Simulate a Weighted Probability of Numbers Given Known Weights

Simulate a Weighted Probability of Numbers Given Known Weights.ipynb

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        "[5,2,6,8]\n",
        "\n",
        "#returning a number from this list with some prob\n",
        "\n",
        "if prob(5) = 0.2, then if I draw 1000 numbers from this list on average, I will pick the '5' 200 times.\n",
        "\n",
        "prob(5) = 5/(5+2+6+8), There fore the number is the weight"
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        "prob_5 = 5/(5+2+6+8)\n",
        "\n",
        "prob_2 = 2/(5+2+6+8)\n",
        "\n",
        "prob_6 = 6/(5+2+6+8)\n",
        "\n",
        "prob_8 = 8/(5+2+6+8)"
      ]
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        "# Calc Cum DF\n",
        "\n",
        "cum_prob_5 = prob_5\n",
        "\n",
        "cum_prob_2 = prob_2 + prob_5\n",
        "\n",
        "cum_prob_6 = prob_6 + prob_2 + prob_5\n",
        "\n",
        "cum_prob_8 = prob_8 + prob_6 + prob_2 + prob_5"
      ]
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            "0.23809523809523808 0.3333333333333333 0.6190476190476191 1.0\n"
          ]
        }
      ],
      "source": [
        "print(cum_prob_5, cum_prob_2, cum_prob_6,cum_prob_8)"
      ]
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      "source": [
        "from scipy import stats\n",
        "\n",
        "stats.uniform.rvs()"
      ]
    },
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        "ht = []\n",
        "\n",
        "for i in range(100):\n",
        "    u=stats.uniform.rvs()\n",
        "    if u < 0.238095:\n",
        "        ht.append('5')\n",
        "    elif u < 0.33333:\n",
        "        ht.append('2')\n",
        "    elif u < 0.61904:\n",
        "        ht.append('6')\n",
        "    else:\n",
        "        ht.append('8')"
      ]
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      "source": [
        "ht_5s = ht.count('5')\n",
        "ht_2s = ht.count('2')\n",
        "ht_6s = ht.count('6')\n",
        "ht_8s = ht.count('8')\n",
        "\n",
        "ht_5s"
      ]
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      "source": [
        "ht_5s/100"
      ]
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