{
 "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": "2022-03-03T17:49:36.035692Z",
     "start_time": "2022-03-03T17:49:29.596797Z"
    }
   },
   "outputs": [],
   "source": [
    "import metview as mv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2e28c5d2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:36.200907Z",
     "start_time": "2022-03-03T17:49:36.037532Z"
    }
   },
   "outputs": [],
   "source": [
    "uv = mv.read('/home/amuttaqin/ERA5/uv_multilevel/1993-04_uv_multilevel_dhourmean.grib')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "f38bdf3b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:36.246032Z",
     "start_time": "2022-03-03T17:49:36.202052Z"
    }
   },
   "outputs": [],
   "source": [
    "blh = mv.read('/home/amuttaqin/ERA5/pbl_height/1993-04_blh_dhourmean.grib')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "b7a37225",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:36.315718Z",
     "start_time": "2022-03-03T17:49:36.247488Z"
    }
   },
   "outputs": [],
   "source": [
    "sshf = mv.read('/home/amuttaqin/ERA5-Land/sshf/1993-04_sshf_dhourmean.grib')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "ba201e61",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:36.938875Z",
     "start_time": "2022-03-03T17:49:36.318495Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "                <tr></tr>\n",
       "                <tr><th style='text-align: right;'>shortName</th><td style='text-align: left;'>sshf</td></tr><tr><th style='text-align: right;'>name</th><td style='text-align: left;'>Surface sensible heat flux</td></tr><tr><th style='text-align: right;'>paramId</th><td style='text-align: left;'>146</td></tr><tr><th style='text-align: right;'>units</th><td style='text-align: left;'>J m**-2</td></tr><tr><th style='text-align: right;'>typeOfLevel</th><td style='text-align: left;'>surface</td></tr><tr><th style='text-align: right;'>level</th><td style='text-align: left;'>0</td></tr><tr><th style='text-align: right;'>date</th><td style='text-align: left;'>19930331,19930430</td></tr><tr><th style='text-align: right;'>time</th><td style='text-align: left;'>0,100,200,400,500,700,800,1000,1100,1300,1400,1600,1700,1900,2000,2200,2300</td></tr><tr><th style='text-align: right;'>step</th><td style='text-align: left;'>720,723,726,729,732,735,738,741,0</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": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sshf.describe('sshf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "105ac9b6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:37.212566Z",
     "start_time": "2022-03-03T17:49:36.940061Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "                <tr><th style='text-align: right;'>u</th><td style='text-align: left;'>isobaricInhPa</td><td style='text-align: left;'>500,700,...</td><td style='text-align: left;'>19930401</td><td style='text-align: left;'>0</td><td style='text-align: left;'>696,697,...</td><td style='text-align: left;'>None</td><td style='text-align: left;'>131</td><td style='text-align: left;'>None</td><td style='text-align: left;'>None</td><td style='text-align: left;'>None</td><td style='text-align: left;'>None</td></tr><tr><th style='text-align: right;'>v</th><td style='text-align: left;'>isobaricInhPa</td><td style='text-align: left;'>500,700,...</td><td style='text-align: left;'>19930401</td><td style='text-align: left;'>0</td><td style='text-align: left;'>696,697,...</td><td style='text-align: left;'>None</td><td style='text-align: left;'>132</td><td style='text-align: left;'>None</td><td style='text-align: left;'>None</td><td style='text-align: left;'>None</td><td style='text-align: left;'>None</td></tr>\n",
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      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uv.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "9093af26",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:37.221639Z",
     "start_time": "2022-03-03T17:49:37.213742Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "  \n",
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   ],
   "source": [
    "uv.describe('u')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "178ba83f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:37.230398Z",
     "start_time": "2022-03-03T17:49:37.222716Z"
    }
   },
   "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": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "uv.describe('v')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9f31fe53",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:37.761243Z",
     "start_time": "2022-03-03T17:49:37.231444Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_7am = mv.read(data = uv, step = 696)\n",
    "blh_7am = mv.read(data = blh, step = 696)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "0277e397",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:38.076248Z",
     "start_time": "2022-03-03T17:49:37.763629Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_8am = mv.read(data = uv, step = 697)\n",
