Is there any way to name the columns of an array so that they can be called with a string, but still used like an ordinary array? What I have in mind is very similar to a record array, but with homogenous types. Having different types implies that certain operations (e.g., mean, sum) don't make sense, in general.
For example, I want to do something like: #~~~~~~~ >>> import numpy as np >>> color = np.array([(1, 2, 3), (4, 5, 6)], ... dtype=[('r', '<f4'), ('g', '<f4'), ('b', '<f4')]) # get the average (grayscale) of the first row >>> color[0].mean() TypeError: cannot perform reduce with flexible type #~~~~~~~ BTW, I actually want add the fields (columns) for all records (rows), not just each row individually, but `color.mean(axis=1)` doesn't make sense because `color` is actually a 1D array of records. Thanks, -Tony _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion