numpy np.where多重条件 [英] Numpy np.where multiple condition

问题描述

我需要使用numpy处理多个条件.

I need to work with multiple condition using numpy.

我正在尝试似乎有效的这段代码.

I'm trying this code that seem to work.

我的问题是:还有另一种方法可以完成相同的工作吗?

My question is: There is another alternative that can do the same job?

Mur=np.array([200,246,372])*pq.kN*pq.m
Mumax=np.array([1400,600,700])*pq.kN*pq.m
Mu=np.array([100,500,2000])*pq.kN*pq.m
Acreq=np.where(Mu<Mur,0,"zero")
Acreq=np.where(((Mur<Mu)&(Mu<Mumax)),45,Acreq)
Acreq=np.where(Mu>Mumax,60,Acreq)
Print(Acreq)
['0' '45' '60']

推荐答案

从此开始:

Mur    = np.array([200,246,372])*3*5
Mumax  = np.array([1400,600,700])*3*5
Mu     = np.array([100,500,2000])*3*5
Acreq  = np.where(Mu<Mur,0,"zero")
Acreq  = np.where((Mur<Mu)&(Mu<Mumax),45,Acreq)
Acreq  = np.where(Mu>Mumax,60,Acreq)

print(Acreq)

['0' '45' '60']

尝试一下:

conditions  = [Mu<Mur, (Mur<Mu)&(Mu<Mumax), Mu>Mumax ]
choices     = [ 0, 45, 60 ]
Acreq       = np.select(conditions, choices, default='zero')
print(Acreq)


['0' '45' '60']

这也有效:

np.where((Mur<Mu)&(Mu<Mumax),45,np.where(Mu>Mumax,60,np.where(Mu<Mur,0,"zero")))

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