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<title>как сделать столбцы строками pandas — Q&A Хекслет</title>
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pandas\r","created_at":"2023-03-29T12:39:47.018Z","details":null,"best_answer_id":4029,"related_stacks_count":5},"answers":[{"user":{"id":198906,"email":"litvinovmksm@gmail.com","first_name":"Maksim","last_name":"Litvinov","telegram":"","full_name":"Maksim Litvinov","removed":false},"question":{"creator":{"id":583099,"email":"shade.mailbox@gmail.com","first_name":"Arthur","last_name":"Cheremisin","telegram":"","full_name":"Arthur Cheremisin","removed":false},"category":{"id":13,"title":"Аналитика данных","slug":"data-analytics","questions_count":219,"locale":"ru"},"tags":[{"id":1096,"slug":"analitika","name":"Аналитика"},{"id":1095,"slug":"data-analitika","name":"data-аналитика"}],"id":2902,"answers_count":1,"slug":"kak-sdelat-stolbtsy-strokami-pandas","state":"published","title":"как сделать столбцы строками pandas\r","created_at":"2023-03-29T12:39:47.018Z","details":null,"best_answer_id":4029,"related_stacks_count":5},"id":4029,"state":"active","body":"Чтобы преобразовать столбцы в строки в pandas, можно использовать метод `melt`.\r\n\r\nНапример, если у вас есть DataFrame `df` с несколькими столбцами и вы хотите преобразовать их в строки, то можно сделать так:\r\n\r\n```python\r\nimport pandas as pd\r\n\r\n# создаем пример DataFrame\r\ndf = pd.DataFrame({\r\n 'A': [1, 2, 3],\r\n 'B': [4, 5, 6],\r\n 'C': [7, 8, 9]\r\n})\r\n\r\n# преобразуем столбцы в строки\r\ndf_melted = df.melt()\r\n\r\nprint(df_melted)\r\n```\r\n\r\nЭтот код превратит столбцы `A`, `B`, `C` в строковые данные, а столбец `value` будет содержать значения из соответствующих столбцов.\r\n\r\nТакже можно указать конкретные столбцы, которые нужно преобразовать в строки:\r\n\r\n```python\r\n# преобразуем только столбцы 'A' и 'B' в строки\r\ndf_melted = df.melt(id_vars=['A', 'B'])\r\n\r\nprint(df_melted)\r\n```\r\n\r\nЭтот метод позволяет удобно преобразовывать столбцы в строки для анализа данных или визуализации","votes_up_count":1,"votes_down_count":0,"created_at":"2024-07-10T10:54:37.349Z","user_id":198906,"category_slug":"data-analytics"}],"relatedQuestions":[{"creator":{"id":583099,"email":"shade.mailbox@gmail.com","first_name":"Arthur","last_name":"Cheremisin","telegram":"","full_name":"Arthur Cheremisin","removed":false},"category":{"id":13,"title":"Аналитика данных","slug":"data-analytics","questions_count":219,"locale":"ru"},"tags":[{"id":1096,"slug":"analitika","name":"Аналитика"},{"id":1095,"slug":"data-analitika","name":"data-аналитика"}],"id":2699,"answers_count":1,"slug":"chto-takoe-ctr","state":"published","title":"что такое ctr\r","created_at":"2023-03-29T12:39:31.634Z","details":null,"best_answer_id":4289,"related_stacks_count":5},{"creator":{"id":583099,"email":"shade.mailbox@gmail.com","first_name":"Arthur","last_name":"Cheremisin","telegram":"","full_name":"Arthur Cheremisin","removed":false},"category":{"id":13,"title":"Аналитика 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установить\r","created_at":"2023-03-29T12:39:31.811Z","details":null,"best_answer_id":4287,"related_stacks_count":5},{"creator":{"id":583099,"email":"shade.mailbox@gmail.com","first_name":"Arthur","last_name":"Cheremisin","telegram":"","full_name":"Arthur Cheremisin","removed":false},"category":{"id":13,"title":"Аналитика данных","slug":"data-analytics","questions_count":219,"locale":"ru"},"tags":[{"id":1095,"slug":"data-analitika","name":"data-аналитика"},{"id":1096,"slug":"analitika","name":"Аналитика"}],"id":2702,"answers_count":1,"slug":"matplotlib-pyplot-chto-eto","state":"published","title":"matplotlib pyplot что это\r","created_at":"2023-03-29T12:39:31.873Z","details":null,"best_answer_id":4286,"related_stacks_count":5},{"creator":{"id":583099,"email":"shade.mailbox@gmail.com","first_name":"Arthur","last_name":"Cheremisin","telegram":"","full_name":"Arthur Cheremisin","removed":false},"category":{"id":13,"title":"Аналитика 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{.mantine-hidden-from-lg {display: none !important;}}@media (max-width: 87.99375em) {.mantine-visible-from-xl {display: none !important;}}@media (min-width: 88em) {.mantine-hidden-from-xl {display: none !important;}}</style><script type="application/ld+json">{"@context":"https://schema.org","@type":"QAPage","mainEntity":{"@type":"Question","name":"как сделать столбцы строками pandas\r","answerCount":1,"datePublished":"2023-03-29T12:39:47.018Z","author":{"@type":"Person","name":"Arthur Cheremisin"},"acceptedAnswer":{"@type":"Answer","text":"Чтобы преобразовать столбцы в строки в pandas, можно использовать метод `melt`.