plot_vel.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Velocity plots\n",
    "\n",
    "Loads adjusted data and then runs various plots for velocities, mean currents, and residual flows."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
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     "end_time": "2023-06-20T00:14:56.294758Z",
     "start_time": "2023-06-20T00:14:54.456130Z"
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   "source": [
    "# import modules\n",
    "\n",
    "for i in range(2):\n",
    "    %matplotlib notebook\n",
    "import xarray as xr\n",
    "import cmocean\n",
    "import datetime as dt\n",
    "import matplotlib.dates as pldates\n",
    "import scipy.signal as sig\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from pandas.plotting import register_matplotlib_converters\n",
    "register_matplotlib_converters()\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-20T00:14:56.395934Z",
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   "outputs": [],
   "source": [
    "# import data\n",
    "\n",
    "adcp = 'Slope'     # Slope(2013,2014,2017,2018), Axis75(2013,2014), Axis55(2017,2018)\n",
    "year = 2013\n",
    "\n",
    "if adcp == 'Shoulder':\n",
    "    adcp2 = 'Slope'\n",
    "    ds_in = xr.open_dataset(f'../Data/data/adj/adj_{adcp2}_1min_{year}_0.nc')\n",
    "    n_seg = ds_in.n_seg\n",
    "    ds = [ds_in]\n",
    "    if n_seg > 1:\n",
    "        for i in range(n_seg):\n",
    "            if i > 0:\n",
    "                ds_temp = xr.open_dataset(f'../Data/data/adj/adj_{adcp2}_1min_{year}_{i}.nc')\n",
    "                ds.append(ds_temp)\n",
    "\n",
    "else:\n",
    "    ds_in = xr.open_dataset(f'../Data/data/adj/adj_{adcp}_{year}_0.nc')\n",
    "    n_seg = ds_in.n_seg\n",
    "    ds = [ds_in]\n",
    "    if n_seg > 1:\n",
    "        for i in range(n_seg):\n",
    "            if i > 0:\n",
    "                ds_temp = xr.open_dataset(f'../Data/data/adj/adj_{adcp}_{year}_{i}.nc')\n",
    "                ds.append(ds_temp)\n",
    "    \n",
    "#print(ds[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
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     "end_time": "2023-06-20T00:14:56.495320Z",
     "start_time": "2023-06-20T00:14:56.489600Z"
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   "outputs": [],
   "source": [
    "# extract plotting variables\n",
    "\n",
    "t_stamp = ds[0].t_stamp\n",
    "depth = ds[0].depth.values\n",
    "d = len(depth)\n",
    "start_date = ds[0].start_date\n",
    "end_date = ds[0].end_date\n",
    "\n",
    "# get WKB scale for site specific depth range\n",
    "\n",
    "scaling_array = np.load('../project/archive/N2/scaling_array.npy')\n",
    "GM_depths = scaling_array[0]                                 # depths range from -4 to -980 metres\n",
    "GM_scale = scaling_array[1]\n",
    "int_scale = np.interp(depth,-GM_depths,GM_scale)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    }
   },
   "source": [
    "## Adjusted, low-pass, high-pass"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false,
    "heading_collapsed": true,
    "run_control": {
     "frozen": true
    }
   },
   "source": [
    "### Adjusted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0
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    "hidden": true
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   "source": [
    "# plot adjusted velocity data\n",
    "\n",
    "# WKB scale at each depth\n",
    "\n",
    "u_WKB,v_WKB = [],[]\n",
    "for i in range(n_seg):\n",
    "    u_WKB_temp,v_WKB_temp = [],[]\n",
    "    for j in range(d):\n",
    "        u_WKB_temp.append(ds[i].uorig[:,j].values / np.sqrt(int_scale[j]))          # list[depth][frequency]\n",
    "        v_WKB_temp.append(ds[i].vorig[:,j].values / np.sqrt(int_scale[j]))          # list[depth][frequency]\n",
    "    u_WKB_np = np.asarray(u_WKB_temp)\n",
    "    v_WKB_np = np.asarray(v_WKB_temp)\n",
    "    u_WKB.append(u_WKB_np)\n",
    "    v_WKB.append(v_WKB_np)\n",
    "\n",
    "fig, (ax0,ax1) = plt.subplots(2,1, figsize=(7.2,6), sharex = True, sharey = True)\n",
    "fig.subplots_adjust(hspace = 0.15)\n",
    "fig.text(0.5, 0.93, f'{adcp} - {t_stamp}', ha='center', fontsize=14)\n",
    "fig.text(0.005, 0.5, 'Depth [m]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.975, 0.5, 'Velocity [m/s]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.5, 0.02, 'Time [mm/dd]', ha='center',fontsize=14)\n",
    "fig.text(0.21, 0.885, 'WKB-scaled', ha='center',fontsize=14)\n",
    "\n",
    "if adcp == 'Slope' or adcp2 == 'Slope':\n",
    "    vmin = -0.15\n",
    "    vmax = 0.15\n",
    "    fig.text(0.5, 0.886, 'Cross-slope', ha='center', fontsize=14)\n",
    "    fig.text(0.5, 0.478, 'Along-slope', ha='center', fontsize=14)\n",
    "elif adcp == 'Axis55' or adcp == 'Axis75':\n",
    "    vmin = -0.2\n",
    "    vmax = 0.2\n",
    "    fig.text(0.5, 0.885, 'Cross-canyon', ha='center', fontsize=14)\n",
    "    fig.text(0.5, 0.478, 'Along-canyon', ha='center', fontsize=14)\n",
    "\n",
    "date_form = pldates.DateFormatter(\"%m/%d\")\n",
    "ax1.xaxis.set_major_formatter(date_form)    \n",
    "    \n",
    "for i in range(n_seg):\n",
    "    im0 = ax0.pcolormesh(ds[i].t_seg, -depth, u_WKB[i], rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax,shading='auto')\n",
    "    im1 = ax1.pcolormesh(ds[i].t_seg, -depth, v_WKB[i], rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax,shading='auto')\n",
    "\n",
    "cbar0 = fig.colorbar(im0, ax=ax0, fraction=0.05, pad=0.01, aspect=15, extend='both')\n",
    "cbar1 = fig.colorbar(im1, ax=ax1, fraction=0.05, pad=0.01, aspect=15, extend='both')\n",
    "cbar0.ax.tick_params(labelsize=14)\n",
    "cbar1.ax.tick_params(labelsize=14)\n",
    "\n",
    "ax0.patch.set_facecolor('grey')\n",
    "ax1.patch.set_facecolor('grey')\n",
    "    \n",
    "#if adcp == 'Axis55' and t_stamp == '2017':\n",
    "#    ax1.set_xlim(f'{t_stamp}-12-15',f'{t_stamp}-12-31')\n",
    "#else:\n",
    " #   ax1.set_xlim(f'{t_stamp}-04-08',f'{t_stamp}-04-20')\n",
