doc/uses/EPSCs-and-IPSCs/variance method/2016-12-16 tryout2.py
def ndist(data,Xs):
    """
    given some data and a list of X posistions, return the normal
    distribution curve as a Y point at each of those Xs.
    """
    sigma=np.sqrt(np.var(data))
    center=np.average(data)
    curve=mlab.normpdf(Xs,center,sigma)
    curve*=len(data)*HIST_RESOLUTION
    return curve
def ndist(data,Xs):
    """
    given some data and a list of X posistions, return the normal
    distribution curve as a Y point at each of those Xs.
    """
    sigma=np.sqrt(np.var(data))
    center=np.average(data)
    curve=mlab.normpdf(Xs,center,sigma)
    curve*=len(data)*HIST_RESOLUTION
    return curve
def ndist ( data , Xs ) : sigma = np . sqrt ( np . var ( data ) ) center = np . average ( data ) curve = mlab . normpdf ( Xs , center , sigma ) curve *= len ( data ) * HIST_RESOLUTION return curve
given some data and a list of X posistions, return the normal
    distribution curve as a Y point at each of those Xs.
given some data and a list of X posistions return the normal distribution curve as a Y point at each of those Xs .