我正在开发一个程序，该程序有两个相邻的绘图。第一个绘图具有ZoomTool、PanTool和RangeSelection工具。第二个绘图应根据左侧绘图中所做的更改（缩放等）进行修改。
缩放后是否有可能获得新的索引和值？在进行范围选择后，如何获得新的索引范围？该索引也可以是右侧绘图的新索引，直到不再选择所选零件为止。
我会把我的代码贴在下面，但你也可以在这里看到
这是我的代码：
#=================================================
# Code
#=================================================
# Enthought library imports
from traits.api import HasTraits, Int, Instance
from traits.api import *
from traitsui.api import Item, View, Group, HGroup, VGroup
from enable.api import Component
from enable.component_editor import ComponentEditor
from traitsui.menu import OKButton, CancelButton
# Chaco imports
from chaco.tools.api import RangeSelection, RangeSelectionOverlay
from chaco.chaco_plot_editor import ChacoPlotEditor, ChacoPlotItem
from chaco.api import Plot, ArrayPlotData, OverlayPlotContainer, create_line_plot, create_scatter_plot, add_default_axes, add_default_grids, PlotAxis, PlotLabel
from chaco.tools.api import PanTool, BroadcasterTool, ZoomTool
# Numpy imports
from numpy import linspace, pi, sin, tan
def main():
# normally this function gets its values out of other files
x1 = -2*pi
x2 = pi
y1 = 0
y2 = 2
uebergabe = {"xlim":[x1,x2], "ylim":[y1,y2], "ranges":[x1,x2]}
return uebergabe
class Trait(HasTraits):
plot = Instance(Component)
#creates the container
container = OverlayPlotContainer(padding = 50, fill_padding = True,
bgcolor = "lightgray", use_backbuffer=True)
container2 = OverlayPlotContainer(padding = 50, fill_padding = True,
bgcolor = "lightgray", use_backbuffer=True)
# Traits
xmin = Float
xmax = Float
ymin = Float
ymax = Float
rangeXMin = Float
rangeXMax = Float
# TraitsUI view
traits_view = View(Group(
HGroup(
VGroup(Item("container", editor = ComponentEditor(), show_label = False)),
VGroup(Item("container2", editor = ComponentEditor(), show_label = False))),
HGroup(Item("xmin"), Item("xmax"), Item("ymin"), Item("ymax"), show_border = True, label = "Plotborders"),
HGroup(Item("rangeXMin", label="x_min"), Item("rangeXMax", label="x_max"), show_border = True, label="Range of right plot")),
buttons = [OKButton, CancelButton], resizable = True, width = 1000, height = 800)
# Constructor
def __init__(self):
super(Trait, self).__init__()
uebergabe = main()
# initialize traits
self.xmin = uebergabe["xlim"][0]
self.xmax = uebergabe["xlim"][1]
self.ymin = uebergabe["ylim"][0]
self.ymax = uebergabe["ylim"][1]
self.rangeXMin = uebergabe["ranges"][0]
self.rangeXMin = uebergabe["ranges"][1]
self._create_Container()
def _create_Container(self):
#creating dict of plots and the broadcaster
plots = {}
broadcaster = BroadcasterTool()
#=====================first container===========================
#first plot
index = linspace(-2*pi,2*pi,1000)
plot = create_line_plot((index, sin(index)+0.5), color = "blue", index_bounds=(self.xmin, self.xmax), value_bounds = (self.ymin, self.ymax))
plot.bgcolor = "white"
plot.border_visible = True
value_mapper = plot.value_mapper
index_mapper = plot.index_mapper
add_default_grids(plot)
add_default_axes(plot)
# range selection
self.rangeselect = RangeSelection(plot, left_button_selects = False, auto_handle_event = False)
plot.active_tool = self.rangeselect
plot.overlays.append(RangeSelectionOverlay(component=plot))
#adds plot to the container
self.container.add(plot)
# second plot
index2 = linspace(-5*pi,4*pi,1000)
plot = create_line_plot((index2, tan(index2)), color = "black", index_bounds=(self.xmin, self.xmax), value_bounds = (self.ymin, self.ymax))
plot.value_mapper = value_mapper
value_mapper.range.add(plot.value)
plot.index_mapper = index_mapper
index_mapper.range.add(plot.index)
# Create a pan tool and give it a reference to the plot
pan = PanTool(plot, drag_button="left")
broadcaster.tools.append(pan)
# allows to zoom
zoom = ZoomTool(plot, tool_mode="box", always_on = False, visible = True)
plot.overlays.append(zoom)
#adds plot to the container
self.container.add(plot)
# appends broadcaster to the container
self.container.tools.append(broadcaster)
# title of the container
self.container.overlays.append(PlotLabel("left plot", component=self.container, overlay_position = "top"))
#==============end of first container===========================
