VisualizationΒΆ
pyecsca uses holoviews, bokeh, datashader and matplotlib to visualize traces.
First load an example trace set containing one trace.
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from pyecsca.sca.trace.plot import plot_trace, plot_traces
from pyecsca.sca.trace_set import PickleTraceSet
import holoviews as hv
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trace_set = PickleTraceSet.read("example_traces.pickle")
len(trace_set)
Then setup the interactive bokeh session.
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hv.extension("bokeh")
Plot a trace, filling available width. This uses datashader and will not work on a static rendering of a notebook. This is necessary to deal with large traces (millions of samples), which bokeh or matplotlib would not handle.
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plot_trace(trace_set[0]).opts(width=950, height=600)
Process the trace by a lowpass and highpass filters and plot the two resulting traces.
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from pyecsca.sca.trace.filter import filter_lowpass, filter_highpass
low = filter_lowpass(trace_set[0], 12_500_000, 50_000)
high = filter_highpass(trace_set[0], 12_500_000, 2_250_000)
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plot_traces(high, low).opts(width=950, height=600)
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