CheckdatesNAetc.ipynb

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      "authorship_tag": "ABX9TyN9USpVNfszhSb4wwhnLEPA",
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      "name": "python"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/drfperez/openair/blob/main/CheckdatesNAetc.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
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    {
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      "source": [
        "\n",
        "import pandas as pd\n",
        "from google.colab import files\n",
        "import re\n",
        "\n",
        "# Function to adjust the date if it's not in the correct format\n",
        "def adjust_date(row):\n",
        "    pattern = r'\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2}'\n",
        "    if not re.match(pattern, str(row['date'])):\n",
        "        if isinstance(row['date'], str):  # Check if the value is a string\n",
        "            return row['date'] + ' 00:00:00'\n",
        "        elif isinstance(row['date'], int):  # Check if the value is an integer\n",
        "            return str(row['date']) + ' 00:00:00'\n",
        "    return row['date']\n",
        "\n",
        "# Load the CSV file\n",
        "uploaded = files.upload()\n",
        "\n",
        "# Get the name of the uploaded file\n",
        "file_name = next(iter(uploaded))\n",
        "\n",
        "# Read the data from the uploaded CSV file\n",
        "df = pd.read_csv(file_name)\n",
        "\n",
        "# Replace missing values with 'NA'\n",
        "df.fillna('NA', inplace=True)\n",
        "\n",
        "# Apply the adjust_date function to the 'date' column\n",
        "df['date'] = df.apply(adjust_date, axis=1)\n",
        "\n",
        "# Save the updated data as a CSV file\n",
        "updated_file_name = 'cityNA.csv'\n",
        "df.to_csv(updated_file_name, index=False)\n",
        "\n",
        "# Download the updated file to the local PC\n",
        "files.download(updated_file_name)\n",
        "\n",
        "print(\"The data has been updated and downloaded successfully to\", updated_file_name)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 162
        },
        "id": "wMc4jSU_wbak",
        "outputId": "4aacfa0e-15b4-4905-98b9-e9e377e2097f"
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              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
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              "\n",
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              "\n",
              "  for (const file of files) {\n",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
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              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
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              "          100 :\n",
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              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
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              "  }\n",
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              "    response: {\n",
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              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
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              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
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              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving city2b.csv to city2b (4).csv\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-5-1b78e1867f6b>:22: DtypeWarning: Columns (2,3,4,5,6,7,8,9,10,11) have mixed types. Specify dtype option on import or set low_memory=False.\n",
            "  df = pd.read_csv(file_name)\n"
          ]
        },
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            "application/javascript": [
              "download(\"download_603f013d-dab4-4cea-9991-13945fc95484\", \"cityNA.csv\", 17057994)"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The data has been updated and downloaded successfully to cityNA.csv\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "import pandas as pd\n",
        "from google.colab import files\n",
        "import re\n",
        "\n",
        "# Funció per ajustar la data si no està en el format correcte\n",
        "def ajustar_data(row):\n",
        "    pattern = r'\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2}'\n",
        "    if not re.match(pattern, str(row['date'])):\n",
        "        if isinstance(row['date'], str):  # Comprova si el valor és una cadena de text\n",
        "            return row['date'] + ' 00:00:00'\n",
        "        elif isinstance(row['date'], int):  # Comprova si el valor és un enter\n",
        "            return str(row['date']) + ' 00:00:00'\n",
        "    return row['date']\n",
        "\n",
        "# Carrega l'arxiu CSV\n",
        "uploaded = files.upload()\n",
        "\n",
        "# Obté el nom de l'arxiu carregat\n",
        "nom_arxiu = next(iter(uploaded))\n",
        "\n",
        "# Llegir les dades des de l'arxiu CSV carregat\n",
        "df = pd.read_csv(nom_arxiu)\n",
        "\n",
        "# Substitueix \"na\", \"null\" i buit per zeros a més a més\n",
