kalman.py: column vector or row vector? about quantecon.py HOT 3 CLOSED

Could you define current_x_hat as a 1d vector instead ? Then it would be broadcasted to a 2x1 array or 1x2 array depending on the orientation of x. Would that work ?

To me, one good feature of numpy is that it has 1d vectors, while in matlab everything is a matrix by default. For the dot operator, it works likewise: provided that the dimensions match you can write dot(A,x) or dot(x,A) without caring whether x is a vector or a linear form.

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@albop As you suggest, I dropped conversion to 2d array in the Kalman class, then the solution script worked as expected without flatten(). (But I only tried one particular case with R = np.zeros((2, 2)) and x_hat = np.array([0, 0]).)
http://nbviewer.ipython.org/gist/oyamad/1f9b66fda3679f85f794/kalman_ex3_2.ipynb

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Thanks for letting me know about this error. In the end I just corrected the exercise by flattening the vector ex post. I didn't flatten everything inside Kalman because I want the inner workings to be transparent --- this module is more instructive rather than for heavy duty use.

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