{"id":15510,"date":"2024-01-13T08:23:13","date_gmt":"2024-01-13T04:53:13","guid":{"rendered":"https:\/\/rasanegar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%af%d8%ba%d8%a7%d9%85-dataframes-%d8%af%d8%b1-pandas-merge%d8%8c-join%d8%8c-append%d8%8c-concat-%d9%88-update\/"},"modified":"2024-01-13T08:23:13","modified_gmt":"2024-01-13T04:53:13","slug":"%d8%b1%d9%88%d8%b4-%d8%a7%d8%af%d8%ba%d8%a7%d9%85-dataframes-%d8%af%d8%b1-pandas-merge%d8%8c-join%d8%8c-append%d8%8c-concat-%d9%88-update","status":"publish","type":"post","link":"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%af%d8%ba%d8%a7%d9%85-dataframes-%d8%af%d8%b1-pandas-merge%d8%8c-join%d8%8c-append%d8%8c-concat-%d9%88-update\/","title":{"rendered":"\u0631\u0648\u0634 \u0627\u062f\u063a\u0627\u0645 DataFrames \u062f\u0631 Pandas &#8211; merge()\u060c join()\u060c append()\u060c concat() \u0648 update()"},"content":{"rendered":"<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_85 counter-hierarchy ez-toc-counter ez-toc-custom ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">\u0633\u0631\u0641\u0635\u0644\u0647\u0627\u06cc \u0645\u0637\u0644\u0628<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%af%d8%ba%d8%a7%d9%85-dataframes-%d8%af%d8%b1-pandas-merge%d8%8c-join%d8%8c-append%d8%8c-concat-%d9%88-update\/#%d9%85%d8%b9%d8%b1%d9%81%db%8c\" >\u0645\u0639\u0631\u0641\u06cc<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%af%d8%ba%d8%a7%d9%85-dataframes-%d8%af%d8%b1-pandas-merge%d8%8c-join%d8%8c-append%d8%8c-concat-%d9%88-update\/#%d8%a7%d8%af%d8%ba%d8%a7%d9%85_dataframes_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_%d8%a7%d8%af%d8%ba%d8%a7%d9%85\" >\u0627\u062f\u063a\u0627\u0645 DataFrames \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0627\u062f\u063a\u0627\u0645()<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%af%d8%ba%d8%a7%d9%85-dataframes-%d8%af%d8%b1-pandas-merge%d8%8c-join%d8%8c-append%d8%8c-concat-%d9%88-update\/#%d8%a7%d8%af%d8%ba%d8%a7%d9%85_dataframes_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_%d9%be%db%8c%d9%88%d8%b3%d8%aa%d9%86\" >\u0627\u062f\u063a\u0627\u0645 DataFrames \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u067e\u06cc\u0648\u0633\u062a\u0646()<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%af%d8%ba%d8%a7%d9%85-dataframes-%d8%af%d8%b1-pandas-merge%d8%8c-join%d8%8c-append%d8%8c-concat-%d9%88-update\/#%d8%a7%d8%af%d8%ba%d8%a7%d9%85_dataframes_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_%d8%b6%d9%85%db%8c%d9%85%d9%87\" >\u0627\u062f\u063a\u0627\u0645 DataFrames \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0636\u0645\u06cc\u0645\u0647 ()<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%af%d8%ba%d8%a7%d9%85-dataframes-%d8%af%d8%b1-pandas-merge%d8%8c-join%d8%8c-append%d8%8c-concat-%d9%88-update\/#%d8%a7%d8%af%d8%ba%d8%a7%d9%85_dataframes_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_concat\" >\u0627\u062f\u063a\u0627\u0645 DataFrames \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 concat()<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%af%d8%ba%d8%a7%d9%85-dataframes-%d8%af%d8%b1-pandas-merge%d8%8c-join%d8%8c-append%d8%8c-concat-%d9%88-update\/#%d8%a7%d8%af%d8%ba%d8%a7%d9%85_dataframes_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_combination_first_%d9%88_%d8%a8%d9%87_%d8%b1%d9%88%d8%b2_%d8%b1%d8%b3%d8%a7%d9%86%db%8c\" >\u0627\u062f\u063a\u0627\u0645 DataFrames \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 combination_first() \u0648 \u0628\u0647 \u0631\u0648\u0632 \u0631\u0633\u0627\u0646\u06cc()<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/rasanegaar.com\/blog\/%d8%b1%d9%88%d8%b4-%d8%a7%d8%af%d8%ba%d8%a7%d9%85-dataframes-%d8%af%d8%b1-pandas-merge%d8%8c-join%d8%8c-append%d8%8c-concat-%d9%88-update\/#%d9%86%d8%aa%db%8c%d8%ac%d9%87\" >\u0646\u062a\u06cc\u062c\u0647<\/a><\/li><\/ul><\/nav><\/div>\n<span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 11<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span><p> <br \/>\n<\/p>\n<div><noscript><\/noscript><\/p>\n<h2 id=\"introduction\"><span class=\"ez-toc-section\" id=\"%d9%85%d8%b9%d8%b1%d9%81%db%8c\"><\/span>\u0645\u0639\u0631\u0641\u06cc<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Pandas \u0637\u06cc\u0641 \u0648\u0633\u06cc\u0639\u06cc \u0627\u0632 \u0631\u0648\u0634 \u0647\u0627 \u0648 \u0639\u0645\u0644\u06a9\u0631\u062f\u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0632 \u062c\u0645\u0644\u0647 \u0627\u062f\u063a\u0627\u0645 DataFrames \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f.  \u0627\u062f\u063a\u0627\u0645 DataFrames \u0628\u0647 \u0634\u0645\u0627 \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0631\u0627 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0647\u0645 \u0628\u062f\u0648\u0646 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u0646\u0628\u0639 \u062f\u0627\u062f\u0647 \u0627\u0635\u0644\u06cc \u06cc\u06a9 DataFrame \u062c\u062f\u06cc\u062f \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f \u0648 \u0647\u0645 \u0645\u0646\u0628\u0639 \u062f\u0627\u062f\u0647 \u0627\u0635\u0644\u06cc \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f.<\/p>\n<p>\u0627\u06af\u0631 \u0628\u0627 SQL \u06cc\u0627 \u0646\u0648\u0639 \u0645\u0634\u0627\u0628\u0647\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062c\u062f\u0648\u0644\u06cc \u0622\u0634\u0646\u0627 \u0647\u0633\u062a\u06cc\u062f\u060c \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u0628\u0627 \u0627\u06cc\u0646 \u0627\u0635\u0637\u0644\u0627\u062d \u0622\u0634\u0646\u0627 \u0647\u0633\u062a\u06cc\u062f <code>join<\/code>\u060c \u06a9\u0647 \u0628\u0647 \u0645\u0639\u0646\u0627\u06cc \u062a\u0631\u06a9\u06cc\u0628 DataFrame \u0628\u0631\u0627\u06cc \u062a\u0634\u06a9\u06cc\u0644 \u06cc\u06a9 DataFrame \u062c\u062f\u06cc\u062f \u0627\u0633\u062a.  \u0627\u06af\u0631 \u0645\u0628\u062a\u062f\u06cc \u0647\u0633\u062a\u06cc\u062f\u060c \u062f\u0631\u06a9 \u06a9\u0627\u0645\u0644 \u0627\u0646\u0648\u0627\u0639 \u067e\u06cc\u0648\u0633\u062a\u0646 \u0633\u062e\u062a \u0627\u0633\u062a (<em>\u062f\u0631\u0648\u0646\u06cc\u060c \u0628\u06cc\u0631\u0648\u0646\u06cc\u060c \u0686\u067e\u060c \u0631\u0627\u0633\u062a<\/em>).  \u062f\u0631 \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0627\u0646\u0648\u0627\u0639 \u0627\u062a\u0635\u0627\u0644\u0627\u062a \u0631\u0627 \u0628\u0627 \u0645\u062b\u0627\u0644 \u0647\u0627\u06cc\u06cc \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u062a\u0645\u0631\u06a9\u0632 \u0627\u0635\u0644\u06cc \u0645\u0627 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f \u0631\u0648\u06cc \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>merge()<\/code> \u0648 <code>concat()<\/code> \u06a9\u0627\u0631\u06a9\u0631\u062f.  \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0631\u0648\u0634\u200c\u0647\u0627\u06cc \u0627\u062f\u063a\u0627\u0645 \u062f\u06cc\u06af\u0631 \u0631\u0627 \u0645\u0648\u0631\u062f \u0628\u062d\u062b \u0642\u0631\u0627\u0631 \u0645\u06cc\u200c\u062f\u0647\u06cc\u0645 \u062a\u0627 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u062a\u0627 \u062d\u062f \u0627\u0645\u06a9\u0627\u0646 \u0628\u0647 \u0634\u0645\u0627 \u0627\u0631\u0627\u0626\u0647 \u062f\u0647\u06cc\u0645.