estudos1.ipynb

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      "mount_file_id": "https://github.com/igordantasgf/analise_dados_microambientais/blob/main/estudos1.ipynb",
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      "name": "python3",
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      "name": "python"
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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/igordantasgf/analise_dados_microambientais/blob/main/estudos1.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "metadata": {
        "id": "89oincaBXoiQ"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "from datetime import timedelta\n",
        "import datetime\n",
        "import numpy as np\n",
        "import seaborn\n",
        "import math"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "id": "Fweo650zVygl",
        "outputId": "997c9737-576d-40a6-86cd-816b042eb6c0",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data_path = '/content/drive/MyDrive/Bolsa - Edson/estudos/Pasta sem nome/labmim_completo_2016_2022.dat'\n",
        "frame = pd.read_csv(data_path, sep=';')\n",
        "tempo = list(zip(frame['year'],frame['month'],frame['day'],frame['hour']))\n",
        "print(frame.columns)\n",
        "frame"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 528
        },
        "id": "PRm-BZs5YODQ",
        "outputId": "6ec1e79c-d319-491f-9576-c4a1de668c42"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Index(['year', 'month', 'day', 'hour', 'T', 'Td', 'ur', 'pressure', 'WD', 'WS',\n",
            "       'u', 'v', 'precip', 'Sw_dw', 'Sw_up', 'Lw_dw', 'Lw_up', 'Sw_dif',\n",
            "       'Sw_par', 'RH_WXT', 'Temp_WXT', 'Net_CNR1', 'Net_NRLite', 'PSP_Wm2_Avg',\n",
            "       'oc_topo', 'decl_rad', 'elev_solar', 'ang_hor', 'ang_zen',\n",
            "       'ang_hor_por', 'nascer_h', 'por_h', 'ast_h', 'fc'],\n",
            "      dtype='object')\n"
          ]
        },
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          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       year  month  day  hour        T  Td       ur   pressure        WD  \\\n",
              "0      2016      9   29    14  27.1200 NaN  71.6480        NaN  132.9910   \n",
              "1      2016      9   29    15  26.9380 NaN  73.6650        NaN  149.7170   \n",
              "2      2016      9   29    16  26.6870 NaN  74.6230        NaN  106.4130   \n",
              "3      2016      9   29    17  26.4570 NaN  75.1850        NaN   86.3810   \n",
              "4      2016      9   29    18  25.7780 NaN  78.8070        NaN   98.0980   \n",
              "...     ...    ...  ...   ...      ...  ..      ...        ...       ...   \n",
              "52060  2022      9   14    13  25.7575 NaN  81.5167  1010.8750  154.3924   \n",
              "52061  2022      9   14    14  26.2083 NaN  79.6867  1009.8583  169.6669   \n",
              "52062  2022      9   14    15  26.8508 NaN  76.0992  1009.3667  146.8076   \n",
              "52063  2022      9   14    16  27.7925 NaN  71.8633  1009.2000  152.0525   \n",
              "52064  2022      9   14    17      NaN NaN      NaN        NaN       NaN   \n",
              "\n",
              "           WS  ...   oc_topo  decl_rad  elev_solar  ang_hor  ang_zen  \\\n",
              "0      2.0290  ...  1045.315    -0.047       0.874    0.681    0.696   \n",
              "1      1.8150  ...   794.240    -0.047       0.622    0.942    0.949   \n",
              "2      1.6430  ...   489.998    -0.048       0.368    1.204    1.203   \n",
              "3      1.2050  ...   153.340    -0.048       0.113    1.466    1.458   \n",
              "4      1.2480  ...     0.000    -0.048      -0.142    1.728    1.713   \n",
              "...       ...  ...       ...       ...         ...      ...      ...   \n",
              "52060  2.7922  ...  1194.472     0.061       1.086    0.393    0.485   \n",
              "52061  2.9262  ...  1023.041     0.061       0.860    0.655    0.711   \n",
              "52062  2.6029  ...   780.574     0.061       0.616    0.917    0.954   \n",
              "52063  1.2569  ...   483.602     0.061       0.366    1.179    1.205   \n",
              "52064     NaN  ...   152.378     0.060       0.113    1.440    1.458   \n",
