EISCATdataPlotter.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "35f5b1b5",
   "metadata": {},
   "outputs": [],
   "source": [
    "'''\n",
    "This Jupyter notebook plots altitude profiles of the data of Tromso EISCAT radar.\n",
    "\n",
    "The file data_2009_2019_TS.mat contains a matlab struct jouleMedians with the following elements:\n",
    "  jouleMedians.h\t\t  centres of altitude grid points (km)\n",
    "  jouleMedian.mltbins\t  limits of the MLT bins (hours)\n",
    "  jouleMedians.KPbins\t  limits of the KP bins\n",
    "  jouleMedians.q\t\t  the Joule heating rate profiles (W/m^3)\n",
    "The array jouleMedians.q is an NKP x NMLT x Nh array:\n",
    "  - NKP is the number of KP bins (3)\n",
    "  - NMLT is the number of MLT bins (4)\n",
    "  - Nh is the number of altitude bins (256). \n",
    "Ex: the profile of the 1st KP (KP<=2) bin and the 2nd MLT bin (21-03 MLT) is jouleMedians.q(1,2,:).\n",
    "The medians are calculated from EISCAT UHF radar data at Tromso, Norway at 67 deg MLAT.\n",
    "\n",
    "The file EISCAT_JH_percentiles.mat contains a matlab struct joulePercentiles with the following elements:\n",
    "  joulePercentiles.h\t      centres of altitude grid points (km)\n",
    "  jouleMedian.mltbins\t      limits of the MLT bins (hours)\n",
    "  joulePercentiles.KPbins\t  limits of the KP bins\n",
    "  joulePercentiles.q\t      the Joule heating rate profiles (W/m^3)\n",
    "  joulePercentiles.percentiles  the percentiles (%)\n",
    "The array joulePercentiles.q is an NKP x NMLT x Nh x N% array:\n",
    "  - NKP is the number of KP bins (3), \n",
    "  - NMLT is the number of MLT bins (4), \n",
    "  - Nh is the number of altitude bins (256), \n",
    "  - N% is the number of percentiles (5). \n",
    "Ex: the median profile of the 1st KP (KP<=2) bin and 2nd MLT bin (21-03 MLT) is joulePercentiles.q(1,2,:,3), \n",
    "    and the 10th perentile of the same data is joulePercentiles.q(1,2,:,1).\n",
    "\n",
    "'''\n",
    "import math\n",
    "import numpy as np\n",
    "import scipy.io\n",
    "\n",
    "import plotly\n",
    "import chart_studio.plotly as py \n",
    "import plotly.graph_objects as go\n",
    "import plotly.figure_factory as ff\n",
    "from plotly.subplots import make_subplots\n",
    "\n",
    "def plotEISCAT( VariableName ):\n",
    "    '''\n",
    "    Args:\n",
    "        VariableName (string): The physical variable on which the calculation has been applied. Valied values: \"Joule Heating\" or \"Pedersen Conductivity\"\n",
    "    '''\n",
    "    matlabStruct = scipy.io.loadmat('./EISCAT_DATA/data_2009_2019_TS.mat')\n",
    "    \n",
    "    allALTs = np.array( matlabStruct[ 'data_2009_2019_TS' ][0][0][0] ).flatten()\n",
    "    allKPs  = list( np.array( matlabStruct[ 'data_2009_2019_TS' ][0][0][1][0] ) )\n",
    "    allMLTs = list( np.array( matlabStruct[ 'data_2009_2019_TS' ][0][0][2][0] )[:-1] )\n",
    "    allJHs  = np.array( matlabStruct[ 'data_2009_2019_TS' ][0][0][3] )\n",
    "    allPEDs = np.array( matlabStruct[ 'data_2009_2019_TS' ][0][0][4] )\n",
    "    \n",
    "    print( \"Altitudes:\", allALTs[0], allALTs[1], \"...\", allALTs[-1] )\n",
    "    print( \"KPs:\", allKPs  )\n",
    "    print( \"MLTs:\", allMLTs )\n",
    "    print( \"JHs shape:\", allJHs.shape )\n",
    "    print( \"PEDs shape:\", allPEDs.shape )\n",
    "    print( \"\" )\n",
    "    \n",
    "    if VariableName == \"Joule Heating\":\n",
    "        Values = allJHs\n",
    "        x_axes_range=[0, 20]\n",
    "        MultiplicationFactor = 10**8 \n",
    "        new_units = \"10^-8 W/m3\"\n",
    "    elif VariableName == \"Pedersen Conductivity\":\n",
    "        Values = allPEDs\n",
    "        x_axes_range=[0, 0.4]\n",
    "        MultiplicationFactor = 10**3 \n",
    "        new_units = \"mS/m\"\n",
    "    else:\n",
    "        print( \"ERROR: Invalid Variable Name.\" )\n",
    "    \n",
    "    ALTsequence =  allALTs\n",
