{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "6bd56b4e",
   "metadata": {},
   "source": [
    "1. Load 1993-04_uv_multilevel_dhourmean.grib\n",
    "2. Select meridional wind (v) and save as v\n",
    "3. Done in cdo: Select time period for April 1-30 1993\n",
    "4. Calculate hourly average for the period resulting only 24 times over MC for 6 layers of meridional wind\n",
    "5. Plot cross-section over southern coast of Java, select representable land-breeze and sea-breeze"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "b16e45ed",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:42.264785Z",
     "start_time": "2022-02-25T13:44:38.613946Z"
    }
   },
   "outputs": [],
   "source": [
    "import metview as mv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2e28c5d2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:42.275029Z",
     "start_time": "2022-02-25T13:44:42.267769Z"
    }
   },
   "outputs": [],
   "source": [
    "uv = mv.read('/home/amuttaqin/ERA5/uv_multilevel/1993-04_uv_multilevel_dhourmean.grib')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "105ac9b6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:42.651278Z",
     "start_time": "2022-02-25T13:44:42.276804Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "                <tr><th>parameter</th><th>typeOfLevel</th><th>level</th><th>date</th><th>time</th><th>step</th><th>number</th><th>paramId</th><th>class</th><th>stream</th><th>type</th><th>experimentVersionNumber</th></tr>\n",
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      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uv.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "9093af26",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:42.739705Z",
     "start_time": "2022-02-25T13:44:42.654341Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "  \n",
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      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uv.describe('u')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "178ba83f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:42.751130Z",
     "start_time": "2022-02-25T13:44:42.741257Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "  \n",
       "                <table>\n",
       "                <tr></tr>\n",
       "                <tr><th style='text-align: right;'>shortName</th><td style='text-align: left;'>v</td></tr><tr><th style='text-align: right;'>name</th><td style='text-align: left;'>V component of wind</td></tr><tr><th style='text-align: right;'>paramId</th><td style='text-align: left;'>132</td></tr><tr><th style='text-align: right;'>units</th><td style='text-align: left;'>m s**-1</td></tr><tr><th style='text-align: right;'>typeOfLevel</th><td style='text-align: left;'>isobaricInhPa</td></tr><tr><th style='text-align: right;'>level</th><td style='text-align: left;'>500,700,850,900,950,1000</td></tr><tr><th style='text-align: right;'>date</th><td style='text-align: left;'>19930401</td></tr><tr><th style='text-align: right;'>time</th><td style='text-align: left;'>0</td></tr><tr><th style='text-align: right;'>step</th><td style='text-align: left;'>696,697,698,699,700,701,702,703,704,705,706,707,708,709,710,711,712,713,714,715,716,717,718,719</td></tr><tr><th style='text-align: right;'>number</th><td style='text-align: left;'>None</td></tr><tr><th style='text-align: right;'>class</th><td style='text-align: left;'>None</td></tr><tr><th style='text-align: right;'>stream</th><td style='text-align: left;'>None</td></tr><tr><th style='text-align: right;'>type</th><td style='text-align: left;'>None</td></tr><tr><th style='text-align: right;'>experimentVersionNumber</th><td style='text-align: left;'>None</td></tr>\n",
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     },
     "execution_count": 5,
     "metadata": {},
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    }
   ],
   "source": [
    "uv.describe('v')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "9f31fe53",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:43.146789Z",
     "start_time": "2022-02-25T13:44:42.752618Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_7am = mv.read(data = uv, step = 696)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0277e397",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:43.333594Z",
     "start_time": "2022-02-25T13:44:43.148319Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_8am = mv.read(data = uv, step = 697)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "31f35302",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:43.520545Z",
     "start_time": "2022-02-25T13:44:43.334945Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_9am = mv.read(data = uv, step = 698)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b31c5330",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:43.707499Z",
     "start_time": "2022-02-25T13:44:43.521870Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_10am = mv.read(data = uv, step = 699)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "6ebd3513",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:43.904379Z",
     "start_time": "2022-02-25T13:44:43.709820Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_11am = mv.read(data = uv, step = 700)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b9c21376",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:44.100513Z",
     "start_time": "2022-02-25T13:44:43.905629Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_12pm = mv.read(data = uv, step = 701)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "746c2133",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:44.287530Z",
     "start_time": "2022-02-25T13:44:44.101797Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_1pm = mv.read(data = uv, step = 702)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "9c18abd2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:44.484522Z",
