/usr/lib/python2.7/dist-packages/chaco/linear_mapper.py is in python-chaco 4.4.1-1.2.
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Defines the LinearMapper class, which maps from a 1-D region in data space
into a 1-D output space.
"""
# Major library imports
from numpy import array, empty, ndarray
# Enthought library imports
from traits.api import Bool, Float
# Local relative imports
from base_1d_mapper import Base1DMapper
class LinearMapper(Base1DMapper):
""" Maps a 1-D data space to and from screen space by specifying a range in
data space and a corresponding fixed line in screen space.
This class concerns itself only with metric and not with orientation. So, to
"flip" the screen space orientation, simply swap the values for **low_pos**
and **high_pos**.
"""
#------------------------------------------------------------------------
# Private traits
#------------------------------------------------------------------------
# Number of screen space units per data space unit.
_scale = Float(1.0)
# Is the range of the screen space empty?
_null_screen_range = Bool(False)
# Is the range of the data space empty?
_null_data_range = Bool(False)
#------------------------------------------------------------------------
# Public methods
#------------------------------------------------------------------------
def map_screen(self, data_array):
""" map_screen(data_array) -> screen_array
Overrides AbstractMapper. Maps values from data space into screen space.
"""
self._compute_scale()
if self._null_data_range:
if isinstance(data_array, (tuple, list, ndarray)):
x = empty(data_array.shape)
x.fill(self.low_pos)
return x
else:
return array([self.low_pos])
else:
return (data_array - self.range.low) * self._scale + self.low_pos
def map_data(self, screen_val):
""" map_data(screen_val) -> data_val
Overrides AbstractMapper. Maps values from screen space into data space.
"""
self._compute_scale()
if self._null_screen_range:
return array([self.range.low])
elif self._null_data_range:
return array([self.range.low])
else:
return (screen_val - self.low_pos) / self._scale + self.range.low
def map_data_array(self, screen_vals):
""" map_data_array(screen_vals) -> data_vals
Overrides AbstractMapper. Maps an array of values from screen space
into data space.
"""
return self.map_data(screen_vals)
#------------------------------------------------------------------------
# Private methods
#------------------------------------------------------------------------
def _compute_scale(self):
if self._cache_valid:
return
if self.range is None:
self._cache_valid = False
return
r = self.range
screen_range = self.high_pos - self.low_pos
data_range = r.high - r.low
if screen_range == 0.0:
self._null_screen_range = True
else:
self._null_screen_range = False
if data_range == 0.0:
self._null_data_range = True
else:
self._scale = screen_range / data_range
# The screen_range might be small enough that dividing by the
# data_range causes it to go to 0. Explicitly call bool because
# _scale might also be a numpy scalar and yield another numpy scalar
# that the Bool trait rejects.
self._null_data_range = bool(self._scale == 0.0)
self._cache_valid = True
return
# EOF
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