How to use the netpyne.analysis.utils.exception function in netpyne

@exception
def plotRaster (include = ['allCells'], timeRange = None, maxSpikes = 1e8, orderBy = 'gid', orderInverse = False, labels = 'legend', popRates = False,
        spikeHist=None, spikeHistBin=5, syncLines=False, lw=2, marker='|', markerSize=5, popColors=None, figSize=(10, 8), fontSize=12,
        dpi = 100, saveData = None, saveFig = None, showFig = True):
    '''
    Raster plot of network cells
        - include (['all',|'allCells',|'allNetStims',|,120,|,'E1'|,('L2', 56)|,('L5',[4,5,6])]): Cells to include (default: 'allCells')
        - timeRange ([start:stop]): Time range of spikes shown; if None shows all (default: None)
        - maxSpikes (int): maximum number of spikes that will be plotted  (default: 1e8)
        - orderBy ('gid'|'y'|'ynorm'|...): Unique numeric cell property to order y-axis by, e.g. 'gid', 'ynorm', 'y' (default: 'gid')
        - orderInverse (True|False): Invert the y-axis order (default: False)
        - labels = ('legend', 'overlay'): Show population labels in a legend or overlayed on one side of raster (default: 'legend')
        - popRates = (True|False): Include population rates (default: False)
        - spikeHist (None|'overlay'|'subplot'): overlay line over raster showing spike histogram (spikes/bin) (default: False)
        - spikeHistBin (int): Size of bin in ms to use for histogram (default: 5)
        - syncLines (True|False): calculate synchorny measure and plot vertical lines for each spike to evidence synchrony (default: False)
        - lw (integer): Line width for each spike (default: 2)

@exception
def plotLFP (electrodes = ['avg', 'all'], plots = ['timeSeries', 'PSD', 'spectrogram', 'locations'], timeRange=None, NFFT=256, noverlap=128, 
    nperseg=256, minFreq=1, maxFreq=100, stepFreq=1, smooth=0, separation=1.0, includeAxon=True, logx=False, logy=False, norm=False, dpi=200, overlay=False, filtFreq = False, filtOrder=3, detrend=False, specType='morlet', fontSize=14, colors = None, maxPlots=8, lineWidth=1.5, figSize = (8,8), saveData = None, saveFig = None, showFig = True): 
    ''' 
    Plot LFP
        - electrodes (list): List of electrodes to include; 'avg'=avg of all electrodes; 'all'=each electrode separately (default: ['avg', 'all'])
        - plots (list): list of plot types to show (default: ['timeSeries', 'PSD', 'timeFreq', 'locations']) 
        - timeRange ([start:stop]): Time range of spikes shown; if None shows all (default: None)
        - NFFT (int, power of 2): Number of data points used in each block for the PSD and time-freq FFT (default: 256)
        - noverlap (int, 

@exception
def popAvgRates (trange = None, show = True):
    from .. import sim

    if not hasattr(sim, 'allSimData') or 'spkt' not in sim.allSimData:
        print('Error: sim.allSimData not available; please call sim.gatherData()')
        return None

    spkts = sim.allSimData['spkt']
    spkids = sim.allSimData['spkid']

    if not trange:
        trange = [0, sim.cfg.duration]
    else:
        spkids,spkts = list(zip(*[(spkid,spkt) for spkid,spkt in zip(spkids,spkts) if trange[0] <= spkt <= trange[1]]))

    avgRates = Dict()

@exception
def plotShape (includePost = ['all'], includePre = ['all'], showSyns = False, showElectrodes = False, synStyle = '.', synSiz=3, dist=0.6, cvar=None, cvals=None, 
    iv=False, ivprops=None, includeAxon=True, bkgColor = None, figSize = (10,8), saveData = None, dpi = 300, saveFig = None, showFig = True): 
    ''' 
    Plot 3D cell shape using NEURON Interview PlotShape
        - includePre: (['all',|'allCells','allNetStims',|,120,|,'E1'|,('L2', 56)|,('L5',[4,5,6])]): List of presynaptic cells to consider 
        when plotting connections (default: ['all'])
        - includePost: (['all',|'allCells','allNetStims',|,120,|,'E1'|,('L2', 56)|,('L5',[4,5,6])]): List of cells to show shape of (default: ['all'])
        - showSyns (True|False): Show synaptic connections in 3D view (default: False)
        - showElectrodes (True|False): Show LFP electrodes in 3D view (default: False)
        - synStyle: Style of marker to show synapses (default: '.') 
        - dist: 3D distance (like zoom) (default: 0.6)
        - synSize: Size of marker to show synapses (default: 3)
        - cvar: ('numSyns'|'weightNorm') Variable to represent in shape plot (default: None)
        - cvals: List of values to represent in shape plot; must be same as num segments (default: None)
        - iv: Use NEURON Interviews (instead of matplotlib) to show shape plot (default: None)
        - ivprops: Dict of properties to plot using Interviews (default: None)

