fft.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import scipy as sp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy import fftpack"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 464,
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(1234) # pour un peu de reproductibilité\n",
    "period = 29 # in minutes\n",
    "T = 24*15 # window time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 465,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Frequency=0.034482758620689655\n"
     ]
    }
   ],
   "source": [
    "print(f\"Frequency={1/period}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 466,
   "metadata": {},
   "outputs": [],
   "source": [
    "t0 = np.arange(0, T, 1)\n",
    "sig0 = (np.sin(2 * np.pi / period * t0) + 0.05 * np.random.randn(t0.size))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 467,
   "metadata": {},
   "outputs": [],
   "source": [
    "time_step = 15\n",
    "t = t0[0::time_step]\n",
    "sig = sig0[0::time_step]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 468,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/javascript": [
       "/* Put everything inside the global mpl namespace */\n",
       "/* global mpl */\n",
       "window.mpl = {};\n",
       "\n",
       "mpl.get_websocket_type = function () {\n",
       "    if (typeof WebSocket !== 'undefined') {\n",
       "        return WebSocket;\n",
       "    } else if (typeof MozWebSocket !== 'undefined') {\n",
       "        return MozWebSocket;\n",
       "    } else {\n",
       "        alert(\n",
       "            'Your browser does not have WebSocket support. ' +\n",
       "                'Please try Chrome, Safari or Firefox ≥ 6. ' +\n",
       "                'Firefox 4 and 5 are also supported but you ' +\n",
       "                'have to enable WebSockets in about:config.'\n",
       "        );\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure = function (figure_id, websocket, ondownload, parent_element) {\n",
       "    this.id = figure_id;\n",
       "\n",
       "    this.ws = websocket;\n",
       "\n",
       "    this.supports_binary = this.ws.binaryType !== undefined;\n",
       "\n",
       "    if (!this.supports_binary) {\n",
       "        var warnings = document.getElementById('mpl-warnings');\n",
       "        if (warnings) {\n",
       "            warnings.style.display = 'block';\n",
       "            warnings.textContent =\n",
       "                'This browser does not support binary websocket messages. ' +\n",
       "                'Performance may be slow.';\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.imageObj = new Image();\n",
       "\n",
       "    this.context = undefined;\n",
       "    this.message = undefined;\n",
       "    this.canvas = undefined;\n",
       "    this.rubberband_canvas = undefined;\n",
       "    this.rubberband_context = undefined;\n",
       "    this.format_dropdown = undefined;\n",
       "\n",
       "    this.image_mode = 'full';\n",
       "\n",
       "    this.root = document.createElement('div');\n",
       "    this.root.setAttribute('style', 'display: inline-block');\n",
       "    this._root_extra_style(this.root);\n",
       "\n",
       "    parent_element.appendChild(this.root);\n",
       "\n",
       "    this._init_header(this);\n",
       "    this._init_canvas(this);\n",
       "    this._init_toolbar(this);\n",
       "\n",
       "    var fig = this;\n",
       "\n",
       "    this.waiting = false;\n",
       "\n",
       "    this.ws.onopen = function () {\n",
       "        fig.send_message('supports_binary', { value: fig.supports_binary });\n",
       "        fig.send_message('send_image_mode', {});\n",
       "        if (fig.ratio !== 1) {\n",
       "            fig.send_message('set_device_pixel_ratio', {\n",
       "                device_pixel_ratio: fig.ratio,\n",
       "            });\n",
       "        }\n",
       "        fig.send_message('refresh', {});\n",
       "    };\n",
       "\n",
       "    this.imageObj.onload = function () {\n",
       "        if (fig.image_mode === 'full') {\n",
       "            // Full images could contain transparency (where diff images\n",
       "            // almost always do), so we need to clear the canvas so that\n",
       "            // there is no ghosting.\n",
       "            fig.context.clearRect(0, 0, fig.canvas.width, fig.canvas.height);\n",
       "        }\n",
       "        fig.context.drawImage(fig.imageObj, 0, 0);\n",
       "    };\n",
       "\n",
       "    this.imageObj.onunload = function () {\n",
       "        fig.ws.close();\n",
       "    };\n",
       "\n",
       "    this.ws.onmessage = this._make_on_message_function(this);\n",
       "\n",
       "    this.ondownload = ondownload;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_header = function () {\n",
       "    var titlebar = document.createElement('div');\n",
       "    titlebar.classList =\n",
       "        'ui-dialog-titlebar ui-widget-header ui-corner-all ui-helper-clearfix';\n",
       "    var titletext = document.createElement('div');\n",
       "    titletext.classList = 'ui-dialog-title';\n",
       "    titletext.setAttribute(\n",
       "        'style',\n",
       "        'width: 100%; text-align: center; padding: 3px;'\n",
       "    );\n",
       "    titlebar.appendChild(titletext);\n",
       "    this.root.appendChild(titlebar);\n",
       "    this.header = titletext;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (_canvas_div) {};\n",
       "\n",