    "ax0.tick_params(labelsize=14)\n",
    "ax1.tick_params(labelsize=14)\n",
    "plt.show()\n",
    "\n",
    "#plt.savefig(fname=f'./plots/vel_plots/vel_{adcp}_{t_stamp}.pdf',format='pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false,
    "heading_collapsed": true,
    "run_control": {
     "frozen": true
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   },
   "source": [
    "### Mean currents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# plot mean current data\n",
    "\n",
    "# WKB scale at each depth\n",
    "\n",
    "u_WKB,v_WKB = [],[]\n",
    "for i in range(n_seg):\n",
    "    u_WKB_temp,v_WKB_temp = [],[]\n",
    "    for j in range(d):\n",
    "        u_WKB_temp.append(ds[i].uorig[:,j].values) #/ np.sqrt(int_scale[j]))         # list[depth][frequency]\n",
    "        v_WKB_temp.append(ds[i].vorig[:,j].values) #/ np.sqrt(int_scale[j]))          # list[depth][frequency]\n",
    "    u_WKB_np = np.asarray(u_WKB_temp)\n",
    "    v_WKB_np = np.asarray(v_WKB_temp)\n",
    "    u_WKB.append(u_WKB_np)\n",
    "    v_WKB.append(v_WKB_np)\n",
    "\n",
    "# plot mean current data\n",
    "\n",
    "#fig, (ax0,ax1) = plt.subplots(2,1, figsize=(7.2,6), sharex = True, sharey = True)\n",
    "fig, (ax0,ax1) = plt.subplots(2,1, figsize=(11,5), sharex = True, sharey = True)\n",
    "fig.subplots_adjust(hspace = 0.15)\n",
    "#fig.text(0.5, 0.94, f'{adcp} - {t_stamp}', ha='center', fontsize=14)\n",
    "fig.text(0.5, 0.94, f'Barkley Canyon - Upper Slope - {t_stamp}', ha='center', fontsize=14)\n",
    "#fig.text(0.005, 0.5, 'Depth [m]', va='center', rotation='vertical',fontsize=14)\n",
    "#fig.text(0.975, 0.5, 'Velocity [m/s]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.02, 0.5, 'Depth [m]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.96, 0.5, 'Velocity [m/s]', va='center', rotation='vertical',fontsize=14)\n",
    "#fig.text(0.5, 0.01, 'Time [months]', ha='center',fontsize=14)\n",
    "fig.text(0.5, 0.01, 'Time [month/day]', ha='center',fontsize=14)\n",
    "#fig.text(0.123, 0.885, 'Low-pass', ha='left',fontsize=14)\n",
    "\n",
    "if adcp == 'Slope':\n",
    "    vmin = -0.2 # -0.15\n",
    "    vmax = 0.2 # 0.15\n",
    "    fig.text(0.5, 0.886, 'Cross-slope', ha='center', fontsize=14)\n",
    "    fig.text(0.5, 0.478, 'Along-slope', ha='center', fontsize=14)\n",
    "elif adcp == 'Axis55' or adcp == 'Axis75':\n",
    "    vmin = -0.05\n",
    "    vmax = 0.05\n",
    "    fig.text(0.5, 0.885, 'Cross-canyon', ha='center', fontsize=14)\n",
    "    fig.text(0.5, 0.478, 'Along-canyon', ha='center', fontsize=14)\n",
    "\n",
    "for i in range(n_seg):\n",
    "    im0 = ax0.pcolormesh(ds[i].t_seg.values, -depth, u_WKB[i], rasterized=True, cmap='RdBu_r', vmin=vmin, vmax=vmax, shading='auto') # cmo.balance\n",
    "    im1 = ax1.pcolormesh(ds[i].t_seg.values, -depth, v_WKB[i], rasterized=True, cmap='RdBu_r', vmin=vmin, vmax=vmax, shading='auto')\n",
    "\n",
    "cbar0 = fig.colorbar(im0, ax=ax0, fraction=0.05, pad=0.01, aspect=15, extend='both')\n",
    "cbar1 = fig.colorbar(im1, ax=ax1, fraction=0.05, pad=0.01, aspect=15, extend='both')\n",
    "cbar0.ax.tick_params(labelsize=14)\n",
    "cbar1.ax.tick_params(labelsize=14)\n",
    "\n",
    "ax0.patch.set_facecolor('grey')\n",
    "ax1.patch.set_facecolor('grey')\n",
    "    \n",
    "#date_form = pldates.DateFormatter(\"%m\")\n",
    "date_form = pldates.DateFormatter(\"%m/%d\")\n",
    "ax1.xaxis.set_major_formatter(date_form)\n",
    "#ax1.set_xlim(start_date,end_date)\n",
    "ax1.set_xlim('2013-04-01 00:00:00','2013-05-01 00:00:00')\n",
    "plt.xticks(['2013-04-01 00:00:00','2013-04-08 00:00:00','2013-04-16 00:00:00','2013-04-24 00:00:00','2013-05-01 00:00:00'])\n",
    "ax0.tick_params(labelsize=14)\n",
    "ax1.tick_params(labelsize=14)\n",
    "\n",
    "if adcp == 'Axis55' or adcp == 'Axis75':\n",
    "    ax1.set_ylim(None,-600)\n",
    "#ax1.set_ylim(-370,-40)\n",
    "    \n",
    "plt.show()\n",
    "\n",
    "plt.savefig(fname=f'./plots/vel_plots/{adcp}_apr_{t_stamp}.pdf',format='pdf')\n",
    "#plt.savefig(fname=f'./plots/vel_plots/lp_{adcp}_{t_stamp}.png',format='png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   "source": [
    "# save lp data to .nc for inter-annual comparison\n",
    "for i in range(n_seg):\n",
    "    ds_out = xr.Dataset( \n",
    "        data_vars=dict(\n",
    "            ulp_WKB=(['depth','t_seg'], u_WKB[i]),        # low-pass data\n",
    "            vlp_WKB=(['depth','t_seg'], v_WKB[i]),\n",
    "        ),\n",
    "        coords=dict(\n",
    "            depth=depth,                        # depth values\n",
    "            t_seg=ds[i].t_seg.values,           # datetime values in segments\n",
    "        ),\n",
    "        attrs=dict(\n",
    "            description=f'Low-pass velocity data for {adcp} {t_stamp} segment {i} (from 0 to {n_seg - 1}).',\n",
    "            adcp=adcp,                   # adcp\n",
    "            #upidx=upidx,                 # upper depth index\n",
    "            #lowidx=lowidx,               # lower depth index\n",
    "            #dup_stamp=dup_stamp,         # upper depth stamp\n",
    "            #dlow_stamp=dlow_stamp,       # lower depth stamp\n",
    "            t_stamp=t_stamp,             # year stamp\n",
    "            start_date=f'{start_date}',  # start date\n",
    "            end_date=f'{end_date}',      # end date\n",
    "            #t=t,                         # length of time series\n",
    "            #d=d,                         # length of depth series\n",
    "            n_seg=n_seg,                 # total number of segments\n",
    "        ),\n",
    "    ) \n",
    "    ds_out.to_netcdf(f'../Data/interannual/vel_lp_{adcp}_{t_stamp}_{i}.nc')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false,
    "run_control": {
     "frozen": true
    }
   },
   "source": [
    "### High-pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-20T00:14:59.131766Z",
     "start_time": "2023-06-20T00:14:59.023950Z"
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    "code_folding": [
