我有
from pylab import *
###FUNCTIONS##
def LOSS(y0,y1):
return sum(abs(y0-y1))
def genuchten(t,C,k):
return 1/(1+(C/t)**k)**(1-1/k)
###MAIN#######
if __name__ == '__main__':
t0 = linspace(0,10,100)
f0 = genuchten(t0,3,3)
x = linspace(1,10,10)
y = linspace(1,10,10)
X,Y = meshgrid(x,y)
Z = zeros(shape(X))
for i in range(len(x)):
for j in range(len(y)):
f = genuchten(t0,X[i][j],Y[i][j])
Z[i][j] = LOSS(f0,f)
contourf(X,Y,Z)
show()
这有效,但我觉得必须有更直接的方法。看来MATLAB有一个自动执行此操作的ARRAYFUN功能吗?
答案 0 :(得分:1)
你可以使用ndarray广播来快速计算:
from pylab import *
def genuchten(t,C,k):
return 1/(1+(C/t)**k)**(1-1/k)
###MAIN#######
t0, Y, X = ogrid[0:10:100j, 1:10:10j, 1:10:10j]
f0 = genuchten(t0, 3, 3)
f = genuchten(t0, X, Y)
Z = sum(abs(f0-f), axis=0)
contourf(X.ravel(), Y.ravel(), Z)
show()