{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%gui qt"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Spectrogram and Line Plot\n\nA spectrogram and waveform plot of 1D data.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\n\nfrom vispy import plot as vp\n\n# Create a logarithmic chirp\nfs = 1000.\nN = 10000\nt = np.arange(N) / float(fs)\nf0, f1 = 1., 500.\nphase = (t[-1] / np.log(f1 / f0)) * f0 * (pow(f1 / f0, t / t[-1]) - 1.0)\ndata = np.cos(2 * np.pi * phase)\n\nfig = vp.Fig(size=(800, 400), show=False)\nfig[0:2, 0].spectrogram(data, fs=fs, clim=(-100, -20))\nfig[2, 0].plot(np.array((t, data)).T, marker_size=0)\n\nif __name__ == '__main__':\n    fig.show(run=True)"
      ]
    }
  ],
  "metadata": {
    "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": "3.9.19"
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  "nbformat_minor": 0
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