Re: [Numpy-discussion] Slicing and structured arrays question

Hanno Klemm wrote:

Hi, I have the following question, that I could not find an answer to in the example list, or by googling:

I have a record array with dtype such as: dtype([('times', '<f8'), ('sensors', '|S8'), ('prop1', '<f8'), ('prop2', '<f8'), ('prop3', '<f8'), ('prop4', '<f8')])

I would now like to calculate the mean and median for each of the properties 'props'. Is there a way to do this similarly to a conventional array with

a[:,2:].mean(axis=0)

or do I have to use a loop over the names of the properties?

You must first view the array as a float array in order to calculate the mean: This should work: b = a.view(float) b.shape = (-1,6) b[:,2:].mean(axis=0) -Travis