Is there a more Pythonic/elegant way to expand the dimensions of a Numpy Array?

arrays, multidimensional-array, numpy, python

Solution

One alternative approach could be with `reshaping` -

x.reshape((-1,) + (1,)*N)  # N is no. of dims to be appended

So, basically for the `None's` that correspond to singleton dimensions, we are using a shape of length `1` along those dims. For the first axis, we are using a shape of `-1` to push all elements into it.

Sample run -

In [119]: x = np.array([2,5,6,4])

In [120]: x.reshape((-1,) + (1,)*9).shape
Out[120]: (4, 1, 1, 1, 1, 1, 1, 1, 1, 1)

Problem

What I am trying to do right now is: ``` x = x[:, None, None, None, None, None, None, None, None, None] ``` Basically, I want to expand my Numpy array by 9 dimensions. Or some N number of dimensions where N might not be known in advance! Is there a better way to do this?

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