       "mpl.figure.prototype._init_canvas = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var canvas_div = (this.canvas_div = document.createElement('div'));\n",
       "    canvas_div.setAttribute(\n",
       "        'style',\n",
       "        'border: 1px solid #ddd;' +\n",
       "            'box-sizing: content-box;' +\n",
       "            'clear: both;' +\n",
       "            'min-height: 1px;' +\n",
       "            'min-width: 1px;' +\n",
       "            'outline: 0;' +\n",
       "            'overflow: hidden;' +\n",
       "            'position: relative;' +\n",
       "            'resize: both;'\n",
       "    );\n",
       "\n",
       "    function on_keyboard_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.key_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    canvas_div.addEventListener(\n",
       "        'keydown',\n",
       "        on_keyboard_event_closure('key_press')\n",
       "    );\n",
       "    canvas_div.addEventListener(\n",
       "        'keyup',\n",
       "        on_keyboard_event_closure('key_release')\n",
       "    );\n",
       "\n",
       "    this._canvas_extra_style(canvas_div);\n",
       "    this.root.appendChild(canvas_div);\n",
       "\n",
       "    var canvas = (this.canvas = document.createElement('canvas'));\n",
       "    canvas.classList.add('mpl-canvas');\n",
       "    canvas.setAttribute('style', 'box-sizing: content-box;');\n",
       "\n",
       "    this.context = canvas.getContext('2d');\n",
       "\n",
       "    var backingStore =\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        this.context.webkitBackingStorePixelRatio ||\n",
       "        this.context.mozBackingStorePixelRatio ||\n",
       "        this.context.msBackingStorePixelRatio ||\n",
       "        this.context.oBackingStorePixelRatio ||\n",
       "        this.context.backingStorePixelRatio ||\n",
       "        1;\n",
       "\n",
       "    this.ratio = (window.devicePixelRatio || 1) / backingStore;\n",
       "\n",
       "    var rubberband_canvas = (this.rubberband_canvas = document.createElement(\n",
       "        'canvas'\n",
       "    ));\n",
       "    rubberband_canvas.setAttribute(\n",
       "        'style',\n",
       "        'box-sizing: content-box; position: absolute; left: 0; top: 0; z-index: 1;'\n",
       "    );\n",
       "\n",
       "    // Apply a ponyfill if ResizeObserver is not implemented by browser.\n",
       "    if (this.ResizeObserver === undefined) {\n",
       "        if (window.ResizeObserver !== undefined) {\n",
       "            this.ResizeObserver = window.ResizeObserver;\n",
       "        } else {\n",
       "            var obs = _JSXTOOLS_RESIZE_OBSERVER({});\n",
       "            this.ResizeObserver = obs.ResizeObserver;\n",
       "        }\n",
       "    }\n",
       "\n",
       "    this.resizeObserverInstance = new this.ResizeObserver(function (entries) {\n",
       "        var nentries = entries.length;\n",
       "        for (var i = 0; i < nentries; i++) {\n",
       "            var entry = entries[i];\n",
       "            var width, height;\n",
       "            if (entry.contentBoxSize) {\n",
       "                if (entry.contentBoxSize instanceof Array) {\n",
       "                    // Chrome 84 implements new version of spec.\n",
       "                    width = entry.contentBoxSize[0].inlineSize;\n",
       "                    height = entry.contentBoxSize[0].blockSize;\n",
       "                } else {\n",
       "                    // Firefox implements old version of spec.\n",
       "                    width = entry.contentBoxSize.inlineSize;\n",
       "                    height = entry.contentBoxSize.blockSize;\n",
       "                }\n",
       "            } else {\n",
       "                // Chrome <84 implements even older version of spec.\n",
       "                width = entry.contentRect.width;\n",
       "                height = entry.contentRect.height;\n",
       "            }\n",
       "\n",
       "            // Keep the size of the canvas and rubber band canvas in sync with\n",
       "            // the canvas container.\n",
       "            if (entry.devicePixelContentBoxSize) {\n",
       "                // Chrome 84 implements new version of spec.\n",
       "                canvas.setAttribute(\n",
       "                    'width',\n",
       "                    entry.devicePixelContentBoxSize[0].inlineSize\n",
       "                );\n",
       "                canvas.setAttribute(\n",
       "                    'height',\n",
       "                    entry.devicePixelContentBoxSize[0].blockSize\n",
       "                );\n",
       "            } else {\n",
       "                canvas.setAttribute('width', width * fig.ratio);\n",
       "                canvas.setAttribute('height', height * fig.ratio);\n",
       "            }\n",
       "            canvas.setAttribute(\n",
       "                'style',\n",
       "                'width: ' + width + 'px; height: ' + height + 'px;'\n",
       "            );\n",
       "\n",
       "            rubberband_canvas.setAttribute('width', width);\n",
       "            rubberband_canvas.setAttribute('height', height);\n",
       "\n",
       "            // And update the size in Python. We ignore the initial 0/0 size\n",
       "            // that occurs as the element is placed into the DOM, which should\n",
       "            // otherwise not happen due to the minimum size styling.\n",
       "            if (fig.ws.readyState == 1 && width != 0 && height != 0) {\n",