     14,
     16
    ]
   },
   "outputs": [],
   "source": [
    "# plot residual flow data\n",
    "\n",
    "# get residual flow data\n",
    "\n",
    "uhp,vhp = [],[]\n",
    "for i in range(n_seg):\n",
    "    uhp_seg = ds[i].uorig - ds[i].ulp\n",
    "    uhp.append(np.asarray(uhp_seg.values))\n",
    "    vhp_seg = ds[i].vorig - ds[i].vlp\n",
    "    vhp.append(np.asarray(vhp_seg.values)) \n",
    "\n",
    "# WKB scale at each depth\n",
    "\n",
    "u_WKB,v_WKB = [],[]\n",
    "for i in range(n_seg):\n",
    "    u_WKB_temp,v_WKB_temp = [],[]\n",
    "    for j in range(d):\n",
    "        u_WKB_temp.append(uhp[i][:,j] / np.sqrt(int_scale[j]))          # list[depth][frequency]\n",
    "        v_WKB_temp.append(vhp[i][:,j] / np.sqrt(int_scale[j]))          # list[depth][frequency]\n",
    "    u_WKB_np = np.asarray(u_WKB_temp)\n",
    "    v_WKB_np = np.asarray(v_WKB_temp)\n",
    "    u_WKB.append(u_WKB_np)\n",
    "    v_WKB.append(v_WKB_np)\n",
    " "
   ]
  },
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   "execution_count": 5,
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     "end_time": "2023-06-20T00:15:02.991508Z",
     "start_time": "2023-06-20T00:15:00.664390Z"
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       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
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\" width=\"1200\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot\n",
    "    \n",
    "fig, (ax0,ax1) = plt.subplots(2,1, figsize=(12,4.5), sharex = True, sharey = True)\n",
    "fig.subplots_adjust(hspace = 0.15)\n",
    "#fig.text(0.5, 0.94, f'{adcp} - {t_stamp}', ha='center', fontsize=14)\n",
    "fig.text(0.06, 0.5, 'Depth [m]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.98, 0.5, 'Velocity [m/s]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.5, 0.009, 'Time [mm/dd]', ha='center',fontsize=14)\n",
    "fig.text(0.17, 0.885, 'WKB-scaled', ha='center',fontsize=14)\n",
    "\n",
    "if adcp == 'Slope':\n",
    "    vmin = -0.15\n",
    "    vmax = 0.15\n",
    "    fig.text(0.5, 0.886, 'Cross-slope', ha='center', fontsize=14)\n",
    "    fig.text(0.5, 0.478, 'Along-slope', ha='center', fontsize=14)\n",
    "elif adcp == 'Axis55' or adcp == 'Axis75':\n",
    "    vmin = -0.3\n",
    "    vmax = 0.3\n",
    "    fig.text(0.5, 0.885, 'Cross-canyon', ha='center', fontsize=14)\n",
    "    fig.text(0.5, 0.478, 'Along-canyon', ha='center', fontsize=14)\n",
    "\n",
    "for i in range(n_seg):\n",
    "    im0 = ax0.pcolormesh(ds[i].t_seg.values, -depth, u_WKB[i], rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax, shading='auto')\n",
    "    im1 = ax1.pcolormesh(ds[i].t_seg.values, -depth, v_WKB[i], rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax, shading='auto')\n",
    "    if adcp == 'Axis75' or adcp == 'Axis55':\n",
    "        ax0.hlines(y=-700, xmin=ds[i].start_date,xmax=ds[i].end_date, linewidth=1, color='black', ls='--')\n",
    "        ax1.hlines(y=-700, xmin=ds[i].start_date,xmax=ds[i].end_date, linewidth=1, color='black', ls='--')\n",
    "        ax1.set_ylim(None,-600)\n",
    "\n",
    "cbar = fig.add_axes([0.905, 0.11, 0.009, 0.77])\n",
    "cbar = fig.colorbar(im1, cax=cbar, fraction=0.05, pad=0.04, aspect=15, extend='both')\n",
    "cbar.ax.tick_params(labelsize=14) \n",
    "\n",
    "ax0.patch.set_facecolor('grey')\n",
    "ax1.patch.set_facecolor('grey')\n",
    "\n",
    "date_form = pldates.DateFormatter(\"%m/%d\")\n",
    "ax1.xaxis.set_major_formatter(date_form)\n",
    "if adcp == 'Axis55' and t_stamp == '2017':\n",
    "    ax1.set_xlim(f'{t_stamp}-12-15',f'{t_stamp}-12-31')\n",
    "    #ax1.set_xlim(f'{t_stamp}-01-01',f'{t_stamp}-12-31')\n",
    "else:\n",
    "    ax1.set_xlim(f'{t_stamp}-04-08',f'{t_stamp}-04-20')\n",
    "    #ax1.set_xlim(f'{t_stamp}-01-01',f'{t_stamp}-12-31')\n",
    "ax0.tick_params(labelsize=14)\n",
    "ax1.tick_params(labelsize=14)\n",
    "if adcp == 'Slope':\n",
    "    ax0.set_yticks([-300,-200,-100,0])\n",
    "    ax0.set_yticklabels(['300','200','100','0'])\n",
    "    fig.text(0.05,0.88,'(a)',fontweight='bold',fontsize=14)\n",
    "else:\n",
    "    ax0.set_yticks([-900,-800,-700,-600])\n",
    "    ax0.set_yticklabels(['900','800','700','600'])\n",
    "    fig.text(0.05,0.88,'(b)',fontweight='bold',fontsize=14)\n",
    "\n",
    "plt.show()\n",
    "\n",
    "plt.savefig(fname=f'./plots/vel_plots/hp_{adcp}_{t_stamp}.pdf',format='pdf')\n",
    "#plt.savefig(fname=f'./plots/vel_plots/hp_{adcp}_{t_stamp}.png',format='png')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false,
    "heading_collapsed": true,
    "run_control": {
     "frozen": true
    }
   },
   "source": [
    "## Band-filtered velocities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# choose frequency band\n",
    "\n",
    "ubp,vbp = [],[]   # empty lists for filtered data\n",
    "f_band = 'Shoulder'                         # Diurnal, Inertial, Semidiurnal, Continuum, Shoulder\n",
    "\n",
    "for i in range(n_seg):\n",
    "    d = ds[i].d\n",
    "    t = len(ds[i].t_seg)\n",
    "    fs = 1.111e-3                               # samples per SECOND for entire time series\n",
    "    if f_band == 'Inertial':\n",
    "        Wn = [1.35e-5,2.00e-5]                              # cut-off frequencies\n",
    "    elif f_band == 'Diurnal':\n",
    "        Wn = [0.90e-5,1.40e-5]\n",
    "    elif f_band == 'Semidiurnal':\n",
    "        Wn = [2.00e-5,2.50e-5]\n",
    "    elif f_band == 'Subdiurnal':\n",
    "        Wn = [2.00e-6,0.9e-5]\n",
    "    elif f_band == 'Continuum':\n",
    "        Wn = [7.00e-5,1.20e-4]\n",
    "    elif f_band == 'Shoulder':\n",
    "        fs = 1.667e-2\n",
    "        Wn = [2e-4,1e-3]\n",
    "    elif f_band == 'test':\n",
    "        Wn = [1.20e-4,5.0e-4]\n",
    "    sos = sig.butter(8, Wn,'bandpass', fs=fs, output='sos')   # digital butterworth filter\n",
    "    w,h = sig.sosfreqz(sos)                      # to plot filter response\n",
    "\n",
    "    ubp_temp = np.empty([t,d])                  # empty array for low-pass filtered u values\n",
