coordination.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Counts: 3 5 11 6 10 6\n",
      "Total Count: 41\n",
      "Fractions: 10: 0.07 11: 0.12 12: 0.27 13: 0.15 14: 0.24 15: 0.15\n"
     ]
    }
   ],
   "source": [
    "from cifkit import CifEnsemble\n",
    "\n",
    "# ensemble = CifEnsemble(\"tests/data/coordination\", add_nested_files=True)\n",
    "# print(ensemble.unique_CN_values_by_method_methods_stat)\n",
    "CN_result = {10: 3, 12: 11, 13: 6, 14: 10, 16: 6, 17: 4, 7: 2, 11: 5, 15: 6, 6: 2, 8: 3, 18: 1, 9: 3}\n",
    "\n",
    "# Specify the range of CN indices we are interested in\n",
    "cn_indices = range(10, 16)  # From CN_10 to CN_15\n",
    "\n",
    "# Retrieve counts for the specified range and compute the total\n",
    "cn_counts = {cn: CN_result.get(cn, 0) for cn in cn_indices}\n",
    "total_CN10_to_15_file_count = sum(cn_counts.values())\n",
    "\n",
    "# Print the individual counts\n",
    "print(\"Counts:\",*[cn_counts[cn] for cn in cn_indices])\n",
    "print(\"Total Count:\", total_CN10_to_15_file_count)\n",
    "cn_fractions = {cn: count / total_CN10_to_15_file_count for cn, count in cn_counts.items()}\n",
    "print(\"Fractions:\",*[f\"{cn}: {cn_fractions[cn]:.2f}\" for cn in cn_indices])\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-2.0, 2.0, -2.0, 2.0)"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x1050 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import random\n",
    "import matplotlib.pyplot as plt\n",
    "from core.system import hexagon \n",
    "\n",
    "center_pt = (0, 0)\n",
    "# Generate five random numbers\n",
    "random_numbers = [random.random() for _ in range(5)]\n",
    "\n",
    "# Calculate their total sum\n",
    "total_sum = sum(random_numbers)\n",
    "\n",
    "# Normalize these numbers so that their sum is 1\n",
    "bond_fractions = [num / total_sum for num in random_numbers]\n",
    "\n",
    "# Add a sixth element to make the total sum exactly 1\n",
    "bond_fractions.append(1 - sum(bond_fractions))\n",
    "\n",
    "# Shuffle to randomize the position of the elements\n",
    "random.shuffle(bond_fractions)\n",
    "\n",
    "# Formula/structure label\n",
    "bond_pairs = [\"10\", \"11\", \"12\", \"13\", \"14\", \"15\"]\n",
    "fig, ax = plt.subplots(figsize=(3, 3.5), dpi=300)\n",
    "\n",
    "# Individual hexagon (modified)\n",
    "radius = 1\n",
    "radius_padding = 0.2\n",
    "label_offset = 0.3\n",
    "bond_label_font_size = 16\n",
    "outer_line_width = 2\n",
    "color_line_width = 6\n",
    "inner_line_width = 1\n",
    "core_dot_radius = 55\n",
    "label_radius = radius + label_offset\n",
    "\n",
    "# Get the points for label positioning using the increased radius\n",
    "x_label_pts, y_label_pts = hexagon.get_hexagon_points(center_pt, label_radius)\n",
    "\n",
    "# Find minimum and maximum for both x and y from the hexagon points\n",
    "x_min, x_max = min(x_label_pts), max(x_label_pts)\n",
    "y_min, y_max = min(y_label_pts), max(y_label_pts)\n",
    "\n",
    "ax.set_xlim(x_min - radius_padding, x_max + radius_padding)\n",
    "ax.set_ylim(y_min - radius_padding, y_max + radius_padding)\n",
    "\n",
    "for i, (x, y, label) in enumerate(zip(x_label_pts, y_label_pts, bond_pairs)):\n",
    "    plt.text(\n",
    "        x,\n",
    "        y,\n",
    "        label,\n",
    "        fontsize=bond_label_font_size,  # Adjust fontsize as needed\n",
    "        ha=\"center\",  # Horizontal alignment\n",
    "        va=\"center\",  # Vertical alignment\n",
    "    )\n",
    "            \n",
    "hexagon.draw_single_hexagon_and_lines_per_center_point(\n",
    "    center_pt,\n",
    "    bond_fractions,\n",
    "    radius=radius,\n",
    "    hex_inner_color=\"#D3D3D3\",\n",
    "    hex_outer_color=\"black\",\n",
    "    hex_inner_line_width=inner_line_width,\n",
    "    hex_outer_line_width=outer_line_width,\n",
    "    color_line_width=color_line_width,\n",
    "    is_for_individual_hexagon=True,\n",
    ")\n",
    "folder_name = \"coordination\"\n",
    "plt.title(f\"Folder name: {folder_name}\\nFile count: {total_CN10_to_15_file_count}\")\n",
    "plt.xlim(-2, 2)\n",
    "plt.ylim(-2, 2)\n",
    "plt.scatter(0, 0, color=\"black\", s=core_dot_radius, zorder=5)\n",
    "plt.gca().set_aspect('equal', adjustable='box')\n",
    "plt.axis(\"off\")\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "cifkit-test",
   "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": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}