    "blh_8am = mv.read(data = blh, step = 697)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "31f35302",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:38.392031Z",
     "start_time": "2022-03-03T17:49:38.077533Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_9am = mv.read(data = uv, step = 698)\n",
    "blh_9am = mv.read(data = blh, step = 698)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b31c5330",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:38.715965Z",
     "start_time": "2022-03-03T17:49:38.393396Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_10am = mv.read(data = uv, step = 699)\n",
    "blh_10am = mv.read(data = blh, step = 699)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "6ebd3513",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:39.081984Z",
     "start_time": "2022-03-03T17:49:38.717319Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_11am = mv.read(data = uv, step = 700)\n",
    "blh_11am = mv.read(data = blh, step = 700)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "b9c21376",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:39.446119Z",
     "start_time": "2022-03-03T17:49:39.083335Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_12pm = mv.read(data = uv, step = 701)\n",
    "blh_12am = mv.read(data = blh, step = 701)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "746c2133",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:39.811317Z",
     "start_time": "2022-03-03T17:49:39.447474Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_1pm = mv.read(data = uv, step = 702)\n",
    "blh_1pm = mv.read(data = blh, step = 702)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "9c18abd2",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:40.175089Z",
     "start_time": "2022-03-03T17:49:39.812621Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_2pm = mv.read(data = uv, step = 703)\n",
    "blh_2pm = mv.read(data = blh, step = 703)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "fbc5dc3b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:40.539276Z",
     "start_time": "2022-03-03T17:49:40.176504Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_3pm = mv.read(data = uv, step = 704)\n",
    "blh_3pm = mv.read(data = blh, step = 704)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "575ad7b6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:40.904093Z",
     "start_time": "2022-03-03T17:49:40.540634Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_4pm = mv.read(data = uv, step = 705)\n",
    "blh_4pm = mv.read(data = blh, step = 705)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "913c7f6f",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:41.272087Z",
     "start_time": "2022-03-03T17:49:40.905479Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_5pm = mv.read(data = uv, step = 706)\n",
    "blh_5pm = mv.read(data = blh, step = 706)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7bb60d4e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:41.636142Z",
     "start_time": "2022-03-03T17:49:41.273425Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_6pm = mv.read(data = uv, step = 707)\n",
    "blh_6pm = mv.read(data = blh, step = 707)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "97c3409e",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:42.002296Z",
     "start_time": "2022-03-03T17:49:41.637462Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_7pm = mv.read(data = uv, step = 708)\n",
    "blh_7pm = mv.read(data = blh, step = 708)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "e0f1f48a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:42.369288Z",
     "start_time": "2022-03-03T17:49:42.003673Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_8pm = mv.read(data = uv, step = 709)\n",
    "blh_8pm = mv.read(data = blh, step = 709)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "4c088c8b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:42.738456Z",
     "start_time": "2022-03-03T17:49:42.370773Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_9pm = mv.read(data = uv, step = 710)\n",
    "blh_9pm = mv.read(data = blh, step = 710)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "97c099d6",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:43.064223Z",
     "start_time": "2022-03-03T17:49:42.739898Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_10pm = mv.read(data = uv, step = 711)\n",
    "blh_10pm = mv.read(data = blh, step = 711)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "3d9f5791",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:43.388373Z",
     "start_time": "2022-03-03T17:49:43.065586Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_11pm = mv.read(data = uv, step = 712)\n",
    "blh_11pm = mv.read(data = blh, step = 712)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "dec334e7",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:43.713312Z",
     "start_time": "2022-03-03T17:49:43.389753Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_12am = mv.read(data = uv, step = 713)\n",
