matplotlib - Interpolate in one direction

Question

I have sampled data and plot it with imshow():

I would like to interpolate just in horizontal axis so that I can easier distinguish samples and spot features. Is it possible to make interpolation just in one direction with MPL?

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Update:
SciPy has whole package with various interpolation methods. I used simplest interp1d, as suggested by tcaswell:

def smooth_inter_fun(r):
    s = interpolate.interp1d(arange(len(r)), r)
    xnew = arange(0, len(r)-1, .1)
    return s(xnew)

new_data = np.vstack([smooth_inter_fun(r) for r in data])

Linear and cubic results:

As expected :)

Answer 1

This tutorial covers a range of interpolation available in numpy/scipy. If you want to just one direction, I would work on each row independently and then re-assemble the results. You might also be interested is simply smoothing your data (exmple, Python Smooth Time Series Data, Using strides for an efficient moving average filter).

def smooth_inter_fun(r):
    #what ever process you want to use
new_data = np.vstack([smooth_inter_fun(r) for r in data])