Repository URL to install this package:
Version:
5.0.0 ▾
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#!/usr/bin/env python
""" Plot with scroll and pan-zoom interaction.
Draws some x-y line and scatter plots. On the plot:
- Scroll by dragging the scrollbar above the plot
- Left-drag pans the plot.
- Mousewheel up and down zooms the plot in and out.
- Pressing "z" brings up the Zoom Box, and you can click-drag a rectangular
region to zoom. If you use a sequence of zoom boxes, pressing alt-left-arrow
and alt-right-arrow moves you forwards and backwards through the "zoom
history".
"""
# Major library imports
from numpy import linspace
from scipy.special import jn
# Enthought library imports
from enable.api import Component, ComponentEditor
from traits.api import HasTraits, Instance
from traitsui.api import Item, Group, View
# Chaco imports
from chaco.api import ArrayPlotData, VPlotContainer, Plot
from chaco.plotscrollbar import PlotScrollBar
from chaco.tools.api import PanTool, ZoomTool
# ===============================================================================
# # Create the Chaco plot.
# ===============================================================================
def _create_plot_component():
# Create some x-y data series to plot
x = linspace(-2.0, 10.0, 100)
pd = ArrayPlotData(index=x)
for i in range(5):
pd.set_data("y" + str(i), jn(i, x))
# Create some line plots of some of the data
plot1 = Plot(pd, padding=50)
plot1.plot(("index", "y0", "y1", "y2"), name="j_n, n<3", color="red")
plot1.plot(("index", "y3"), name="j_3", color="blue")
# Attach some tools to the plot
plot1.tools.append(PanTool(plot1))
zoom = ZoomTool(component=plot1, tool_mode="box", always_on=False)
plot1.overlays.append(zoom)
# Add the scrollbar
hscrollbar = PlotScrollBar(
component=plot1, axis="index", resizable="h", height=15
)
plot1.padding_top = 0
# NOTE: scrollbar fails to display with index_range covering full range
plot1.index_range.high_setting = 1
hscrollbar.force_data_update()
# Create a container and add our plots
container = VPlotContainer()
container.add(plot1)
container.add(hscrollbar)
return container
# ===============================================================================
# Attributes to use for the plot view.
size = (900, 500)
title = "Scrollbar example"
# ===============================================================================
# # Demo class that is used by the demo.py application.
# ===============================================================================
class Demo(HasTraits):
plot = Instance(Component)
traits_view = View(
Group(
Item("plot", editor=ComponentEditor(size=size), show_label=False),
orientation="vertical",
),
resizable=True,
title=title,
)
def _plot_default(self):
return _create_plot_component()
demo = Demo()
if __name__ == "__main__":
demo.configure_traits()