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   "source": [
    "# Drag Coefficient of a Smooth Sphere\n",
    "\n",
    "This notebook plots the drag coefficient of a smooth sphere as a function of the Reynold's number for two different empirical correlations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "from pytrebuchet.drag_coefficient import clift_grace_weber, morrison\n",
    "\n",
    "# Calculate drag coefficient for a range of Reynold's numbers\n",
    "reynolds_morrison = np.logspace(-1, 6, 1000)  # morrison valid from 0.1 to 1e6\n",
    "reynolds_clift = np.logspace(-2, 8, 1200)\n",
    "drag_coeff_morrison = morrison(reynolds_morrison)\n",
    "drag_coeff_clift = clift_grace_weber(reynolds_clift)\n",
    "\n",
    "# Plotting, both axes logarithmic\n",
    "fig, ax = plt.subplots()\n",
    "ax.loglog(reynolds_morrison, drag_coeff_morrison, label=\"Morrison\")\n",
    "ax.loglog(reynolds_clift, drag_coeff_clift, label=\"Clift, Grace, Weber\")\n",
    "ax.set_xlabel(\"Reynolds Number\")\n",
    "ax.set_ylabel(\"Drag Coefficient (Cd)\")\n",
    "ax.set_title(\"Drag Coefficient vs Reynolds Number\")\n",
    "ax.grid(True, which=\"both\", ls=\"--\")\n",
    "ax.legend()\n",
    "plt.show()"
   ]
  }
 ],
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