#====================second container===========================
#first plot2
index3 = linspace(-10*pi,10*pi,500)
plot2 = create_scatter_plot((index3, sin(index3)), color = "blue", index_bounds=(self.rangeXMin, self.rangeXMax), value_bounds = (self.ymin, self.ymax))
plot2.bgcolor = "white"
plot2.border_visible = True
plot2.value_mapper = value_mapper # the plot uses the same index and
plot2.index_mapper = index_mapper # value like the plots of container1
#value_mapper.range.add(plot2.value)
#index_mapper.range.add(plot2.index)
add_default_grids(plot2)
add_default_axes(plot2)
#adds plot to the container
self.container2.add(plot2)
# title of the container
self.container2.overlays.append(PlotLabel("right plot", component=self.container, overlay_position = "top"))
#=============end of second container===========================
gui = Trait()
gui.configure_traits()
您可以使用sync_trait（）来同步两个特征之间的值：
self.sync_trait("xmin", index_mapper.range, "_low_value")
self.sync_trait("xmax", index_mapper.range, "_high_value")
self.sync_trait("ymin", value_mapper.range, "_low_value")
self.sync_trait("ymax", value_mapper.range, "_high_value")
self.sync_trait("rangeXMin", plot2.index_mapper.range, "low", False)
self.sync_trait("rangeXMax", plot2.index_mapper.range, "high", False)
捕捉范围选择变化：
self.rangeselect.on_trait_change(self.on_selection_changed, "selection")
def on_selection_changed(self, selection):
if selection != None:
self.rangeXMin, self.rangeXMax = selection
捕捉轴范围变化：
index_mapper.on_trait_change(self.on_mapper_updated, "updated")
def on_mapper_updated(self, mapper, name, value):
if not self.rangeselect.selection:
self.rangeXMin = mapper.range.low
self.rangeXMax = mapper.range.high
这是完整的代码：
# -*- coding: utf-8 -*-
#=================================================
# Code
#=================================================
# Enthought library imports
from traits.api import HasTraits, Int, Instance
from traits.api import *
from traitsui.api import Item, View, Group, HGroup, VGroup
from enable.api import Component
from enable.component_editor import ComponentEditor
from traitsui.menu import OKButton, CancelButton
# Chaco imports
from chaco.tools.api import RangeSelection, RangeSelectionOverlay
from chaco.chaco_plot_editor import ChacoPlotEditor, ChacoPlotItem
from chaco.api import Plot, ArrayPlotData, OverlayPlotContainer, create_line_plot, create_scatter_plot, add_default_axes, add_default_grids, PlotAxis, PlotLabel
from chaco.tools.api import PanTool, BroadcasterTool, ZoomTool
# Numpy imports
from numpy import linspace, pi, sin, tan
def main():
# normally this function gets its values out of other files
x1 = -2*pi
x2 = pi
y1 = 0
y2 = 2
uebergabe = {"xlim":[x1,x2], "ylim":[y1,y2], "ranges":[x1,x2]}
return uebergabe
class Trait(HasTraits):
plot = Instance(Component)
#creates the container
container = OverlayPlotContainer(padding = 50, fill_padding = True,
bgcolor = "lightgray", use_backbuffer=True)
container2 = OverlayPlotContainer(padding = 50, fill_padding = True,
bgcolor = "lightgray", use_backbuffer=True)
# Traits
xmin = Float
xmax = Float
ymin = Float
ymax = Float
rangeXMin = Float
rangeXMax = Float
# TraitsUI view
traits_view = View(Group(
HGroup(
VGroup(Item("container", editor = ComponentEditor(), show_label = False)),
VGroup(Item("container2", editor = ComponentEditor(), show_label = False))),
HGroup(Item("xmin"), Item("xmax"), Item("ymin"), Item("ymax"), show_border = True, label = "Plotborders"),
HGroup(Item("rangeXMin", label="x_min"), Item("rangeXMax", label="x_max"), show_border = True, label="Range of right plot")),
buttons = [OKButton, CancelButton], resizable = True, width = 1000, height = 500)
# Constructor
def __init__(self):
super(Trait, self).__init__()
uebergabe = main()
# initialize traits
self.xmin = uebergabe["xlim"][0]
self.xmax = uebergabe["xlim"][1]
self.ymin = uebergabe["ylim"][0]
self.ymax = uebergabe["ylim"][1]
self.rangeXMin = uebergabe["ranges"][0]
self.rangeXMin = uebergabe["ranges"][1]
self._create_Container()
def _create_Container(self):
#creating dict of plots and the broadcaster
plots = {}
broadcaster = BroadcasterTool()