\r\n\r\nНапример, если у вас есть DataFrame `df` с несколькими столбцами и вы хотите преобразовать их в строки, то можно сделать так:\r\n\r\n```python\r\nimport pandas as pd\r\n\r\n# создаем пример DataFrame\r\ndf = pd.DataFrame({\r\n 'A': [1, 2, 3],\r\n 'B': [4, 5, 6],\r\n 'C': [7, 8, 9]\r\n})\r\n\r\n# преобразуем столбцы в строки\r\ndf_melted = df.melt()\r\n\r\nprint(df_melted)\r\n```\r\n\r\nЭтот код превратит столбцы `A`, `B`, `C` в строковые данные, а столбец `value` будет содержать значения из соответствующих столбцов.\r\n\r\nТакже можно указать конкретные столбцы, которые нужно преобразовать в строки:\r\n\r\n```python\r\n# преобразуем только столбцы 'A' и 'B' в строки\r\ndf_melted = df.melt(id_vars=['A', 'B'])\r\n\r\nprint(df_melted)\r\n```\r\n\r\nЭтот метод позволяет удобно преобразовывать столбцы в строки для анализа данных или визуализации","datePublished":"2024-07-10T10:54:37.349Z","upvoteCount":1,"author":{"@type":"Person","name":"Maksim Litvinov"},"url":"https://ru.hexlet.io/qna/data-analytics/questions/kak-sdelat-stolbtsy-strokami-pandas#answer-4029"}}}</script><div style="--container-size:var(--container-size-lg);margin-top:var(--mantine-spacing-xl);height:100%" class="m_7485cace mantine-Container-root" data-size="lg" data-strategy="block"><script 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15h1"></path><path d="M12 15v3"></path></svg><p class="mantine-focus-auto m_b6d8b162 mantine-Text-root" data-inherit="true">3 года назад</p></div><div style="--group-gap:calc(0.25rem * var(--mantine-scale));--group-align:center;--group-justify:flex-start;--group-wrap:wrap" class="m_4081bf90 mantine-Group-root"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-user "><path d="M8 7a4 4 0 1 0 8 0a4 4 0 0 0 -8 0"></path><path d="M6 21v-2a4 4 0 0 1 4 -4h4a4 4 0 0 1 4 4v2"></path></svg><p class="mantine-focus-auto m_b6d8b162 mantine-Text-root" data-inherit="true">Arthur Cheremisin</p></div></div><div role="link" tabindex="0" style="cursor:pointer"><button style="display:block;width:100%" class="mantine-focus-auto m_87cf2631 mantine-UnstyledButton-root" type="button" aria-label="Присоединяйтесь к нашему Telegram-сообществу"><div 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style="--title-fw:var(--mantine-h2-font-weight);--title-lh:var(--mantine-h2-line-height);--title-fz:var(--mantine-h2-font-size);margin-block:var(--mantine-spacing-xl)" class="m_8a5d1357 mantine-Title-root" data-order="2">Ответы</h2><div style="margin-bottom:var(--mantine-spacing-xl);padding:var(--mantine-spacing-lg)" class="m_e615b15f mantine-Card-root m_1b7284a3 mantine-Paper-root" data-with-border="true" id="answer-4029"><div style="--group-gap:calc(1.125rem * var(--mantine-scale));--group-align:stretch;--group-justify:flex-start;--group-wrap:nowrap" class="m_4081bf90 mantine-Group-root"><div style="--stack-gap:var(--mantine-spacing-md);--stack-align:stretch;--stack-justify:flex-start;font-size:var(--mantine-font-size-h1);font-weight:lighter;text-align:center" class="m_6d731127 mantine-Stack-root">1<a style="color:inherit" class="mantine-focus-auto m_849cf0da m_b6d8b162 mantine-Text-root mantine-Anchor-root" data-underline="hover" href="/qna/data-analytics/questions/kak-sdelat-stolbtsy-strokami-pandas/answers/4029/vote"><div style="--ti-bg:transparent;--ti-color:var(--mantine-color-indigo-light-color);--ti-bd:calc(0.0625rem * var(--mantine-scale)) solid transparent;color:inherit" class="m_7341320d mantine-ThemeIcon-root" data-variant="transparent"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-thumb-up "><path d="M7 11v8a1 1 0 0 1 -1 1h-2a1 1 0 0 1 -1 -1v-7a1 1 0 0 1 1 -1h3a4 4 0 0 0 4 -4v-1a2 2 0 0 1 4 0v5h3a2 2 0 0 1 2 2l-1 5a2 3 0 0 1 -2 2h-7a3 3 0 0 1 -3 -3"></path></svg></div></a><div style="--ti-bg:transparent;--ti-color:var(--mantine-color-indigo-light-color);--ti-bd:calc(0.0625rem * var(--mantine-scale)) solid transparent;color:inherit" class="m_7341320d mantine-ThemeIcon-root" data-variant="transparent"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-check "><path d="M5 12l5 5l10 -10"></path></svg></div></div><div style="--stack-gap:var(--mantine-spacing-md);--stack-align:stretch;--stack-justify:flex-start;width:100%;min-width:0rem" class="m_6d731127 mantine-Stack-root"><div style="margin-bottom:auto" class="m_d08caa0 mantine-Typography-root"><p>Чтобы преобразовать столбцы в строки в pandas, можно использовать метод <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">melt</code>.</p>
