Multiple Axes¶
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 | # Plot lines in two different plots, with overlaid axis.
# Data
xs = numpy.linspace(0, 1, 256) * Angstrom
ys1 = numpy.linspace(-1, 1, 256) * eV
ys2 = numpy.linspace(1, -1, 256) ** 2 * Kelvin
# Create model1 and add line.
model1 = Plot.PlotModel(Angstrom, eV)
model1.framing().setTitle('Multiple Axes')
model1.framing().setBorders(show_right_border=False)
model1.xAxis().setLabel('x')
model1.yAxis().setLabel('Energy')
model1.yAxis().setColor('mediumpurple')
model1.legend().setVisible(True)
line1 = Plot.Line(xs, ys1)
line1.setLabel('Line1')
line1.setColor('mediumpurple')
line1.setLineWidth(2)
model1.addItem(line1)
# Create model2 and add line.
model2 = Plot.PlotModel(Angstrom, Kelvin)
model2.xAxis().setLabel('x')
model2.yAxis().setLabel('Temperature')
model2.yAxis().setMirrored(True)
model2.yAxis().setColor('royalblue')
model2.legend().setVisible(True)
line2 = Plot.Line(xs, ys2)
line2.setLabel('Line2')
line2.setColor('royalblue')
line2.setLineWidth(2)
model2.addItem(line2)
# Autoscale.
model1.setLimits()
model2.setLimits()
# Create layout.
layout = Plot.OverlayLayout()
layout.setMode(Plot.LAYOUT_MODES.SHARE_X)
# Add main model.
frame1 = Plot.PlotFrame(use_frame_model=False)
frame1.addModel(model1)
layout.addItem(frame1)
frame2 = Plot.PlotFrame(use_frame_model=False)
frame2.addModel(model2)
layout.addItem(frame2)
# Show the plot for interactive editing.
Plot.show(layout)
# Save the plot (can also be saved to svg, pdf, jpeg or hdf5).
Plot.save(layout, 'multiple_axes.png')
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References: Plot.PlotModel, Plot.OverlayLayout, Plot.PlotFrame, Plot.save, Plot.Line, Plot.show.
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