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Вот несколько способов, которые помогут вам убрать выбросы:\r\n\r\n1. Используйте стандартное отклонение (standard deviation) для определения выбросов. Вы можете удалить строки, в которых значение признака отклоняется более чем на несколько стандартных отклонений от среднего значения:\r\n\r\n```python\r\nmean = df['column_name'].mean()\r\nstd = df['column_name'].std()\r\nthreshold = 3\r\ndf = df[(df['column_name'] < mean + threshold * std) & (df['column_name'] > mean - threshold * std)]\r\n```\r\n\r\n2. Используйте квантили (quantiles) для определения выбросов. Вы можете установить пороговые значения для квартилей и удалить строки, значения которых находятся за пределами этих порогов:\r\n\r\n```python\r\nq_low = df['column_name'].quantile(0.25)\r\nq_hi = df['column_name'].quantile(0.75)\r\nq_range = q_hi - q_low\r\ndf = df[(df['column_name'] < q_hi + 1.5 * q_range) & (df['column_name'] > q_low - 1.5 * q_range)]\r\n```\r\n\r\n3. Используйте метод межквартильного размаха (interquartile range) для определения выбросов. Вы можете удалить строки, значения которых находятся за пределами интервала умноженного на коэффициент:\r\n\r\n```python\r\nq1 = df['column_name'].quantile(0.25)\r\nq3 = df['column_name'].quantile(0.75)\r\niqr = q3 - q1\r\ndf = df[(df['column_name'] < q3 + 1.5 * iqr) & (df['column_name'] > q1 - 1.5 * iqr)]\r\n```\r\n\r\nВыбор метода удаления выбросов зависит от особенностей ваших данных и контекста задачи. При выборе метода также важно учитывать возможные последствия удаления данных, так как это может повлиять на результаты анализа.","votes_up_count":0,"votes_down_count":0,"created_at":"2024-05-29T12:42:59.982Z","user_id":294764,"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 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Вот несколько способов, которые помогут вам убрать выбросы:\r\n\r\n1. Используйте стандартное отклонение (standard deviation) для определения выбросов. Вы можете удалить строки, в которых значение признака отклоняется более чем на несколько стандартных отклонений от среднего значения:\r\n\r\n```python\r\nmean = df['column_name'].mean()\r\nstd = df['column_name'].std()\r\nthreshold = 3\r\ndf = df[(df['column_name'] < mean + threshold * std) & (df['column_name'] > mean - threshold * std)]\r\n```\r\n\r\n2. Используйте квантили (quantiles) для определения выбросов. Вы можете установить пороговые значения для квартилей и удалить строки, значения которых находятся за пределами этих порогов:\r\n\r\n```python\r\nq_low = df['column_name'].quantile(0.25)\r\nq_hi = df['column_name'].quantile(0.75)\r\nq_range = q_hi - q_low\r\ndf = df[(df['column_name'] < q_hi + 1.5 * q_range) & (df['column_name'] > q_low - 1.5 * q_range)]\r\n```\r\n\r\n3. Используйте метод межквартильного размаха (interquartile range) для определения выбросов. Вы можете удалить строки, значения которых находятся за пределами интервала умноженного на коэффициент:\r\n\r\n```python\r\nq1 = df['column_name'].quantile(0.25)\r\nq3 = df['column_name'].quantile(0.75)\r\niqr = q3 - q1\r\ndf = df[(df['column_name'] < q3 + 1.5 * iqr) & (df['column_name'] > q1 - 1.5 * iqr)]\r\n```\r\n\r\nВыбор метода удаления выбросов зависит от особенностей ваших данных и контекста задачи. При выборе метода также важно учитывать возможные последствия удаления данных, так как это может повлиять на результаты анализа.","datePublished":"2024-05-29T12:42:59.982Z","upvoteCount":0,"author":{"@type":"Person","name":"Ivan Mamtsev"},"url":"https://ru.hexlet.io/qna/data-analytics/questions/kak-ubrat-vybrosy-pandas#answer-3792"}]}}</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 ответы"}},{"position":2,"@type":"ListItem","item":{"@id":"/qna/data-analytics/questions","name":"Аналитика данных"}},{"position":3,"@type":"ListItem","item":{"@id":"/qna/data-analytics/questions/kak-ubrat-vybrosy-pandas","name":"как убрать выбросы pandas\r"}}]}</script><div style="margin-bottom:var(--mantine-spacing-xs)" class="m_8b3717df mantine-Breadcrumbs-root"><a style="--text-fz:var(--mantine-font-size-sm);--text-lh:var(--mantine-line-height-sm);white-space:normal;color:inherit" class="mantine-focus-auto m_849cf0da m_f678d540 mantine-Breadcrumbs-breadcrumb m_b6d8b162 mantine-Text-root