1_4_3.ipynb

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      "source": [
        "import pandas as pd\n",
        "import numpy as np"
      ]
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      "source": [
        "df_all = pd.read_csv(\"daily_weather_data.csv\").set_index('city')\n",
        "df_all.head()"
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              "               date   country   Latitude  Longitude  tavg  tmin  tmax   wdir  \\\n",
              "city                                                                           \n",
              "Sukhumi  21-07-2018  Abkhazia  43.001525  41.023415  23.4  20.9  25.5  329.0   \n",
              "Sukhumi  22-07-2018  Abkhazia  43.001525  41.023415  23.5  21.0  25.7  337.0   \n",
              "Sukhumi  23-07-2018  Abkhazia  43.001525  41.023415  23.5  21.1  25.5   41.0   \n",
              "Sukhumi  24-07-2018  Abkhazia  43.001525  41.023415  24.3  20.8  27.1   10.0   \n",
              "Sukhumi  25-07-2018  Abkhazia  43.001525  41.023415  26.5  22.7  30.0    9.0   \n",
              "\n",
              "         wspd    pres  \n",
              "city                   \n",
              "Sukhumi   9.3  1009.6  \n",
              "Sukhumi   9.4  1010.0  \n",
              "Sukhumi   8.2  1007.7  \n",
              "Sukhumi   9.3  1004.4  \n",
              "Sukhumi   9.7  1002.0  "
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              "      <td>24-07-2018</td>\n",
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              "      <td>41.023415</td>\n",
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      "source": [
        "# Найдите минимальное значение колонки'tmin' в Helsinki за 2020 год.\n",
        "hell = df_all.loc['Helsinki'].astype({'date': np.datetime64})\n",
        "hell_2020 = hell[hell['date'].dt.year == 2020]\n",
        "\n",
        "# Найдите минимальное значение в столбце 'tmin'\n",
        "min_tmin = hell_2020['tmin'].min()\n",
        "min_tmin"
      ],
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      "execution_count": 23,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-23-21e4b10811c1>:2: UserWarning: Parsing dates in DD/MM/YYYY format when dayfirst=False (the default) was specified. This may lead to inconsistently parsed dates! Specify a format to ensure consistent parsing.\n",
            "  hell = df_all.loc['Helsinki'].astype({'date': np.datetime64})\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "-8.6"
            ]
          },
          "metadata": {},
          "execution_count": 23
        }
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