    "    vbp_temp = np.empty([t,d])                  # empty array for low-pass filtered v values\n",
    "\n",
    "    for j in range(d):                                 # loop for filtered and residual velocities\n",
    "        ufilt = np.copy(ds[i].uorig[:,j].values)       # copy unfiltered array\n",
    "        ubp_temp[:,j] = sig.sosfiltfilt(sos, ufilt)    # apply band pass filter\n",
    "\n",
    "        vfilt = np.copy(ds[i].vorig[:,j].values)       # repeat for v\n",
    "        vbp_temp[:,j] = sig.sosfiltfilt(sos, vfilt)\n",
    "\n",
    "    ubp.append(ubp_temp)\n",
    "    vbp.append(vbp_temp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# plot filter response\n",
    "fig,ax = plt.subplots(1,1,figsize=(5,2))\n",
    "ax.semilogx(w*fs/(2*np.pi),abs(h))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0,
     5,
     48,
     70
    ],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# plot bandpass current data\n",
    "\n",
    "# WKB scale at each depth\n",
    "\n",
    "u_WKB,v_WKB, U_WKB = [],[],[]\n",
    "for i in range(n_seg):\n",
    "    u_WKB_temp,v_WKB_temp,U_WKB_temp = [],[],[]\n",
    "    for j in range(d):\n",
    "        u_WKB_temp.append(ubp[i][:,j] / np.sqrt(int_scale[j]))          # list[depth][frequency]\n",
    "        v_WKB_temp.append(vbp[i][:,j] / np.sqrt(int_scale[j]))          # list[depth][frequency]\n",
    "        U_WKB_temp.append(np.sqrt( (ubp[i][:,j] / np.sqrt(int_scale[j]))**2 + (vbp[i][:,j] / np.sqrt(int_scale[j]))**2  ))\n",
    "    u_WKB_np = np.asarray(u_WKB_temp)\n",
    "    v_WKB_np = np.asarray(v_WKB_temp)\n",
    "    U_WKB_np = np.asarray(U_WKB_temp)\n",
    "    u_WKB.append(u_WKB_np)\n",
    "    v_WKB.append(v_WKB_np)\n",
    "    U_WKB.append(U_WKB_np)\n",
    "\n",
    "fig, (ax0,ax1) = plt.subplots(2,1, figsize=(8,6), sharex = True, sharey = True)\n",
    "fig.subplots_adjust(hspace = 0.15)\n",
    "fig.text(0.5, 0.93, f'{f_band} - {adcp} - {t_stamp}', ha='center', fontsize=14)\n",
    "fig.text(0.02, 0.5, 'Depth [m]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.975, 0.5, 'Velocity [m/s]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.5, 0.02, 'Time [mm/dd]', ha='center',fontsize=14)\n",
    "fig.text(0.198, 0.885, 'WKB-scaled', ha='center',fontsize=14)\n",
    "\n",
    "if adcp == 'Slope' or adcp2 == 'Slope':\n",
    "    fig.text(0.5, 0.886, 'Cross-slope', ha='center', fontsize=14)\n",
    "    fig.text(0.5, 0.478, 'Along-slope', ha='center', fontsize=14)\n",
    "    if f_band == 'Inertial':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    elif f_band == 'Diurnal':\n",
    "        vmin = -0.025\n",
    "        vmax = 0.025\n",
    "    elif f_band == 'Semidiurnal':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    elif f_band == 'Subdiurnal':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    elif f_band == 'Continuum':\n",
    "        vmin = -0.025\n",
    "        vmax = 0.025\n",
    "    elif f_band == 'Shoulder':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    \n",
    "elif adcp == 'Axis55' or adcp == 'Axis75':\n",
    "    fig.text(0.5, 0.885, 'Cross-canyon', ha='center', fontsize=14)\n",
    "    fig.text(0.5, 0.478, 'Along-canyon', ha='center', fontsize=14)\n",
    "    if f_band == 'Inertial':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    elif f_band == 'Diurnal':\n",
    "        vmin = -0.1\n",
    "        vmax = 0.1\n",
    "    elif f_band == 'Semidiurnal':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    elif f_band == 'Subdiurnal':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    elif f_band == 'Continuum':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    elif f_band == 'test':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "\n",
    "for i in range(n_seg):\n",
    "    im0 = ax0.pcolormesh(ds[i].t_seg, -depth, u_WKB[i], rasterized=True, cmap='RdBu_r', vmin=vmin, vmax=vmax, shading='auto')\n",
    "    im1 = ax1.pcolormesh(ds[i].t_seg, -depth, v_WKB[i], rasterized=True, cmap='RdBu_r', vmin=vmin, vmax=vmax, shading='auto')\n",
    "    if adcp == 'Axis75' or adcp == 'Axis55':\n",
    "        ax0.plot(ds[i].t_seg,np.full(len(ds[i].t_seg),-680),color='black',ls='--',lw='1')\n",
    "        ax1.plot(ds[i].t_seg,np.full(len(ds[i].t_seg),-680),color='black',ls='--',lw='1')\n",
    "\n",
    "cbar0 = fig.colorbar(im0, ax=ax0, fraction=0.05, pad=0.01, aspect=15, extend='both')\n",
    "cbar1 = fig.colorbar(im1, ax=ax1, fraction=0.05, pad=0.01, aspect=15, extend='both')\n",
    "cbar0.ax.tick_params(labelsize=14)\n",
    "cbar1.ax.tick_params(labelsize=14)\n",
    "\n",
    "ax0.patch.set_facecolor('grey')\n",
    "ax1.patch.set_facecolor('grey')\n",
    "    \n",
    "# draw vertical lines\n",
    "# plt.annotate(\"\", xy=(210, 330), xycoords='figure points', xytext=(115, 375), textcoords='figure points',\\\n",
    "#               arrowprops=dict(arrowstyle=\"-\", edgecolor = \"black\", linewidth=3, alpha=1, connectionstyle=\"arc3,rad=0.\"))\n",
    "# plt.annotate(\"\", xy=(210, 153), xycoords='figure points', xytext=(115, 198), textcoords='figure points',\\\n",
    "#               arrowprops=dict(arrowstyle=\"-\", edgecolor = \"black\", linewidth=3, alpha=1, connectionstyle=\"arc3,rad=0.\"))\n",
    "# plt.annotate(\"\", xy=(208, 332), xycoords='figure points', xytext=(208, 230), textcoords='figure points',\\\n",
    "#               arrowprops=dict(arrowstyle=\"-\", edgecolor = \"black\", linewidth=3, alpha=1, connectionstyle=\"arc3,rad=0.\"))\n",
    "# plt.annotate(\"\", xy=(208, 155), xycoords='figure points', xytext=(208, 53), textcoords='figure points',\\\n",
    "#               arrowprops=dict(arrowstyle=\"-\", edgecolor = \"black\", linewidth=3, alpha=1, connectionstyle=\"arc3,rad=0.\"))\n",
    "# fig.text(0.2,0.755,r'$\\sim$8 days',fontsize=14)\n",
    "# fig.text(0.2,0.34,r'$\\sim$8 days',fontsize=14)\n",
    "    \n",
    "date_form = pldates.DateFormatter(\"%m/%d\")\n",
    "ax1.xaxis.set_major_formatter(date_form)\n",
    "if adcp == 'Axis55' and t_stamp == '2017':\n",