        "df.fillna(0, inplace=True)\n",
        "df.replace(\"na\", 0, inplace=True)\n",
        "df.replace(\"null\", 0, inplace=True)\n",
        "df.replace(\"\", 0, inplace=True)\n",
        "\n",
        "# Aplicar la funció a la columna 'date'\n",
        "df['date'] = df.apply(ajustar_data, axis=1)\n",
        "\n",
        "# Desa les dades actualitzades com un arxiu CSV\n",
        "nom_arxiu_actualitzat = 'city0.csv'\n",
        "df.to_csv(nom_arxiu_actualitzat, index=False)\n",
        "\n",
        "# Descarregar l'arxiu actualitzat al PC local\n",
        "files.download(nom_arxiu_actualitzat)\n",
        "\n",
        "print(\"Les dades s'han actualitzat i s'han descarregat correctament a\", nom_arxiu_actualitzat)"
      ],
      "metadata": {
        "id": "xdhxiEiWyFuk"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import files\n",
        "import pandas as pd\n",
        "import re\n",
        "\n",
        "# Funció per ajustar la data si no està en el format correcte\n",
        "def ajustar_data(row):\n",
        "    pattern = r'\\d{4}-\\d{2}-\\d{2} \\d{2}:\\d{2}:\\d{2}'\n",
        "    if not re.match(pattern, str(row['date'])):\n",
        "        if isinstance(row['date'], float):  # Comprova si el valor és un float\n",
        "            return str(row['date']) + ' 00:00:00'  # Converteix el float a str abans de la suma\n",
        "        else:\n",
        "            return row['date'] + ' 00:00:00'\n",
        "    else:\n",
        "        return row['date']\n",
        "\n",
        "# Carrega l'arxiu CSV\n",
        "uploaded = files.upload()\n",
        "\n",
        "# Obté el nom de l'arxiu carregat\n",
        "nom_arxiu = next(iter(uploaded))\n",
        "\n",
        "# Llegir les dades des de l'arxiu CSV carregat\n",
        "df = pd.read_csv(nom_arxiu)\n",
        "\n",
        "# Aplicar la funció a la columna 'date'\n",
        "df['date'] = df.apply(ajustar_data, axis=1)\n",
        "\n",
        "# Desar les dades actualitzades com un arxiu CSV\n",
        "nom_arxiu_actualitzat = 'citybuit.csv'\n",
        "df.to_csv(nom_arxiu_actualitzat, index=False)\n",
        "\n",
        "# Descarregar l'arxiu actualitzat\n",
        "files.download(nom_arxiu_actualitzat)"
      ],
      "metadata": {
        "id": "kazgiSwMz0yP",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 180
        },
        "outputId": "3bbcda0b-faaf-44b5-abdc-3c8a136e4b49"
      },
      "execution_count": null,
      "outputs": [
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              "      Upload widget is only available when the cell has been executed in the\n",
              "      current browser session. Please rerun this cell to enable.\n",
              "      </output>\n",
              "      <script>// Copyright 2017 Google LLC\n",
              "//\n",
              "// Licensed under the Apache License, Version 2.0 (the \"License\");\n",
              "// you may not use this file except in compliance with the License.\n",
              "// You may obtain a copy of the License at\n",
              "//\n",
              "//      http://www.apache.org/licenses/LICENSE-2.0\n",
              "//\n",
              "// Unless required by applicable law or agreed to in writing, software\n",
              "// distributed under the License is distributed on an \"AS IS\" BASIS,\n",
              "// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n",
              "// See the License for the specific language governing permissions and\n",
              "// limitations under the License.\n",
              "\n",
              "/**\n",
              " * @fileoverview Helpers for google.colab Python module.\n",
              " */\n",
              "(function(scope) {\n",
              "function span(text, styleAttributes = {}) {\n",
              "  const element = document.createElement('span');\n",
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              "    element.style[key] = styleAttributes[key];\n",
              "  }\n",
              "  return element;\n",
              "}\n",
              "\n",
              "// Max number of bytes which will be uploaded at a time.\n",
              "const MAX_PAYLOAD_SIZE = 100 * 1024;\n",
              "\n",
              "function _uploadFiles(inputId, outputId) {\n",
              "  const steps = uploadFilesStep(inputId, outputId);\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  // Cache steps on the outputElement to make it available for the next call\n",
              "  // to uploadFilesContinue from Python.\n",
              "  outputElement.steps = steps;\n",
              "\n",
              "  return _uploadFilesContinue(outputId);\n",
              "}\n",
              "\n",
              "// This is roughly an async generator (not supported in the browser yet),\n",
              "// where there are multiple asynchronous steps and the Python side is going\n",
              "// to poll for completion of each step.\n",
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              "  const outputElement = document.getElementById(outputId);\n",
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              "\n",
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              "\n",
