/usr/lib/python2.7/dist-packages/chaco/data_view.py is in python-chaco 4.4.1-1.2.
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functions.
"""
from numpy import array, transpose
from traits.api import Bool, Enum, Instance, Property
from enable.colors import color_table
from abstract_overlay import AbstractOverlay
from axis import PlotAxis
from base_1d_mapper import Base1DMapper
from base_2d_plot import Base2DPlot
from data_range_2d import DataRange2D
from grid import PlotGrid
from linear_mapper import LinearMapper
from log_mapper import LogMapper
from plot_containers import OverlayPlotContainer
#-----------------------------------------------------------------------------
# Define new traits to condense the definition of some convenience
# properties in the Plot class
#-----------------------------------------------------------------------------
def get_mapper(self, attr_name):
""" Getter function used by OrientedMapperProperty.
"""
if (attr_name,self.orientation) in [("x_mapper","h"), ("y_mapper","v")]:
return self.index_mapper
else:
return self.value_mapper
def set_mapper(self, attr_name, new):
""" Setter function used by OrientedMapperProperty.
"""
if (attr_name,self.orientation) in [("x_mapper","h"), ("y_mapper","v")]:
self.index_mapper = new
else:
self.value_mapper = new
# Property that represents a mapper for an orientation.
OrientedMapperProperty = Property(get_mapper, set_mapper)
def get_axis(self, attr_name):
""" Getter function used by AxisProperty.
"""
if (attr_name,self.orientation) in [("index_axis","h"), ("value_axis","v")]:
return self.x_axis
else:
return self.y_axis
def set_axis(self, attr_name, new):
""" Setter function used by AxisProperty.
"""
if (attr_name,self.orientation) in [("index_axis","h"), ("value_axis","v")]:
self.x_axis = new
else:
self.y_axis = new
# Property that represents an axis.
AxisProperty = Property(get_axis, set_axis)
def get_grid(self, attr_name):
""" Getter function used by GridProperty.
"""
if (attr_name,self.orientation) in [("index_grid","v"), ("value_grid","h")]:
return self.y_grid
else:
return self.x_grid
def set_grid(self, attr_name, new):
""" Setter function used by GridProperty.
"""
if (attr_name,self.orientation) in [("index_grid","v"), ("value_grid","h")]:
self.y_grid = new
else:
self.y_grid = new
# Property that represents a grid for a particular orientation.
GridProperty = Property(get_grid, set_grid)
class DataView(OverlayPlotContainer):
""" Represents a mapping from 2-D data space into 2-D screen space.
It can house renderers and other plot components, and otherwise behaves
just like a normal PlotContainer.
"""
# The orientation of the index axis.
orientation = Enum("h", "v")
# The default location of the origin for new plots
default_origin = Enum("bottom left", "top left",
"bottom right", "top right")
# The origin reported to axes, etc
origin = Property(depends_on='default_origin')
# Whether our map_screen and map_data should treat screen-space
# coords as being in our coordinate space or in our contained
# coordinate space.
# The mapper to use for the index data.
index_mapper = Instance(Base1DMapper)
# The mapper to use for value data.
value_mapper = Instance(Base1DMapper)
# For x-y plots, the scale of the index axis.
index_scale = Enum("linear", "log")
# For x-y plots, the scale of the index axis.
value_scale = Enum("linear", "log")
# The range used for the index data.
index_range = Property
# The range used for the value data.
value_range = Property
# The 2-D data range whose x- and y-ranges are exposed as the
# **index_range** and **value_range** property traits. This allows
# supporting both XY plots and 2-D (image) plots.
range2d = Instance(DataRange2D)
# Convenience property that offers access to whatever mapper corresponds
# to the X-axis.
x_mapper = OrientedMapperProperty
# Convenience property that offers access to whatever mapper corresponds
# to the Y-axis
y_mapper = OrientedMapperProperty
#------------------------------------------------------------------------
# Axis and Grids
#------------------------------------------------------------------------
# The horizontal axis. Its position relative to the plot
# area can be "top", "bottom", or "float". The default position for a new
# x-axis is "bottom".
#
# TODO: For now, this is an instance of AbstractOverlay instead of PlotAxis
# because scales_axis.PlotAxis doesn't inherit from PlotAxis, but instead is a
# semi-reimplementation. Thus, rather than making scales_axis.PlotAxis
# inherit a concrete class, I chose to loosen this trait by specifying
# a more general base class of PlotAxis. This incurs lower risk of subtle
# and difficult-to-catch bugs being introduced by changes to the
# axis.PlotAxis class. This same comment applies to the y_axis trait
# below. --pwang
#x_axis = Instance(PlotAxis)
x_axis = Instance(AbstractOverlay)
# The vertical axis. Its position relative to the plot
# area can be "left", "right", or "float". The default position for a new
# y-axis is "left".
#y_axis = Instance(PlotAxis)
y_axis = Instance(AbstractOverlay)
# The grid that intersects the x-axis, i.e., a set of vertical lines.
x_grid = Instance(PlotGrid)
# The grid that intersects the y-axis, i.e., a set of horizontal lines.
y_grid = Instance(PlotGrid)
# Whether to automatically create the x_axis and y_axis if they were not
# already set by the caller.
auto_axis = Bool(True)
# Whether to automatically create the x_grid and y_grid if they were not
# already set by the caller.
auto_grid = Bool(True)
# Convenience property for accessing the index axis, which can be X or Y,
# depending on **orientation**.
index_axis = AxisProperty
# Convenience property for accessing the value axis, which can be Y or X,
# depending on **orientation**.
value_axis = AxisProperty
# Convenience property for accessing the index grid, which can be horizontal
# or vertical, depending on **orientation**.
index_grid = GridProperty
# Convenience property for accessing the value grid, which can be vertical
# or horizontal, depending on **orientation**.
value_grid = GridProperty
#------------------------------------------------------------------------
# Appearance
#------------------------------------------------------------------------
# Background color (overrides Enable Component)
bgcolor = "white"
# Padding defaults.
padding_top = 50
padding_bottom = 50
padding_left = 50
padding_right = 50
border_visible = True
#------------------------------------------------------------------------
# Public methods
#------------------------------------------------------------------------
def __init__(self, **kwtraits):
super(DataView, self).__init__(**kwtraits)
self._init_components()
# If we are not resizable, we will not get a bounds update upon layout,
# so we have to manually update our mappers
if self.resizable == "":
self._update_mappers()
return
def map_screen(self, data_array):
""" Maps an array of data points to screen space and returns an array
of screen space points.
"""
# data_array is Nx2 array
if len(data_array) == 0:
return []
x_ary, y_ary = transpose(data_array)
sx = self.index_mapper.map_screen(x_ary)
sy = self.value_mapper.map_screen(y_ary)
if self.orientation == "h":
return transpose(array((sx,sy)))
else:
return transpose(array((sy,sx)))
def map_data(self, screen_pt):
""" Maps a screen space point into the 2D data space of this plot.
(Note that this differs from the BaseXYPlot implementation, which by
default only maps into the 1D index space.)
"""
# At some point it would be good to change the DataView to use
# the GridMapper, and then use its map_data() method.
x, y = screen_pt
return array((self.index_mapper.map_data(x),
self.value_mapper.map_data(y)))
#------------------------------------------------------------------------
# Private methods
#------------------------------------------------------------------------
def _init_components(self):
# Since this is called after the HasTraits constructor, we have to make
# sure that we don't blow away any components that the caller may have
# already set.
if not self.range2d:
self.range2d = DataRange2D()
if not self.index_mapper:
if self.index_scale == "linear":
imap = LinearMapper(range=self.range2d.x_range)
else:
imap = LogMapper(range=self.range2d.x_range)
self.index_mapper = imap
if not self.value_mapper:
if self.value_scale == "linear":
vmap = LinearMapper(range=self.range2d.y_range)
else:
vmap = LogMapper(range=self.range2d.y_range)
self.value_mapper = vmap
# make sure the grid and bgcolor are not the same color
grid_color = 'lightgray'
if color_table[self.bgcolor] == color_table[grid_color]:
grid_color = 'white'
if not self.x_grid and self.auto_grid:
self.x_grid = PlotGrid(mapper=self.x_mapper, orientation="vertical",
line_color=grid_color, line_style="dot",
component=self)
if not self.y_grid and self.auto_grid:
self.y_grid = PlotGrid(mapper=self.y_mapper, orientation="horizontal",
line_color=grid_color, line_style="dot",
component=self)
if not self.x_axis and self.auto_axis:
self.x_axis = PlotAxis(mapper=self.x_mapper, orientation="bottom",
component=self)
if not self.y_axis and self.auto_axis:
self.y_axis = PlotAxis(mapper=self.y_mapper, orientation="left",
component=self)
#-------------------------------------------------------------------------
# Event handlers
#-------------------------------------------------------------------------
def _update_mappers(self):
x = self.x
x2 = self.x2
y = self.y
y2 = self.y2
if self.x_mapper is not None:
if "left" in self.origin:
self.x_mapper.low_pos = x
self.x_mapper.high_pos = x2
else:
self.x_mapper.low_pos = x2
self.x_mapper.high_pos = x
if self.y_mapper is not None:
if "bottom" in self.origin:
self.y_mapper.low_pos = y
self.y_mapper.high_pos = y2
else:
self.y_mapper.low_pos = y2
self.y_mapper.high_pos = y
self.invalidate_draw()
return
def _bounds_changed(self, old, new):
super(DataView, self)._bounds_changed(old, new)
self._update_mappers()
def _bounds_items_changed(self, event):
super(DataView, self)._bounds_items_changed(event)
self._update_mappers()
def _position_changed(self, old, new):
super(DataView, self)._position_changed(old, new)
self._update_mappers()
def _position_items_changed(self, event):
super(DataView, self)._position_items_changed(event)
self._update_mappers()
def _origin_changed(self):
self._update_mappers()
def _orientation_changed(self):
# Change our grid and axis mappers so that they correspond to the
# new mapper configuration. Using the self.x_mapper and self.y_mapper
# properties will grab the correct mappers corresponding to our new
# orientation.
if self.x_grid is not None:
self.x_grid.mapper = self.x_mapper
if self.y_grid is not None:
self.y_grid.mapper = self.y_mapper
if self.x_axis is not None:
self.x_axis.mapper = self.x_mapper
if self.y_axis is not None:
self.y_axis.mapper = self.y_mapper
self._update_mappers()
for renderer in self.components:
if hasattr(renderer, "orientation"):
renderer.orientation = self.orientation
return
def _index_mapper_changed(self, old, new):
if new is not None:
if new.range is not None:
# Add the range's datasources to our range
for source in new.range.sources:
self.index_range.add(source)
new.range = self.index_range
if self.index_axis:
self.index_axis.mapper = new
if self.index_grid:
self.index_grid.mapper = new
def _value_mapper_changed(self, old, new):
if new is not None:
if new.range is not None:
# Add the range's datasources to our range
for source in new.range.sources:
self.value_range.add(source)
new.range = self.value_range
if self.value_axis:
self.value_axis.mapper = new
if self.value_grid:
self.value_grid.mapper = new
def _bgcolor_changed(self):
self.invalidate_draw()
def _x_grid_changed(self, old, new):
self._underlay_change_helper(old, new)
def _y_grid_changed(self, old, new):
self._underlay_change_helper(old, new)
def _x_axis_changed(self, old, new):
self._underlay_change_helper(old, new)
def _y_axis_changed(self, old, new):
self._underlay_change_helper(old, new)
def _underlay_change_helper(self, old, new):
if old in self.underlays:
self.underlays.remove(old)
if new is not None:
self.underlays.append(new)
def _overlay_change_helper(self, old, new):
if old in self.overlays:
self.overlays.remove(old)
if new is not None:
self.overlays.append(new)
def _range2d_changed(self, old, new):
if new is not None:
if self.index_mapper is not None:
self.index_mapper.range = new.x_range
if self.value_mapper is not None:
self.value_mapper.range = new.y_range
else:
self.index_mapper.range = None
self.value_mapper.range = None
if old is not None:
for datasource in old.sources[:]:
old.remove(datasource)
if new is not None:
new.add(datasource)
for renderer in self.components:
if hasattr(renderer, 'range2d'):
renderer.range2d = new
elif isinstance(renderer, Base2DPlot):
renderer.index_range = new
else:
if hasattr(renderer, 'index_range'):
setattr(renderer, 'index_range', self.index_range)
if hasattr(renderer, 'value_range'):
setattr(renderer, 'value_range', self.value_range)
return
def _range2d_default(self):
""" Default trait initializer for the range2d trait """
return DataRange2D()
#------------------------------------------------------------------------
# Property getters and setters
#------------------------------------------------------------------------
def _get_index_range(self):
return self.range2d.x_range
def _set_index_range(self, newrange):
self._handle_range_changed("index", self.range2d.x_range, newrange)
self.range2d.x_range = newrange
def _get_value_range(self):
return self.range2d.y_range
def _set_value_range(self, newrange):
self._handle_range_changed("value", self.range2d.y_range, newrange)
self.range2d.y_range = newrange
def _handle_range_changed(self, name, old, new):
mapper = getattr(self, name+"_mapper")
if mapper.range == old:
mapper.range = new
if old is not None:
for datasource in old.sources[:]:
old.remove(datasource)
if new is not None:
new.add(datasource)
range_name = name + "_range"
for renderer in self.components:
if hasattr(renderer, range_name):
setattr(renderer, range_name, new)
def _get_origin(self):
# FIXME:
return self.default_origin
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