old_contents: # -*- coding: utf-8 -*-
  """
  This module provides colormaps to use for the visualisation of meteorological
  data.
  
  This module heavily bases on the cmocean_ package developed by Kristen Thyng.
  Most colormaps are directly inherited and renamed for meteorological
  applications.
  
  .. _cmocean: http://matplotlib.org/cmocean/
  """
  from matplotlib.colors import (LinearSegmentedColormap, ListedColormap)
  from matplotlib.cm import register_cmap
  
  from ._cmocean import datad as _cmocean_datad
  from ._cm import datad as _cm_datad
  
  
  datad = _cmocean_datad
  datad.update(_cm_datad)
  
  
  def _rev_cdict(cdict):
      """Revert a dictionary containing specs for a LinearSegmentedColormap."""
      rev_cdict = {}
      for k, v in cdict.items():
          rev_cdict[k] = [(1.0 - x, y1, y0) for x, y0, y1 in reversed(v)]
      return rev_cdict
  
  cmaps = {}
  for (name, data) in datad.items():
      if isinstance(data, dict):
          cmaps[name] = LinearSegmentedColormap(name, data)
          cmaps[name + '_r'] = LinearSegmentedColormap(
              name + '_r', _rev_cdict(data))
      elif isinstance(data, list):
          cmaps[name] = ListedColormap(data, name)
          cmaps[name + '_r'] = ListedColormap(data[::-1], name + '_r')
  
  locals().update(cmaps)
  
  for name, cm in cmaps.items():
      register_cmap(name, cm)
  
  __all__ = list(cmaps.keys())
  
new_contents: # -*- coding: utf-8 -*-
  """
  This module provides colormaps to use for the visualisation of meteorological
  data.  It heavily bases on the cmocean_ package developed by Kristen Thyng.
  Most colormaps are directly inherited and renamed for meteorological
  applications.
  
  The colormaps are registered in matplotlib after importing typhon:
  
      >>> import typhon
      >>> plt.get_cmap('difference')
  
  .. _cmocean: http://matplotlib.org/cmocean/
  """
  from matplotlib.colors import (LinearSegmentedColormap, ListedColormap)
  from matplotlib.cm import register_cmap
  
  from ._cmocean import datad as _cmocean_datad
  from ._cm import datad as _cm_datad
  
  
  datad = _cmocean_datad
  datad.update(_cm_datad)
  
  
  def _rev_cdict(cdict):
      """Revert a dictionary containing specs for a LinearSegmentedColormap."""
      rev_cdict = {}
      for k, v in cdict.items():
          rev_cdict[k] = [(1.0 - x, y1, y0) for x, y0, y1 in reversed(v)]
      return rev_cdict
  
  cmaps = {}
  for (name, data) in datad.items():
      if isinstance(data, dict):
          cmaps[name] = LinearSegmentedColormap(name, data)
          cmaps[name + '_r'] = LinearSegmentedColormap(
              name + '_r', _rev_cdict(data))
      elif isinstance(data, list):
          cmaps[name] = ListedColormap(data, name)
          cmaps[name + '_r'] = ListedColormap(data[::-1], name + '_r')
  
  locals().update(cmaps)
  
  for name, cm in cmaps.items():
      register_cmap(name, cm)
  
  __all__ = list(cmaps.keys())
  
subject: Add note about colormap usage