Changes for 0.82

.. code-block:: text

• toolbar import change in GTKAgg, GTKCairo and WXAgg

• Added subplot config tool to GTK* backends -- note you must now import the NavigationToolbar2 from your backend of choice rather than from backend_gtk because it needs to know about the backend specific canvas -- see examples/embedding_in_gtk2.py. Ditto for wx backend -- see examples/embedding_in_wxagg.py

• hist bin change

  Sean Richards notes there was a problem in the way we created the binning for histogram, which made the last bin underrepresented. From his post:

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  I see that hist uses the linspace function to create the bins
  and then uses searchsorted to put the values in their correct
  bin. That's all good but I am confused over the use of linspace
  for the bin creation. I wouldn't have thought that it does
  what is needed, to quote the docstring it creates a "Linear
  spaced array from min to max". For it to work correctly
  shouldn't the values in the bins array be the same bound for
  each bin? (i.e. each value should be the lower bound of a
  bin). To provide the correct bins for hist would it not be
  something like
  
  def bins(xmin, xmax, N):
    if N==1: return xmax
    dx = (xmax-xmin)/N # instead of N-1
    return xmin + dx*arange(N)
  

  This suggestion is implemented in 0.81. My test script with these changes does not reveal any bias in the binning

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  from matplotlib.numerix.mlab import randn, rand, zeros, Float
  from matplotlib.mlab import hist, mean
  
  Nbins = 50
  Ntests = 200
  results = zeros((Ntests,Nbins), typecode=Float)
  for i in range(Ntests):
      print 'computing', i
      x = rand(10000)
      n, bins = hist(x, Nbins)
      results[i] = n
  print mean(results)