       "                fig.request_resize(width, height);\n",
       "            }\n",
       "        }\n",
       "    });\n",
       "    this.resizeObserverInstance.observe(canvas_div);\n",
       "\n",
       "    function on_mouse_event_closure(name) {\n",
       "        return function (event) {\n",
       "            return fig.mouse_event(event, name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousedown',\n",
       "        on_mouse_event_closure('button_press')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseup',\n",
       "        on_mouse_event_closure('button_release')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'dblclick',\n",
       "        on_mouse_event_closure('dblclick')\n",
       "    );\n",
       "    // Throttle sequential mouse events to 1 every 20ms.\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mousemove',\n",
       "        on_mouse_event_closure('motion_notify')\n",
       "    );\n",
       "\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseenter',\n",
       "        on_mouse_event_closure('figure_enter')\n",
       "    );\n",
       "    rubberband_canvas.addEventListener(\n",
       "        'mouseleave',\n",
       "        on_mouse_event_closure('figure_leave')\n",
       "    );\n",
       "\n",
       "    canvas_div.addEventListener('wheel', function (event) {\n",
       "        if (event.deltaY < 0) {\n",
       "            event.step = 1;\n",
       "        } else {\n",
       "            event.step = -1;\n",
       "        }\n",
       "        on_mouse_event_closure('scroll')(event);\n",
       "    });\n",
       "\n",
       "    canvas_div.appendChild(canvas);\n",
       "    canvas_div.appendChild(rubberband_canvas);\n",
       "\n",
       "    this.rubberband_context = rubberband_canvas.getContext('2d');\n",
       "    this.rubberband_context.strokeStyle = '#000000';\n",
       "\n",
       "    this._resize_canvas = function (width, height, forward) {\n",
       "        if (forward) {\n",
       "            canvas_div.style.width = width + 'px';\n",
       "            canvas_div.style.height = height + 'px';\n",
       "        }\n",
       "    };\n",
       "\n",
       "    // Disable right mouse context menu.\n",
       "    this.rubberband_canvas.addEventListener('contextmenu', function (_e) {\n",
       "        event.preventDefault();\n",
       "        return false;\n",
       "    });\n",
       "\n",
       "    function set_focus() {\n",
       "        canvas.focus();\n",
       "        canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    window.setTimeout(set_focus, 100);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'mpl-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'mpl-button-group';\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'mpl-button-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        var button = (fig.buttons[name] = document.createElement('button'));\n",
       "        button.classList = 'mpl-widget';\n",
       "        button.setAttribute('role', 'button');\n",
       "        button.setAttribute('aria-disabled', 'false');\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "\n",
       "        var icon_img = document.createElement('img');\n",
       "        icon_img.src = '_images/' + image + '.png';\n",
       "        icon_img.srcset = '_images/' + image + '_large.png 2x';\n",
       "        icon_img.alt = tooltip;\n",
       "        button.appendChild(icon_img);\n",
       "\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    var fmt_picker = document.createElement('select');\n",
       "    fmt_picker.classList = 'mpl-widget';\n",
       "    toolbar.appendChild(fmt_picker);\n",
       "    this.format_dropdown = fmt_picker;\n",
       "\n",
       "    for (var ind in mpl.extensions) {\n",
       "        var fmt = mpl.extensions[ind];\n",
       "        var option = document.createElement('option');\n",
       "        option.selected = fmt === mpl.default_extension;\n",
       "        option.innerHTML = fmt;\n",
       "        fmt_picker.appendChild(option);\n",
       "    }\n",
       "\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.request_resize = function (x_pixels, y_pixels) {\n",
       "    // Request matplotlib to resize the figure. Matplotlib will then trigger a resize in the client,\n",
       "    // which will in turn request a refresh of the image.\n",
       "    this.send_message('resize', { width: x_pixels, height: y_pixels });\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_message = function (type, properties) {\n",
       "    properties['type'] = type;\n",
       "    properties['figure_id'] = this.id;\n",
       "    this.ws.send(JSON.stringify(properties));\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.send_draw_message = function () {\n",
       "    if (!this.waiting) {\n",
       "        this.waiting = true;\n",
       "        this.ws.send(JSON.stringify({ type: 'draw', figure_id: this.id }));\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    var format_dropdown = fig.format_dropdown;\n",
       "    var format = format_dropdown.options[format_dropdown.selectedIndex].value;\n",
       "    fig.ondownload(fig, format);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_resize = function (fig, msg) {\n",
       "    var size = msg['size'];\n",
       "    if (size[0] !== fig.canvas.width || size[1] !== fig.canvas.height) {\n",
       "        fig._resize_canvas(size[0], size[1], msg['forward']);\n",
       "        fig.send_message('refresh', {});\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_rubberband = function (fig, msg) {\n",
