class_docstr: Wrapper for python-ternary and matplotlib figure. Parameters for member
  functions simply pass through to ternary's functions with the same names.
  This class manages the matplotlib axes, the scale, and the boundary scale
  to ease the use of ternary plotting functions.
docstr: Taking self._axis_limits and self._boundary_scale get the scaled
  ticks for all three axes and store them in self._ticks under the
  keys 'b' for bottom, 'l' for left and 'r' for right axes.
docstr_tok: ["Taking","self._axis_limits","and","self._boundary_scale","get","the","scaled","ticks","for","all","three","axes","and","store","them","in","self._ticks","under","the","keys","'","b","'","for","bottom",",","'","l","'","for","left","and","'","r","'","for","right","axes","."]
code: def get_ticks_from_axis_limits(self, multiple=1):
      """
      Taking self._axis_limits and self._boundary_scale get the scaled
      ticks for all three axes and store them in self._ticks under the
      keys 'b' for bottom, 'l' for left and 'r' for right axes.
      """
      for k in ["b", "l", "r"]:
          self._ticks[k] = np.linspace(
              self._axis_limits[k][0],
              self._axis_limits[k][1],
              int(self._boundary_scale / float(multiple) + 1),
          ).tolist()
  
imports: from collections import namedtuple
  from functools import partial
  import numpy
  from matplotlib import pyplot
  from .None import heatmapping
  from .None import lines
  from .None import plotting
  from .helpers import project_point, convert_coordinates_sequence
label_desc: Use image node_id 29 for calling the TernaryAxesSubplot obj's underlying member method code with example usage: obj.get_ticks_from_axis_limits(multiple) without return types