如何在单行中将Matlab函数max（y（x> 3）> 2）转换为numpy

Question

i want to convert matlab functions like all, any, max min to numpy.

since these functions takes compound expressions as inputs, wanted to know how to achive the same in numpy.

for ex. max(y(x>3)>2)

x = [1,2,3,4,5,6]
y = [2,4,6,8,9,2]

in matlab i would have got the answer as 9

how can i write the above max function in numpy so that it accepts the diffrent expressions.

like

max(x>3) - ans 6
max((x>3)>5) - ans 6
max((x>3) & (x<6)) - ans 5

thanks a lot for your inputs in advance.

Answer 1

In general ( http://wiki.scipy.org/NumPy_for_Matlab_Users ) is a very good guide for making the conversion from MATLAB -> numpy

x = np.array(x)
np.max(x[x>3])
np.max(x[(x>3)*(x>5)])
np.max(x[(x>3)*(x<6)])

Answer 2

不是那么短，而是一线：

max([y[i] for i in range(len(y)) if x[i] > 3 and y[i]>2])