       "    var x0 = msg['x0'] / fig.ratio;\n",
       "    var y0 = (fig.canvas.height - msg['y0']) / fig.ratio;\n",
       "    var x1 = msg['x1'] / fig.ratio;\n",
       "    var y1 = (fig.canvas.height - msg['y1']) / fig.ratio;\n",
       "    x0 = Math.floor(x0) + 0.5;\n",
       "    y0 = Math.floor(y0) + 0.5;\n",
       "    x1 = Math.floor(x1) + 0.5;\n",
       "    y1 = Math.floor(y1) + 0.5;\n",
       "    var min_x = Math.min(x0, x1);\n",
       "    var min_y = Math.min(y0, y1);\n",
       "    var width = Math.abs(x1 - x0);\n",
       "    var height = Math.abs(y1 - y0);\n",
       "\n",
       "    fig.rubberband_context.clearRect(\n",
       "        0,\n",
       "        0,\n",
       "        fig.canvas.width / fig.ratio,\n",
       "        fig.canvas.height / fig.ratio\n",
       "    );\n",
       "\n",
       "    fig.rubberband_context.strokeRect(min_x, min_y, width, height);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_figure_label = function (fig, msg) {\n",
       "    // Updates the figure title.\n",
       "    fig.header.textContent = msg['label'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_cursor = function (fig, msg) {\n",
       "    fig.rubberband_canvas.style.cursor = msg['cursor'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_message = function (fig, msg) {\n",
       "    fig.message.textContent = msg['message'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_draw = function (fig, _msg) {\n",
       "    // Request the server to send over a new figure.\n",
       "    fig.send_draw_message();\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_image_mode = function (fig, msg) {\n",
       "    fig.image_mode = msg['mode'];\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_history_buttons = function (fig, msg) {\n",
       "    for (var key in msg) {\n",
       "        if (!(key in fig.buttons)) {\n",
       "            continue;\n",
       "        }\n",
       "        fig.buttons[key].disabled = !msg[key];\n",
       "        fig.buttons[key].setAttribute('aria-disabled', !msg[key]);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_navigate_mode = function (fig, msg) {\n",
       "    if (msg['mode'] === 'PAN') {\n",
       "        fig.buttons['Pan'].classList.add('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    } else if (msg['mode'] === 'ZOOM') {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.add('active');\n",
       "    } else {\n",
       "        fig.buttons['Pan'].classList.remove('active');\n",
       "        fig.buttons['Zoom'].classList.remove('active');\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Called whenever the canvas gets updated.\n",
       "    this.send_message('ack', {});\n",
       "};\n",
       "\n",
       "// A function to construct a web socket function for onmessage handling.\n",
       "// Called in the figure constructor.\n",
       "mpl.figure.prototype._make_on_message_function = function (fig) {\n",
       "    return function socket_on_message(evt) {\n",
       "        if (evt.data instanceof Blob) {\n",
       "            var img = evt.data;\n",
       "            if (img.type !== 'image/png') {\n",
       "                /* FIXME: We get \"Resource interpreted as Image but\n",
       "                 * transferred with MIME type text/plain:\" errors on\n",
       "                 * Chrome.  But how to set the MIME type?  It doesn't seem\n",
       "                 * to be part of the websocket stream */\n",
       "                img.type = 'image/png';\n",
       "            }\n",
       "\n",
       "            /* Free the memory for the previous frames */\n",
       "            if (fig.imageObj.src) {\n",
       "                (window.URL || window.webkitURL).revokeObjectURL(\n",
       "                    fig.imageObj.src\n",
       "                );\n",
       "            }\n",
       "\n",
       "            fig.imageObj.src = (window.URL || window.webkitURL).createObjectURL(\n",
       "                img\n",
       "            );\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        } else if (\n",
       "            typeof evt.data === 'string' &&\n",
       "            evt.data.slice(0, 21) === 'data:image/png;base64'\n",
       "        ) {\n",
       "            fig.imageObj.src = evt.data;\n",
       "            fig.updated_canvas_event();\n",
       "            fig.waiting = false;\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        var msg = JSON.parse(evt.data);\n",
       "        var msg_type = msg['type'];\n",
       "\n",
       "        // Call the  \"handle_{type}\" callback, which takes\n",
       "        // the figure and JSON message as its only arguments.\n",
       "        try {\n",
       "            var callback = fig['handle_' + msg_type];\n",
       "        } catch (e) {\n",
       "            console.log(\n",
       "                \"No handler for the '\" + msg_type + \"' message type: \",\n",
       "                msg\n",
       "            );\n",
       "            return;\n",
       "        }\n",
       "\n",
       "        if (callback) {\n",
       "            try {\n",
       "                // console.log(\"Handling '\" + msg_type + \"' message: \", msg);\n",
       "                callback(fig, msg);\n",
       "            } catch (e) {\n",
       "                console.log(\n",
       "                    \"Exception inside the 'handler_\" + msg_type + \"' callback:\",\n",
       "                    e,\n",
       "                    e.stack,\n",
       "                    msg\n",
       "                );\n",
