{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Visualization\n", "\n", "**pyecsca** uses [holoviews](https://holoviews.org), [bokeh](https://bokeh.org), [datashader](https://datashader.org) and [matplotlib](https://matplotlib.org) to visualize traces." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First load an example trace set containing one trace." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from pyecsca.sca.trace.plot import plot_trace, plot_traces\n", "from pyecsca.sca.trace_set import PickleTraceSet\n", "import holoviews as hv" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "trace_set = PickleTraceSet.read(\"example_traces.pickle\")\n", "len(trace_set)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Then setup the interactive `bokeh` session." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "hv.extension(\"bokeh\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "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." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plot_trace(trace_set[0]).opts(width=950, height=600)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Process the trace by a lowpass and highpass filters and plot the two resulting traces." ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "from pyecsca.sca.trace.filter import filter_lowpass, filter_highpass\n", "low = filter_lowpass(trace_set[0], 12_500_000, 50_000)\n", "high = filter_highpass(trace_set[0], 12_500_000, 2_250_000)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "plot_traces(high, low).opts(width=950, height=600)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "@webio": { "lastCommId": "af3c9a78e49146399668bcefc933c8c3", "lastKernelId": "65143f77-e1f2-4f41-a649-c314f4a014a9" }, "hide_input": false, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.2" }, "latex_envs": { "LaTeX_envs_menu_present": true, "autoclose": false, "autocomplete": true, "bibliofile": "biblio.bib", "cite_by": "apalike", "current_citInitial": 1, "eqLabelWithNumbers": true, "eqNumInitial": 1, "hotkeys": { "equation": "Ctrl-E", "itemize": "Ctrl-I" }, "labels_anchors": false, "latex_user_defs": false, "report_style_numbering": false, "user_envs_cfg": false }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 4 }