pyair/stats.py
def correlation(a, b):
    """Computes the correlation between a and b, says the Pearson's correlation
    coefficient R
    """
    diff1 = a - a.mean()
    diff2 = b - b.mean()
    return (diff1 * diff2).mean() / (np.sqrt(np.square(diff1).mean() * np.square(diff2).mean()))
def correlation(a, b):
    """Computes the correlation between a and b, says the Pearson's correlation
    coefficient R
    """
    diff1 = a - a.mean()
    diff2 = b - b.mean()
    return (diff1 * diff2).mean() / (np.sqrt(np.square(diff1).mean() * np.square(diff2).mean()))
def correlation ( a , b ) : diff1 = a - a . mean ( ) diff2 = b - b . mean ( ) return ( diff1 * diff2 ) . mean ( ) / ( np . sqrt ( np . square ( diff1 ) . mean ( ) * np . square ( diff2 ) . mean ( ) ) )
Computes the correlation between a and b, says the Pearson's correlation
    coefficient R
Computes the correlation between a and b says the Pearson s correlation coefficient R