def plot_shaded_data(X,Y,variances,varianceX):
    """plot X and Y data, then shade its background by variance."""
    plt.plot(X,Y,color='k',lw=2)
    nChunks=int(len(Y)/CHUNK_POINTS)
    for i in range(0,100,PERCENT_STEP):
        varLimitLow=np.percentile(variances,i)
        varLimitHigh=np.percentile(variances,i+PERCENT_STEP)
        varianceIsAboveMin=np.where(variances>=varLimitLow)[0]
        varianceIsBelowMax=np.where(variances<=varLimitHigh)[0]
        varianceIsRange=[chunkNumber for chunkNumber in range(nChunks) \
                         if chunkNumber in varianceIsAboveMin \
                         and chunkNumber in varianceIsBelowMax]
        for chunkNumber in varianceIsRange:
            t1=chunkNumber*CHUNK_POINTS/POINTS_PER_SEC
            t2=t1+CHUNK_POINTS/POINTS_PER_SEC
            plt.axvspan(t1,t2,alpha=.3,color=COLORMAP(i/100),lw=0)
def plot_shaded_data(X,Y,variances,varianceX):
    
    plt.plot(X,Y,color='k',lw=2)
    nChunks=int(len(Y)/CHUNK_POINTS)
    for i in range(0,100,PERCENT_STEP):
        varLimitLow=np.percentile(variances,i)
        varLimitHigh=np.percentile(variances,i+PERCENT_STEP)
        varianceIsAboveMin=np.where(variances>=varLimitLow)[0]
        varianceIsBelowMax=np.where(variances<=varLimitHigh)[0]
        varianceIsRange=[chunkNumber for chunkNumber in range(nChunks) \
                         if chunkNumber in varianceIsAboveMin \
                         and chunkNumber in varianceIsBelowMax]
        for chunkNumber in varianceIsRange:
            t1=chunkNumber*CHUNK_POINTS/POINTS_PER_SEC
            t2=t1+CHUNK_POINTS/POINTS_PER_SEC
            plt.axvspan(t1,t2,alpha=.3,color=COLORMAP(i/100),lw=0)
def plot_shaded_data ( X , Y , variances , varianceX ) : plt . plot ( X , Y , color = 'k' , lw = 2 ) nChunks = int ( len ( Y ) / CHUNK_POINTS ) for i in range ( 0 , 100 , PERCENT_STEP ) : varLimitLow = np . percentile ( variances , i ) varLimitHigh = np . percentile ( variances , i + PERCENT_STEP ) varianceIsAboveMin = np . where ( variances >= varLimitLow ) [ 0 ] varianceIsBelowMax = np . where ( variances <= varLimitHigh ) [ 0 ] varianceIsRange = [ chunkNumber for chunkNumber in range ( nChunks ) if chunkNumber in varianceIsAboveMin and chunkNumber in varianceIsBelowMax ] for chunkNumber in varianceIsRange : t1 = chunkNumber * CHUNK_POINTS / POINTS_PER_SEC t2 = t1 + CHUNK_POINTS / POINTS_PER_SEC plt . axvspan ( t1 , t2 , alpha = .3 , color = COLORMAP ( i / 100 ) , lw = 0 )
plot X and Y data, then shade its background by variance.
plot X and Y data then shade its background by variance .