Untitled6.ipynb

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        "<a href=\"https://colab.research.google.com/github/laonrd0/acp_2023-2/blob/main/Untitled6.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "#Importar  libreria google drive\n",
        "from google.colab import drive\n",
        "\n",
        "#crear punto de montaje\n",
        "drive.mount('/content/drive')\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#posisionarnos en el directorio de trabajo en nuestro drive google\n",
        "%cd /content/drive/My\\ Drive/"
      ],
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        "id": "c2X4jsX5Bokr",
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      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "/content/drive/My Drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#comprobar acceso a archivo .txt\n",
        "!head meteo_data.txt"
      ],
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          "text": [
            "FECHA    DIA Al04TMax Al04TMin Al04TMed Al04Precip \r\n",
            "-------- --- -------- -------- -------- ---------- \r\n",
            "13-12-16 348     14.6      4.0      8.9        0.2 \r\n",
            "12-12-16 347     15.9      3.0      8.7        0.2 \r\n",
            "11-12-16 346     16.9      5.0     10.2        0.2 \r\n",
            "10-12-16 345     16.4      6.3     10.9        0.2 \r\n",
            "09-12-16 344     13.6      9.5     11.2        1.8 \r\n",
            "08-12-16 343     14.5      5.4     10.4        0.0 \r\n",
            "07-12-16 342     15.7      6.1     10.1        0.2 \r\n",
            "06-12-16 341     17.7      7.1     13.4        0.0 \r\n"
          ]
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      "source": [
        "%matplotlib inline\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n"
      ],
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        "id": "MmspaW7wDoUo"
      },
      "execution_count": 9,
      "outputs": []
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        "pd.read_csv('meteo_data.txt')"
      ],
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              "     FECHA    DIA Al04TMax Al04TMin Al04TMed Al04Precip \n",
              "0     -------- --- -------- -------- -------- ------... \n",
              "1     13-12-16 348     14.6      4.0      8.9       ... \n",
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              "4731  02-01-04   2     17.4      5.7     10.6       ... \n",
              "4732  01-01-04   1     18.0      2.5     11.1       ... \n",
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