Untitled.ipynb

Untitled.ipynb

{
  "cells": [
    {
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        "ExecuteTime": {
          "start_time": "2022-07-11T11:18:44.754760Z",
          "end_time": "2022-07-11T11:18:53.812556Z"
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      },
      "cell_type": "code",
      "source": "import numpy as np\nimport pandas as pd",
      "execution_count": 2,
      "outputs": []
    },
    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2022-07-11T11:18:54.590882Z",
          "end_time": "2022-07-11T11:18:54.687139Z"
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      "cell_type": "code",
      "source": "MaxD=3\nnbetat=0\nD1=np.arange(0,MaxD+1,1)\nD2=np.arange(0,MaxD+1,1)\nCorrespEtat = pd.DataFrame()\nfor d1 in D1:\n    for d2 in D2:\n        nbetat=nbetat+1\n        CorrespEtat.loc[d1+1,d2+1]=nbetat\nprint(CorrespEtat)  ",
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "text": "      1     2     3     4\n1   1.0   2.0   3.0   4.0\n2   5.0   6.0   7.0   8.0\n3   9.0  10.0  11.0  12.0\n4  13.0  14.0  15.0  16.0\n",
          "name": "stdout"
        }
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          "end_time": "2022-07-11T11:19:20.920978Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "# Mai visto. Non sabbebo che si podeva fare cosi\nprint(CorrespEtat[1][2])",
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "text": "5.0\n",
          "name": "stdout"
        }
      ]
    },
    {
      "metadata": {
        "ExecuteTime": {
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      },
      "cell_type": "code",
      "source": "CorrespEtat.loc[1,2]",
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          "execution_count": 5,
          "data": {
            "text/plain": "2.0"
          },
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        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "CorrespEtat.loc[2,1]",
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 6,
          "data": {
            "text/plain": "5.0"
          },
          "metadata": {}
        }
      ]
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    {
      "metadata": {
        "ExecuteTime": {
          "start_time": "2022-07-11T11:20:30.723617Z",
          "end_time": "2022-07-11T11:20:30.767501Z"
        },
        "trusted": true
      },
      "cell_type": "code",
      "source": "CorrespEtat.loc[4,2]",
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "execute_result",
          "execution_count": 7,
          "data": {
            "text/plain": "14.0"
          },
          "metadata": {}
        }
      ]
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      "metadata": {
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      "cell_type": "code",
      "source": "",
      "execution_count": null,
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