numpy has an insert function that’s accesible via np.insert with documentation.
You’ll want to use it in this case like so:
X = np.insert(X, 0, 6., axis=0)
the first argument X specifies the object to be inserted into.
The second argument 0 specifies where.
The third argument 6. specifies what is to be inserted.
The fourth argument axis=0 specifies that the insertion should happen at position 0 for every column. We could’ve chosen rows but your X is a columns vector, so I figured we’d stay consistent.