私は、2つのプロットが隣り合っているプログラムに取り組んでいます。最初のプロットには、ZoomTool、PanTool、およびRangeSelectionツールがあります。2番目のプロットは、左側のプロットで行われた変更（ズームなど）に従って変更する必要があります。
ズーム後に新しいインデックスと値を取得する可能性はありますか？また、範囲選択を行った後、新しいインデックス範囲を取得するにはどうすればよいですか？このインデックスは、選択したパーツが選択されなくなるまで、右側のプロットの新しいインデックスにもなります。
このテキストの下にコードを投稿しますが、ここでも確認できます
これが私のコードです：
#=================================================
# 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()