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данных","slug":"data_analytics","short_name":"Аналитика","order":3,"state":"published","category_slug":"courses_data_analytics"},"answerDto":{"id":null,"body":"","meta":{"model":"question_answer","relations":{}}},"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":2909,"answers_count":1,"slug":"kak-razdelit-stolbtsy-pandas","state":"published","title":"как разделить столбцы pandas\r","created_at":"2023-03-29T12:39:47.471Z","details":null,"best_answer_id":4022,"related_stacks_count":5},"answers":[{"user":{"id":548102,"email":"h.bright@yandex.ru","first_name":"Elena","last_name":"Gromova","telegram":"h_bright","full_name":"Elena Gromova","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":2909,"answers_count":1,"slug":"kak-razdelit-stolbtsy-pandas","state":"published","title":"как разделить столбцы pandas\r","created_at":"2023-03-29T12:39:47.471Z","details":null,"best_answer_id":4022,"related_stacks_count":5},"id":4022,"state":"active","body":"Для разделения столбцов в объекте DataFrame библиотеки pandas можно использовать методы .iloc[] или .loc[].\r\n\r\nНапример, для разделения столбцов с индексами от 0 до 2 можно использовать следующий код:\r\n\r\n```python\r\nimport pandas as pd\r\n\r\ndata = {'A': [1, 2, 3],\r\n 'B': [4, 5, 6],\r\n 'C': [7, 8, 9]}\r\n\r\ndf = pd.DataFrame(data)\r\n\r\n# разделение столбцов с помощью метода iloc[]\r\ndf_subset = df.iloc[:, 0:2]\r\n\r\n# разделение столбцов с помощью метода loc[]\r\ndf_subset = df.loc[:, 'A':'B']\r\n```\r\n\r\nТаким образом, в переменной df_subset будет содержаться DataFrame с двумя первыми столбцами из исходного DataFrame df.\r\n\r\nТакже можно разделить столбцы по названиям с помощью следующего кода:\r\n\r\n```python\r\n# разделение столбцов по названиям\r\ndf_subset = df[['A', 'C']]\r\n```\r\n\r\nЭтот код создаст новый DataFrame df_subset, содержащий только столбцы 'A' и 'C' из исходного DataFrame df.\r\n\r\nТаким образом, существует несколько способов разделения столбцов в объекте DataFrame библиотеки pandas, в зависимости от ваших потребностей и предпочтений.","votes_up_count":0,"votes_down_count":0,"created_at":"2024-07-10T10:20:47.738Z","user_id":548102,"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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помощью метода loc[]\r\ndf_subset = df.loc[:, 'A':'B']\r\n```\r\n\r\nТаким образом, в переменной df_subset будет содержаться DataFrame с двумя первыми столбцами из исходного DataFrame df.\r\n\r\nТакже можно разделить столбцы по названиям с помощью следующего кода:\r\n\r\n```python\r\n# разделение столбцов по названиям\r\ndf_subset = df[['A', 'C']]\r\n```\r\n\r\nЭтот код создаст новый DataFrame df_subset, содержащий только столбцы 'A' и 'C' из исходного DataFrame df.\r\n\r\nТаким образом, существует несколько способов разделения столбцов в объекте DataFrame библиотеки pandas, в зависимости от ваших потребностей и предпочтений.","datePublished":"2024-07-10T10:20:47.738Z","upvoteCount":0,"author":{"@type":"Person","name":"Elena Gromova"},"url":"https://ru.hexlet.io/qna/data-analytics/questions/kak-razdelit-stolbtsy-pandas#answer-4022"}}}</script><div style="--container-size:var(--container-size-lg);margin-top:var(--mantine-spacing-xl);height:100%" class="m_7485cace mantine-Container-root" 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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-4022"><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-razdelit-stolbtsy-pandas/answers/4022/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>Для разделения столбцов в объекте DataFrame библиотеки pandas можно использовать методы .iloc[] или .loc[].</p>
<p>Например, для разделения столбцов с индексами от 0 до 2 можно использовать следующий код:</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 = {'A': [1, 2, 3],
'B': [4, 5, 6],
'C': [7, 8, 9]}
df = pd.DataFrame(data)
# разделение столбцов с помощью метода iloc[]
df_subset = df.iloc[:, 0:2]
# разделение столбцов с помощью метода loc[]
df_subset = df.loc[:, 'A':'B']</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>Таким образом, в переменной df_subset будет содержаться DataFrame с двумя первыми столбцами из исходного DataFrame df.</p>
<p>Также можно разделить столбцы по названиям с помощью следующего кода:</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"># разделение столбцов по названиям
df_subset = df[['A', 'C']]</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 создаст новый DataFrame df_subset, содержащий только столбцы 'A' и 'C' из исходного DataFrame df.</p>
<p>Таким образом, существует несколько способов разделения столбцов в объекте DataFrame библиотеки pandas, в зависимости от ваших потребностей и предпочтений.</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 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