       "            }\n",
       "        }\n",
       "    };\n",
       "};\n",
       "\n",
       "// from https://stackoverflow.com/questions/1114465/getting-mouse-location-in-canvas\n",
       "mpl.findpos = function (e) {\n",
       "    //this section is from http://www.quirksmode.org/js/events_properties.html\n",
       "    var targ;\n",
       "    if (!e) {\n",
       "        e = window.event;\n",
       "    }\n",
       "    if (e.target) {\n",
       "        targ = e.target;\n",
       "    } else if (e.srcElement) {\n",
       "        targ = e.srcElement;\n",
       "    }\n",
       "    if (targ.nodeType === 3) {\n",
       "        // defeat Safari bug\n",
       "        targ = targ.parentNode;\n",
       "    }\n",
       "\n",
       "    // pageX,Y are the mouse positions relative to the document\n",
       "    var boundingRect = targ.getBoundingClientRect();\n",
       "    var x = e.pageX - (boundingRect.left + document.body.scrollLeft);\n",
       "    var y = e.pageY - (boundingRect.top + document.body.scrollTop);\n",
       "\n",
       "    return { x: x, y: y };\n",
       "};\n",
       "\n",
       "/*\n",
       " * return a copy of an object with only non-object keys\n",
       " * we need this to avoid circular references\n",
       " * https://stackoverflow.com/a/24161582/3208463\n",
       " */\n",
       "function simpleKeys(original) {\n",
       "    return Object.keys(original).reduce(function (obj, key) {\n",
       "        if (typeof original[key] !== 'object') {\n",
       "            obj[key] = original[key];\n",
       "        }\n",
       "        return obj;\n",
       "    }, {});\n",
       "}\n",
       "\n",
       "mpl.figure.prototype.mouse_event = function (event, name) {\n",
       "    var canvas_pos = mpl.findpos(event);\n",
       "\n",
       "    if (name === 'button_press') {\n",
       "        this.canvas.focus();\n",
       "        this.canvas_div.focus();\n",
       "    }\n",
       "\n",
       "    var x = canvas_pos.x * this.ratio;\n",
       "    var y = canvas_pos.y * this.ratio;\n",
       "\n",
       "    this.send_message(name, {\n",
       "        x: x,\n",
       "        y: y,\n",
       "        button: event.button,\n",
       "        step: event.step,\n",
       "        guiEvent: simpleKeys(event),\n",
       "    });\n",
       "\n",
       "    /* This prevents the web browser from automatically changing to\n",
       "     * the text insertion cursor when the button is pressed.  We want\n",
       "     * to control all of the cursor setting manually through the\n",
       "     * 'cursor' event from matplotlib */\n",
       "    event.preventDefault();\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (_event, _name) {\n",
       "    // Handle any extra behaviour associated with a key event\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.key_event = function (event, name) {\n",
       "    // Prevent repeat events\n",
       "    if (name === 'key_press') {\n",
       "        if (event.key === this._key) {\n",
       "            return;\n",
       "        } else {\n",
       "            this._key = event.key;\n",
       "        }\n",
       "    }\n",
       "    if (name === 'key_release') {\n",
       "        this._key = null;\n",
       "    }\n",
       "\n",
       "    var value = '';\n",
       "    if (event.ctrlKey && event.key !== 'Control') {\n",
       "        value += 'ctrl+';\n",
       "    }\n",
       "    else if (event.altKey && event.key !== 'Alt') {\n",
       "        value += 'alt+';\n",
       "    }\n",
       "    else if (event.shiftKey && event.key !== 'Shift') {\n",
       "        value += 'shift+';\n",
       "    }\n",
       "\n",
       "    value += 'k' + event.key;\n",
       "\n",
       "    this._key_event_extra(event, name);\n",
       "\n",
       "    this.send_message(name, { key: value, guiEvent: simpleKeys(event) });\n",
       "    return false;\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onclick = function (name) {\n",
       "    if (name === 'download') {\n",
       "        this.handle_save(this, null);\n",
       "    } else {\n",
       "        this.send_message('toolbar_button', { name: name });\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.toolbar_button_onmouseover = function (tooltip) {\n",
       "    this.message.textContent = tooltip;\n",
       "};\n",
       "\n",
       "///////////////// REMAINING CONTENT GENERATED BY embed_js.py /////////////////\n",
       "// prettier-ignore\n",
       "var _JSXTOOLS_RESIZE_OBSERVER=function(A){var t,i=new WeakMap,n=new WeakMap,a=new WeakMap,r=new WeakMap,o=new Set;function s(e){if(!(this instanceof s))throw new TypeError(\"Constructor requires 'new' operator\");i.set(this,e)}function h(){throw new TypeError(\"Function is not a constructor\")}function c(e,t,i,n){e=0 in arguments?Number(arguments[0]):0,t=1 in arguments?Number(arguments[1]):0,i=2 in arguments?Number(arguments[2]):0,n=3 in arguments?Number(arguments[3]):0,this.right=(this.x=this.left=e)+(this.width=i),this.bottom=(this.y=this.top=t)+(this.height=n),Object.freeze(this)}function d(){t=requestAnimationFrame(d);var s=new WeakMap,p=new Set;o.forEach((function(t){r.get(t).forEach((function(i){var r=t instanceof window.SVGElement,o=a.get(t),d=r?0:parseFloat(o.paddingTop),f=r?0:parseFloat(o.paddingRight),l=r?0:parseFloat(o.paddingBottom),u=r?0:parseFloat(o.paddingLeft),g=r?0:parseFloat(o.borderTopWidth),m=r?0:parseFloat(o.borderRightWidth),w=r?0:parseFloat(o.borderBottomWidth),b=u+f,F=d+l,v=(r?0:parseFloat(o.borderLeftWidth))+m,W=g+w,y=r?0:t.offsetHeight-W-t.clientHeight,E=r?0:t.offsetWidth-v-t.clientWidth,R=b+v,z=F+W,M=r?t.width:parseFloat(o.width)-R-E,O=r?t.height:parseFloat(o.height)-z-y;if(n.has(t)){var