@exception
def plotSpikeStats (include = ['allCells', 'eachPop'], statDataIn = {}, timeRange = None, graphType='boxplot', stats = ['rate', 'isicv'], bins = 50,
                 popColors = [], histlogy = False, histlogx = False, histmin = 0.0, density = False, includeRate0=False, legendLabels = None, normfit = False,
                  histShading=True, xlim = None, dpi = 100, figSize = (6,8), fontSize=12, saveData = None, saveFig = None, showFig = True, **kwargs): 
    ''' 
    Plot spike histogram
        - include (['all',|'allCells','allNetStims',|,120,|,'E1'|,('L2', 56)|,('L5',[4,5,6])]): List of data series to include. 
            Note: one line per item, not grouped (default: ['allCells', 'eachPop'])
        - timeRange ([start:stop]): Time range of spikes shown; if None shows all (default: None)
        - graphType ('boxplot', 'histogram'): Type of graph to use (default: 'boxplot')
        - stats (['rate', |'isicv'| 'sync'| 'pairsync']): Measure to plot stats on (default: ['rate', 'isicv'])
        - bins (int or list of edges): Number of bins (if integer) of edges (if list) for histogram (default: 50)
        - popColors (dict): Dictionary with color (value) used for each population (key) (default: None)
        - figSize ((width, height)): Size of figure (default: (10,8))
        - saveData (None|True|'fileName'): File name where to save the final data used to generate the figure;
            if set to True uses filename from simConfig (default: None)
        - saveFig (None|True|'fileName'): File name where to save the figure;

@exception
def iplotDipole(expData={'label': 'Experiment', 'x':[], 'y':[]}, showFig=False):
    '''
    expData: experimental data; a dict with ['x'] and ['y'] 1-d vectors (either lists or np.arrays) of same length
    showFig: show output figure in web browser (default: None)
    '''
    from .. import sim
    from bokeh.plotting import figure, show
    from bokeh.resources import CDN
    from bokeh.embed import file_html
    from bokeh.layouts import layout

    TOOLS = "pan,wheel_zoom,box_zoom,reset,save,box_select"

    fig = figure(title="Dipole Plot", tools=TOOLS, toolbar_location='above', x_axis_label="Time (ms)", y_axis_label='Dipole (nAM x 3000)')

@exception
def plot2Dnet (include = ['allCells'], figSize = (12,12), view = 'xy', showConns = True, popColors = None, fontSize = 12,
                tagsFile = None, saveData = None, saveFig = None, showFig = True): 
    ''' 
    Plot 2D representation of network cell positions and connections
        - include (['all',|'allCells','allNetStims',|,120,|,'E1'|,('L2', 56)|,('L5',[4,5,6])]): Cells to show (default: ['all'])
        - showConns (True|False): Whether to show connections or not (default: True)
        - figSize ((width, height)): Size of figure (default: (12,12))
        - view ('xy', 'xz'): Perspective view: front ('xy') or top-down ('xz')
        - popColors (dict): Dictionary with color (value) used for each population (key) (default: None)
        - saveData (None|'fileName'): File name where to save the final data used to generate the figure (default: None)
        - saveFig (None|'fileName'): File name where to save the figure;
            if set to True uses filename from simConfig (default: None)(default: None)
        - showFig (True|False): Whether to show the figure or not;
            if set to True uses filename from simConfig (default: None)

