3
Allows editing of a line plot.
5
Left-dragging a point will move its position.
7
Right-drag pans the plot.
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Mousewheel up and down zooms the plot in and out.
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Pressing "z" brings up the Zoom Box, and you can click-drag a rectangular region to
12
zoom. If you use a sequence of zoom boxes, pressing alt-left-arrow and
13
alt-right-arrow moves you forwards and backwards through the "zoom history".
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# Major library imports
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from numpy import linspace
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from scipy.special import jn
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from chaco.example_support import COLOR_PALETTE
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# Enthought library imports
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from enable.tools.api import DragTool
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from enable.api import Component, ComponentEditor
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from traits.api import HasTraits, Instance, Int, Tuple
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from traitsui.api import Item, Group, View
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from chaco.api import add_default_axes, add_default_grids, \
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OverlayPlotContainer, PlotLabel, ScatterPlot, create_line_plot
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from chaco.tools.api import PanTool, ZoomTool
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class PointDraggingTool(DragTool):
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component = Instance(Component)
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# The pixel distance from a point that the cursor is still considered
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# to be 'on' the point
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# The index of the point being dragged
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# The original dataspace values of the index and value datasources
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# corresponding to _drag_index
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def is_draggable(self, x, y):
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# Check to see if (x,y) are over one of the points in self.component
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if self._lookup_point(x, y) is not None:
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def normal_mouse_move(self, event):
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ndx = plot.map_index((event.x, event.y), self.threshold)
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if plot.index.metadata.has_key('selections'):
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del plot.index.metadata['selections']
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plot.index.metadata['selections'] = [ndx]
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plot.invalidate_draw()
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def drag_start(self, event):
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ndx = plot.map_index((event.x, event.y), self.threshold)
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self._drag_index = ndx
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self._orig_value = (plot.index.get_data()[ndx], plot.value.get_data()[ndx])
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def dragging(self, event):
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data_x, data_y = plot.map_data((event.x, event.y))
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plot.index._data[self._drag_index] = data_x
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plot.value._data[self._drag_index] = data_y
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plot.index.data_changed = True
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plot.value.data_changed = True
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def drag_cancel(self, event):
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plot.index._data[self._drag_index] = self._orig_value[0]
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plot.value._data[self._drag_index] = self._orig_value[1]
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plot.index.data_changed = True
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plot.value.data_changed = True
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def drag_end(self, event):
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if plot.index.metadata.has_key('selections'):
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del plot.index.metadata['selections']
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plot.invalidate_draw()
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plot.request_redraw()
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def _lookup_point(self, x, y):
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""" Finds the point closest to a screen point if it is within self.threshold
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(screen_x, screen_y, distance) of datapoint nearest to the input *(x,y)*.
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If no data points are within *self.threshold* of *(x,y)*, returns None.
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if hasattr(self.component, 'get_closest_point'):
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# This is on BaseXYPlots
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return self.component.get_closest_point((x,y), threshold=self.threshold)
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#===============================================================================
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# # Create the Chaco plot.
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#===============================================================================
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def _create_plot_component():
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container = OverlayPlotContainer(padding = 50, fill_padding = True,
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bgcolor = "lightgray", use_backbuffer=True)
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# Create the initial X-series of data
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x = linspace(low, high, numpoints)
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lineplot = create_line_plot((x,y), color=tuple(COLOR_PALETTE[0]), width=2.0)
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lineplot.selected_color = "none"
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scatter = ScatterPlot(index = lineplot.index,
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value = lineplot.value,
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index_mapper = lineplot.index_mapper,
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value_mapper = lineplot.value_mapper,
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color = tuple(COLOR_PALETTE[0]),
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scatter.index.sort_order = "ascending"
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scatter.bgcolor = "white"
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scatter.border_visible = True
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add_default_grids(scatter)
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add_default_axes(scatter)
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scatter.tools.append(PanTool(scatter, drag_button="right"))
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# The ZoomTool tool is stateful and allows drawing a zoom
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# box to select a zoom region.
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zoom = ZoomTool(scatter, tool_mode="box", always_on=False, drag_button=None)
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scatter.overlays.append(zoom)
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scatter.tools.append(PointDraggingTool(scatter))
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container.add(lineplot)
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container.add(scatter)
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# Add the title at the top
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container.overlays.append(PlotLabel("Line Editor",
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overlay_position="top"))
180
#===============================================================================
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# Attributes to use for the plot view.
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title="Simple line plot"
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#===============================================================================
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# # Demo class that is used by the demo.py application.
186
#===============================================================================
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class Demo(HasTraits):
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plot = Instance(Component)
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Item('plot', editor=ComponentEditor(size=size),
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orientation = "vertical"),
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resizable=True, title=title
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def _plot_default(self):
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return _create_plot_component()
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if __name__ == "__main__":
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demo.configure_traits()
added
removed
examples/demo/edit_line.py