    "    ax1.set_xlim(f'{t_stamp}-12-15',f'{t_stamp}-12-31')\n",
    "elif adcp == 'Shoulder':\n",
    "    ax1.set_xlim(f'{t_stamp}-04-01',f'{t_stamp}-04-02')\n",
    "else:\n",
    "    ax1.set_xlim(f'{t_stamp}-09-01',f'{t_stamp}-10-01')\n",
    "ax0.tick_params(labelsize=14)\n",
    "ax1.tick_params(labelsize=14)\n",
    "ax1.xaxis.set_major_locator(plt.MaxNLocator(6))\n",
    "\n",
    "plt.show()\n",
    "\n",
    "if adcp == 'Shoulder':\n",
    "    plt.savefig(fname=f'./plots/vel_plots/bp_{f_band}_{adcp2}_{t_stamp}.pdf',format='pdf')\n",
    "else:\n",
    "    plt.savefig(fname=f'./plots/vel_plots/bp_{f_band}_{adcp}_{t_stamp}.pdf',format='pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0,
     5,
     25,
     27,
     30,
     33,
     36,
     39,
     43,
     64,
     76,
     82,
     84
    ],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# plot total bandpass current data\n",
    "\n",
    "# WKB scale at each depth\n",
    "\n",
    "u_WKB,v_WKB, U_WKB = [],[],[]\n",
    "for i in range(n_seg):\n",
    "    u_WKB_temp,v_WKB_temp,U_WKB_temp = [],[],[]\n",
    "    for j in range(d):\n",
    "        u_WKB_temp.append(ubp[i][:,j] / np.sqrt(int_scale[j]))          # list[depth][frequency]\n",
    "        v_WKB_temp.append(vbp[i][:,j] / np.sqrt(int_scale[j]))          # list[depth][frequency]\n",
    "        U_WKB_temp.append(np.sqrt( (ubp[i][:,j] / np.sqrt(int_scale[j]))**2 + (vbp[i][:,j] / np.sqrt(int_scale[j]))**2  ))\n",
    "    u_WKB_np = np.asarray(u_WKB_temp)\n",
    "    v_WKB_np = np.asarray(v_WKB_temp)\n",
    "    U_WKB_np = np.asarray(U_WKB_temp)\n",
    "    u_WKB.append(u_WKB_np)\n",
    "    v_WKB.append(v_WKB_np)\n",
    "    U_WKB.append(U_WKB_np)\n",
    "\n",
    "fig, ax0 = plt.subplots(1,1, figsize=(10,4.5))\n",
    "fig.text(0.5, 0.889, f'{f_band} - {adcp} - {t_stamp}', ha='center', fontsize=14)\n",
    "fig.text(0.03, 0.5, 'Depth [m]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.95, 0.5, 'Speed [m/s]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.5, 0.005, 'Time [mm/dd]', ha='center',fontsize=14)\n",
    "fig.text(0.185, 0.889, 'WKB-scaled', ha='center',fontsize=14)\n",
    "\n",
    "if adcp == 'Slope':\n",
    "    #fig.text(0.5, 0.886, 'Magnitude', ha='center', fontsize=14)\n",
    "    if f_band == 'Inertial':\n",
    "        vmin = 0\n",
    "        vmax = 0.1\n",
    "    elif f_band == 'Diurnal':\n",
    "        vmin = -0.025\n",
    "        vmax = 0.025\n",
    "    elif f_band == 'Semidiurnal':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    elif f_band == 'Subdiurnal':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    elif f_band == 'Continuum':\n",
    "        vmin = -0.025\n",
    "        vmax = 0.025\n",
    "    \n",
    "elif adcp == 'Axis55' or adcp == 'Axis75':\n",
    "    #fig.text(0.5, 0.885, 'Magnitude', ha='center', fontsize=14)\n",
    "    if f_band == 'Inertial':\n",
    "        vmin = 0\n",
    "        vmax = 0.1\n",
    "    elif f_band == 'Diurnal':\n",
    "        vmin = -0.1\n",
    "        vmax = 0.1\n",
    "    elif f_band == 'Semidiurnal':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    elif f_band == 'Subdiurnal':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    elif f_band == 'Continuum':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "    elif f_band == 'test':\n",
    "        vmin = -0.05\n",
    "        vmax = 0.05\n",
    "\n",
    "for i in range(n_seg):\n",
    "    im0 = ax0.pcolormesh(ds[i].t_seg, -depth, U_WKB[i], rasterized=True, cmap='afmhot', vmin=vmin, vmax=vmax, shading='auto')\n",
    "    if adcp == 'Axis75' or adcp == 'Axis55':\n",
    "        ax0.plot(ds[i].t_seg,np.full(len(ds[i].t_seg),-680),color='black',ls='--',lw='1')\n",
    "\n",
    "cbar0 = fig.colorbar(im0, ax=ax0, fraction=0.05, pad=0.01, aspect=15, extend='both')\n",
    "cbar0.ax.tick_params(labelsize=14)\n",
    "\n",
    "ax0.patch.set_facecolor('grey')\n",
    "ax1.patch.set_facecolor('grey')\n",
    "    \n",
    "# draw vertical lines\n",
    "# plt.annotate(\"\", xy=(255, 208), xycoords='figure points', xytext=(140, 208), textcoords='figure points',\\\n",
    "#               arrowprops=dict(arrowstyle=\"-\", edgecolor = \"white\", linewidth=3, alpha=1, connectionstyle=\"arc3,rad=0.\"))\n",
    "# fig.text(0.218,0.59,r'$\\sim$8 days',fontsize=14,color='white')\n",
    "    \n",
    "date_form = pldates.DateFormatter(\"%m/%d\")\n",
    "ax0.xaxis.set_major_formatter(date_form)\n",
    "if adcp == 'Axis55' and t_stamp == '2017':\n",
    "    ax0.set_xlim(f'{t_stamp}-12-15',f'{t_stamp}-12-31')\n",
    "else:\n",
    "    ax0.set_xlim(f'{t_stamp}-09-01',f'{t_stamp}-10-01')\n",
    "ax0.tick_params(labelsize=14)\n",
    "ax0.xaxis.set_major_locator(plt.MaxNLocator(6))\n",
    "\n",
    "plt.show()\n",
    "\n",
    "#plt.savefig(fname=f'./plots/vel_plots/bp_{f_band}_{adcp}_{t_stamp}.pdf',format='pdf')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false,
    "heading_collapsed": true,
    "run_control": {
     "frozen": true
    }
   },
   "source": [
    "## Along-canyon flow"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0,
     5,
     17,
     22,
     32,
     40
    ],
    "hidden": true,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# WKB and average along-canyon velocity\n",
    "\n",
    "# WKB scale at each depth\n",
    "\n",
    "u_WKB,v_WKB = [],[]\n",
    "for i in range(n_seg):\n",
    "    u_WKB_temp,v_WKB_temp = [],[]\n",
    "    for j in range(d):\n",
    "        u_WKB_temp.append(ds[i].ulp[:,j].values)# / np.sqrt(int_scale[j]))         # list[depth][frequency]\n",
    "        v_WKB_temp.append(ds[i].vlp[:,j].values)# / np.sqrt(int_scale[j]))          # list[depth][frequency]\n",
    "    u_WKB_np = np.asarray(u_WKB_temp)\n",
    "    v_WKB_np = np.asarray(v_WKB_temp)\n",
    "    u_WKB.append(u_WKB_np)\n",
    "    v_WKB.append(v_WKB_np)\n",
    "    \n",
    "# set depths for averaging\n",
    "\n",
    "if adcp == 'Axis75':\n",
    "    upper_d = 48\n",
    "    lower_d = 71\n",
    "    upper_depth = -depth[upper_d]\n",
