{
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      "source": [
        "\n\n# Shifting time-scale in evoked data\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "# Author: Mainak Jas <mainak@neuro.hut.fi>\n#\n# License: BSD-3-Clause\n# Copyright the MNE-Python contributors."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\n\nimport mne\nfrom mne.datasets import sample\n\nprint(__doc__)\n\ndata_path = sample.data_path()\nmeg_path = data_path / \"MEG\" / \"sample\"\nfname = meg_path / \"sample_audvis-ave.fif\"\n\n# Reading evoked data\ncondition = \"Left Auditory\"\nevoked = mne.read_evokeds(fname, condition=condition, baseline=(None, 0), proj=True)\n\npicks = [\"MEG 2332\"]\n\n# Create subplots\nf, (ax1, ax2, ax3) = plt.subplots(3)\nevoked.plot(\n    exclude=[],\n    picks=picks,\n    axes=ax1,\n    titles=dict(grad=\"Before time shifting\"),\n    time_unit=\"s\",\n)\n\n# Apply relative time-shift of 500 ms\nevoked.shift_time(0.5, relative=True)\n\nevoked.plot(\n    exclude=[],\n    picks=picks,\n    axes=ax2,\n    titles=dict(grad=\"Relative shift: 500 ms\"),\n    time_unit=\"s\",\n)\n\n# Apply absolute time-shift of 500 ms\nevoked.shift_time(0.5, relative=False)\n\nevoked.plot(\n    exclude=[],\n    picks=picks,\n    axes=ax3,\n    titles=dict(grad=\"Absolute shift: 500 ms\"),\n    time_unit=\"s\",\n)"
      ]
    }
  ],
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