How to convert ndarray to array?

Question

I'm using pandas.Series and np.ndarray.

The code is like this

>>> t array([[ 0.,  0.,  0.],        [ 0.,  0.,  0.],        [ 0.,  0.,  0.]]) >>> pandas.Series(t) Exception: Data must be 1-dimensional >>> 

And I trie to convert it into 1-dimensional array:

>>> tt = t.reshape((1,-1)) >>> tt array([[ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.]]) 

tt is still multi-dimensional since there are double '['.

So how do I get a really convert ndarray into array?

After searching, it says they are the same. However in my situation, they are not working the same.

Answer 1

An alternative is to use np.ravel:

>>> np.zeros((3,3)).ravel() array([ 0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.,  0.]) 

The importance of ravel over flatten is ravel only copies data if necessary and usually returns a view, while flatten will always return a copy of the data.

To use reshape to flatten the array:

tt = t.reshape(-1)