     "start_time": "2022-02-25T13:44:44.288858Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_2pm = mv.read(data = uv, step = 703)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fbc5dc3b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:44.680496Z",
     "start_time": "2022-02-25T13:44:44.485868Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_3pm = mv.read(data = uv, step = 704)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "575ad7b6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:44.877543Z",
     "start_time": "2022-02-25T13:44:44.681805Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_4pm = mv.read(data = uv, step = 705)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "913c7f6f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:45.074536Z",
     "start_time": "2022-02-25T13:44:44.878870Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_5pm = mv.read(data = uv, step = 706)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7bb60d4e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:45.311429Z",
     "start_time": "2022-02-25T13:44:45.075883Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_6pm = mv.read(data = uv, step = 707)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "97c3409e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:45.507310Z",
     "start_time": "2022-02-25T13:44:45.312785Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_7pm = mv.read(data = uv, step = 708)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "e0f1f48a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:45.703438Z",
     "start_time": "2022-02-25T13:44:45.508634Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_8pm = mv.read(data = uv, step = 709)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "4c088c8b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:45.901307Z",
     "start_time": "2022-02-25T13:44:45.704764Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_9pm = mv.read(data = uv, step = 710)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "97c099d6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:46.097489Z",
     "start_time": "2022-02-25T13:44:45.902651Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_10pm = mv.read(data = uv, step = 711)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3d9f5791",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:46.293500Z",
     "start_time": "2022-02-25T13:44:46.098801Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_11pm = mv.read(data = uv, step = 712)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "dec334e7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:46.490533Z",
     "start_time": "2022-02-25T13:44:46.294877Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_12am = mv.read(data = uv, step = 713)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "662a08c8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:46.687325Z",
     "start_time": "2022-02-25T13:44:46.491842Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_1am = mv.read(data = uv, step = 714)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "20c05249",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:46.885558Z",
     "start_time": "2022-02-25T13:44:46.688641Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_2am = mv.read(data = uv, step = 715)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "1ee12a86",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:47.082437Z",
     "start_time": "2022-02-25T13:44:46.886818Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_3am = mv.read(data = uv, step = 716)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "11b8ec2b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:47.279509Z",
     "start_time": "2022-02-25T13:44:47.083780Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_4am = mv.read(data = uv, step = 717)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "b2a7f69d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:47.476541Z",
     "start_time": "2022-02-25T13:44:47.282142Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_5am = mv.read(data = uv, step = 718)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "40ebd97a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:47.672539Z",
     "start_time": "2022-02-25T13:44:47.477859Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_6am = mv.read(data = uv, step = 719)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "4a1879eb",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:48.494081Z",
     "start_time": "2022-02-25T13:44:47.673887Z"
    }
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mv.setoutput(\"jupyter\", plot_widget=False, output_width=800)\n",
    "\n",
    "my_view = mv.geoview(\n",
    "    map_area_definition=\"CORNERS\",\n",
    "    area=[-7,94,6,107])\n",
    "\n",
    "my_coast = mv.mcoast(\n",
    "    map_coastline_colour=\"charcoal\",\n",
    "    map_coastline_resolution=\"medium\",\n",
    "    map_coastline_land_shade=\"off\",\n",
    "    map_coastline_land_shade_colour=\"beige\",\n",
    "    map_coastline_sea_shade=\"on\",\n",
    "    map_coastline_sea_shade_colour=\"RGB(127,205,255)\",\n",
    "    map_grid_line_style=\"dot\",\n",
    "    map_label_height=0.35)\n",
    "\n",
    "my_title = mv.mtext(\n",
    "    text_font_size=0.7,\n",
    "    text_lines=[\"Line section for land-sea breeze analysis: SW coast of Sumatera\"])\n",
    "\n",
    "latPos = [5.4, 4.8, 2.0]\n",
    "lonPos = [95.2, 95.5, 96.0]\n",
    "incr = 1\n",
    "\n",
    "line_graph = mv.mgraph(\n",
    "    graph_type         = \"curve\",\n",
    "    graph_line_colour  = \"pink\",\n",
    "    graph_line_thickness = 7)\n",
    "\n",
    "mv.plot(\n",
    "    my_view, \n",
    "    my_coast, \n",
    "    mv.mcont(contour_automatic_setting='ecmwf', legend='off'), \n",
    "    mv.mvl_geopolyline(latPos, lonPos, incr),\n",
    "    line_graph,\n",
    "    my_title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "643ac285",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:49.007618Z",
