Operations with numpy array elements

Question

Have a numpy array which was created from pandas values.

It looks like this:

array([[ 230.1,   37.8,   69.2],
      [  44.5,   39.3,   45.1],
      [  17.2,   45.9,   69.3],
      [ 151.5,   41.3,   58.5],
      [ 180.8,   10.8,   58.4]])

How can I subtract the np.mean() of it from every single entry of this array?

Thanks in advance!

I believe you will find what you are looking for in the keyword argument axis — M.T
– M.T, Commented Aug 20, 2016 at 18:25
look up "broadcasting" ( docs.scipy.org/doc/numpy/user/basics.broadcasting.html ) it gets complex pretty quick, so just stick to the basic examples for now. — user1269942
– user1269942, Commented Aug 20, 2016 at 19:06

Daniel · Accepted Answer · 2016-08-20 18:34:49Z

1

With -:

a = array([[ 230.1,   37.8,   69.2],
  [  44.5,   39.3,   45.1],
  [  17.2,   45.9,   69.3],
  [ 151.5,   41.3,   58.5],
  [ 180.8,   10.8,   58.4]])
a -= a.mean()

answered Aug 20, 2016 at 18:34

Daniel

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1 Comment

user1269942 Over a year ago

as a side note, this subtracts the OVERALL mean from ALL values. If you wish to subtract the mean of each column from each column, see: stackoverflow.com/questions/8423051/…

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