def gain(abf):
    """easy way to plot a gain function."""
    Ys=np.nan_to_num(swhlab.ap.getAvgBySweep(abf,'freq'))
    Xs=abf.clampValues(abf.dataX[int(abf.protoSeqX[1]+.01)])
    swhlab.plot.new(abf,title="gain function",xlabel="command current (pA)",
                    ylabel="average inst. freq. (Hz)")
    pylab.plot(Xs,Ys,'.-',ms=20,alpha=.5,color='b')
    pylab.axhline(0,alpha=.5,lw=2,color='r',ls="--")
    pylab.margins(.1,.1)
def gain(abf):
    """easy way to plot a gain function."""
    Ys=np.nan_to_num(swhlab.ap.getAvgBySweep(abf,'freq'))
    Xs=abf.clampValues(abf.dataX[int(abf.protoSeqX[1]+.01)])
    swhlab.plot.new(abf,title="gain function",xlabel="command current (pA)",
                    ylabel="average inst. freq. (Hz)")
    pylab.plot(Xs,Ys,'.-',ms=20,alpha=.5,color='b')
    pylab.axhline(0,alpha=.5,lw=2,color='r',ls="--")
    pylab.margins(.1,.1)
def gain ( abf ) : Ys = np . nan_to_num ( swhlab . ap . getAvgBySweep ( abf , 'freq' ) ) Xs = abf . clampValues ( abf . dataX [ int ( abf . protoSeqX [ 1 ] + .01 ) ] ) swhlab . plot . new ( abf , title = "gain function" , xlabel = "command current (pA)" , ylabel = "average inst. freq. (Hz)" ) pylab . plot ( Xs , Ys , '.-' , ms = 20 , alpha = .5 , color = 'b' ) pylab . axhline ( 0 , alpha = .5 , lw = 2 , color = 'r' , ls = "--" ) pylab . margins ( .1 , .1 )
easy way to plot a gain function.
easy way to plot a gain function .