        - Returns figure handles

@exception
def plotConn (includePre = ['all'], includePost = ['all'], feature = 'strength', orderBy = 'gid', figSize = (10,10), groupBy = 'pop', groupByIntervalPre = None, groupByIntervalPost = None, graphType = 'matrix', synOrConn = 'syn', synMech = None, connsFile = None, tagsFile = None, clim = None, fontSize = 12, saveData = None, saveFig = None, showFig = True): 
    ''' 
    Plot network connectivity
        - includePre (['all',|'allCells','allNetStims',|,120,|,'E1'|,('L2', 56)|,('L5',[4,5,6])]): Cells to show (default: ['all'])
        - includePost (['all',|'allCells','allNetStims',|,120,|,'E1'|,('L2', 56)|,('L5',[4,5,6])]): Cells to show (default: ['all'])
        - feature ('weight'|'delay'|'numConns'|'probability'|'strength'|'convergence'|'divergence'): Feature to show in connectivity matrix; 
            the only features applicable to groupBy='cell' are 'weight', 'delay' and 'numConns';  'strength' = weight * probability (default: 'strength')
        - groupBy ('pop'|'cell'|'y'|: Show matrix for individual cells, populations, or by other numeric tag such as 'y' (default: 'pop')
        - groupByInterval (int or float): Interval of groupBy feature to group cells by in conn matrix, e.g. 100 to group by cortical depth in steps of 100 um   (default: None)
        - orderBy ('gid'|'y'|'ynorm'|...): Unique numeric cell property to order x and y axes by, e.g. 'gid', 'ynorm', 'y' (requires groupBy='cells') (default: 'gid')
        - graphType ('matrix','bar','pie'): Type of graph to represent data (default: 'matrix')
        - synOrConn ('syn'|'conn'): Use synapses or connections; note 1 connection can have multiple synapses (default: 'syn')
        - figSize ((width, height)): Size of figure (default: (10,10))
        - synMech (['AMPA', 'GABAA',...]): Show results only for these syn mechs (default: None)
        - saveData (None|True|'fileName'): File name where to save the final data used to generate the figure; 
            if set to True uses filename from simConfig (default: None)

@exception
def plotSpikeHist (include = ['allCells', 'eachPop'], timeRange = None, binSize = 5, overlay=True, graphType='line', yaxis = 'rate',
    popColors = [], norm = False, dpi = 100, figSize = (10,8), smooth=None, filtFreq = False, filtOrder=3, axis = 'on', saveData = None,
    saveFig = None, showFig = True, **kwargs):
    '''
    Plot spike histogram
        - include (['all',|'allCells','allNetStims',|,120,|,'E1'|,('L2', 56)|,('L5',[4,5,6])]): List of data series to include.
            Note: one line per item, not grouped (default: ['allCells', 'eachPop'])
        - timeRange ([start:stop]): Time range of spikes shown; if None shows all (default: None)
        - binSize (int): Size in ms of each bin (default: 5)
        - overlay (True|False): Whether to overlay the data lines or plot in separate subplots (default: True)
        - graphType ('line'|'bar'): Type of graph to use (line graph or bar plot) (default: 'line')
        - yaxis ('rate'|'count'): Units of y axis (firing rate in Hz, or spike count) (default: 'rate')
        - popColors (dict): Dictionary with color (value) used for each population (key) (default: None)
        - figSize ((width, height)): Size of figure (default: (10,8))
        - saveData (None|True|'fileName'): File name where to save the final data used to generate the figure;
            if set to True uses filename from simConfig (default: None)

@exception
def plotRatePSD(include=['allCells', 'eachPop'], timeRange=None, binSize=5, minFreq=1, maxFreq=100, stepFreq=1, NFFT=256, noverlap=128, smooth=0, overlay=True, ylim = None, transformMethod = 'morlet', popColors = {}, lineWidth = 1.5, fontSize=12, figSize=(10,8), saveData=None, saveFig=None, showFig=True): 
    ''' 
    Plot firing rate power spectral density (PSD)
        - include (['all',|'allCells','allNetStims',|,120,|,'E1'|,('L2', 56)|,('L5',[4,5,6])]): List of data series to include. 
            Note: one line per item, not grouped (default: ['allCells', 'eachPop'])
        - timeRange ([start:stop]): Time range of spikes shown; if None shows all (default: None)
        - binSize (int): Size in ms of spike bins (default: 5)
        - maxFreq (float): Maximum frequency to show in plot (default: 100)
        - transformMethod ('morlet'|'fft')
        - NFFT (float): The number of data points used in each block for the FFT (power of 2) (default: 256)
        - smooth (int): Window size for smoothing; no smoothing if 0 (default: 0)
        - overlay (True|False): Whether to overlay the data lines or plot in separate subplots (default: True)
        - graphType ('line'|'bar'): Type of graph to use (line graph or bar plot) (default: 'line')
        - yaxis ('rate'|'count'): Units of y axis (firing rate in Hz, or spike count) (default: 'rate')
        - popColors (dict): Dictionary with color (value) used for each population (key) (default: None)
        - figSize ((width, height)): Size of figure (default: (10,8))