    "    MLTsequence = allMLTs\n",
    "    KPsequence = [ 0, 2, 4 ] \n",
    "    MLT_duration_of_a_profile = 6\n",
    "    \n",
    "    # alter visibleALTsequence so that the point is displayed in the middle of the sub-bin\n",
    "    visibleALTsequence = ALTsequence.copy()\n",
    "    for i in range(1, len(visibleALTsequence)-1):\n",
    "        visibleALTsequence[i] += 0.5\n",
    "    \n",
    "    # plot\n",
    "    Color10 = '#00FFAA' #'#c4dfe6'\n",
    "    Color25 = '#00DCAA' #'#a1d6e2'\n",
    "    Color50 = '#008C78' #'#1995ad'\n",
    "    Color75 = '#00DCAA' #'#a1d6e2'\n",
    "    Color90 = '#00FFAA' #'#c4dfe6'\n",
    "    \n",
    "    # construct the column MLT titles #(\"0-3\", \"3-6\", \"6-9\", \"9-12\", \"12-15\", \"15-18\", \"18-21\", \"21-24\")\n",
    "    ColumnTitles = list()\n",
    "    \n",
    "    for i in range(0, len(MLTsequence)):\n",
    "        s =  \"MLT \"\n",
    "        if( MLTsequence[i] > 24 ):\n",
    "            s += str(MLTsequence[i]-24)\n",
    "        else:\n",
    "            s += str(MLTsequence[i])\n",
    "        s += \"-\";\n",
    "        if( MLTsequence[i]+MLT_duration_of_a_profile > 24 ):\n",
    "            s += str(MLTsequence[i]+MLT_duration_of_a_profile-24) \n",
    "        else:\n",
    "            s += str(MLTsequence[i]+MLT_duration_of_a_profile) \n",
    "        ColumnTitles.append( s )\n",
    "    # define secondary y-axis at the right of the plot\n",
    "    mySpecs = list()\n",
    "    for row in range(0, len(KPsequence)):\n",
    "        mySpecs.append( list() )\n",
    "        for col in range(0, len(MLTsequence)):\n",
    "            mySpecs[row].append( {\"secondary_y\": True} )\n",
    "\n",
    "    #make plot\n",
    "    if VariableName == \"Joule Heating\": \n",
    "        XXtitle = 'Joule heating (10<sup>-8</sup> W/m<sup>3</sup>)'\n",
    "    elif VariableName == \"Pedersen Conductivity\":\n",
    "        XXtitle = 'Pedersen conductivity (mS/m)'\n",
    "    fig = make_subplots(rows=len(KPsequence), cols=len(MLTsequence), x_title=XXtitle, shared_xaxes=True, shared_yaxes=True, vertical_spacing=0.035, horizontal_spacing=0.02, subplot_titles=ColumnTitles, specs=mySpecs)\n",
    "    \n",
    "    # set fonts\n",
    "    fig.update_layout( font=dict( family=\"arial black\", size=22 ) )\n",
    "    fig.update_annotations( font=dict( family=\"arial black\", size=24 ) )\n",
    "    #fig.update_xaxes(title_font_family=\"Arial black\", title_font_size=20)\n",
    "    #fig.update_yaxes(title_font_family=\"Arial black\", title_font_size=20)\n",
    "    fig.update_xaxes(tickfont_size=22)\n",
    "    fig.update_yaxes(tickfont_size=22)\n",
    "    fig.layout.annotations[4][\"font\"] = {'size': 30}  # this is the XXtitle at the bottom\n",
    "    \n",
    "    \n",
    "    for aKP in KPsequence:\n",
    "        for aMLT in MLTsequence:\n",
    "            #Means = list()\n",
    "            Percentiles10 = list()\n",
    "            Percentiles25 = list()\n",
    "            Percentiles50 = list()            \n",
    "            Percentiles75 = list()\n",
    "            Percentiles90 = list()\n",
    "            hits  = 0\n",
    "            \n",
    "            # compute percentiles\n",
    "            Percentiles10 = Values[KPsequence.index(aKP), MLTsequence.index(aMLT), :, 0] * MultiplicationFactor\n",
    "            Percentiles25 = Values[KPsequence.index(aKP), MLTsequence.index(aMLT), :, 1] * MultiplicationFactor\n",
    "            Percentiles50 = Values[KPsequence.index(aKP), MLTsequence.index(aMLT), :, 2] * MultiplicationFactor #Percentiles50 = JHmedians[1,1,:] * MultiplicationFactor \n",
    "            Percentiles75 = Values[KPsequence.index(aKP), MLTsequence.index(aMLT), :, 3] * MultiplicationFactor\n",
    "            Percentiles90 = Values[KPsequence.index(aKP), MLTsequence.index(aMLT), :, 4] * MultiplicationFactor\n",
    "            \n",
