{
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    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "\n# Plotting OMNI Data\n\nImporting and plotting data from OMNI dataset.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import heliopy.data.omni as omni\nimport matplotlib.pyplot as plt\nfrom datetime import datetime\n\nstarttime = datetime(1970, 1, 1)\nendtime = datetime(1970, 2, 28)\n\nomni_data = omni.h0_mrg1hr(starttime, endtime)\n\nfig, axs = plt.subplots(3, 1, sharex=True)\naxs[0].step(omni_data.index, omni_data.quantity('BX_GSE'), where='post', label='BX GSE')\naxs[1].step(omni_data.index, omni_data.quantity('BY_GSE'), where='post', label='BY GSE')\naxs[1].step(omni_data.index, omni_data.quantity('BZ_GSE'), where='post', label='BZ GSE')\naxs[2].step(omni_data.index, omni_data.quantity('BY_GSM'), where='post', label='BY GSM')\naxs[2].step(omni_data.index, omni_data.quantity('BZ_GSM'), where='post', label='BZ GSM')\n\nfor ax in axs:\n    ax.legend()\nplt.show()"
      ]
    }
  ],
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