{
 "cells": [
  {
   "metadata": {
    "trusted": true
   },
   "cell_type": "code",
   "source": "# Build the distance matrix\nM = np.empty((len(player_distributions), \n              len(player_distributions)))\nfor i, pl1 in enumerate(player_distributions):\n    for j, pl2 in enumerate(player_distributions):\n        M[i, j] = wasserstein(player_distributions[pl1], \n                              player_distributions[pl2])\n# Upper diagonal\nupper_M = M[np.triu_indices(len(player_distributions), k = 1)]",
   "execution_count": null,
   "outputs": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "name": "python3",
   "display_name": "Python 3",
   "language": "python"
  },
  "language_info": {
   "name": "python",
   "version": "3.6.3",
   "mimetype": "text/x-python",
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "pygments_lexer": "ipython3",
   "nbconvert_exporter": "python",
   "file_extension": ".py"
  },
  "toc": {
   "nav_menu": {},
   "number_sections": true,
   "sideBar": true,
   "skip_h1_title": false,
   "toc_cell": false,
   "toc_position": {
    "height": "483.41033935546875px",
    "left": "0px",
    "right": "1362px",
    "top": "109.57880401611328px",
    "width": "119.0081558227539px"
   },
   "toc_section_display": "block",
   "toc_window_display": true
  },
  "varInspector": {
   "cols": {
    "lenName": 16,
    "lenType": 16,
    "lenVar": 40
   },
   "kernels_config": {
    "python": {
     "delete_cmd_postfix": "",
     "delete_cmd_prefix": "del ",
     "library": "var_list.py",
     "varRefreshCmd": "print(var_dic_list())"
    },
    "r": {
     "delete_cmd_postfix": ") ",
     "delete_cmd_prefix": "rm(",
     "library": "var_list.r",
     "varRefreshCmd": "cat(var_dic_list()) "
    }
   },
   "types_to_exclude": [
    "module",
    "function",
    "builtin_function_or_method",
    "instance",
    "_Feature"
   ],
   "window_display": false
  },
  "gist_id": "c2d9b00b44ca7ecbb320bc7fb138ee08"
 },
 "nbformat": 4,
 "nbformat_minor": 4
}