#=====================first container===========================
#first plot
index = linspace(-2*pi,2*pi,1000)
plot = create_line_plot((index, sin(index)+0.5), color = "blue", index_bounds=(self.xmin, self.xmax), value_bounds = (self.ymin, self.ymax))
plot.bgcolor = "white"
plot.border_visible = True
value_mapper = plot.value_mapper
index_mapper = plot.index_mapper
add_default_grids(plot)
add_default_axes(plot)
self.sync_trait("xmin", index_mapper.range, "_low_value")
self.sync_trait("xmax", index_mapper.range, "_high_value")
self.sync_trait("ymin", value_mapper.range, "_low_value")
self.sync_trait("ymax", value_mapper.range, "_high_value")
# range selection
self.rangeselect = RangeSelection(plot, left_button_selects = False, auto_handle_event = False)
plot.active_tool = self.rangeselect
plot.overlays.append(RangeSelectionOverlay(component=plot))
self.rangeselect.on_trait_change(self.on_selection_changed, "selection")
#adds plot to the container
self.container.add(plot)
# second plot
index2 = linspace(-5*pi,4*pi,1000)
plot = create_line_plot((index2, tan(index2)), color = "black", index_bounds=(self.xmin, self.xmax), value_bounds = (self.ymin, self.ymax))
plot.value_mapper = value_mapper
value_mapper.range.add(plot.value)
plot.index_mapper = index_mapper
index_mapper.range.add(plot.index)
# Create a pan tool and give it a reference to the plot
pan = PanTool(plot, drag_button="left")
broadcaster.tools.append(pan)
# allows to zoom
zoom = ZoomTool(plot, tool_mode="box", always_on = False, visible = True)
plot.overlays.append(zoom)
#adds plot to the container
self.container.add(plot)
# appends broadcaster to the container
self.container.tools.append(broadcaster)
# title of the container
self.container.overlays.append(PlotLabel("left plot", component=self.container, overlay_position = "top"))
#==============end of first container===========================
#====================second container===========================
#first plot2
index3 = linspace(-10*pi,10*pi,500)
plot2 = create_scatter_plot((index3, sin(index3)), color = "blue", index_bounds=(self.rangeXMin, self.rangeXMax), value_bounds = (self.ymin, self.ymax))
plot2.bgcolor = "white"
plot2.border_visible = True
plot2.value_mapper = value_mapper # the plot uses the same index and
#plot2.index_mapper = index_mapper # value like the plots of container1
self.sync_trait("rangeXMin", plot2.index_mapper.range, "low", False)
self.sync_trait("rangeXMax", plot2.index_mapper.range, "high", False)
plot2.index_mapper.range.low = 0
plot2.index_mapper.range.high = 2
#value_mapper.range.add(plot2.value)
#index_mapper.range.add(plot2.index)
add_default_grids(plot2)
add_default_axes(plot2)
#adds plot to the container
self.container2.add(plot2)
# title of the container
self.container2.overlays.append(PlotLabel("right plot", component=self.container, overlay_position = "top"))
index_mapper.on_trait_change(self.on_mapper_updated, "updated")
#=============end of second container===========================
def on_mapper_updated(self, mapper, name, value):
if not self.rangeselect.selection:
self.rangeXMin = mapper.range.low
self.rangeXMax = mapper.range.high
def on_selection_changed(self, selection):
if selection != None:
self.rangeXMin, self.rangeXMax = selection
gui = Trait()
gui.configure_traits()
我相信有一种更简单的方法可以实现您想要的：每个Plot对象都有一个range2d属性。如果将第二个range2d设置为指向第一个绘图的range2d，则您已经用半条线完成了工作。下面是一个完整的例子：
class ConnectedRange(HasTraits):
container = Instance(HPlotContainer)
traits_view = View(Item('container', editor=ComponentEditor(),
show_label=False),
width=1000, height=600, resizable=True, title="Connected Range")
def _container_default(self):
x = linspace(-14, 14, 100)
y = sin(x) * x**3
plotdata = ArrayPlotData(x = x, y = y)
scatter = Plot(plotdata)
scatter.plot(("x", "y"), type="scatter", color="blue")
line = Plot(plotdata)
line.plot(("x", "y"), type="line", color="blue")
scatter.tools.append(PanTool(scatter))
scatter.tools.append(ZoomTool(scatter))
line.tools.append(PanTool(line))
line.tools.append(ZoomTool(line))
# connect the ranges so that zooming in one zooms in the other
scatter.range2d = line.range2d
return HPlotContainer(scatter, line)