k=n.get(t);if(k[0]===M&&k[1]===O)return}n.set(t,[M,O]);var S=Object.create(h.prototype);S.target=t,S.contentRect=new c(u,d,M,O),s.has(i)||(s.set(i,[]),p.add(i)),s.get(i).push(S)}))})),p.forEach((function(e){i.get(e).call(e,s.get(e),e)}))}return s.prototype.observe=function(i){if(i instanceof window.Element){r.has(i)||(r.set(i,new Set),o.add(i),a.set(i,window.getComputedStyle(i)));var n=r.get(i);n.has(this)||n.add(this),cancelAnimationFrame(t),t=requestAnimationFrame(d)}},s.prototype.unobserve=function(i){if(i instanceof window.Element&&r.has(i)){var n=r.get(i);n.has(this)&&(n.delete(this),n.size||(r.delete(i),o.delete(i))),n.size||r.delete(i),o.size||cancelAnimationFrame(t)}},A.DOMRectReadOnly=c,A.ResizeObserver=s,A.ResizeObserverEntry=h,A}; // eslint-disable-line\n",
       "mpl.toolbar_items = [[\"Home\", \"Reset original view\", \"fa fa-home icon-home\", \"home\"], [\"Back\", \"Back to previous view\", \"fa fa-arrow-left icon-arrow-left\", \"back\"], [\"Forward\", \"Forward to next view\", \"fa fa-arrow-right icon-arrow-right\", \"forward\"], [\"\", \"\", \"\", \"\"], [\"Pan\", \"Left button pans, Right button zooms\\nx/y fixes axis, CTRL fixes aspect\", \"fa fa-arrows icon-move\", \"pan\"], [\"Zoom\", \"Zoom to rectangle\\nx/y fixes axis\", \"fa fa-square-o icon-check-empty\", \"zoom\"], [\"\", \"\", \"\", \"\"], [\"Download\", \"Download plot\", \"fa fa-floppy-o icon-save\", \"download\"]];\n",
       "\n",
       "mpl.extensions = [\"eps\", \"jpeg\", \"pgf\", \"pdf\", \"png\", \"ps\", \"raw\", \"svg\", \"tif\"];\n",
       "\n",
       "mpl.default_extension = \"png\";/* global mpl */\n",
       "\n",
       "var comm_websocket_adapter = function (comm) {\n",
       "    // Create a \"websocket\"-like object which calls the given IPython comm\n",
       "    // object with the appropriate methods. Currently this is a non binary\n",
       "    // socket, so there is still some room for performance tuning.\n",
       "    var ws = {};\n",
       "\n",
       "    ws.binaryType = comm.kernel.ws.binaryType;\n",
       "    ws.readyState = comm.kernel.ws.readyState;\n",
       "    function updateReadyState(_event) {\n",
       "        if (comm.kernel.ws) {\n",
       "            ws.readyState = comm.kernel.ws.readyState;\n",
       "        } else {\n",
       "            ws.readyState = 3; // Closed state.\n",
       "        }\n",
       "    }\n",
       "    comm.kernel.ws.addEventListener('open', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('close', updateReadyState);\n",
       "    comm.kernel.ws.addEventListener('error', updateReadyState);\n",
       "\n",
       "    ws.close = function () {\n",
       "        comm.close();\n",
       "    };\n",
       "    ws.send = function (m) {\n",
       "        //console.log('sending', m);\n",
       "        comm.send(m);\n",
       "    };\n",
       "    // Register the callback with on_msg.\n",
       "    comm.on_msg(function (msg) {\n",
       "        //console.log('receiving', msg['content']['data'], msg);\n",
       "        var data = msg['content']['data'];\n",
       "        if (data['blob'] !== undefined) {\n",
       "            data = {\n",
       "                data: new Blob(msg['buffers'], { type: data['blob'] }),\n",
       "            };\n",
       "        }\n",
       "        // Pass the mpl event to the overridden (by mpl) onmessage function.\n",
       "        ws.onmessage(data);\n",
       "    });\n",
       "    return ws;\n",
       "};\n",
       "\n",
       "mpl.mpl_figure_comm = function (comm, msg) {\n",
       "    // This is the function which gets called when the mpl process\n",
       "    // starts-up an IPython Comm through the \"matplotlib\" channel.\n",
       "\n",
       "    var id = msg.content.data.id;\n",
       "    // Get hold of the div created by the display call when the Comm\n",
       "    // socket was opened in Python.\n",
       "    var element = document.getElementById(id);\n",
       "    var ws_proxy = comm_websocket_adapter(comm);\n",
       "\n",
       "    function ondownload(figure, _format) {\n",
       "        window.open(figure.canvas.toDataURL());\n",
       "    }\n",
       "\n",
       "    var fig = new mpl.figure(id, ws_proxy, ondownload, element);\n",
       "\n",
       "    // Call onopen now - mpl needs it, as it is assuming we've passed it a real\n",
       "    // web socket which is closed, not our websocket->open comm proxy.\n",
       "    ws_proxy.onopen();\n",
       "\n",
       "    fig.parent_element = element;\n",
       "    fig.cell_info = mpl.find_output_cell(\"<div id='\" + id + \"'></div>\");\n",
       "    if (!fig.cell_info) {\n",
       "        console.error('Failed to find cell for figure', id, fig);\n",
       "        return;\n",
       "    }\n",
       "    fig.cell_info[0].output_area.element.on(\n",
       "        'cleared',\n",
       "        { fig: fig },\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_close = function (fig, msg) {\n",
       "    var width = fig.canvas.width / fig.ratio;\n",
       "    fig.cell_info[0].output_area.element.off(\n",
       "        'cleared',\n",
       "        fig._remove_fig_handler\n",
       "    );\n",
       "    fig.resizeObserverInstance.unobserve(fig.canvas_div);\n",
       "\n",
       "    // Update the output cell to use the data from the current canvas.\n",
       "    fig.push_to_output();\n",
       "    var dataURL = fig.canvas.toDataURL();\n",
