Climate Coding Challenge, Part 3!.ipynb

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        "# Part 3: Convert units\n",
        "\n",
        "It’s important to keep track of the units of all your data. You don’t\n",
        "want to be like the [NASA team who crashed a probe into Mars because\n",
        "different teams used different\n",
        "units](https://www.latimes.com/archives/la-xpm-1999-oct-01-mn-17288-story.html))!\n",
        "\n",
        "## Use labels to keep track of units for you and your collaborators\n",
        "\n",
        "One way to keep track of your data’s units is to include the unit in\n",
        "data **labels**. In the case of a `DataFrame`, that usually means the\n",
        "column names.\n",
        "\n",
        "Before we get started, make sure to load the climate `DataFrame` you\n",
        "stored in the previous notebooks using Jupyter cell magic:"
      ]
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        "# Load all stored variables\n",
        "%store -r"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "5eb9458f-20da-4995-a310-af562f40a366",
      "metadata": {},
      "source": [
        "<link rel=\"stylesheet\" type=\"text/css\" href=\"./assets/styles.css\"><div class=\"callout callout-style-default callout-titled callout-task\"><div class=\"callout-header\"><div class=\"callout-icon-container\"><i class=\"callout-icon\"></i></div><div class=\"callout-title-container flex-fill\">Try It: Add units to your column name</div></div><div class=\"callout-body-container callout-body\"><p>A big part of writing <strong>expressive</strong> code is descriptive\n",
        "labels. Let’s rename the columns of your dataframe to include units.\n",
        "Complete the following steps:</p>\n",
        "<ol type=\"1\">\n",
        "<li>Replace <code>dataframe</code> with the name of\n",
        "<strong>your</strong> <code>DataFrame</code>, and\n",
        "<code>dataframe_units</code> with an expressive new name.</li>\n",
        "<li>Check out the <a\n",
        "href=\"https://www.ncei.noaa.gov/data/global-historical-climatology-network-daily/doc/GHCND_documentation.pdf\">documentation\n",
        "for GCHNd data</a>. We downloaded data with “standard” units; find out\n",
        "what that means for both temperature and precipitation.</li>\n",
        "<li>Replace <code>'TOBS_UNIT'</code> and <code>'PRCP_UNIT'</code> with\n",
        "column names that reference the correct unit for each.</li>\n",
        "</ol></div></div>"
      ]
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Precip_In</th>\n",
              "      <th>Temp_F</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>DATE</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "      <th>1893-10-03</th>\n",
              "      <td>0.00</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>2023-09-26</th>\n",
              "      <td>0.00</td>\n",
              "      <td>74.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-09-27</th>\n",
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              "      <td>69.0</td>\n",
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              "      <th>2023-09-28</th>\n",
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              "      <td>73.0</td>\n",
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              "      <th>2023-09-29</th>\n",
              "      <td>0.00</td>\n",
              "      <td>66.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-09-30</th>\n",
              "      <td>0.00</td>\n",
              "      <td>78.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "<p>45971 rows × 2 columns</p>\n",
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            "text/plain": [
              "            Precip_In  Temp_F\n",
              "DATE                         \n",
              "1893-10-01       0.94     NaN\n",
              "1893-10-02       0.00     NaN\n",
              "1893-10-03       0.00     NaN\n",
              "1893-10-04       0.04     NaN\n",
              "1893-10-05       0.00     NaN\n",
              "...               ...     ...\n",
              "2023-09-26       0.00    74.0\n",
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              "2023-09-28       0.00    73.0\n",
              "2023-09-29       0.00    66.0\n",
              "2023-09-30       0.00    78.0\n",
              "\n",
              "[45971 rows x 2 columns]"
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      "source": [
        "bco_climate_df = bco_climate_df.rename(columns={\n",
        "    'TOBS': 'Temp_F',\n",
        "    'PRCP': 'Precip_In'\n",
        "})\n",
        "\n",
        "bco_climate_df"
      ]
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        "## For scientific applications, it is often useful to have values in metric units\n",
        "\n",
        "<link rel=\"stylesheet\" type=\"text/css\" href=\"./assets/styles.css\"><div class=\"callout callout-style-default callout-titled callout-task\"><div class=\"callout-header\"><div class=\"callout-icon-container\"><i class=\"callout-icon\"></i></div><div class=\"callout-title-container flex-fill\">Try It: Convert units</div></div><div class=\"callout-body-container callout-body\"><p>The code below attempts to convert the data to Celcius, using Python\n",
        "mathematical <strong>operators</strong>, like <code>+</code>,\n",
        "<code>-</code>, <code>*</code>, and <code>/</code>. Mathematical\n",
        "operators in Python work just like a calculator, and that includes using\n",
        "parentheses to designat the <strong>order of operations</strong>. The\n",
        "equation for converting Fahrenheit temperature to Celcius is:\n",
        "\n",
        "$$\n",
        "T_C = (T_F - 32) * \\frac{5}{9}\n",
        "$$\n",
        "\n",
        "<p>This code is not well documented and doesn’t follow <a\n",