    "    lower_depth = -depth[lower_d-1]\n",
    "elif adcp == 'Axis55':\n",
    "    upper_d = 36\n",
    "    lower_d = 45\n",
    "    upper_depth = -depth[upper_d]\n",
    "    lower_depth = -depth[lower_d-1]\n",
    "\n",
    "v_avg = 0\n",
    "tot_len = 0\n",
    "weights = []\n",
    "\n",
    "for i in range(n_seg):\n",
    "    tot_len += len(v_WKB[i][upper_d])\n",
    "print('Total length of time-series:',tot_len)\n",
    "print('')\n",
    "\n",
    "n_avg = 1400 # just over two weeks\n",
    "v_avg_segs = []\n",
    "v_depth_avg = []\n",
    "for i in range(n_seg):\n",
    "    v_avg_arr = np.asarray(v_WKB[i][upper_d:lower_d])\n",
    "    print(np.nanmean(v_avg_arr))\n",
    "    weights.append(len(v_avg_arr[0])/tot_len)\n",
    "    print('Weight of segment',i,':',weights[i])\n",
    "    v_avg += np.nanmean(v_avg_arr)*weights[i]\n",
    "    \n",
    "    da = xr.Dataset(\n",
    "        data_vars=dict(\n",
    "            v_WKB = (['depth','time'],v_WKB[i][upper_d:lower_d]),\n",
    "        ),\n",
    "        coords=dict(\n",
    "            depth = -depth[upper_d:lower_d],\n",
    "            time = ds[i].t_seg.values,\n",
    "        ))\n",
    "    \n",
    "    v_depth_avg_temp = da.mean('depth')\n",
    "    v_depth_avg.append(v_depth_avg_temp)\n",
    "    \n",
    "    if len(da.time) < n_avg:\n",
    "        continue\n",
    "    elif len(da.time) >= n_avg:\n",
    "        da_roll_time = da.rolling(time=n_avg,center=True).mean().dropna('time')\n",
    "        da_roll_depth = da_roll_time.mean('depth')\n",
    "    \n",
    "    v_avg_segs.append(da_roll_depth)\n",
    "\n",
    "v_segs = len(v_avg_segs)\n",
    "print('')\n",
    "print(f'Annual average along-canyon velocity ({upper_depth} to {lower_depth} m): %.3f m/s' % v_avg)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0,
     14
    ],
    "hidden": true,
    "scrolled": false
   },
   "outputs": [],
   "source": [
    "# plot canyon mean-current data for up-canyon flow\n",
    "\n",
    "# plot mean current data\n",
    "\n",
    "fig, (ax1,ax2) = plt.subplots(2,1, figsize=(13,6), sharex = True, sharey = False)\n",
    "fig.subplots_adjust(hspace = 0.1)\n",
    "fig.text(0.5, 0.885, f'40h low-pass - {adcp} - {t_stamp}', ha='center', fontsize=14)\n",
    "fig.text(0.05, 0.70, 'Depth [m]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.05, 0.275, 'Velocity [m/s]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.94, 0.70, 'Velocity [m/s]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.5, 0.01, 'Time [months]', ha='center',fontsize=14)\n",
    "#fig.text(0.5, 0.01, 'Time [mm/dd]', ha='center',fontsize=14)\n",
    "#fig.text(0.81, 0.885, 'WKB-scaled', ha='center',fontsize=14)\n",
    "\n",
    "if adcp == 'Slope':\n",
    "    vmin = -0.15\n",
    "    vmax = 0.15\n",
    "    fig.text(0.5, 0.886, 'Cross-slope', ha='center', fontsize=14)\n",
    "    fig.text(0.5, 0.478, 'Along-slope', ha='center', fontsize=14)\n",
    "elif adcp == 'Axis55' or adcp == 'Axis75':\n",
    "    vmin = -0.05\n",
    "    vmax = 0.05\n",
    "    fig.text(0.175, 0.885, 'Along-canyon', ha='center', fontsize=14)\n",
    "    #fig.text(0.175, 0.615, 'Along-canyon', ha='center', fontsize=14)\n",
    "    t = fig.text(0.72, 0.54, 'Annual mean velocity: %.3f m/s' % v_avg, ha='center', fontsize=14, color='black')\n",
    "    t.set_bbox(dict(facecolor='white', alpha=0.6, edgecolor='white'))\n",
    "    #fig.text(0.175, 0.344, 'Along canyon', ha='center', fontsize=14)\n",
    "    fig.text(0.76, 0.435, '2-week rolling average', ha='center', fontsize=14)\n",
    "\n",
    "for i in range(n_seg):\n",
    "    im1 = ax1.pcolormesh(ds[i].t_seg.values, -depth, v_WKB[i], rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax, shading='auto')\n",
    "for i in range(v_segs):\n",
    "    im2 = ax2.plot(v_avg_segs[i].time,v_avg_segs[i].v_WKB,color='black')\n",
    "\n",
    "cbar1 = fig.colorbar(im1, ax=ax1, fraction=0.05, pad=0.01, aspect=15, extend='both')\n",
    "cbar1.ax.tick_params(labelsize=14)\n",
    "\n",
    "ax1.patch.set_facecolor('grey')\n",
    "    \n",
    "date_form = pldates.DateFormatter(\"%m\")\n",
    "#date_form = pldates.DateFormatter(\"%m/%d\")\n",
    "ax1.xaxis.set_major_formatter(date_form)\n",
    "\n",
    "ax1.set_xlim(start_date,end_date)\n",
    "#ax1.set_xlim(f'{t_stamp}-01-15',f'{t_stamp}-03-15')\n",
    "\n",
    "ax1.tick_params(labelsize=14)\n",
    "ax2.tick_params(labelsize=14)\n",
    "\n",
    "ax1.set_ylim(-depth[-1],-600)\n",
    "ax2.set_ylim(-0.005,0.025)\n",
    "\n",
    "#ax2.set_box_aspect(0.1435)\n",
    "ax2.set_box_aspect(0.232)\n",
    "ax2.set_anchor('W')\n",
    "\n",
    "# ax1.axhline(y= -depth[upper_d], color='black', linestyle='--')\n",
    "# ax1.axhline(y= -depth[lower_d-1], color='black', linestyle='--')\n",
    "ax1.axhline(y= -700, color='black', linestyle='--')\n",
    "ax1.axhline(y= -900, color='black', linestyle='--')\n",
    "\n",
    "plt.show()\n",
    "\n",
    "plt.savefig(fname=f'./plots/vel_plots/lp_canyon_{adcp}_{t_stamp}.pdf',format='pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0
    ],
    "deletable": false,
    "editable": false,
    "hidden": true,
    "run_control": {
     "frozen": true
    }
   },
   "outputs": [],
   "source": [
    "# get Slope mean velocities\n",
    "\n",
    "# import data\n",
    "\n",
    "site2 = 'Slope'     # Slope or Axis\n",
    "\n",
    "ds_2013,ds_2014,ds_2017,ds_2018 = [],[],[],[]\n",
    "if site2 == 'Slope':\n",
    "    ds_2013.append(xr.open_dataset(f'../Data/interannual/vel_lp_{site2}_2013_0.nc'))\n",
    "#     ds_2014.append(xr.open_dataset(f'../Data/interannual/vel_lp_{site2}_2014_0.nc'))\n",
    "#     ds_2017.append(xr.open_dataset(f'../Data/interannual/vel_lp_{site2}_2017_0.nc'))\n",
    "#     ds_2017.append(xr.open_dataset(f'../Data/interannual/vel_lp_{site2}_2017_1.nc'))\n",
    "#     ds_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_{site2}_2018_0.nc'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0
    ],
    "deletable": false,
    "editable": false,
    "hidden": true,
    "run_control": {