              "\n",
              "       ang_hor_por  nascer_h   por_h   ast_h     fc  \n",
              "0           -6.042     5.958  18.042  14.599  1.191  \n",
              "1           -6.042     5.958  18.042  15.600  1.191  \n",
              "2           -6.042     5.958  18.042  16.600  1.191  \n",
              "3           -6.042     5.958  18.042  17.600  1.191  \n",
              "4           -6.043     5.957  18.043  18.600  1.191  \n",
              "...            ...       ...     ...     ...    ...  \n",
              "52060       -5.946     6.054  17.946  13.501  1.171  \n",
              "52061       -5.946     6.054  17.946  14.501  1.171  \n",
              "52062       -5.946     6.054  17.946  15.502  1.171  \n",
              "52063       -5.947     6.053  17.947  16.502  1.171  \n",
              "52064       -5.947     6.053  17.947  17.502  1.172  \n",
              "\n",
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              "      <th>year</th>\n",
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              "      <td>1.204</td>\n",
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              "      <td>5.958</td>\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-98055f19-08d7-4706-84f4-de0309eff8b1 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-98055f19-08d7-4706-84f4-de0309eff8b1');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
              "          const docLink = document.createElement('div');\n",
              "          docLink.innerHTML = docLinkHtml;\n",
              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Formatação de datas\n",
        "datas=[]\n",
        "for i in tempo:\n",
        "  i = list(i)\n",
        "  datas.append(datetime.datetime(i[0],i[1],i[2],i[3]))\n",
        "frame['datas'] = datas"
      ],
      "metadata": {
        "id": "TLuJj3aNGxie"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# coluna na base de dados com Saldo Radioativo\n",
        "frame['Rn'] = [sum(i) for i in list(zip(frame['Sw_dw'],-frame['Sw_up'],frame['Lw_dw'],-frame['Lw_up']))]"
      ],
      "metadata": {
        "id": "DCCX2o27olZl"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown Série temporal completa\n",
        "\n",
        "fig, ax = plt.subplots(1,1,figsize=(15, 6))\n",
        "ax.plot_date(frame['datas'], frame['Sw_dw'], c='#E03528', ls='-', lw=5, markersize=1, label='Sw_dw')\n",
        "ax.plot_date(frame['datas'], frame['Sw_dif'], c='#F67280', ls='-', lw=5, markersize=1, label='Sw_dif')\n",
        "ax.plot_date(frame['datas'], -frame['Sw_up'], c='#E0AE33', ls='-', lw=5, markersize=1, label='Sw_up')\n",
        "ax.plot_date(frame['datas'], frame['Lw_dw'], c='lightblue', ls='-', lw=5, markersize=1, label='Lw_dw')\n",
        "ax.plot_date(frame['datas'], -frame['Lw_up'], c='#2251E0', ls='-', lw=5, markersize=1, label='Lw_up')\n",
        "plt.legend(title='Série temporal completa')\n",
        "fig.autofmt_xdate()\n",
        "ax.set_xlim([datetime.datetime(2019, 2, 27, 0, 0), datetime.datetime(2022, 12, 31, 0, 0)])\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 361
        },
        "id": "Ht6Jt1N_bFr_",
        "outputId": "69485c57-b289-47fd-c727-a37a8b2a4af9",
        "cellView": "form"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown Análise de ondas ao longo do ano em dois períodos e saldo de radiação\n",
        "\n",
        "fig, ax = plt.subplots(1,2,figsize=(15, 5))\n",
        "\n",
        "# Analíse de Verão-Outono 2021\n",
        "ax[0].set_title(\"Analíse de Verão-Outono 2021\")\n",
        "ax[0].plot_date(frame['datas'], frame['Sw_dw'], c='#E03528', ls='-', lw=5, markersize=1, label='Sw_dw')\n",
        "ax[0].plot_date(frame['datas'], frame['Sw_dif'], c='#F67280', ls='-', lw=5, markersize=1, label='Sw_dif')\n",
        "ax[0].plot_date(frame['datas'], -frame['Sw_up'], c='#E0AE33', ls='-', lw=5, markersize=1, label='Sw_up')\n",
        "ax[0].plot_date(frame['datas'], frame['Lw_dw'], c='lightblue', ls='-', lw=5, markersize=1, label='Lw_dw')\n",
        "ax[0].plot_date(frame['datas'], -frame['Lw_up'], c='#2251E0', ls='-', lw=5, markersize=1, label='Lw_up')\n",
        "fig.autofmt_xdate()\n",
        "ax[0].set_xlim([datetime.datetime(2020, 12, 21, 0, 0), datetime.datetime(2021, 6, 21, 0, 0)])\n",
