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notebooks/Get_amda_tao_datasets.ipynb 3.69 KB
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{
 "cells": [
  {
   "cell_type": "code",
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   "execution_count": 1,
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   "id": "52949b59-f206-410f-92fa-265bb161aaf2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from speasy import amda"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 2,
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   "id": "8506952c-8f5d-47b1-97e8-f0c3450b0b34",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "start_date = '20221201'\n",
    "stop_date = '20221215'\n",
    "# tao_mercury_sw_dataset =  amda.get_dataset('tao-mercury-sw', start_date, stop_date)\n",
    "# so_pas_momgr1_sw_dataset =  amda.get_dataset('so-pas-momgr1', start_date, stop_date)\n",
    "tao_mars_dsc_dataset =  amda.get_dataset('tao-mars-dsc', start_date, stop_date)\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 10,
   "id": "0fc5f3a7-c5be-4c72-a2ad-512126b42e30",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'speasy.products.dataset.Dataset'>\n",
      "                     mars_dsc_n\n",
      "2022-12-01 00:00:00     2.79690\n",
      "2022-12-01 01:00:00     2.29837\n",
      "2022-12-01 02:00:00     2.12798\n",
      "2022-12-01 03:00:00     2.20450\n",
      "2022-12-01 04:00:00     2.62385\n",
      "...                         ...\n",
      "2022-12-14 19:00:00     3.03795\n",
      "2022-12-14 20:00:00     4.44247\n",
      "2022-12-14 21:00:00     4.67082\n",
      "2022-12-14 22:00:00     4.38174\n",
      "2022-12-14 23:00:00     3.85952\n",
      "\n",
      "[336 rows x 1 columns]\n"
     ]
    }
   ],
   "source": [
    "print(type(tao_mars_dsc_dataset))\n",
    "tao_mars_dsc_density =  tao_mars_dsc_dataset['density']\n",
    "print(tao_mars_dsc_density.to_dataframe())\n",
    "# for v in tao_mars_dsc_dataset.variables.keys():\n",
    "#     print(type(v))\n"
   ]
  },
  {
   "cell_type": "code",
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   "execution_count": 4,
   "id": "63cda766-930e-4014-94fb-a23ca527c5b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "density\n",
      "velocity\n",
      "temperature\n",
      "dynamic pressure\n",
      "b tangential\n",
      "b radial\n",
      "angle Mars-Sun-Earth\n"
     ]
    }
   ],
   "source": [
    "for k in tao_mars_dsc_dataset.variables.keys():\n",
    "    print(k)\n",
    "# print(so_pas_momgr1_sw_dataset.variables)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "61f3aed2-abd1-46a1-a86b-31e0ed5498d0",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "382151f8-4d73-43df-a855-02a8a0f7b5ab",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                               pas_mom_n\n",
      "2023-02-01 00:00:03.421999872        NaN\n",
      "2023-02-01 00:00:07.421999872        NaN\n",
      "2023-02-01 00:00:11.421999872        NaN\n",
      "2023-02-01 00:00:15.421999872        5.6\n",
      "2023-02-01 00:00:19.421999872        5.7\n"
     ]
    }
   ],
   "source": [
    "print(my_df.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7b3ebc65-a98a-4100-ae67-8925f34e7ca1",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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