Bars

# Plot bars
# This example creates a simple bar plot

# Generate some dummy data.
position = numpy.linspace(0, 1, 24) * Angstrom
energy = (numpy.random.rand(24) + numpy.linspace(-1, 1, 24) ** 2) * eV

# Create a model.
model = Plot.PlotModel(Angstrom, eV)
model.framing().setTitle('Plot Bars')
model.legend().setVisible(True)
model.xAxis().setLabel('Length')
model.yAxis().setLabel('Energy')

# Change y-axis autoscale padding.
model.yAxis().setAutoscalePadding(0, 0.5)

# Create and add vertical bar plot.
bars = Plot.VerticalBar(position, energy)
bars.setLabel('Bars')
bars.setFaceColor('royalblue')
model.addItem(bars)

# Autoscale.
model.setLimits()

# Show the plot for interactive editing.
Plot.show(model)

# Save the plot (can also be saved to svg, pdf, jpeg or hdf5).
Plot.save(model, 'bars.png')

References: Plot.save, Plot.PlotModel, Plot.show, Plot.VerticalBar.

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