     "frozen": true
    }
   },
   "outputs": [],
   "source": [
    "# get semidiurnal mean power\n",
    "\n",
    "# import data\n",
    "\n",
    "site3 = 'Axis'     # Slope or Axis\n",
    "\n",
    "ds2_2013,ds2_2014,ds2_2017,ds2_2018 = [],[],[],[]\n",
    "if site3 == 'Axis':\n",
    "    ds2_2013.append(xr.open_dataset(f'../Data/interannual/depthband_psd_Semidiurnal_Axis75_2013_0.nc'))\n",
    "    ds2_2013.append(xr.open_dataset(f'../Data/interannual/depthband_psd_Semidiurnal_Axis75_2013_1.nc'))\n",
    "#     ds2_2014.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis75_2014_0.nc'))\n",
    "#     ds2_2014.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis75_2014_1.nc'))\n",
    "#     ds2_2014.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis75_2014_2.nc'))\n",
    "#     ds2_2017.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2017_0.nc'))\n",
    "#     ds2_2017.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2017_1.nc'))\n",
    "#     ds2_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2018_0.nc'))\n",
    "#     ds2_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2018_1.nc'))\n",
    "#     ds2_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2018_2.nc'))\n",
    "#     ds2_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2018_3.nc'))\n",
    "#     ds2_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2018_4.nc'))\n",
    "#     ds2_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2018_5.nc'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0,
     13
    ],
    "deletable": false,
    "editable": false,
    "hidden": true,
    "run_control": {
     "frozen": true
    }
   },
   "outputs": [],
   "source": [
    "# compare with spring-neap forcing\n",
    "\n",
    "f_name = 'Diurnal'\n",
    "dst = xr.open_dataset(f'../Data/tide/tide_{f_name}_{t_stamp}.nc')\n",
    "f_name2 = 'Semidiurnal'\n",
    "dst_semi = xr.open_dataset(f'../Data/tide/tide_{f_name2}_{t_stamp}.nc')\n",
    "\n",
    "fig,ax=plt.subplots(1,1,figsize=(13,5))\n",
    "ax.set_title('Along-canyon mean-flow forcing comparisons',fontsize=14)\n",
    "\n",
    "for i in range(v_segs):\n",
    "    if i == 0:\n",
    "        ax.plot(v_depth_avg[i].time,v_depth_avg[i].v_WKB,color='black',label='Along-canyon depth-mean (700-900 m) low-pass',lw=3)\n",
    "    else:\n",
    "        ax.plot(v_depth_avg[i].time,v_depth_avg[i].v_WKB,color='black',lw=3)\n",
    "#ax.plot(dst.time,dst.tide/3,label=f'{f_name} spring-neap (scaled)',lw=1)\n",
    "#ax.plot(dst_semi.time,dst_semi.tide/18,label=f'{f_name2} spring-neap (scaled)',lw=1)\n",
    "ax.plot(dst.time,(dst.tide + dst_semi.tide)/20,label=f'Spring-neap surface levels (scaled)',lw=1)\n",
    "for i in range(ds_2013[0].n_seg):\n",
    "    if i == 0:\n",
    "        ax.plot(ds_2013[i].t_seg, ds_2013[i].vlp_WKB[6:,:].mean('depth')/3,label='Along-slope depth-mean (50-350 m) low-pass (scaled)',lw=1)\n",
    "    else:\n",
    "        ax.plot(ds_2013[i].t_seg, ds_2013[i].vlp_WKB[6:,:].mean('depth')/3,lw=1)\n",
    "for i in range(ds_2013[0].n_seg):\n",
    "    if i == 0:\n",
    "        ax.plot(ds2_2013[i].spect_s, ds2_2013[i].v_WKB[48:72,:].mean('depth')*40,label='Along-canyon depth-mean (700-900 m) semidiurnal PSD (scaled)',lw=1)\n",
    "    else:\n",
    "        ax.plot(ds2_2013[i].spect_s, ds2_2013[i].v_WKB[48:72,:].mean('depth')*40,lw=1)\n",
    "\n",
    "ax.set_xlim(np.datetime64(f'{t_stamp}-01-15'),np.datetime64(f'{t_stamp}-06-15'))\n",
    "ax.set_ylim(-0.03,0.08)\n",
    "ax.legend()\n",
    "plt.show()\n",
    "\n",
    "plt.savefig(fname=f'./plots/vel_plots/lp_canyon_compare2_{adcp}_{t_stamp}.pdf',format='pdf')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "hidden": true
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "deletable": false,
    "editable": false,
    "heading_collapsed": true,
    "run_control": {
     "frozen": true
    }
   },
   "source": [
    "## Inter-annual comparisons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0
    ],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# import data\n",
    "\n",
    "site = 'Slope'     # Slope or Axis\n",
    "\n",
    "ds_2013,ds_2014,ds_2017,ds_2018 = [],[],[],[]\n",
    "if site == 'Slope':\n",
    "    ds_2013.append(xr.open_dataset(f'../Data/interannual/vel_lp_{site}_2013_0.nc'))\n",
    "    ds_2014.append(xr.open_dataset(f'../Data/interannual/vel_lp_{site}_2014_0.nc'))\n",
    "    ds_2017.append(xr.open_dataset(f'../Data/interannual/vel_lp_{site}_2017_0.nc'))\n",
    "    ds_2017.append(xr.open_dataset(f'../Data/interannual/vel_lp_{site}_2017_1.nc'))\n",
    "    ds_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_{site}_2018_0.nc'))\n",
    "elif site == 'Axis':\n",
    "    ds_2013.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis75_2013_0.nc'))\n",
    "    ds_2013.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis75_2013_1.nc'))\n",
    "    ds_2014.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis75_2014_0.nc'))\n",
    "    ds_2014.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis75_2014_1.nc'))\n",
    "    ds_2014.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis75_2014_2.nc'))\n",
    "    ds_2017.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2017_0.nc'))\n",
    "    ds_2017.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2017_1.nc'))\n",
    "    ds_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2018_0.nc'))\n",
    "    ds_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2018_1.nc'))\n",
    "    ds_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2018_2.nc'))\n",
    "    ds_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2018_3.nc'))\n",
    "    ds_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2018_4.nc'))\n",
    "    ds_2018.append(xr.open_dataset(f'../Data/interannual/vel_lp_Axis55_2018_5.nc'))\n",
    "    \n",
    "#print(ds_2018[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "code_folding": [
     0,
     17,
     22
    ],
    "hidden": true
   },
   "outputs": [],
   "source": [
    "# plot inter-annual data\n",
    "\n",
