def chisquare(observe, expect, error, ddof, verbose=True):
    """
    Finds the reduced chi square difference of *observe* and *expect* with a given *error* and *ddof* degrees of freedom.

    *verbose* flag determines if the reduced chi square is printed to the terminal. 
    """
    chisq = 0
    error   = error.flatten()
    observe = observe.flatten()
    expect  = expect.flatten()
    for i, el in enumerate(observe):
        chisq = chisq + _np.power((el - expect[i]) / error[i], 2)

    red_chisq = chisq / (len(observe) - ddof)
    if verbose:
        # print 'Chi-Squared is {}.'.format(chisq)
        print('Reduced Chi-Squared is {}.'.format(red_chisq))

    return red_chisq
def chisquare(observe, expect, error, ddof, verbose=True):
    """
    Finds the reduced chi square difference of *observe* and *expect* with a given *error* and *ddof* degrees of freedom.

    *verbose* flag determines if the reduced chi square is printed to the terminal. 
    """
    chisq = 0
    error   = error.flatten()
    observe = observe.flatten()
    expect  = expect.flatten()
    for i, el in enumerate(observe):
        chisq = chisq + _np.power((el - expect[i]) / error[i], 2)

    red_chisq = chisq / (len(observe) - ddof)
    if verbose:
        # print 'Chi-Squared is {}.'.format(chisq)
        print('Reduced Chi-Squared is {}.'.format(red_chisq))

    return red_chisq
def chisquare ( observe , expect , error , ddof , verbose = True ) : chisq = 0 error = error . flatten ( ) observe = observe . flatten ( ) expect = expect . flatten ( ) for i , el in enumerate ( observe ) : chisq = chisq + _np . power ( ( el - expect [ i ] ) / error [ i ] , 2 ) red_chisq = chisq / ( len ( observe ) - ddof ) if verbose : # print 'Chi-Squared is {}.'.format(chisq) print ( 'Reduced Chi-Squared is {}.' . format ( red_chisq ) ) return red_chisq
Finds the reduced chi square difference of *observe* and *expect* with a given *error* and *ddof* degrees of freedom.

    *verbose* flag determines if the reduced chi square is printed to the terminal.
Finds the reduced chi square difference of * observe * and * expect * with a given * error * and * ddof * degrees of freedom .