        "href=\"https://peps.python.org/pep-0008/#other-recommendations\">PEP-8\n",
        "guidelines</a>, which has caused the author to miss an <strong>important\n",
        "error</strong>!</p>\n",
        "<p>Complete the following steps:</p>\n",
        "<ol type=\"1\">\n",
        "<li>Replace <code>dataframe</code> with the name of\n",
        "<strong>your</strong> <code>DataFrame</code>.</li>\n",
        "<li>Replace <code>'old_temperature'</code> with the column name\n",
        "<strong>you</strong> used; Replace <code>'new_temperature'</code> with\n",
        "an <strong>expressive</strong> column name.</li>\n",
        "<li><strong>THERE IS AN ERROR IN THE CONVERSION MATH - Fix\n",
        "it!</strong></li>\n",
        "</ol></div></div>"
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              "      <th></th>\n",
              "      <th>Precip_In</th>\n",
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              "      <th>C_temp</th>\n",
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              "    <tr>\n",
              "      <th>DATE</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
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              "  </thead>\n",
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              "      <td>NaN</td>\n",
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              "    <tr>\n",
              "      <th>1893-10-05</th>\n",
              "      <td>0.00</td>\n",
              "      <td>NaN</td>\n",
              "      <td>NaN</td>\n",
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              "    <tr>\n",
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              "    <tr>\n",
              "      <th>2023-09-27</th>\n",
              "      <td>0.00</td>\n",
              "      <td>69.0</td>\n",
              "      <td>20.555556</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-09-28</th>\n",
              "      <td>0.00</td>\n",
              "      <td>73.0</td>\n",
              "      <td>22.777778</td>\n",
              "    </tr>\n",
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              "      <th>2023-09-29</th>\n",
              "      <td>0.00</td>\n",
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              "      <td>0.00</td>\n",
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              "<p>45971 rows × 3 columns</p>\n",
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            ],
            "text/plain": [
              "            Precip_In  Temp_F     C_temp\n",
              "DATE                                    \n",
              "1893-10-01       0.94     NaN        NaN\n",
              "1893-10-02       0.00     NaN        NaN\n",
              "1893-10-03       0.00     NaN        NaN\n",
              "1893-10-04       0.04     NaN        NaN\n",
              "1893-10-05       0.00     NaN        NaN\n",
              "...               ...     ...        ...\n",
              "2023-09-26       0.00    74.0  23.333333\n",
              "2023-09-27       0.00    69.0  20.555556\n",
              "2023-09-28       0.00    73.0  22.777778\n",
              "2023-09-29       0.00    66.0  18.888889\n",
              "2023-09-30       0.00    78.0  25.555556\n",
              "\n",
              "[45971 rows x 3 columns]"
            ]
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      "source": [
        "# dataframe_units['new_temperature']= dataframe_units['old_temperature']-32*5/9\n",
        "\n",
        "bco_climate_df['C_temp'] = (bco_climate_df['Temp_F']-32)*5/9\n",
        "bco_climate_df"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "7efe3c8d-a178-44c1-9ece-ce9202350b32",
      "metadata": {},
      "source": [
        "<link rel=\"stylesheet\" type=\"text/css\" href=\"./assets/styles.css\"><div class=\"callout callout-style-default callout-titled callout-extra\"><div class=\"callout-header\"><div class=\"callout-icon-container\"><i class=\"callout-icon\"></i></div><div class=\"callout-title-container flex-fill\">Looking for an Extra Challenge?</div></div><div class=\"callout-body-container callout-body\"><p>Using the code below as a framework, write and apply a\n",
        "<strong>function</strong> that converts to Celcius. You should also\n",
        "rewrite this function name to be more expressive.</p>\n",
        "<div class=\"sourceCode\" id=\"cb1\"><pre\n",
        "class=\"sourceCode python\"><code class=\"sourceCode python\"><span id=\"cb1-1\"><a href=\"#cb1-1\" aria-hidden=\"true\" tabindex=\"-1\"></a><span class=\"kw\">def</span> convert(temperature):</span>\n",
        "<span id=\"cb1-2\"><a href=\"#cb1-2\" aria-hidden=\"true\" tabindex=\"-1\"></a>    <span class=\"co\">&quot;&quot;&quot;Convert temperature to Celcius&quot;&quot;&quot;</span></span>\n",
        "<span id=\"cb1-3\"><a href=\"#cb1-3\" aria-hidden=\"true\" tabindex=\"-1\"></a>    <span class=\"cf\">return</span> temperature <span class=\"co\"># Put your equation in here</span></span>\n",
        "<span id=\"cb1-4\"><a href=\"#cb1-4\" aria-hidden=\"true\" tabindex=\"-1\"></a></span>\n",
        "<span id=\"cb1-5\"><a href=\"#cb1-5\" aria-hidden=\"true\" tabindex=\"-1\"></a>dataframe[<span class=\"st\">&#39;TOBS_C&#39;</span>] <span class=\"op\">=</span> dataframe[<span class=\"st\">&#39;TOBS&#39;</span>].<span class=\"bu\">apply</span>(convert)</span></code></pre></div></div></div>"
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          "text": [
            "Stored 'bco_climate_df' (DataFrame)\n"
          ]
        }
      ],
      "source": [
        "def fcconvert(obstemp):\n",
        "   return (obstemp - 32)*(5/9)\n",
        "\n",
        "bco_climate_df['TOBS_C'] = bco_climate_df['Temp_F'].apply(fcconvert)\n",
        "bco_climate_df\n",
        "%store bco_climate_df"
      ]
    }
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