    "blh_12am = mv.read(data = blh, step = 713)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "662a08c8",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:44.038258Z",
     "start_time": "2022-03-03T17:49:43.714801Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_1am = mv.read(data = uv, step = 714)\n",
    "blh_1am = mv.read(data = blh, step = 714)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "20c05249",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:44.363312Z",
     "start_time": "2022-03-03T17:49:44.041012Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_2am = mv.read(data = uv, step = 715)\n",
    "blh_2am = mv.read(data = blh, step = 715)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "1ee12a86",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:44.690219Z",
     "start_time": "2022-03-03T17:49:44.364657Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_3am = mv.read(data = uv, step = 716)\n",
    "blh_3am = mv.read(data = blh, step = 716)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "11b8ec2b",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:45.016164Z",
     "start_time": "2022-03-03T17:49:44.691781Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_4am = mv.read(data = uv, step = 717)\n",
    "blh_4am = mv.read(data = blh, step = 717)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "b2a7f69d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:45.343119Z",
     "start_time": "2022-03-03T17:49:45.017696Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_5am = mv.read(data = uv, step = 718)\n",
    "blh_5am = mv.read(data = blh, step = 718)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "40ebd97a",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:45.666239Z",
     "start_time": "2022-03-03T17:49:45.344632Z"
    }
   },
   "outputs": [],
   "source": [
    "uv_6am = mv.read(data = uv, step = 719)\n",
    "blh_6am = mv.read(data = blh, step = 719)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "643ac285",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:49:48.299798Z",
     "start_time": "2022-03-03T17:49:45.667754Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 33,
     "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=[-8,92,10,110])\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 transects for land-sea breeze analysis: western part of MC\"])\n",
    "\n",
    "line_sum1 = [3.0, 95.5, 8.2, 101.5]\n",
    "line_sum2 = [1.0, 97.0, 6.5, 103.5]\n",
    "line_sum3 = [-1.8, 98.5, 3.3, 104.5]\n",
    "line_sum4 = [-3.8, 100.2, 0.5, 105.5]\n",
    "line_sum5 = [-5.6, 101.9, -1.5, 107.0]\n",
    "\n",
    "line_graph = mv.mgraph(\n",
    "    graph_type         = \"curve\",\n",
    "    graph_line_colour  = \"pink\",\n",
    "    graph_line_thickness = 10)\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_sum3,1),\n",
    "    mv.mvl_geoline(*line_sum4,1),\n",
    "    mv.mvl_geoline(*line_sum5,1),\n",
    "    line_graph,\n",
    "    my_title,\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "d8d0ea2d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2022-03-03T17:51:48.884490Z",
     "start_time": "2022-03-03T17:51:48.119581Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mv.setoutput(\"jupyter\", output_font_size=1.2, plot_widget=False, output_width=900)\n",
    "\n",
    "horizontal_axis = mv.maxis(\n",
    "    axis_orientation        = \"horizontal\",\n",
    "    axis_tick_label_height  = 0.5,\n",
    "    axis_title              = \"off\",\n",
    "    axis_title_text         = \"Latitude/Longitude\",\n",
    "    axis_title_height       = 0.5,\n",
    "    axis_tick_position      = \"out\",\n",
    ")\n",
    "\n",
    "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              = \"off\",\n",
    "    axis_title_text         = \"Pressure level (hPa)\",\n",
    "    axis_title_height       = 0.5,\n",
    ")\n",
    "\n",
    "xs_view = mv.mxsectview(\n",
    "    bottom_level     = 1000.0,\n",
    "    top_level        = 500,\n",
    "    line             = line_sum5,\n",
    "    vertical_scaling = \"log\",\n",
    "    vertical_axis    = vertical_axis,\n",
    "    horizontal_axis  = horizontal_axis,\n",
    "    wind_parallel      = \"on\",\n",
    "    wind_perpendicular = \"off\",\n",
    ")\n",
    "\n",
    "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              = 3.2,\n",
    "    contour_min_level              = -3.2,\n",
    "    contour_level_count            = 15,\n",
    "    contour_label                  = \"on\",\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       = 0.6,\n",
    "    legend_text_colour          = \"black\",\n",
    "    legend_title                = \"on\",\n",
    "    legend_title_text           = \"[m/s] at 3 pm at transect #5\", \n",
    "    legend_title_position       = \"right\",\n",
    "    legend_title_position_ratio = 35,\n",
    ")\n",
    "\n",
    "empty_title = mv.mtext(text_line_count = 0)\n",
    "\n",
    "mv.plot(xs_view, uv_3pm, xs_shade, my_legend, empty_title)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4687d746",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}