackend\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   3474\u001b[0m configure_inline_support(\u001b[38;5;28mself\u001b[39m, backend)\n\u001b[1;32m   3476\u001b[0m \u001b[38;5;66;03m# Now we must activate the gui pylab wants to use, and fix %run to take\u001b[39;00m\n\u001b[1;32m   3477\u001b[0m \u001b[38;5;66;03m# plot updates into account\u001b[39;00m\n",
      "File \u001b[0;32m~/mambaforge/envs/sunpy-frontiers-paper/lib/python3.10/site-packages/IPython/core/pylabtools.py:359\u001b[0m, in \u001b[0;36mactivate_matplotlib\u001b[0;34m(backend)\u001b[0m\n\u001b[1;32m    354\u001b[0m \u001b[38;5;66;03m# Due to circular imports, pyplot may be only partially initialised\u001b[39;00m\n\u001b[1;32m    355\u001b[0m \u001b[38;5;66;03m# when this function runs.\u001b[39;00m\n\u001b[1;32m    356\u001b[0m \u001b[38;5;66;03m# So avoid needing matplotlib attribute-lookup to access pyplot.\u001b[39;00m\n\u001b[1;32m    357\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m \u001b[38;5;28;01mimport\u001b[39;00m pyplot \u001b[38;5;28;01mas\u001b[39;00m plt\n\u001b[0;32m--> 359\u001b[0m \u001b[43mplt\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mswitch_backend\u001b[49m\u001b[43m(\u001b[49m\u001b[43mbackend\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    361\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow\u001b[38;5;241m.\u001b[39m_needmain \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mFalse\u001b[39;00m\n\u001b[1;32m    362\u001b[0m \u001b[38;5;66;03m# We need to detect at runtime whether show() is called by the user.\u001b[39;00m\n\u001b[1;32m    363\u001b[0m \u001b[38;5;66;03m# For this, we wrap it into a decorator which adds a 'called' flag.\u001b[39;00m\n",
      "File \u001b[0;32m~/mambaforge/envs/sunpy-frontiers-paper/lib/python3.10/site-packages/matplotlib/pyplot.py:264\u001b[0m, in \u001b[0;36mswitch_backend\u001b[0;34m(newbackend)\u001b[0m\n\u001b[1;32m    261\u001b[0m         rcParamsOrig[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbackend\u001b[39m\u001b[38;5;124m\"\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124magg\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    262\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m\n\u001b[0;32m--> 264\u001b[0m backend_mod \u001b[38;5;241m=\u001b[39m \u001b[43mimportlib\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mimport_module\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    265\u001b[0m \u001b[43m    \u001b[49m\u001b[43mcbook\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_backend_module_name\u001b[49m\u001b[43m(\u001b[49m\u001b[43mnewbackend\u001b[49m\u001b[43m)\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    266\u001b[0m canvas_class \u001b[38;5;241m=\u001b[39m backend_mod\u001b[38;5;241m.\u001b[39mFigureCanvas\n\u001b[1;32m    268\u001b[0m required_framework \u001b[38;5;241m=\u001b[39m _get_required_interactive_framework(backend_mod)\n",
      "File \u001b[0;32m~/mambaforge/envs/sunpy-frontiers-paper/lib/python3.10/importlib/__init__.py:126\u001b[0m, in \u001b[0;36mimport_module\u001b[0;34m(name, package)\u001b[0m\n\u001b[1;32m    124\u001b[0m             \u001b[38;5;28;01mbreak\u001b[39;00m\n\u001b[1;32m    125\u001b[0m         level \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m1\u001b[39m\n\u001b[0;32m--> 126\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43m_bootstrap\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_gcd_import\u001b[49m\u001b[43m(\u001b[49m\u001b[43mname\u001b[49m\u001b[43m[\u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m:\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mpackage\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlevel\u001b[49m\u001b[43m)\u001b[49m\n",
      "File \u001b[0;32m<frozen importlib._bootstrap>:1050\u001b[0m, in \u001b[0;36m_gcd_import\u001b[0;34m(name, package, level)\u001b[0m\n",
      "File \u001b[0;32m<frozen importlib._bootstrap>:1027\u001b[0m, in \u001b[0;36m_find_and_load\u001b[0;34m(name, import_)\u001b[0m\n",
      "File \u001b[0;32m<frozen importlib._bootstrap>:992\u001b[0m, in \u001b[0;36m_find_and_load_unlocked\u001b[0;34m(name, import_)\u001b[0m\n",
      "File \u001b[0;32m<frozen importlib._bootstrap>:241\u001b[0m, in \u001b[0;36m_call_with_frames_removed\u001b[0;34m(f, *args, **kwds)\u001b[0m\n",
      "File \u001b[0;32m<frozen importlib._bootstrap>:1050\u001b[0m, in \u001b[0;36m_gcd_import\u001b[0;34m(name, package, level)\u001b[0m\n",
      "File \u001b[0;32m<frozen importlib._bootstrap>:1027\u001b[0m, in \u001b[0;36m_find_and_load\u001b[0;34m(name, import_)\u001b[0m\n",
      "File \u001b[0;32m<frozen importlib._bootstrap>:1004\u001b[0m, in \u001b[0;36m_find_and_load_unlocked\u001b[0;34m(name, import_)\u001b[0m\n",
      "\u001b[0;31mModuleNotFoundError\u001b[0m: No module named 'ipympl'"
     ]
    }
   ],
   "source": [
    "m_eui_seq.peek()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "65cf7a64-21a9-4aa2-a750-8f9fecd3abd2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python [conda env:sunpy-frontiers-paper]",
   "language": "python",
   "name": "conda-env-sunpy-frontiers-paper-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}

## eui-ar-tracking.ipynb

      
Display the source blob

    
Display the rendered blob

    
    Raw
  

              eui-ar-tracking.ipynb
            
          
      Sorry, something went wrong. Reload?
      Sorry, we cannot display this file.
      Sorry, this file is invalid so it cannot be displayed.
      
          Viewer requires iframe.