Say I have
data=np.array([[30,0.109,1],
[25,0.517,2],
[22,0.174,1],
[35,0.812,3],
[45,0.215,4],
[40,0.111,4],
[50,0.095,4]])
Doing
A = data1[:,2]
print(A)
Will give me
[1. 2. 1. 3. 4. 4. 4.]
Is there a command so I can get the values from other columns (1 or 2) if column 3 has a value of 4 In my mind it would look like this B=data[:,1,[2]=4] So B should print out [0.812, 0.215, 0.111]
Is this possible? The reason I need it is for graphical display. The number in column 3 corresponds to a type of bacteria (I.e. all 4's are the same bacteria), from which I need to plot the other values "bound" to that type of bacteria.
Hope its possible, and all the best
You need to use boolean indexing:
out = data[data[:, 2]==4, 1]
Output:
array([0.215, 0.111, 0.095])