<p>Например, если у вас есть DataFrame <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">df</code> с несколькими столбцами и вы хотите преобразовать их в строки, то можно сделать так:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code">import pandas as pd
# создаем пример DataFrame
df = pd.DataFrame({
'A': [1, 2, 3],
'B': [4, 5, 6],
'C': [7, 8, 9]
})
# преобразуем столбцы в строки
df_melted = df.melt()
print(df_melted)</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>Этот код превратит столбцы <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">A</code>, <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">B</code>, <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">C</code> в строковые данные, а столбец <code style="margin-bottom:var(--mantine-spacing-lg)" class="m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight m_e597c321 mantine-CodeHighlight-codeHighlight m_dfe9c588 mantine-InlineCodeHighlight-inlineCodeHighlight">value</code> будет содержать значения из соответствующих столбцов.</p>
<p>Также можно указать конкретные столбцы, которые нужно преобразовать в строки:</p>
<div style="margin-bottom:var(--mantine-spacing-lg)" class="m_e597c321 mantine-CodeHighlight-codeHighlight" dir="ltr"><div class="m_be7e9c9c mantine-CodeHighlight-controls"><button style="--ai-bg:transparent;--ai-hover:transparent;--ai-color:inherit;--ai-bd:none" class="mantine-focus-auto mantine-active m_d498bab7 mantine-CodeHighlight-control m_8d3f4000 mantine-ActionIcon-root m_87cf2631 mantine-UnstyledButton-root" data-variant="none" type="button" aria-label="Copy code"><span class="m_8d3afb97 mantine-ActionIcon-icon"><svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" stroke-width="2" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"><path stroke="none" d="M0 0h24v24H0z" fill="none"></path><path d="M8 8m0 2a2 2 0 0 1 2 -2h8a2 2 0 0 1 2 2v8a2 2 0 0 1 -2 2h-8a2 2 0 0 1 -2 -2z"></path><path d="M16 8v-2a2 2 0 0 0 -2 -2h-8a2 2 0 0 0 -2 2v8a2 2 0 0 0 2 2h2"></path></svg></span></button></div><div style="--scrollarea-scrollbar-size:calc(0.25rem * var(--mantine-scale));--sa-corner-width:0px;--sa-corner-height:0px" class="m_f744fd40 mantine-CodeHighlight-scrollarea m_d57069b5 mantine-ScrollArea-root" dir="ltr"><div style="overflow-x:hidden;overflow-y:hidden;overscroll-behavior-inline:none" class="m_c0783ff9 mantine-ScrollArea-viewport" data-scrollbars="xy"><div class="m_b1336c6 mantine-ScrollArea-content"><pre class="m_2c47c4fd mantine-CodeHighlight-pre" style="padding:0"><code class="m_5caae6d3 mantine-CodeHighlight-code"># преобразуем только столбцы 'A' и 'B' в строки
df_melted = df.melt(id_vars=['A', 'B'])
print(df_melted)</code></pre></div></div></div><button class="mantine-focus-auto m_c9378bc2 mantine-CodeHighlight-showCodeButton m_87cf2631 mantine-UnstyledButton-root" data-hidden="true" type="button">Expand code</button></div>
<p>Этот метод позволяет удобно преобразовывать столбцы в строки для анализа данных или визуализации</p></div><div class="m_3eebeb36 mantine-Divider-root" data-orientation="horizontal" role="separator"></div><div style="--group-gap:var(--mantine-spacing-md);--group-align:center;--group-justify:flex-start;--group-wrap:wrap;font-size:var(--mantine-font-size-sm)" class="m_4081bf90 mantine-Group-root"><div style="--group-gap:var(--mantine-spacing-xs);--group-align:center;--group-justify:flex-start;--group-wrap:wrap;margin-inline-start:auto" class="m_4081bf90 mantine-Group-root"><svg xmlns="http://www.w3.org/2000/svg" width="16" height="16" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="1.2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-calendar "><path d="M4 7a2 2 0 0 1 2 -2h12a2 2 0 0 1 2 2v12a2 2 0 0 1 -2 2h-12a2 2 0 0 1 -2 -2v-12"></path><path d="M16 3v4"></path><path d="M8 3v4"></path><path d="M4 11h16"></path><path d="M11 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