de-lab3's Introduction
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HackMD - Collaborative Markdown Knowledge Base
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<div id="doc" class="markdown-body container-fluid comment-inner comment-enabled" data-hard-breaks="true"><h2 id="Exercise-4---Перетворення-JSON-у-CSV" data-id="Exercise-4---Перетворення-JSON-у-CSV"><a class="anchor hidden-xs" href="#Exercise-4---Перетворення-JSON-у-CSV" title="Exercise-4---Перетворення-JSON-у-CSV"><span class="octicon octicon-link"></span></a><span>Exercise #4 - Перетворення JSON у CSV</span></h2><p><span>У третій лабораторній роботі потрібно шукати файли </span><code>json</code><span> які хаотично розкидані по каталогам.</span><br>
<span>Коли всі файли </span><code>json</code><span> будуть знайдені їх потрібно конвертувати у файли </span><code>csv</code><span>.</span></p><p><span>Використовувати потрібно наступні пакети: </span><code>glob</code><span>, </span><code>json</code><span> і </span><code>csv</code><span> мови </span><code>Python</code><span>.</span></p><h4 id="Налаштування" data-id="Налаштування"><a class="anchor hidden-xs" href="#Налаштування" title="Налаштування"><span class="octicon octicon-link"></span></a><span>Налаштування</span></h4><ol>
<li>
<p><span>Змініть каталоги командного рядка </span><code>Lab 3</code><span> </span><code>cd .../Lab 3</code><span> де </span><code>...</code><span> ваш шлях до каталогу </span><code>Lab 3</code></p>
</li>
<li>
<p><span>Запустити</span><code>docker build --tag=lab-3 .</code><span>, щоб створити образ </span><code>Docker</code><span>.</span></p>
</li>
<li>
<p><span>У каталозі Lab 3 є файл під назвою </span><code>main.py</code><span>, це те місце, куди має бути розміщений код </span><code>Python</code><span> для виконання вправи.</span></p>
</li>
<li>
<p><span>Після того, як ви закінчите проект або захочете протестувати свій код, виконайте наступну команду </span><code>docker-compose up run</code><span> з каталогу </span><code>.../Lab 3</code></p>
</li>
</ol><h4 id="Постановка-задачи" data-id="Постановка-задачи"><a class="anchor hidden-xs" href="#Постановка-задачи" title="Постановка-задачи"><span class="octicon octicon-link"></span></a><span>Постановка задачи</span></h4><p><span>У поточному каталозі, </span><code>.../Lab 3</code><span>, є папка під назвою </span><code>data</code><span>. В ній є файли </span><code>json</code><span>, розташовані в різних місцях.</span></p><p><span>Ваше завдання — використовувати </span><code>Python</code><span>, щоб знайти всі файли формату </span><code>json</code><span>, розташовані в папці </span><code>data</code><span>.</span><br>
<span>Коли ви знайдете їх усі, прочитайте їх за допомогою </span><code>Python</code><span> і конвертуйте їх у файли </span><code>csv</code><span>, щоб зробити це</span><br>
<span>вам доведеться вирівняти деякі з вкладених структур даних </span><code>json</code><span>.</span></p><p><span>Наприклад, є </span><code>{"type":"Point","coordinates":[-99.9,16.88333]}</code><span>, який потрібно звести до </span><code>{"type":"Point","coordinates_0":-99.9 "coordinates_1":16.88333}</code><span>. Для більше інфорсації пройдіть за </span><a href="https://www.tutorialspoint.com/flattening-json-objects-in-python#:~:text=JSON%20data%20often%20comes%20in,it%20into%20a%20different%20format." target="_blank" rel="noopener"><span>посиланням</span></a><span>.</span></p><p><span>Загалом, ваш сценарій повинен робити наступне…</span></p><ol>
<li><span>Проскануйте каталог </span><code>data</code><span> за допомогою </span><code>Python</code><span> і визначте всі файли </span><code>json</code><span>.</span></li>
<li><span>Завантажте всі файли </span><code>json</code><span>.</span></li>
<li><span>Вирівняйте структуру даних </span><code>json</code><span>.</span></li>
<li><span>Запишіть результати у файли </span><code>csv</code><span>, один до одного із файлами json, збереріжіть відповідність імен файлів.</span></li>
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<li><a href="#Налаштування" title="Налаштування">Налаштування</a></li>
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