mantine-Anchor-root" data-size="sm" data-underline="hover" href="/"><div style="color:inherit" class="m_4451eb3a mantine-Center-root"><svg xmlns="http://www.w3.org/2000/svg" width="15" height="15" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="tabler-icon tabler-icon-home-link "><path d="M20.085 11.085l-8.085 -8.085l-9 9h2v7a2 2 0 0 0 2 2h4.5"></path><path d="M9 21v-6a2 2 0 0 1 2 -2h2a2 2 0 0 1 1.807 1.143"></path><path d="M20 21a1 1 0 1 0 2 0a1 1 0 1 0 -2 0"></path><path d="M20 16a1 1 0 1 0 2 0a1 1 0 1 0 -2 0"></path><path d="M15 19a1 1 0 1 0 2 0a1 1 0 1 0 -2 0"></path><path d="M21 16l-5 3l5 2"></path></svg></div></a><div class="m_3b8f2208 mantine-Breadcrumbs-separator">/</div><a style="--text-fz:var(--mantine-font-size-sm);--text-lh:var(--mantine-line-height-sm);white-space:normal;color:inherit" class="mantine-focus-auto m_849cf0da m_f678d540 mantine-Breadcrumbs-breadcrumb m_b6d8b162 mantine-Text-root mantine-Anchor-root" data-size="sm" data-underline="hover" href="/qna">Вопросы и ответы</a><div class="m_3b8f2208 mantine-Breadcrumbs-separator">/</div><a style="--text-fz:var(--mantine-font-size-sm);--text-lh:var(--mantine-line-height-sm);white-space:normal;color:inherit" class="mantine-focus-auto m_849cf0da m_f678d540 mantine-Breadcrumbs-breadcrumb m_b6d8b162 mantine-Text-root mantine-Anchor-root" data-size="sm" data-underline="hover" href="/qna/data-analytics/questions">Аналитика данных</a><div class="m_3b8f2208 mantine-Breadcrumbs-separator">/</div><p style="--text-fz:var(--mantine-font-size-sm);--text-lh:var(--mantine-line-height-sm);white-space:normal;color:var(--mantine-color-dimmed)" class="mantine-focus-auto m_f678d540 mantine-Breadcrumbs-breadcrumb m_b6d8b162 mantine-Text-root" data-size="sm">как убрать выбросы pandas
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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-3792"><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">0<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-ubrat-vybrosy-pandas/answers/3792/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><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 удаления выбросов в данных с помощью библиотеки pandas, можно использовать метод фильтрации исходного датафрейма. Вот несколько способов, которые помогут вам убрать выбросы:</p>
<ol>
<li>Используйте стандартное отклонение (standard deviation) для определения выбросов. Вы можете удалить строки, в которых значение признака отклоняется более чем на несколько стандартных отклонений от среднего значения:</li>
</ol>
<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">mean = df['column_name'].mean()
std = df['column_name'].std()
threshold = 3
df = df[(df['column_name'] < mean + threshold * std) & (df['column_name'] > mean - threshold * std)]</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>
<ol start="2">
<li>Используйте квантили (quantiles) для определения выбросов. Вы можете установить пороговые значения для квартилей и удалить строки, значения которых находятся за пределами этих порогов:</li>
</ol>
<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">q_low = df['column_name'].quantile(0.25)
q_hi = df['column_name'].quantile(0.75)
q_range = q_hi - q_low
df = df[(df['column_name'] < q_hi + 1.5 * q_range) & (df['column_name'] > q_low - 1.5 * q_range)]</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>
<ol start="3">
<li>Используйте метод межквартильного размаха (interquartile range) для определения выбросов. Вы можете удалить строки, значения которых находятся за пределами интервала умноженного на коэффициент:</li>
</ol>
<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">q1 = df['column_name'].quantile(0.25)
q3 = df['column_name'].quantile(0.75)
iqr = q3 - q1
df = df[(df['column_name'] < q3 + 1.5 * iqr) & (df['column_name'] > q1 - 1.5 * iqr)]</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>Выбор метода удаления выбросов зависит от особенностей ваших данных и контекста задачи. При выборе метода также важно учитывать возможные последствия удаления данных, так как это может повлиять на результаты анализа.</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">Ivan Mamtsev</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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