{"id":26090,"date":"2022-12-15T11:50:28","date_gmt":"2022-12-15T06:20:28","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-add-a-new-column-with-the-list-of-values-from-all-rows-meeting-a-criterion\/"},"modified":"2022-12-15T11:50:28","modified_gmt":"2022-12-15T06:20:28","slug":"solved-add-a-new-column-with-the-list-of-values-from-all-rows-meeting-a-criterion","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-add-a-new-column-with-the-list-of-values-from-all-rows-meeting-a-criterion\/","title":{"rendered":"[Solved] Add a new column with the list of values from all rows meeting a criterion"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"answer-44450257\" class=\"answer js-answer accepted-answer js-accepted-answer\" data-answerid=\"44450257\" data-parentid=\"44447151\" data-score=\"1\" data-position-on-page=\"1\" data-highest-scored=\"1\" data-question-has-accepted-highest-score=\"1\" itemprop=\"acceptedAnswer\" itemscope itemtype=\"https:\/\/schema.org\/Answer\">\n<div class=\"post-layout\">\n<div class=\"votecell post-layout--left\"><\/div>\n<div class=\"answercell post-layout--right\">\n<div class=\"s-prose js-post-body\" itemprop=\"text\">\n<p>Something like this should work&#8230;<\/p>\n<pre><code>df = pd.DataFrame({'date': ['2017-01-01 01:01:01', '2017-01-02 01:01:01', '2017-01-03 01:01:01', '2017-01-30 01:01:01', '2017-01-31 01:01:01'],\n                   'value': [99,98,97,95,94]})\n\ndf['date'] = pd.to_datetime(df['date'])\n\ndef get_list(row):\n\n   subset = df[(row['date'] - df['date'] &lt;= pd.to_timedelta('5 days')) &amp; (row['date'] - df['date'] &gt;= pd.to_timedelta('0 days'))]\n   return str(subset['value'].tolist())\n\ndf['list'] = df.apply(get_list, axis=1)\n<\/code><\/pre>\n<p><strong>Output:<\/strong> <\/p>\n<pre><code>              date  value          list\n0 2017-01-01 01:01:01     99          [99]\n1 2017-01-02 01:01:01     98      [99, 98]\n2 2017-01-03 01:01:01     97  [99, 98, 97]\n3 2017-01-30 01:01:01     95          [95]\n4 2017-01-31 01:01:01     94      [95, 94]\n<\/code><\/pre>\n<\/p><\/div>\n<div class=\"mt24\"><\/div>\n<\/div>\n<p>            <span class=\"d-none\" itemprop=\"commentCount\">2<\/span> <\/p><\/div>\n<\/div>\n<p>[ad_2]<\/p>\n<p>solved Add a new column with the list of values from all rows meeting a criterion <\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] Something like this should work&#8230; df = pd.DataFrame({&#8216;date&#8217;: [&#8216;2017-01-01 01:01:01&#8217;, &#8216;2017-01-02 01:01:01&#8217;, &#8216;2017-01-03 01:01:01&#8217;, &#8216;2017-01-30 01:01:01&#8217;, &#8216;2017-01-31 01:01:01&#8217;], &#8216;value&#8217;: [99,98,97,95,94]}) df[&#8216;date&#8217;] = pd.to_datetime(df[&#8216;date&#8217;]) def get_list(row): subset = df[(row[&#8216;date&#8217;] &#8211; df[&#8216;date&#8217;] &lt;= pd.to_timedelta(&#8216;5 days&#8217;)) &amp; (row[&#8216;date&#8217;] &#8211; df[&#8216;date&#8217;] &gt;= pd.to_timedelta(&#8216;0 days&#8217;))] return str(subset[&#8216;value&#8217;].tolist()) df[&#8216;list&#8217;] = df.apply(get_list, axis=1) Output: date value list 0 2017-01-01 01:01:01 99 &#8230; <a title=\"[Solved] Add a new column with the list of values from all rows meeting a criterion\" class=\"read-more\" href=\"https:\/\/jassweb.com\/solved\/solved-add-a-new-column-with-the-list-of-values-from-all-rows-meeting-a-criterion\/\" aria-label=\"More on [Solved] Add a new column with the list of values from all rows meeting a criterion\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[581,415,349],"class_list":["post-26090","post","type-post","status-publish","format-standard","hentry","category-solved","tag-numpy","tag-pandas","tag-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>[Solved] Add a new column with the list of values from all rows meeting a criterion - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-add-a-new-column-with-the-list-of-values-from-all-rows-meeting-a-criterion\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Add a new column with the list of values from all rows meeting a criterion - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] Something like this should work&#8230; df = pd.DataFrame({&#039;date&#039;: [&#039;2017-01-01 01:01:01&#039;, &#039;2017-01-02 01:01:01&#039;, &#039;2017-01-03 01:01:01&#039;, &#039;2017-01-30 01:01:01&#039;, &#039;2017-01-31 01:01:01&#039;], &#039;value&#039;: [99,98,97,95,94]}) df[&#039;date&#039;] = pd.to_datetime(df[&#039;date&#039;]) def get_list(row): subset = df[(row[&#039;date&#039;] - df[&#039;date&#039;] &lt;= pd.to_timedelta(&#039;5 days&#039;)) &amp; (row[&#039;date&#039;] - df[&#039;date&#039;] &gt;= pd.to_timedelta(&#039;0 days&#039;))] return str(subset[&#039;value&#039;].tolist()) df[&#039;list&#039;] = df.apply(get_list, axis=1) Output: date value list 0 2017-01-01 01:01:01 99 ... 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JassWeb","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/jassweb.com\/solved\/solved-add-a-new-column-with-the-list-of-values-from-all-rows-meeting-a-criterion\/","og_locale":"en_US","og_type":"article","og_title":"[Solved] Add a new column with the list of values from all rows meeting a criterion - JassWeb","og_description":"[ad_1] Something like this should work&#8230; df = pd.DataFrame({'date': ['2017-01-01 01:01:01', '2017-01-02 01:01:01', '2017-01-03 01:01:01', '2017-01-30 01:01:01', '2017-01-31 01:01:01'], 'value': [99,98,97,95,94]}) df['date'] = pd.to_datetime(df['date']) def get_list(row): subset = df[(row['date'] - df['date'] &lt;= pd.to_timedelta('5 days')) &amp; (row['date'] - df['date'] &gt;= pd.to_timedelta('0 days'))] return str(subset['value'].tolist()) df['list'] = df.apply(get_list, axis=1) Output: date value list 0 2017-01-01 01:01:01 99 ... 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