Inconsistent Results - Jupyter Numpy & Transpose

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I am getting odd behavior with Jupyter/Numpy/Tranpose()/1D Arrays.

I found another post where transpose() will not transpose a 1D array, but in previous Jupyter notebooks, it does.

I have an example where it is inconsistent, and I do not understand:

Please see the picture attached of my jupyter notebook if 2 more or less identical arrays with 2 different outputs.

It seems it IS and IS NOT transposing the 1D array. Inconsistency is bad

outputs is (1000,) and (1,1000), why does this occur?

# GENERATE WAVEORM:
#---------------------------------------------------------------------------------------------------
N   = 1000
fxc = []
fxn = []
for t in range(0,N):
    fxc.append(A1*m.sin(2.0*pi*50.0*dt*t) + A2*m.sin(2.0*pi*120.0*dt*t))
    fxn.append(A1*m.sin(2.0*pi*50.0*dt*t) + A2*m.sin(2.0*pi*120.0*dt*t) + 5*np.random.normal(u,std,size=1))
#---------------------------------------------------------------------------------------------------


# TAKE TRANSPOSE:
#---------------------------------
fc = np.transpose(np.array(fxc))
fn = np.transpose(np.array(fxn))
#---------------------------------


# PRINT DIMENSION:
#---------------------------------
print(fc.shape)
print(fn.shape)
#---------------------------------   

Copyright Notice：Content Author:「Master-P」，Reproduced under the CC 4.0 BY-SA copyright license with a link to the original source and this disclaimer.
Link to original article：https://stackoverflow.com/questions/55288904/inconsistent-results-jupyter-numpy-transpose