    "            fig.add_trace( go.Scatter(x=[0]*len(visibleALTsequence), y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor=Color10, line=dict(color='gray',width=1,), showlegend=False), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1 )\n",
    "            fig.add_trace( go.Scatter(x=Percentiles10, y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor=Color10, line=dict(color='gray',width=1,), showlegend=False), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1 )\n",
    "            fig.add_trace( go.Scatter(x=Percentiles25, y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor=Color25, line=dict(color='gray',width=1,), showlegend=False), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1 )\n",
    "            fig.add_trace( go.Scatter(x=Percentiles50, y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor=Color50, line=dict(color='black',width=2,), showlegend=False), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1 )\n",
    "            # plot mean\n",
    "            #fig.add_trace( go.Scatter(x=Means, y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor='black', line=dict(color='black',width=1,), showlegend=False), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1 )\n",
    "            # plot percentiles\n",
    "            fig.add_trace( go.Scatter(x=Percentiles75, y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor=Color75, line=dict(color='gray',width=1,), showlegend=False), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1 )\n",
    "            fig.add_trace( go.Scatter(x=Percentiles90, y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor=Color90, line=dict(color='gray',width=1,), showlegend=False), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1,  )\n",
    "            # add a trace in order to display secondary y-axis at the right\n",
    "            fig.add_trace( go.Scatter(x=[-1000], y=[-1000], showlegend=False), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1, secondary_y=True )\n",
    "            \n",
    "            \n",
    "            # compute maximums of median\n",
    "            PanelMax = 0\n",
    "            Alt_of_Max = 0\n",
    "            for i in range (0,len(ALTsequence)):\n",
    "                if PanelMax < Percentiles50[i] * MultiplicationFactor:\n",
    "                    PanelMax = Percentiles50[i] * MultiplicationFactor\n",
    "                    Alt_of_Max = ALTsequence[i]\n",
    "            print( \"MAXIMUM at\", aKP, aMLT, \":\", PanelMax, \"at\", Alt_of_Max, \"km\" )\n",
    "            #fig.add_annotation(xref='x domain', yref='y domain', x=0.97, y=0.90, text=F\"max at <b>{int(Alt_of_Max)}-{int(Alt_of_Max+1)}km</b>\", showarrow=False, row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1, font=dict(color=\"red\") )\n",
    "            \n",
    "            \n",
    "            # CALCULATE area under median curve\n",
    "            area = 0.0\n",
    "            for i in range(0, len(Percentiles50)):\n",
    "                if math.isnan(Percentiles50[i]) == False: \n",
    "                    if VariableName == \"Joule Heating\": \n",
    "                        area += Percentiles50[i]*0.01; #area += Percentiles50[i]*1000 * math.pow(10,-8) * 1000;\n",
    "                    else: \n",
    "                        area += Percentiles50[i];\n",
    "            if VariableName == \"Joule Heating\":\n",
    "                print ( aKP, aMLT, \"Height Integration of Median:\", round(area,2), \"mW/m2\")\n",
    "                fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=0, text=F\"<b>{round(area,2)}&nbsp;mW/m<sup>2</sup></b>\", showarrow=False, row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1, font=dict(color=Color50) )\n",
    "            else:\n",
    "                print ( aKP, aMLT, \"Height Integration of Median:\", round(area,2), \"S\")\n",
    "                fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=0, text=F\"<b>{round(area,2)}&nbsp;S</b>\", showarrow=False, row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1, font=dict(color=Color50) )\n",
