Rolling Average

../../../../_images/rolling_average.png 
 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
# Plot a line and use a Rolling Average to smooth oscillations.

# Dummy data with an overlaid oscillation.
x = numpy.linspace(0, 16, 256) * Angstrom
y = (0.3 * (x / Angstrom) ** 1.3 + numpy.sin(2 * numpy.pi * x / Angstrom)) * eV

# Create and tweak model.
model = Plot.PlotModel(Angstrom, eV)
model.title().setText('Plot Rolling Average')
model.xAxis().setLabel(r'$\Delta x$')
model.yAxis().setLabel(r'$\varepsilon$')
model.legend().setVisible(True)

# Create and add line.
line = Plot.Line(x, y)
line.setLabel('Line')
line.setColor('darkgreen')
line.setLineWidth(1.5)
model.addItem(line)

# Create and add rolling average with a window of 16 points.
roll = Plot.RollingAverage(window=16)
line.addItem(roll)
line.setLineStyle(':')

# 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, 'rolling_average.png')

References: Plot.PlotModel, Plot.save, Plot.RollingAverage, Plot.show, Plot.Line.

↩ Go back to Plots