'**SUMMARY**
Returns a numpy array of the distance each Feature is from a given coordinate.
Default is the center of the image.
**PARAMETERS**
* *point* - A point on the image from which we will calculate distance.
**RETURNS**
A numpy array of distance values.
**EXAMPLE**
>>> img = Image("lenna")
>>> feats = img.findBlobs()
>>> d = feats.distanceFrom()
>>> d[0]  #show the 0th blobs distance to the center.
**TO DO**
Make this accept other features to measure from.'

def distanceFrom(self, point=((-1), (-1))):

    if ((point[0] == (-1)) or ((point[1] == (-1)) and len(self))):
        point = self[0].image.size()
    return spsd.cdist(self.coordinates(), [point])[:, 0]
