fatiando/rockhound

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        "%matplotlib inline"
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      "source": [
        "\nPREM: Preliminary Reference Earth Model\n=======================================\n\nThe Preliminary reference Earth model (PREM) [Dziewonsky1981]_ is\na one-dimensional model representing the average Earth properties as a function\nof planetary radius.  The model includes the depth, density, seismic\nvelocities, attenuation (Q) and anisotropic parameter ($\\eta$) on the\nboundaries of several Earth layers. The data is loaded into\n:class:`pandas.DataFrame` objects, which can be used to plot and make\ncomputations.\n"
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      "source": [
        "import rockhound as rh\nimport matplotlib.pyplot as plt\n\n# Load PREM into a DataFrame\nprem = rh.fetch_prem()\nprint(prem)\n\n# Plot density and velocities\nfig, axes = plt.subplots(1, 2, figsize=(9, 5), sharey=True)\nfig.suptitle(\"PREM: Preliminary Reference Earth Model\")\nax = axes[0]\nprem.plot(\"density\", \"depth\", legend=False, ax=ax)\nax.invert_yaxis()\nax.set_xlabel(\"Density [g/cm\u00b3]\")\nax.set_ylabel(\"Depth [km]\")\nax.grid()\nax = axes[1]\nfor velocity in [\"Vpv\", \"Vph\", \"Vsv\", \"Vsh\"]:\n    prem.plot(velocity, \"depth\", legend=False, ax=ax, label=velocity)\nax.grid()\nax.legend()\nax.set_xlabel(\"Velocity [km/s]\")\nplt.show()"
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