        "\n",
        "# Analíse de Inverno-Primavera 2021\n",
        "ax[1].set_title(\"Analíse de Inverno-Primavera 2021\")\n",
        "ax[1].plot_date(frame['datas'], frame['Sw_dw'], c='#E03528', ls='-', lw=5, markersize=1, label='Sw_dw')\n",
        "ax[1].plot_date(frame['datas'], frame['Sw_dif'], c='#F67280', ls='-', lw=5, markersize=1, label='Sw_dif')\n",
        "ax[1].plot_date(frame['datas'], -frame['Sw_up'], c='#E0AE33', ls='-', lw=5, markersize=1, label='Sw_up')\n",
        "ax[1].plot_date(frame['datas'], frame['Lw_dw'], c='lightblue', ls='-', lw=5, markersize=1, label='Lw_dw')\n",
        "ax[1].plot_date(frame['datas'], -frame['Lw_up'], c='#2251E0', ls='-', lw=5, markersize=1, label='Lw_up')\n",
        "\n",
        "plt.legend()\n",
        "fig.autofmt_xdate()\n",
        "ax[1].set_xlim([datetime.datetime(2021, 6, 21, 0, 0), datetime.datetime(2021, 12, 21, 0, 0)])\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 328
        },
        "id": "4QpoozjfcGRj",
        "outputId": "25473ace-a1f6-4fb7-f28d-900c6e6dfe88",
        "cellView": "form"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x360 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Climatologia\n",
        "## Boxplot de médias mensais\n",
        "### Calcular médias mensais para cada ano\n",
        "* SW_dw \n",
        "* SW_up \n",
        "* SW_df \n",
        "* SW_top (gráfico de linha) \n",
        "* Lw_dw \n",
        "* Lw_up"
      ],
      "metadata": {
        "id": "xtdHEZmB_ONF"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "frame['year/month'] = list(zip(frame['datas'].dt.year, frame['datas'].dt.month))"
      ],
      "metadata": {
        "id": "kL2Gmg59985J"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ano_mes_frame = frame.groupby('year/month')\n",
        "\n",
        "lista_YM_dados = []\n",
        "for group in ano_mes_frame:\n",
        "  lista_YM_dados.append(group)\n",
        "\n",
        "# Criar função nesse trecho VVV\n",
        "\n",
        "listas_Ym_Swdw = []\n",
        "listas_Ym_Swdw_datas = []\n",
        "for i in list(lista_YM_dados):\n",
        "  i[1].dropna()\n",
        "  if i[0][0] in [2016,2017,2018,2019]:\n",
        "    if i[0][0] == 2019 and i[0][1] > 2:\n",
        "\n",
        "      listas_Ym_Swdw.append(i[1]['Sw_up'])\n",
        "      listas_Ym_Swdw_datas.append(list(i[0]))\n",
        "\n",
        "    continue\n",
        "  listas_Ym_Swdw.append(i[1]['Sw_up'])\n",
        "  listas_Ym_Swdw_datas.append(list(i[0]))\n",
        "\n",
        "\n",
        "  lista_final = list(zip(listas_Ym_Swdw,listas_Ym_Swdw_datas))\n",
        "# ^^^^^^\n"
      ],
      "metadata": {
        "id": "XPiR9xir-t22"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "ts = pd.Series(listas_Ym_Swdw_datas)"
      ],
      "metadata": {
        "id": "nZCoFbbF6zgl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "fig, ax = plt.subplots(figsize=(20,5))\n",
        "seaborn.boxplot(data=listas_Ym_Swdw, orient='v')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 337
        },
        "id": "FwPXLWwkk-Zu",
        "outputId": "02ccc24c-3c82-4e67-9dbe-af5bfff8f514"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7fafa5e00590>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x360 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Observação:\n",
        "* As medianas encontram-se muito próximas e prejudica a objtenção de informação\n",
        "* Criou-se um novo código e gráfico para representar melhor os valores, calculando o valor acumulado (sum) de certas variáveis, evitando a tendencia a zero"
      ],
      "metadata": {
        "id": "xrd3Ock24ATp"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Novo plot \n",
        "## Médias mensais diárias\n",
        "---\n",
        "## **Filtrar dados:** agrupar em mes/ano/hora com valor acumulado"
      ],
      "metadata": {
        "id": "IRu354xXxjCZ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "frame['day_sum'] = list(zip(frame['datas'].dt.year, frame['datas'].dt.month, frame['datas'].dt.hour))\n",
        "daysum = frame.groupby('day_sum').sum()"
      ],
      "metadata": {
        "id": "Dgrcjsc1xscB"
      },
