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    "tags": []
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   "outputs": [],
   "source": [
    "!test -f tropical_cyclone.bufr || wget https://get.ecmwf.int/repository/test-data/pdbufr/test-data/tropical_cyclone.bufr"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "# Generic: tropical cyclone track"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pdbufr"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {
    "editable": true,
    "raw_mimetype": "text/restructuredtext",
    "slideshow": {
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   "source": [
    "The input BUFR data contains ensemble forecast of tropical cyclone tracks each message representing a storm. The messages consist of compressed subsets (one subset per ensemble member).\n",
    "\n",
    "In this notebook we read this data with the :ref:`generic reader <generic-reader>`, which is the default reader."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "#### Example 1\n",
    "\n",
    "Extracting the list of storm identifiers:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['27W', '70E', '71W'], dtype=object)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pdbufr.read_bufr(\"tropical_cyclone.bufr\", \n",
    "    columns=(\"stormIdentifier\"))\n",
    "df[\"stormIdentifier\"].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
    },
    "tags": []
   },
   "source": [
    "#### Example 2\n",
    "\n",
    "Getting a track with pressure for a given storm and ensemble member: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "editable": true,
    "slideshow": {
     "slide_type": ""
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   },
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "\n",
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       "    .dataframe thead th {\n",
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       "    }\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>stormIdentifier</th>\n",
       "      <th>ensembleMemberNumber</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>pressureReducedToMeanSeaLevel</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>70E</td>\n",
       "      <td>1</td>\n",
       "      <td>11.3</td>\n",
       "      <td>-126.0</td>\n",
       "      <td>100400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>70E</td>\n",
       "      <td>1</td>\n",
       "      <td>11.6</td>\n",
       "      <td>-125.2</td>\n",
       "      <td>100400.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>70E</td>\n",
       "      <td>1</td>\n",
       "      <td>11.3</td>\n",
       "      <td>-125.8</td>\n",
       "      <td>100300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>70E</td>\n",
       "      <td>1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>70E</td>\n",
       "      <td>1</td>\n",
       "      <td>10.8</td>\n",
       "      <td>-126.0</td>\n",
       "      <td>100200.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  stormIdentifier  ensembleMemberNumber  latitude  longitude  \\\n",
       "0             70E                     1      11.3     -126.0   \n",
       "1             70E                     1      11.6     -125.2   \n",
       "2             70E                     1      11.3     -125.8   \n",
       "3             70E                     1       NaN        NaN   \n",
       "4             70E                     1      10.8     -126.0   \n",
       "\n",
       "   pressureReducedToMeanSeaLevel  \n",
       "0                       100400.0  \n",
       "1                       100400.0  \n",
       "2                       100300.0  \n",
       "3                            NaN  \n",
       "4                       100200.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pdbufr.read_bufr(\"tropical_cyclone.bufr\", \n",
    "    columns=(\"stormIdentifier\", \"ensembleMemberNumber\", \"latitude\", \"longitude\",\n",
    "             \"pressureReducedToMeanSeaLevel\"),\n",
    "    filters={\"stormIdentifier\": \"70E\", \"ensembleMemberNumber\": 1})\n",
    "df.head()"
   ]
  }
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