How can I extract multiple elements from a column matrix (Python)?

Question

Say if I have a column matrix

n =  
[[0.649100404993098]
 [0.548818798116734]
 [-0.526750976336541]]

I want to assign the values of n to x,y and z. For example x= 0.649100404993098, y=0.548818798116734, z=-0.526750976336541. If I do x,y,z =n, then they are assigned as a list with desired values. How can I directly assign the values to x,y and z? Thanks:)

PS: The code I'm running is

b= 9.166801286935154 ,c= 7.750592706723353 ,d= -7.438943945547988
sig = np.matrix([[b],[c],[d]])
n = np.dot(1/sqrt(b**2+c**2+d**2),sig)
nx, ny, nz = [i for i in n]

Chris · Accepted Answer · 2021-03-02 20:51:50Z

1

You can try this if you're sure that the length of each element is 1:

nx, ny, nz = [i.item() for i in n]

edited Mar 2, 2021 at 20:51

answered Mar 2, 2021 at 20:33

Chris

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rwalroth · Accepted Answer · 2021-03-02 20:35:15Z

1

You can get it with:

x, y, z = [i[0] for i in n]

If you have more than one column you could make it i[j] where j is the column index.

answered Mar 2, 2021 at 20:35

rwalroth

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