    "fig, ((ax0,ax1),(ax2,ax3),(ax4,ax5),(ax6,ax7)) = plt.subplots(4,2, figsize=(13,9), sharex = False, sharey = True)\n",
    "fig.subplots_adjust(wspace = 0.08)\n",
    "fig.text(0.51, 0.92, f'40h low-pass - {site}', ha='center', fontsize=14)\n",
    "fig.text(0.05, 0.5, 'Depth [m]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.95, 0.5, 'Velocity [m/s]', va='center', rotation='vertical',fontsize=14)\n",
    "fig.text(0.51, 0.04, 'Time [months]', ha='center',fontsize=14)\n",
    "# fig.text(0.835, 0.886, 'WKB-scaled', ha='center',fontsize=14)\n",
    "fig.text(0.142, 0.886, '2013', ha='center',fontsize=14)\n",
    "fig.text(0.142, 0.683, '2014', ha='center',fontsize=14)\n",
    "fig.text(0.142, 0.482, '2017', ha='center',fontsize=14)\n",
    "fig.text(0.142, 0.281, '2018', ha='center',fontsize=14)\n",
    "\n",
    "for ax in fig.get_axes():\n",
    "    ax.label_outer()\n",
    "\n",
    "if site == 'Slope':\n",
    "    vmin = -0.3\n",
    "    vmax = 0.3\n",
    "    fig.text(0.31, 0.886, 'Cross-slope', ha='center', fontsize=14)\n",
    "    fig.text(0.71, 0.886, 'Along-slope', ha='center', fontsize=14)\n",
    "elif site == 'Axis':\n",
    "    vmin = -0.05\n",
    "    vmax = 0.05\n",
    "    fig.text(0.31, 0.886, 'Cross-canyon', ha='center', fontsize=14)\n",
    "    fig.text(0.71, 0.886, 'Along-canyon', ha='center', fontsize=14)\n",
    "\n",
    "date_form = pldates.DateFormatter(\"%m\")\n",
    "years = [ds_2013,ds_2014,ds_2017,ds_2018]    \n",
    "for k,i in enumerate(years):\n",
    "    n_seg_temp = i[0].n_seg\n",
    "    for j in range(n_seg_temp):\n",
    "        if k == 0:\n",
    "            im0 = ax0.pcolormesh(i[j].t_seg.values, -i[j].depth, i[j].ulp_WKB, rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax, shading='auto')\n",
    "            im1 = ax1.pcolormesh(i[j].t_seg.values, -i[j].depth, i[j].vlp_WKB, rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax, shading='auto')\n",
    "            ax0.xaxis.set_major_formatter(date_form)\n",
    "            ax0.set_xlim(i[0].start_date,i[0].end_date)\n",
    "            ax1.xaxis.set_major_formatter(date_form)\n",
    "            ax1.set_xlim(i[0].start_date,i[0].end_date)\n",
    "            ax0.hlines(y=-700, xmin=i[0].start_date,xmax=i[0].end_date, linewidth=1, color='black', ls='--')\n",
    "            ax1.hlines(y=-700, xmin=i[0].start_date,xmax=i[0].end_date, linewidth=1, color='black', ls='--')\n",
    "        elif k == 1:\n",
    "            im2 = ax2.pcolormesh(i[j].t_seg.values, -i[j].depth, i[j].ulp_WKB, rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax, shading='auto')\n",
    "            im3 = ax3.pcolormesh(i[j].t_seg.values, -i[j].depth, i[j].vlp_WKB, rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax, shading='auto')\n",
    "            ax2.xaxis.set_major_formatter(date_form)\n",
    "            ax2.set_xlim(i[0].start_date,i[0].end_date)\n",
    "            ax3.xaxis.set_major_formatter(date_form)\n",
    "            ax3.set_xlim(i[0].start_date,i[0].end_date)\n",
    "            ax2.hlines(y=-700, xmin=i[0].start_date,xmax=i[0].end_date, linewidth=1, color='black', ls='--')\n",
    "            ax3.hlines(y=-700, xmin=i[0].start_date,xmax=i[0].end_date, linewidth=1, color='black', ls='--')\n",
    "        elif k == 2:\n",
    "            im4 = ax4.pcolormesh(i[j].t_seg.values, -i[j].depth, i[j].ulp_WKB, rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax, shading='auto')\n",
    "            im5 = ax5.pcolormesh(i[j].t_seg.values, -i[j].depth, i[j].vlp_WKB, rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax, shading='auto')\n",
    "            ax4.xaxis.set_major_formatter(date_form)\n",
    "            ax4.set_xlim(i[0].start_date,i[0].end_date)\n",
    "            ax5.xaxis.set_major_formatter(date_form)\n",
    "            ax5.set_xlim(i[0].start_date,i[0].end_date)\n",
    "            ax4.hlines(y=-700, xmin=i[0].start_date,xmax=i[0].end_date, linewidth=1, color='black', ls='--')\n",
    "            ax5.hlines(y=-700, xmin=i[0].start_date,xmax=i[0].end_date, linewidth=1, color='black', ls='--')\n",
    "        elif k == 3:\n",
    "            im6 = ax6.pcolormesh(i[j].t_seg.values, -i[j].depth, i[j].ulp_WKB, rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax, shading='auto')\n",
    "            im7 = ax7.pcolormesh(i[j].t_seg.values, -i[j].depth, i[j].vlp_WKB, rasterized=True, cmap='cmo.balance', vmin=vmin, vmax=vmax, shading='auto')\n",
    "            ax6.xaxis.set_major_formatter(date_form)\n",
    "            ax6.set_xlim(i[0].start_date,i[0].end_date)\n",
    "            ax7.xaxis.set_major_formatter(date_form)\n",
    "            ax7.set_xlim(i[0].start_date,i[0].end_date)\n",
    "            ax6.hlines(y=-700, xmin=i[0].start_date,xmax=i[0].end_date, linewidth=1, color='black', ls='--')\n",
    "            ax7.hlines(y=-700, xmin=i[0].start_date,xmax=i[0].end_date, linewidth=1, color='black', ls='--')\n",
    "\n",
    "cbar1 = fig.colorbar(im1, ax=ax1, fraction=0.05, pad=0.01, aspect=15, extend='both')\n",
    "cbar3 = fig.colorbar(im3, ax=ax3, fraction=0.05, pad=0.01, aspect=15, extend='both')\n",
    "cbar5 = fig.colorbar(im5, ax=ax5, fraction=0.05, pad=0.01, aspect=15, extend='both')\n",
    "cbar7 = fig.colorbar(im7, ax=ax7, fraction=0.05, pad=0.01, aspect=15, extend='both')\n",
    "cbar1.ax.tick_params(labelsize=14)\n",
    "cbar3.ax.tick_params(labelsize=14)\n",
    "cbar5.ax.tick_params(labelsize=14)\n",
    "cbar7.ax.tick_params(labelsize=14)\n",
    "\n",
    "axs = [ax0,ax1,ax2,ax3,ax4,ax5,ax6,ax7]\n",
    "if site == 'Axis':\n",
    "    ax7.set_ylim(-950,-600)\n",
    "elif site == 'Slope':\n",
    "    ax7.set_ylim(-ds_2013[0].depth[-2],-40)\n",
    "    #ax7.set_ylim(-ds_2013[0].depth[-1],-ds_2013[0].depth[0])\n",
    "for i in axs:\n",
    "    i.patch.set_facecolor('grey')\n",
    "    i.tick_params(labelsize=14)\n",
    "\n",
    "plt.show()\n",
    "\n",
    "plt.savefig(fname=f'./plots/interannual_plots/lp_vel_{site}.pdf',format='pdf')"
   ]
  },
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