Interval Tree Python Example pairing with Nick Synovic

Interval Tree Demo.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "aa343163",
   "metadata": {},
   "outputs": [],
   "source": [
    "import intervaltree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "cf4846c1",
   "metadata": {},
   "outputs": [],
   "source": [
    "from intervaltree import IntervalTree\n",
    "tree = IntervalTree()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2221fd77",
   "metadata": {},
   "outputs": [],
   "source": [
    "tree.addi(0, 4, \"Issue 1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "14ba1710",
   "metadata": {},
   "outputs": [],
   "source": [
    "tree.addi(2, 7, \"Issue 2\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2f082d95",
   "metadata": {},
   "outputs": [],
   "source": [
    "tree.addi(6, 8, \"Issue 3\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "fe70f39d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "IntervalTree([Interval(0, 4, 'Issue 1'), Interval(2, 7, 'Issue 2'), Interval(6, 8, 'Issue 3')])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tree"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1cfc0f44",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{Interval(0, 4, 'Issue 1')}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tree.overlap(0, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "78e2dd01",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "day 0, overlap {Interval(0, 4, 'Issue 1')}\n",
      "day 1, overlap {Interval(0, 4, 'Issue 1')}\n",
      "day 2, overlap {Interval(0, 4, 'Issue 1'), Interval(2, 7, 'Issue 2')}\n",
      "day 3, overlap {Interval(0, 4, 'Issue 1'), Interval(2, 7, 'Issue 2')}\n",
      "day 4, overlap {Interval(2, 7, 'Issue 2')}\n",
      "day 5, overlap {Interval(2, 7, 'Issue 2')}\n",
      "day 6, overlap {Interval(6, 8, 'Issue 3'), Interval(2, 7, 'Issue 2')}\n",
      "day 7, overlap {Interval(6, 8, 'Issue 3')}\n",
      "day 8, overlap set()\n",
      "day 9, overlap set()\n"
     ]
    }
   ],
   "source": [
    "for i in range(0, 10):\n",
    "    print(\"day %d, overlap %s\" % (i, tree.overlap(i, i+1)))\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "0b433848",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{Interval(0, 4, 'Issue 1'), Interval(2, 7, 'Issue 2')}"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tree.overlap(0, 4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3b4e4436",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{Interval(0, 4, 'Issue 1')}"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tree.at(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "7163e5b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{Interval(0, 4, 'Issue 1')}"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tree.at(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "b2cba4fc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{Interval(0, 4, 'Issue 1'), Interval(2, 7, 'Issue 2')}"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tree.at(2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "1969eb91",
   "metadata": {},
   "outputs": [],
   "source": [
    "tree.addi(3, 9, {})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "fa60b441",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{Interval(0, 4, 'Issue 1'), Interval(2, 7, 'Issue 2'), Interval(3, 9, {})}"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tree.at(3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "407685ad",
   "metadata": {},
   "outputs": [
    {
     "ename": "KeyError",
     "evalue": "30",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m                                  Traceback (most recent call last)",
      "\u001b[0;32m/tmp/ipykernel_1844694/817043336.py\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mOut\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;36m30\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mKeyError\u001b[0m: 30"
     ]
    }
   ],
   "source": [
    "type(Out[30])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "def99d8a",
   "metadata": {},
   "outputs": [],
   "source": [
    "for entry in tree.at(2):\n",
    "    print(entry.begin, entry.end, entry.data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "949b3b04",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "set()"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tree.at(9)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0aa6b446",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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