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условию\r","created_at":"2023-03-29T12:39:45.770Z","details":null,"best_answer_id":4047,"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":1095,"slug":"data-analitika","name":"data-аналитика"},{"id":1096,"slug":"analitika","name":"Аналитика"}],"id":2884,"answers_count":1,"slug":"pandas-kak-prisvoit-znachenie-po-usloviyu","state":"published","title":"pandas как присвоить значение по условию\r","created_at":"2023-03-29T12:39:45.770Z","details":null,"best_answer_id":4047,"related_stacks_count":5},"id":4047,"state":"active","body":"Для присвоения значения по условию в pandas можно использовать метод `loc[]`, который позволяет обращаться к строкам и столбцам по меткам индекса и названиям столбцов.\r\n\r\nНапример, если мы хотим присвоить значение \"Новое значение\" столбцу 'Колонка2' в строках, где значение столбца 'Колонка1' равно 10, можно сделать следующим образом:\r\n\r\n```python\r\nimport pandas as pd\r\n\r\ndata = {'Колонка1': [10, 20, 30],\r\n 'Колонка2': ['Значение1', 'Значение2', 'Значение3']}\r\n\r\ndf = pd.DataFrame(data)\r\n\r\n# Присваиваем новое значение в столбец 'Колонка2' по условию\r\ndf.loc[df['Колонка1'] == 10, 'Колонка2'] = 'Новое значение'\r\n\r\nprint(df)\r\n```\r\n\r\nЭтот код присвоит значение \"Новое значение\" столбцу 'Колонка2' только в строке, где значение столбца 'Колонка1' равно 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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":"pandas как присвоить значение по условию\r","answerCount":1,"datePublished":"2023-03-29T12:39:45.770Z","author":{"@type":"Person","name":"Arthur Cheremisin"},"acceptedAnswer":{"@type":"Answer","text":"Для присвоения значения по условию в pandas можно использовать метод `loc[]`, который позволяет обращаться к строкам и столбцам по меткам индекса и названиям столбцов.\r\n\r\nНапример, если мы хотим присвоить значение "Новое значение" столбцу 'Колонка2' в строках, где значение столбца 'Колонка1' равно 10, можно сделать следующим образом:\r\n\r\n```python\r\nimport pandas as pd\r\n\r\ndata = {'Колонка1': [10, 20, 30],\r\n 'Колонка2': ['Значение1', 'Значение2', 'Значение3']}\r\n\r\ndf = pd.DataFrame(data)\r\n\r\n# Присваиваем новое значение в столбец 'Колонка2' по условию\r\ndf.loc[df['Колонка1'] == 10, 'Колонка2'] = 'Новое значение'\r\n\r\nprint(df)\r\n```\r\n\r\nЭтот код присвоит значение "Новое значение" столбцу 'Колонка2' только в строке, где значение столбца 'Колонка1' равно 10.","datePublished":"2024-07-10T11:27:57.388Z","upvoteCount":1,"author":{"@type":"Person","name":"Maksim Litvinov"},"url":"https://ru.hexlet.io/qna/data-analytics/questions/pandas-kak-prisvoit-znachenie-po-usloviyu#answer-4047"}}}</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 type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"position":1,"@type":"ListItem","item":{"@id":"/qna","name":"Вопросы и 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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>Для присвоения значения по условию 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">loc[]</code>, который позволяет обращаться к строкам и столбцам по меткам индекса и названиям столбцов.</p>
<p>Например, если мы хотим присвоить значение "Новое значение" столбцу 'Колонка2' в строках, где значение столбца 'Колонка1' равно 10, можно сделать следующим образом:</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
data = {'Колонка1': [10, 20, 30],
'Колонка2': ['Значение1', 'Значение2', 'Значение3']}
df = pd.DataFrame(data)
# Присваиваем новое значение в столбец 'Колонка2' по условию
df.loc[df['Колонка1'] == 10, 'Колонка2'] = 'Новое значение'
print(df)</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 присвоит значение "Новое значение" столбцу 'Колонка2' только в строке, где значение столбца 'Колонка1' равно 10.</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 15h1"></path><path d="M12 15v3"></path></svg><p class="mantine-focus-auto m_b6d8b162 mantine-Text-root" data-inherit="true">2 года назад</p></div><div style="--group-gap:var(--mantine-spacing-xs);--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="1.2" 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">Maksim Litvinov</p></div></div></div></div></div><style data-mantine-styles="inline">.__m__-_R_4bbdiub_{--carousel-slide-gap:var(--mantine-spacing-xs);--carousel-slide-size:70%;}@media(min-width: 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style="cursor:pointer;height:100%"><a style="text-decoration:none" class="mantine-focus-auto m_849cf0da m_b6d8b162 mantine-Text-root mantine-Anchor-root" data-underline="hover" href="/programs/data-analytics?promo_name=programs_list&promo_position=qna_question&promo_creative=catalog_card&promo_type=card" target="_blank"><div style="height:100%" class="m_e615b15f mantine-Card-root m_1b7284a3 mantine-Paper-root" data-with-border="true"><div style="--group-gap:calc(0.25rem * var(--mantine-scale));--group-align:center;--group-justify:flex-start;--group-wrap:nowrap" class="m_4081bf90 mantine-Group-root"><span style="font-size:var(--mantine-font-size-sm)" class="mantine-focus-auto m_b6d8b162 mantine-Text-root">7 месяцев</span><span class="mantine-focus-auto m_b6d8b162 mantine-Text-root">·</span><span style="font-size:var(--mantine-font-size-sm)" class="mantine-focus-auto m_b6d8b162 mantine-Text-root">С нуля</span></div><p 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