    "            \n",
    "    # display legends\n",
    "    '''\n",
    "    fig.add_trace( go.Scatter(name='10th Perc.', x=Percentiles10, y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor=Color10, line=dict(color='gray',width=1,), showlegend=True), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1 )\n",
    "    fig.add_trace( go.Scatter(name='25th Perc.', x=Percentiles25, y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor=Color25, line=dict(color='gray',width=1,), showlegend=True), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1 )\n",
    "    fig.add_trace( go.Scatter(name='50th Perc.', x=Percentiles50, y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor=Color50, line=dict(color='black',width=2,), showlegend=True), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1 )\n",
    "    #fig.add_trace( go.Scatter(name='Mean value', x=Means, y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor='#5cc5ef', line=dict(color='black',width=1,), showlegend=True), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1 )            \n",
    "    fig.add_trace( go.Scatter(name='75th Perc.', x=Percentiles75, y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor=Color75, line=dict(color='gray',width=1,), showlegend=True), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1 )\n",
    "    fig.add_trace( go.Scatter(name='90th Perc.', x=Percentiles90, y=visibleALTsequence, mode='lines', fill='tonexty', fillcolor=Color90, line=dict(color='gray',width=1,), showlegend=True), row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1 )\n",
    "    '''\n",
    "\n",
    "    fig.update_xaxes( range=x_axes_range, row=1, col=1)\n",
    "    fig.update_xaxes( range=x_axes_range, row=1, col=2)\n",
    "    fig.update_xaxes( range=x_axes_range, row=1, col=3)\n",
    "    fig.update_xaxes( range=x_axes_range, row=1, col=4)\n",
    "    \n",
    "    fig.update_xaxes( range=x_axes_range, row=2, col=1)\n",
    "    fig.update_xaxes( range=x_axes_range, row=2, col=2)\n",
    "    fig.update_xaxes( range=x_axes_range, row=2, col=3)\n",
    "    fig.update_xaxes( range=x_axes_range, row=2, col=4)\n",
    "    \n",
    "    fig.update_xaxes( range=x_axes_range, row=3, col=1)\n",
    "    fig.update_xaxes( range=x_axes_range, row=3, col=2)\n",
    "    fig.update_xaxes( range=x_axes_range, row=3, col=3)\n",
    "    fig.update_xaxes( range=x_axes_range, row=3, col=4)\n",
    "    \n",
    "    \n",
    "    for aKP in KPsequence:\n",
    "        fig.update_yaxes( title_text=\"Altitude(km)\", row=KPsequence.index(aKP)+1, col=1, side='left', secondary_y=False)\n",
    "        row_title = \"Kp \" + str(aKP) + \" - \"\n",
    "        if aKP == 0:\n",
    "            row_title +=  \"2\"\n",
    "        elif aKP == 2:\n",
    "            row_title +=  \"4\"\n",
    "        else:\n",
    "            row_title +=  \"9\"\n",
    "        fig.update_yaxes( title_text=row_title, row=KPsequence.index(aKP)+1, col=len(MLTsequence),  side='right', secondary_y=True, showticklabels=False )\n",
    "        for aMLT in MLTsequence:\n",
    "            fig.update_yaxes( row=KPsequence.index(aKP)+1, col=MLTsequence.index(aMLT)+1, secondary_y=True, showticklabels=False )\n",
    "    #fig.update_xaxes( range=x_axes_range )\n",
    "    fig.update_yaxes( range=[80, 150], tick0=90, dtick=20 )  \n",
    "    # title = \"EISCAT\" + \"  \" + \"Alt.Prof. of \" + VariableName + \" (\" + new_units + \")\"\n",
    "    fig.update_layout( title='EISCAT (2009-2019)' , title_font_color=Color50,\n",
    "                       width=400+len(MLTsequence)*250, height=200+200*len(KPsequence), showlegend=True, legend_orientation=\"h\", legend_y=-0.04) \n",
    "\n",
    "    \n",
    "    # Add annotations to each subplot regarding the number of samples \n",
    "    if VariableName==\"Joule Heating\":\n",