       "    // Re-enable the keyboard manager in IPython - without this line, in FF,\n",
       "    // the notebook keyboard shortcuts fail.\n",
       "    IPython.keyboard_manager.enable();\n",
       "    fig.parent_element.innerHTML =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "    fig.close_ws(fig, msg);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.close_ws = function (fig, msg) {\n",
       "    fig.send_message('closing', msg);\n",
       "    // fig.ws.close()\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.push_to_output = function (_remove_interactive) {\n",
       "    // Turn the data on the canvas into data in the output cell.\n",
       "    var width = this.canvas.width / this.ratio;\n",
       "    var dataURL = this.canvas.toDataURL();\n",
       "    this.cell_info[1]['text/html'] =\n",
       "        '<img src=\"' + dataURL + '\" width=\"' + width + '\">';\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.updated_canvas_event = function () {\n",
       "    // Tell IPython that the notebook contents must change.\n",
       "    IPython.notebook.set_dirty(true);\n",
       "    this.send_message('ack', {});\n",
       "    var fig = this;\n",
       "    // Wait a second, then push the new image to the DOM so\n",
       "    // that it is saved nicely (might be nice to debounce this).\n",
       "    setTimeout(function () {\n",
       "        fig.push_to_output();\n",
       "    }, 1000);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._init_toolbar = function () {\n",
       "    var fig = this;\n",
       "\n",
       "    var toolbar = document.createElement('div');\n",
       "    toolbar.classList = 'btn-toolbar';\n",
       "    this.root.appendChild(toolbar);\n",
       "\n",
       "    function on_click_closure(name) {\n",
       "        return function (_event) {\n",
       "            return fig.toolbar_button_onclick(name);\n",
       "        };\n",
       "    }\n",
       "\n",
       "    function on_mouseover_closure(tooltip) {\n",
       "        return function (event) {\n",
       "            if (!event.currentTarget.disabled) {\n",
       "                return fig.toolbar_button_onmouseover(tooltip);\n",
       "            }\n",
       "        };\n",
       "    }\n",
       "\n",
       "    fig.buttons = {};\n",
       "    var buttonGroup = document.createElement('div');\n",
       "    buttonGroup.classList = 'btn-group';\n",
       "    var button;\n",
       "    for (var toolbar_ind in mpl.toolbar_items) {\n",
       "        var name = mpl.toolbar_items[toolbar_ind][0];\n",
       "        var tooltip = mpl.toolbar_items[toolbar_ind][1];\n",
       "        var image = mpl.toolbar_items[toolbar_ind][2];\n",
       "        var method_name = mpl.toolbar_items[toolbar_ind][3];\n",
       "\n",
       "        if (!name) {\n",
       "            /* Instead of a spacer, we start a new button group. */\n",
       "            if (buttonGroup.hasChildNodes()) {\n",
       "                toolbar.appendChild(buttonGroup);\n",
       "            }\n",
       "            buttonGroup = document.createElement('div');\n",
       "            buttonGroup.classList = 'btn-group';\n",
       "            continue;\n",
       "        }\n",
       "\n",
       "        button = fig.buttons[name] = document.createElement('button');\n",
       "        button.classList = 'btn btn-default';\n",
       "        button.href = '#';\n",
       "        button.title = name;\n",
       "        button.innerHTML = '<i class=\"fa ' + image + ' fa-lg\"></i>';\n",
       "        button.addEventListener('click', on_click_closure(method_name));\n",
       "        button.addEventListener('mouseover', on_mouseover_closure(tooltip));\n",
       "        buttonGroup.appendChild(button);\n",
       "    }\n",
       "\n",
       "    if (buttonGroup.hasChildNodes()) {\n",
       "        toolbar.appendChild(buttonGroup);\n",
       "    }\n",
       "\n",
       "    // Add the status bar.\n",
       "    var status_bar = document.createElement('span');\n",
       "    status_bar.classList = 'mpl-message pull-right';\n",
       "    toolbar.appendChild(status_bar);\n",
       "    this.message = status_bar;\n",
       "\n",
       "    // Add the close button to the window.\n",
       "    var buttongrp = document.createElement('div');\n",
       "    buttongrp.classList = 'btn-group inline pull-right';\n",
       "    button = document.createElement('button');\n",
       "    button.classList = 'btn btn-mini btn-primary';\n",
       "    button.href = '#';\n",
       "    button.title = 'Stop Interaction';\n",
       "    button.innerHTML = '<i class=\"fa fa-power-off icon-remove icon-large\"></i>';\n",
       "    button.addEventListener('click', function (_evt) {\n",
       "        fig.handle_close(fig, {});\n",
       "    });\n",
       "    button.addEventListener(\n",
       "        'mouseover',\n",
       "        on_mouseover_closure('Stop Interaction')\n",
       "    );\n",
       "    buttongrp.appendChild(button);\n",
       "    var titlebar = this.root.querySelector('.ui-dialog-titlebar');\n",
       "    titlebar.insertBefore(buttongrp, titlebar.firstChild);\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._remove_fig_handler = function (event) {\n",
       "    var fig = event.data.fig;\n",
       "    if (event.target !== this) {\n",
       "        // Ignore bubbled events from children.\n",
       "        return;\n",
       "    }\n",
       "    fig.close_ws(fig, {});\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._root_extra_style = function (el) {\n",