     "start_time": "2022-02-25T13:44:48.495899Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mv.setoutput(\"jupyter\", plot_widget=False, output_width=800)\n",
    "\n",
    "my_view = mv.geoview(\n",
    "    map_area_definition=\"CORNERS\",\n",
    "    area=[-12,90,12,160])\n",
    "\n",
    "my_coast = mv.mcoast(\n",
    "    map_coastline_colour=\"charcoal\",\n",
    "    map_coastline_resolution=\"medium\",\n",
    "    map_coastline_land_shade=\"off\",\n",
    "    map_coastline_land_shade_colour=\"beige\",\n",
    "    map_coastline_sea_shade=\"on\",\n",
    "    map_coastline_sea_shade_colour=\"RGB(127,205,255)\",\n",
    "    map_grid_line_style=\"dot\",\n",
    "    map_label_height=0.35)\n",
    "\n",
    "my_title = mv.mtext(\n",
    "    text_font_size=0.7,\n",
    "    text_lines=[\"Line section for land-sea breeze analysis: SW coast of Sumatera\"])\n",
    "\n",
    "#line = [-7.2,106,-8.6,114] # S, W, N, E --> Southern coast of Java\n",
    "\n",
    "line_sum1 = [5.3, 95.2, -6.0, 104.5]\n",
    "line_sum2 = [-3, 106, -5.5, 106]\n",
    "\n",
    "line_jav1 = [-7.2, 106, -8.6, 114]\n",
    "\n",
    "#line_bor1 = []\n",
    "\n",
    "line_graph = mv.mgraph(\n",
    "    graph_type         = \"curve\",\n",
    "    graph_line_colour  = \"pink\",\n",
    "    graph_line_thickness = 7)\n",
    "\n",
    "mv.plot(\n",
    "    my_view, \n",
    "    my_coast, \n",
    "    mv.mcont(contour_automatic_setting='ecmwf', legend='off'), \n",
    "    mv.mvl_geoline(*line_sum1,1),\n",
    "    mv.mvl_geoline(*line_sum2,1),\n",
    "    mv.mvl_geoline(*line_jav1,1),\n",
    "    line_graph,\n",
    "    my_title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "c3778f47",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:49.050258Z",
     "start_time": "2022-02-25T13:44:49.009189Z"
    }
   },
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'line' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[0;32m/tmp/ipykernel_2101100/3248894282.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m     21\u001b[0m     \u001b[0mbottom_level\u001b[0m     \u001b[0;34m=\u001b[0m \u001b[0;36m1000.0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     22\u001b[0m     \u001b[0mtop_level\u001b[0m        \u001b[0;34m=\u001b[0m \u001b[0;36m500\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 23\u001b[0;31m     \u001b[0mline\u001b[0m             \u001b[0;34m=\u001b[0m \u001b[0mline\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     24\u001b[0m     \u001b[0mvertical_scaling\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m\"log\"\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     25\u001b[0m     \u001b[0mvertical_axis\u001b[0m    \u001b[0;34m=\u001b[0m \u001b[0mvertical_axis\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mNameError\u001b[0m: name 'line' is not defined"
     ]
    }
   ],
   "source": [
    "vertical_axis = mv.maxis(\n",
    "    axis_orientation        = \"vertical\",\n",
    "    axis_type               = \"position_list\",\n",
    "    axis_tick_position_list = [1000, 950, 900, 850, 700, 500],\n",
    "    axis_tick_label_height  = 0.5,\n",
    "    axis_title              = \"on\",\n",
    "    axis_title_text         = \"Pressure level (hPa)\",\n",
    "    axis_title_height       = 0.5,\n",
    ")\n",
    "\n",
    "horizontal_axis = mv.maxis(\n",
    "    axis_orientation        = \"horizontal\",\n",
    "    axis_tick_label_height  = 0.5,\n",
    "    axis_title              = \"on\",\n",
    "    axis_title_text         = \"Latitude/Longitude\",\n",
    "    axis_title_height       = 0.5,\n",
    "    axis_tick_position      = \"out\",\n",
    ")\n",
    "\n",
    "xs_view = mv.mxsectview(\n",
    "    bottom_level     = 1000.0,\n",
    "    top_level        = 500,\n",
    "    line             = line,\n",
    "    vertical_scaling = \"log\",\n",
    "    vertical_axis    = vertical_axis,\n",
    "    horizontal_axis  = horizontal_axis,\n",
    "    wind_parallel      = \"off\",\n",
    "    wind_perpendicular = \"on\",\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "d8d0ea2d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-02-25T13:44:49.051482Z",
     "start_time": "2022-02-25T13:44:49.051469Z"
    }
   },
   "outputs": [],
   "source": [
    "xs_shade = mv.mcont(\n",
    "    legend                         = \"on\",\n",
    "    contour_line_style             = \"dash\",\n",
    "    contour_line_colour            = \"charcoal\",\n",
    "    contour_highlight              = \"off\",\n",
    "    contour_max_level              = 2.6,\n",
    "    contour_min_level              = -2.6,\n",
    "    contour_level_count            = 15,\n",
    "    contour_label                  = \"off\",\n",
    "    contour_shade                  = \"on\",\n",
    "    contour_shade_method           = \"area_fill\",\n",
    "    contour_shade_max_level_colour = \"red\",\n",
    "    contour_shade_min_level_colour = \"blue\",\n",
    "    contour_shade_colour_direction = \"clockwise\"\n",
    "    )\n",
    "\n",
    "my_legend = mv.mlegend(\n",
    "    legend_display_type         = \"continuous\",\n",
    "    legend_text_font_size       = 0.5,\n",
    "    legend_text_colour          = \"black\",\n",
    "    legend_title                = \"on\",\n",
    "    legend_title_text           = \"Wind speed [m/s] at 6 am\", \n",
    "    legend_title_position       = \"right\",\n",
    "    legend_title_position_ratio = 25,\n",
    ")\n",
    "\n",
    "empty_title = mv.mtext(text_line_count = 0)\n",
    "\n",
    "mv.setoutput(\"jupyter\", output_font_size=1.2, plot_widget=False, output_width=900)\n",
    "mv.plot(xs_view, uv_6am, xs_shade, my_legend, empty_title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "40eb01bf",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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