    "        # number of meassurements\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={4912}\", showarrow=False, row=1, col=1)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={3030}\", showarrow=False, row=1, col=2)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={1964}</b>\" , showarrow=False, row=1, col=3)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={5658}\", showarrow=False, row=1, col=4)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={2320}\", showarrow=False, row=2, col=1)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={1662}</b>\" , showarrow=False, row=2, col=2)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={1346}</b>\" , showarrow=False, row=2, col=3)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={2470}</b>\" , showarrow=False, row=2, col=4)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={196}</b>\"  , showarrow=False, row=3, col=1)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={158}</b>\"  , showarrow=False, row=3, col=2)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={150}</b>\"  , showarrow=False, row=3, col=3)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={72}</b>\"  , showarrow=False, row=3, col=4)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "    else:\n",
    "        # number of meassurements\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={7118}\", showarrow=False, row=1, col=1)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={4258}\", showarrow=False, row=1, col=2)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={3150}</b>\" , showarrow=False, row=1, col=3)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={6020}\", showarrow=False, row=1, col=4)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={2804}\", showarrow=False, row=2, col=1)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={1886}</b>\" , showarrow=False, row=2, col=2)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={1442}</b>\" , showarrow=False, row=2, col=3)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={2530}</b>\" , showarrow=False, row=2, col=4)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={210}</b>\"  , showarrow=False, row=3, col=1)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={164}</b>\"  , showarrow=False, row=3, col=2)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={150}</b>\"  , showarrow=False, row=3, col=3)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        fig.add_annotation(xref='x domain', yref='y domain', x=0.99, y=1.0, text=F\"N={74}</b>\"  , showarrow=False, row=3, col=4)\n",
    "        fig.layout.annotations[-1][\"font\"] = {'family':'arial', 'size':18}\n",
    "        \n",
    "    plotly.offline.init_notebook_mode(connected=True)\n",
    "    plotly.offline.iplot(fig ) \n",
    "\n",
    "    # plot more zoom versions\n",
    "    '''\n",
    "    new_x_axes_range = [x * (2/3) for x in x_axes_range]\n",
    "    fig.update_xaxes( range=new_x_axes_range )\n",
    "    plotly.offline.iplot(fig) \n",
    "    new_x_axes_range = [x * (1/2) for x in x_axes_range]\n",
    "    fig.update_xaxes( range=new_x_axes_range )\n",
    "    plotly.offline.iplot(fig) \n",
    "    new_x_axes_range = [x * (3/2) for x in x_axes_range]\n",
    "    fig.update_xaxes( range=new_x_axes_range )\n",
    "    plotly.offline.iplot(fig) \n",
    "    new_x_axes_range = [x * (2.5) for x in x_axes_range]\n",
    "    fig.update_xaxes( range=new_x_axes_range )\n",
    "    plotly.offline.iplot(fig) \n",
    "    new_x_axes_range = [x * (10) for x in x_axes_range]\n",
    "    fig.update_xaxes( range=new_x_axes_range )\n",
    "    plotly.offline.iplot(fig) \n",
    "    '''\n",
    "    \n",
    "plotEISCAT(\"Joule Heating\")\n",
    "plotEISCAT(\"Pedersen Conductivity\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "129ce07b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "abbe34be",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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