       "    el.style.boxSizing = 'content-box'; // override notebook setting of border-box.\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._canvas_extra_style = function (el) {\n",
       "    // this is important to make the div 'focusable\n",
       "    el.setAttribute('tabindex', 0);\n",
       "    // reach out to IPython and tell the keyboard manager to turn it's self\n",
       "    // off when our div gets focus\n",
       "\n",
       "    // location in version 3\n",
       "    if (IPython.notebook.keyboard_manager) {\n",
       "        IPython.notebook.keyboard_manager.register_events(el);\n",
       "    } else {\n",
       "        // location in version 2\n",
       "        IPython.keyboard_manager.register_events(el);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype._key_event_extra = function (event, _name) {\n",
       "    // Check for shift+enter\n",
       "    if (event.shiftKey && event.which === 13) {\n",
       "        this.canvas_div.blur();\n",
       "        // select the cell after this one\n",
       "        var index = IPython.notebook.find_cell_index(this.cell_info[0]);\n",
       "        IPython.notebook.select(index + 1);\n",
       "    }\n",
       "};\n",
       "\n",
       "mpl.figure.prototype.handle_save = function (fig, _msg) {\n",
       "    fig.ondownload(fig, null);\n",
       "};\n",
       "\n",
       "mpl.find_output_cell = function (html_output) {\n",
       "    // Return the cell and output element which can be found *uniquely* in the notebook.\n",
       "    // Note - this is a bit hacky, but it is done because the \"notebook_saving.Notebook\"\n",
       "    // IPython event is triggered only after the cells have been serialised, which for\n",
       "    // our purposes (turning an active figure into a static one), is too late.\n",
       "    var cells = IPython.notebook.get_cells();\n",
       "    var ncells = cells.length;\n",
       "    for (var i = 0; i < ncells; i++) {\n",
       "        var cell = cells[i];\n",
       "        if (cell.cell_type === 'code') {\n",
       "            for (var j = 0; j < cell.output_area.outputs.length; j++) {\n",
       "                var data = cell.output_area.outputs[j];\n",
       "                if (data.data) {\n",
       "                    // IPython >= 3 moved mimebundle to data attribute of output\n",
       "                    data = data.data;\n",
       "                }\n",
       "                if (data['text/html'] === html_output) {\n",
       "                    return [cell, data, j];\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    }\n",
       "};\n",
       "\n",
       "// Register the function which deals with the matplotlib target/channel.\n",
       "// The kernel may be null if the page has been refreshed.\n",
       "if (IPython.notebook.kernel !== null) {\n",
       "    IPython.notebook.kernel.comm_manager.register_target(\n",
       "        'matplotlib',\n",
       "        mpl.mpl_figure_comm\n",
       "    );\n",
       "}\n"
      ],
      "text/plain": [
       "<IPython.core.display.Javascript object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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\" width=\"600\">"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f90a4dece20>"
      ]
     },
     "execution_count": 468,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 5))\n",
    "plt.plot(t, sig, label='mesured')\n",
    "plt.plot(t0, sig0, label='truth')\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 469,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([-0.5286514 , -0.13477426, -0.22305378, -0.4462448 ,  0.13125113,\n",
       "       -0.30724633,  0.05665054, -0.14873517, -0.17969149, -0.13682734,\n",
       "       -0.3304568 , -0.53596328, -0.29824919, -0.22345297, -0.36689888,\n",
       "       -0.7855301 , -0.398397  , -0.36280527, -0.53651891, -0.99656773,\n",
       "       -0.98661964, -3.83040673, -2.70571077, 16.91148152])"
      ]
     },
     "execution_count": 469,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sig_fft = fftpack.rfft(sig)\n",
    "sig_fft"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 470,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Extraction des fréquenaces correspondantes\n",
    "freq = fftpack.rfftfreq(sig.size, d=time_step)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Représentation avec  *shift* des fréquences"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 471,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 472,
   "metadata": {},
   "outputs": [],
   "source": [
    "intensity_shifted = np.abs(sig_fft)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 473,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Peak freq=0.03333333333333333\n",
      "Peak period=30.0\n",
      "Max intensity index=22\n"
     ]
    }
   ],
   "source": [
    "pos_mask = np.where(freq > 0) # 0 is about constant\n",
    "intensity_masked = intensity_shifted[pos_mask]\n",
    "max_intensity_index = intensity_masked.argmax()\n",
    "freq_masked = freq[pos_mask]\n",
    "peak_freq = freq_masked[max_intensity_index]\n",
    "\n",
    "print(f\"Peak freq={peak_freq}\")\n",
    "print(f\"Peak period={1./peak_freq}\")\n",
    "print(f\"Max intensity index={max_intensity_index}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 474,
   "metadata": {},
   "outputs": [],
   "source": [
    "#plt.figure(figsize=(6, 5))\n",
    "#plt.plot(freq_shifted, intensity_shifted)\n",
    "#plt.xlabel('Frequency [Hz]')\n",
    "#plt.ylabel('Intensity')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}