              "  const outputElement = document.getElementById(outputId);\n",
              "  outputElement.innerHTML = '';\n",
              "\n",
              "  const pickedPromise = new Promise((resolve) => {\n",
              "    inputElement.addEventListener('change', (e) => {\n",
              "      resolve(e.target.files);\n",
              "    });\n",
              "  });\n",
              "\n",
              "  const cancel = document.createElement('button');\n",
              "  inputElement.parentElement.appendChild(cancel);\n",
              "  cancel.textContent = 'Cancel upload';\n",
              "  const cancelPromise = new Promise((resolve) => {\n",
              "    cancel.onclick = () => {\n",
              "      resolve(null);\n",
              "    };\n",
              "  });\n",
              "\n",
              "  // Wait for the user to pick the files.\n",
              "  const files = yield {\n",
              "    promise: Promise.race([pickedPromise, cancelPromise]),\n",
              "    response: {\n",
              "      action: 'starting',\n",
              "    }\n",
              "  };\n",
              "\n",
              "  cancel.remove();\n",
              "\n",
              "  // Disable the input element since further picks are not allowed.\n",
              "  inputElement.disabled = true;\n",
              "\n",
              "  if (!files) {\n",
              "    return {\n",
              "      response: {\n",
              "        action: 'complete',\n",
              "      }\n",
              "    };\n",
              "  }\n",
              "\n",
              "  for (const file of files) {\n",
              "    const li = document.createElement('li');\n",
              "    li.append(span(file.name, {fontWeight: 'bold'}));\n",
              "    li.append(span(\n",
              "        `(${file.type || 'n/a'}) - ${file.size} bytes, ` +\n",
              "        `last modified: ${\n",
              "            file.lastModifiedDate ? file.lastModifiedDate.toLocaleDateString() :\n",
              "                                    'n/a'} - `));\n",
              "    const percent = span('0% done');\n",
              "    li.appendChild(percent);\n",
              "\n",
              "    outputElement.appendChild(li);\n",
              "\n",
              "    const fileDataPromise = new Promise((resolve) => {\n",
              "      const reader = new FileReader();\n",
              "      reader.onload = (e) => {\n",
              "        resolve(e.target.result);\n",
              "      };\n",
              "      reader.readAsArrayBuffer(file);\n",
              "    });\n",
              "    // Wait for the data to be ready.\n",
              "    let fileData = yield {\n",
              "      promise: fileDataPromise,\n",
              "      response: {\n",
              "        action: 'continue',\n",
              "      }\n",
              "    };\n",
              "\n",
              "    // Use a chunked sending to avoid message size limits. See b/62115660.\n",
              "    let position = 0;\n",
              "    do {\n",
              "      const length = Math.min(fileData.byteLength - position, MAX_PAYLOAD_SIZE);\n",
              "      const chunk = new Uint8Array(fileData, position, length);\n",
              "      position += length;\n",
              "\n",
              "      const base64 = btoa(String.fromCharCode.apply(null, chunk));\n",
              "      yield {\n",
              "        response: {\n",
              "          action: 'append',\n",
              "          file: file.name,\n",
              "          data: base64,\n",
              "        },\n",
              "      };\n",
              "\n",
              "      let percentDone = fileData.byteLength === 0 ?\n",
              "          100 :\n",
              "          Math.round((position / fileData.byteLength) * 100);\n",
              "      percent.textContent = `${percentDone}% done`;\n",
              "\n",
              "    } while (position < fileData.byteLength);\n",
              "  }\n",
              "\n",
              "  // All done.\n",
              "  yield {\n",
              "    response: {\n",
              "      action: 'complete',\n",
              "    }\n",
              "  };\n",
              "}\n",
              "\n",
              "scope.google = scope.google || {};\n",
              "scope.google.colab = scope.google.colab || {};\n",
              "scope.google.colab._files = {\n",
              "  _uploadFiles,\n",
              "  _uploadFilesContinue,\n",
              "};\n",
              "})(self);\n",
              "</script> "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Saving city2b.csv to city2b (5).csv\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-8-d0269be1537b>:23: DtypeWarning: Columns (2,3,4,5,6,7,8,9,10,11) have mixed types. Specify dtype option on import or set low_memory=False.\n",
            "  df = pd.read_csv(nom_arxiu)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "download(\"download_a64e6224-aeb1-44ce-a0e8-a3347d899e41\", \"citybuit.csv\", 15124011)"
            ]
          },
          "metadata": {}
        }
      ]
    }
  ]
}