[英]2D array into if statement without loop - Python
I have defined a function which includes an if statement. 我定义了一个包含if语句的函数。 I then want to pass in the X array in the function, which is a 2D array.
然后,我想在函数中传递X数组,它是2D数组。 I tried using np.all, but although it gives no error, it sets ALL the X values to "if abs(x) < L:".
我尝试使用np.all,但尽管它没有错误,但将所有X值都设置为“如果abs(x)<L:”。 How would I be able to pass a 2D array (X) into the function properly?
如何将2D数组(X)正确传递给函数?
x = np.arange(-10.,15.+1.,1.)
y = np.arange(-4.,4.+0.1,0.1)
eps = 0.1
L = 2.
k = np.pi/(2.*L)
def q2(x):
if abs(x) < L:
return (((-3.*eps*np.cos(k*x))+(k*(np.sin(k*x)-np.exp(3.*eps*(x-L)))))/((9.*eps**2.) + k**2.))
if x > L:
return 0.
if x < -L:
return (-k*(1.+np.exp2(-6.*eps*L))*np.exp(3.*eps*(x+L)))/((9.*eps**2.) + k**2.)
def u2(x,y):
return 0.5*q2(x)*(y**2. - 3.)*np.exp(-0.25*y**2.)
X,Y = np.meshgrid(x,y)
vel_x=u2(X,Y)
You can use numpy.where(CONDITION)
to get an array of indices, which can be used to access only those parts of x
you are currently interested in: 您可以使用
numpy.where(CONDITION)
获取一个索引数组,该索引数组只能用于访问您当前感兴趣的x
那些部分:
def q2(x):
q = np.zeros(x.shape)
# for abs(x) < L
ind = np.where(np.abs(x) < L)
q[ind] = (((-3.*eps*np.cos(k*x[ind]))+(k*(np.sin(k*x[ind])-np.exp(3.*eps*(x[ind]-L)))))/((9.*eps**2.) + k**2.))
# for x < -L
ind = np.where(x < -L)
q[ind] = (-k*(1.+np.exp2(-6.*eps*L))*np.exp(3.*eps*(x[ind]+L)))/((9.*eps**2.) + k**2.)
return q
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