      "execution_count": 8,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "daysum = pd.DataFrame(daysum, columns=['Sw_dw','Sw_up','Sw_dif','Lw_dw','Lw_up','precip'])"
      ],
      "metadata": {
        "id": "LnxGjT6Ezh6i"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#daysum.tail(40)"
      ],
      "metadata": {
        "id": "g2iemS8y7yJs"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Próximo filtro:** Média diária mensal"
      ],
      "metadata": {
        "id": "nzY1x4--2b6s"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "mesano=[]\n",
        "for i in daysum.index:\n",
        "  mesano.append((i[0],i[1]))\n",
        "daysum['ano/mes'] = mesano"
      ],
      "metadata": {
        "id": "2LSlQ6Oo-Rte"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "monthmean = daysum.groupby('ano/mes').mean()\n",
        "months = daysum.groupby('ano/mes')"
      ],
      "metadata": {
        "id": "EeLPrrbr97YI"
      },
      "execution_count": 12,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "monthmean = pd.DataFrame(monthmean)\n",
        "#monthmean"
      ],
      "metadata": {
        "id": "S-noqiHW_YRB"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## **Próximo filtro:** Méida diária mensal para anos diferentes"
      ],
      "metadata": {
        "id": "JY8goeUBWUcf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "anos=[]\n",
        "mes=[]\n",
        "for i in monthmean.index:\n",
        "  anos.append(i[0])\n",
        "  mes.append(i[1])\n",
        "monthmean['anos'] = anos\n",
        "monthmean['meses'] = mes"
      ],
      "metadata": {
        "id": "SICjxdelX_yX"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "* Agrupamento dos dados em anos diferentes, criando blocos para cada ano com a média mensal de todos meses desse mesmo ano"
      ],
      "metadata": {
        "id": "Js1XrNLdaRXO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "dados_anos=[]\n",
        "anos = monthmean.groupby('anos')\n",
        "for group in anos:\n",
        "  dados_anos.append(group)"
      ],
      "metadata": {
        "id": "oPUsXaYgeZ29"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "* Plotting dos dados mensais para cada ano"
      ],
      "metadata": {
        "id": "wYgYdQkwcBUB"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "month_group = []\n",
        "for group in months:\n",
        "  month_group.append(group)"
      ],
      "metadata": {
        "id": "SsiwYbO_e3hN"
      },
      "execution_count": 45,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Boxplot\n",
        "#@markdown * Valores acumulados diariamente\n",
        "#@markdown * Parâmetro = precipitação\n",
        "\n",
        "fig, ax = plt.subplots(7,1, figsize=(30,20))\n",
        "\n",
        "parametro='precip'\n",
        "ano = 2016 \n",
        "j=0\n",
        "lista=[]\n",
        "for i in month_group:\n",
        "\n",
        "  if i[0][0]!=ano:\n",
        "    ax[j].boxplot(lista, showmeans=True)\n",
        "    ax[j].legend(title='Ano : {}'.format(ano))\n",
        "    ano = i[0][0]\n",
        "    print('agora é', ano)\n",
        "    j=j+1\n",
        "    lista=[]\n",
        "  lista.append(list(i[1][parametro]))\n",
        "\n",
        "ax[j].boxplot(lista, showmeans=True)\n",
        "ax[j].legend(title='Ano : {}'.format(ano))\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "tQFOeh_QcFoo",
        "outputId": "709f87ee-5f6c-41b2-dd29-9a169ffe73f7",
        "cellView": "form"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n",
            "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n",
            "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n",
            "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "agora é 2017\n",
            "agora é 2018\n",
            "agora é 2019\n",
            "agora é 2020\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n",
            "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n",
            "WARNING:matplotlib.legend:No handles with labels found to put in legend.\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "agora é 2021\n",
            "agora é 2022\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2160x1440 with 7 Axes>"
            ],
            "image/png": 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