{"id":4553,"date":"2022-08-23T08:36:37","date_gmt":"2022-08-23T03:06:37","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-columns-and-rows-concatenation-with-a-commun-value-in-another-column\/"},"modified":"2022-08-23T08:36:37","modified_gmt":"2022-08-23T03:06:37","slug":"solved-columns-and-rows-concatenation-with-a-commun-value-in-another-column","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-columns-and-rows-concatenation-with-a-commun-value-in-another-column\/","title":{"rendered":"[Solved] Columns and rows concatenation with a commun value in another column"},"content":{"rendered":"<p> [ad_1]<br \/>\n<\/p>\n<div id=\"answer-51100825\" class=\"answer js-answer accepted-answer js-accepted-answer\" data-answerid=\"51100825\" data-parentid=\"51036566\" 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>You can use <code>groupby<\/code> and <code>join<\/code> to create the expected output. One way is to create a column <code>to_join<\/code> from the columns <code>Tri_gram_sents<\/code> and <code>Value<\/code>, and then <code>agg<\/code> this column:<\/p>\n<pre><code>df['to_join'] = df['Tri_gram_sents'] + ' ' + df['Value'].astype(str)\nser_output = df.groupby('sentence')['to_join'].agg(' '.join)\n<\/code><\/pre>\n<p>Or you can do everything in one line without create the column with <code>apply<\/code>:<\/p>\n<pre><code>ser_output = (df.groupby('sentence').apply(\n             lambda df_g: ' '.join(df_g['Tri_gram_sents']+' '+df_g['Value'].astype(str))))\n<\/code><\/pre>\n<p>and you get <code>ser_output<\/code>:<\/p>\n<pre><code>sentence\n1    (('&lt;s&gt;', '&lt;s&gt;'), 'ABC') 0.161681 (('&lt;s&gt;', 'ABC...\n2    (('&lt;s&gt;', '&lt;s&gt;'), 'DEF') 0.111111 (('&lt;s&gt;', 'DEF...\n...\n<\/code><\/pre>\n<p>where the first element looks as expected:<\/p>\n<pre><code>\"(('&lt;s&gt;', '&lt;s&gt;'), 'ABC') 0.161681 (('&lt;s&gt;', 'ABC'), 'ABC') 0.472973 (('ABC', 'ABC'), 'ABC') 0.305732 (('ABC', 'ABC'), 'ABC') 0.005655 (('ABC', 'ABC'), '&lt;\/s&gt;') 0.434783 (('ABC', '&lt;\/s&gt;'), '&lt;\/s&gt;') 0.008547\"\n<\/code><\/pre>\n<\/p><\/div>\n<div class=\"mt24\"><\/div>\n<\/div>\n<p>            <span class=\"d-none\" itemprop=\"commentCount\"><\/span> <\/p><\/div>\n<\/div>\n<p>[ad_2]<\/p>\n<p>solved Columns and rows concatenation with a commun value in another column <\/p>\n","protected":false},"excerpt":{"rendered":"<p>[ad_1] You can use groupby and join to create the expected output. One way is to create a column to_join from the columns Tri_gram_sents and Value, and then agg this column: df[&#8216;to_join&#8217;] = df[&#8216;Tri_gram_sents&#8217;] + &#8216; &#8216; + df[&#8216;Value&#8217;].astype(str) ser_output = df.groupby(&#8216;sentence&#8217;)[&#8216;to_join&#8217;].agg(&#8216; &#8216;.join) Or you can do everything in one line without create the column &#8230; <a title=\"[Solved] Columns and rows concatenation with a commun value in another column\" class=\"read-more\" href=\"https:\/\/jassweb.com\/solved\/solved-columns-and-rows-concatenation-with-a-commun-value-in-another-column\/\" aria-label=\"More on [Solved] Columns and rows concatenation with a commun value in another column\">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":[415,928,349],"class_list":["post-4553","post","type-post","status-publish","format-standard","hentry","category-solved","tag-pandas","tag-pandas-groupby","tag-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>[Solved] Columns and rows concatenation with a commun value in another column - 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-columns-and-rows-concatenation-with-a-commun-value-in-another-column\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Columns and rows concatenation with a commun value in another column - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] You can use groupby and join to create the expected output. One way is to create a column to_join from the columns Tri_gram_sents and Value, and then agg this column: df[&#039;to_join&#039;] = df[&#039;Tri_gram_sents&#039;] + &#039; &#039; + df[&#039;Value&#039;].astype(str) ser_output = df.groupby(&#039;sentence&#039;)[&#039;to_join&#039;].agg(&#039; &#039;.join) Or you can do everything in one line without create the column ... 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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-columns-and-rows-concatenation-with-a-commun-value-in-another-column\/","og_locale":"en_US","og_type":"article","og_title":"[Solved] Columns and rows concatenation with a commun value in another column - JassWeb","og_description":"[ad_1] You can use groupby and join to create the expected output. One way is to create a column to_join from the columns Tri_gram_sents and Value, and then agg this column: df['to_join'] = df['Tri_gram_sents'] + ' ' + df['Value'].astype(str) ser_output = df.groupby('sentence')['to_join'].agg(' '.join) Or you can do everything in one line without create the column ... 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