exercicios_da_aula_6.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "exercicios_da_aula_6.ipynb",
      "provenance": [],
      "authorship_tag": "ABX9TyM1N9xkGUo08xmRnlf1ztp1",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/VGozzi/Intro_Python/blob/main/exercicios_da_aula_6.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "xwpOJ50SEWkO"
      },
      "source": [
        "\n",
        "questão 1 : https://trinket.io/turtle/38106fe1bf"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 533
        },
        "id": "O21wC8jUEXt9",
        "outputId": "7846559b-5b25-4266-b4a9-90647e437763"
      },
      "source": [
        "## questão 3 :\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "n = int(input(\"numero total de dados: \"))\n",
        "print(\"coloque os dados em ordem crescente abaixo: \")\n",
        "dados = [input() for i in range(n)]\n",
        "\n",
        "cor = input(\"escolha a cor do histograma:\")\n",
        "classe_frequencia =int(input(\"escolha a classe de frequencia:\"))\n",
        "\n",
        "plt.hist(dados,color=cor,bins=classe_frequencia)\n",
        "\n",
        "plt.xlabel(\"Valores\")\n",
        "plt.ylabel(\"Frequência absoluta\")\n",
        "plt.title(\"Histograma\")\n",
        "plt.show()"
      ],
      "execution_count": 3,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "numero total de dados: 10\n",
            "coloque os dados em ordem crescente abaixo: \n",
            "1\n",
            "1\n",
            "1\n",
            "1\n",
            "2\n",
            "2\n",
            "2\n",
            "3\n",
            "3\n",
            "4\n",
            "escolha a cor do histograma:red\n",
            "escolha a classe de frequencia:4\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    }
  ]
}