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0622\u0645\u0648\u0632\u0634 \u0627\u0632 \u0646\u0633\u062e\u0647 \u067e\u0627\u0646\u062f\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <em>1.1.4<\/em> \u0648 \u0646\u0633\u062e\u0647 NumPy <em>1.19.4<\/em>.<\/p>\n<h2 id=\"mergedataframesusingmerge\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%af%d8%ba%d8%a7%d9%85_dataframes_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_%d8%a7%d8%af%d8%ba%d8%a7%d9%85\"><\/span>\u0627\u062f\u063a\u0627\u0645 DataFrames \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <em>\u0627\u062f\u063a\u0627\u0645()<\/em><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0627 \u062a\u0646\u0638\u06cc\u0645 DataFrames \u062e\u0648\u062f \u0634\u0631\u0648\u0639 \u06a9\u0646\u06cc\u0645\u060c \u06a9\u0647 \u0628\u0631\u0627\u06cc \u0628\u0642\u06cc\u0647 \u0622\u0645\u0648\u0632\u0634 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.<\/p>\n<p><code>df1<\/code>  \u0634\u0627\u0645\u0644 \u0644\u06cc\u0633\u062a \u06a9\u0627\u0631\u0628\u0631\u0627\u0646 \u062e\u06cc\u0627\u0644\u06cc \u0645\u0627 \u0628\u0627 \u0646\u0627\u0645\u060c \u0627\u06cc\u0645\u06cc\u0644 \u0648 \u0634\u0646\u0627\u0633\u0647 \u0645\u06cc \u0634\u0648\u062f.<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> pandas <span class=\"hljs-keyword\">as<\/span> pd\n\ndf1 = pd.DataFrame({<span class=\"hljs-string\">'user_id'<\/span>: (<span class=\"hljs-string\">'id001'<\/span>, <span class=\"hljs-string\">'id002'<\/span>, <span class=\"hljs-string\">'id003'<\/span>, <span class=\"hljs-string\">'id004'<\/span>, <span class=\"hljs-string\">'id005'<\/span>, <span class=\"hljs-string\">'id006'<\/span>, <span class=\"hljs-string\">'id007'<\/span>),\n                    <span class=\"hljs-string\">'first_name'<\/span>: (<span class=\"hljs-string\">'Rivi'<\/span>, <span class=\"hljs-string\">'Wynnie'<\/span>, <span class=\"hljs-string\">'Kristos'<\/span>, <span class=\"hljs-string\">'Madalyn'<\/span>, <span class=\"hljs-string\">'Tobe'<\/span>, <span class=\"hljs-string\">'Regan'<\/span>, <span class=\"hljs-string\">'Kristin'<\/span>),\n                    <span class=\"hljs-string\">'last_name'<\/span>: (<span class=\"hljs-string\">'Valti'<\/span>, <span class=\"hljs-string\">'McMurty'<\/span>, <span class=\"hljs-string\">'Ivanets'<\/span>, <span class=\"hljs-string\">'Max'<\/span>, <span class=\"hljs-string\">'Riddich'<\/span>, <span class=\"hljs-string\">'Huyghe'<\/span>, <span class=\"hljs-string\">'Illis'<\/span>),\n                    <span class=\"hljs-string\">'email'<\/span>: (<span class=\"hljs-string\">'(email\u00a0protected)'<\/span>, <span class=\"hljs-string\">'(email\u00a0protected)'<\/span>, <span class=\"hljs-string\">'(email\u00a0protected)'<\/span>,\n                              <span class=\"hljs-string\">'(email\u00a0protected)'<\/span>, <span class=\"hljs-string\">'(email\u00a0protected)'<\/span>, <span class=\"hljs-string\">'(email\u00a0protected)'<\/span>, <span class=\"hljs-string\">'(email\u00a0protected)'<\/span>)\n                    })\n<\/code><\/pre>\n<p>\u0647\u0646\u06af\u0627\u0645 \u0637\u0631\u0627\u062d\u06cc \u067e\u0627\u06cc\u06af\u0627\u0647 \u062f\u0627\u062f\u0647\u060c \u062d\u0641\u0638 \u062a\u0646\u0638\u06cc\u0645\u0627\u062a \u067e\u0631\u0648\u0641\u0627\u06cc\u0644 (\u0645\u0627\u0646\u0646\u062f \u0631\u0646\u06af \u067e\u0633\u200c\u0632\u0645\u06cc\u0646\u0647\u060c \u067e\u06cc\u0648\u0646\u062f \u062a\u0635\u0648\u06cc\u0631 \u0622\u0648\u0627\u062a\u0627\u0631\u060c \u0627\u0646\u062f\u0627\u0632\u0647 \u0642\u0644\u0645 \u0648 \u063a\u06cc\u0631\u0647) \u062f\u0631 \u062c\u062f\u0648\u0644\u06cc \u062c\u062f\u0627\u06af\u0627\u0646\u0647 \u0627\u0632 \u062f\u0627\u062f\u0647\u200c\u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631 (\u0627\u06cc\u0645\u06cc\u0644\u060c \u062a\u0627\u0631\u06cc\u062e \u0627\u0636\u0627\u0641\u0647\u200c\u0634\u062f\u0647 \u0648 \u063a\u06cc\u0631\u0647) \u0639\u0645\u0644 \u062e\u0648\u0628\u06cc \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f.  \u0633\u067e\u0633 \u0627\u06cc\u0646 \u062c\u062f\u0627\u0648\u0644 \u0645\u06cc \u062a\u0648\u0627\u0646\u0646\u062f \u06cc\u06a9 \u0631\u0627\u0628\u0637\u0647 \u06cc\u06a9 \u0628\u0647 \u06cc\u06a9 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0646\u062f.<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0634\u0628\u06cc\u0647 \u0633\u0627\u0632\u06cc \u0627\u06cc\u0646 \u0633\u0646\u0627\u0631\u06cc\u0648 \u0628\u0627 \u0627\u06cc\u062c\u0627\u062f \u0647\u0645\u06cc\u0646 \u06a9\u0627\u0631 \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u062f <code>df2<\/code> \u0628\u0627 URL \u0647\u0627\u06cc \u062a\u0635\u0648\u06cc\u0631 \u0648 \u0634\u0646\u0627\u0633\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u06cc:<\/p>\n<pre><code class=\"hljs\">\ndf2 = pd.DataFrame({<span class=\"hljs-string\">'user_id'<\/span>: (<span class=\"hljs-string\">'id001'<\/span>, <span class=\"hljs-string\">'id002'<\/span>, <span class=\"hljs-string\">'id003'<\/span>, <span class=\"hljs-string\">'id004'<\/span>, <span class=\"hljs-string\">'id005'<\/span>),\n                    <span class=\"hljs-string\">'image_url'<\/span>: (<span class=\"hljs-string\">'http:\/\/example.com\/img\/id001.png'<\/span>, <span class=\"hljs-string\">'http:\/\/example.com\/img\/id002.jpg'<\/span>,\n                                  <span class=\"hljs-string\">'http:\/\/example.com\/img\/id003.bmp'<\/span>, <span class=\"hljs-string\">'http:\/\/example.com\/img\/id004.jpg'<\/span>,\n                                  <span class=\"hljs-string\">'http:\/\/example.com\/img\/id005.png'<\/span>)\n                    })\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0631\u0648\u0634 \u0634\u06a9\u0644 \u06af\u06cc\u0631\u06cc DataFrame \u0645\u0627 \u0622\u0645\u062f\u0647 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\"># df1\n  user_id first_name last_name                  email\n0   id001       Rivi     Valti    (email\u00a0protected)\n1   id002     Wynnie   McMurty  (email\u00a0protected)\n2   id003    Kristos   Ivanets  (email\u00a0protected)\n3   id004    Madalyn       Max      (email\u00a0protected)\n4   id005       Tobe   Riddich  (email\u00a0protected)\n5   id006      Regan    Huyghe    (email\u00a0protected)\n6   id007    Kristin     Illis    (email\u00a0protected)\n\n#df2\n  user_id                         image_url\n0   id001  http:\/\/example.com\/img\/id001.png\n1   id002  http:\/\/example.com\/img\/id002.jpg\n2   id003  http:\/\/example.com\/img\/id003.bmp\n3   id004  http:\/\/example.com\/img\/id004.jpg\n4   id005  http:\/\/example.com\/img\/id005.png\n<\/code><\/pre>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u06cc\u0646 DataFrames \u0631\u0627 \u0628\u0627 \u0647\u0645 \u062a\u0631\u06a9\u06cc\u0628 \u06a9\u0646\u06cc\u0645 <code>merge()<\/code> \u062a\u0627\u0628\u0639.  \u0627\u0628\u062a\u062f\u0627 \u0628\u0647 \u062a\u0645\u0627\u0645 \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u06cc\u0646 \u062a\u0627\u0628\u0639 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u062f\u0631 \u06cc\u06a9 \u0646\u06af\u0627\u0647 \u0628\u067e\u0630\u06cc\u0631\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">pd.merge(left, right, how=<span class=\"hljs-string\">'inner'<\/span>, \u0631\u0648\u06cc=<span class=\"hljs-literal\">None<\/span>, left_on=<span class=\"hljs-literal\">None<\/span>, right_on=<span class=\"hljs-literal\">None<\/span>,\n         left_index=<span class=\"hljs-literal\">False<\/span>, right_index=<span class=\"hljs-literal\">False<\/span>, sort=<span class=\"hljs-literal\">True<\/span>,\n         suffixes=(<span class=\"hljs-string\">'_x'<\/span>, <span class=\"hljs-string\">'_y'<\/span>), copy=<span class=\"hljs-literal\">True<\/span>, indicator=<span class=\"hljs-literal\">False<\/span>,\n         validate=<span class=\"hljs-literal\">None<\/span>)\n<\/code><\/pre>\n<p>\u0627\u06a9\u062b\u0631 \u0627\u06cc\u0646 \u06af\u0632\u06cc\u0646\u0647 \u0647\u0627 \u062f\u0627\u0631\u0627\u06cc \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0647\u0633\u062a\u0646\u062f \u0628\u0647 \u062c\u0632 \u0645\u0642\u062f\u0627\u0631 <strong>\u062a\u0631\u06a9 \u06a9\u0631\u062f<\/strong> \u0648 <strong>\u062f\u0631\u0633\u062a<\/strong>.  \u0627\u06cc\u0646 \u062f\u0648 \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0646\u0627\u0645 DataFrames \u0647\u0633\u062a\u0646\u062f \u06a9\u0647 \u0627\u062f\u063a\u0627\u0645 \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0631\u062f.  \u062e\u0648\u062f \u062a\u0627\u0628\u0639 \u06cc\u06a9 DataFrame \u062c\u062f\u06cc\u062f \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f \u06a9\u0647 \u0645\u0627 \u062f\u0631 \u0622\u0646 \u0630\u062e\u06cc\u0631\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>df3_merged<\/code> \u0645\u062a\u063a\u06cc\u0631.<\/p>\n<p>\u06a9\u062f \u0632\u06cc\u0631 \u0631\u0627 \u062f\u0631 \u067e\u0648\u0633\u062a\u0647 \u067e\u0627\u06cc\u062a\u0648\u0646 \u062e\u0648\u062f \u0648\u0627\u0631\u062f \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">df3_merged = pd.merge(df1, df2)\n<\/code><\/pre>\n<p>\u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u0647\u0631 \u062f\u0648 DataFrame \u0645\u0627 \u062f\u0627\u0631\u0627\u06cc \u0633\u062a\u0648\u0646 \u0647\u0633\u062a\u0646\u062f <code>user_id<\/code> \u0628\u0627 \u0647\u0645\u06cc\u0646 \u0646\u0627\u0645\u060c <code>merge()<\/code> \u062a\u0627\u0628\u0639 \u0628\u0647 \u0637\u0648\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0628\u0647 \u062f\u0648 \u062c\u062f\u0648\u0644 \u0645\u0637\u0627\u0628\u0642\u062a \u0645\u06cc \u067e\u06cc\u0648\u0646\u062f\u062f \u0631\u0648\u06cc \u0622\u0646 \u06a9\u0644\u06cc\u062f  \u0627\u06af\u0631 \u062f\u0648 \u0633\u062a\u0648\u0646 \u0628\u0627 \u0646\u0627\u0645 \u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u062f\u0627\u0634\u062a\u06cc\u0645\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u0633\u062a\u06cc\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>left_on='left_column_name'<\/code> \u0648 <code>right_on='right_column_name'<\/code> \u0628\u0631\u0627\u06cc \u062a\u0639\u06cc\u06cc\u0646 \u06a9\u0644\u06cc\u062f\u0647\u0627 \u0631\u0648\u06cc \u0647\u0631 \u062f\u0648 DataFrame \u0628\u0647 \u0635\u0631\u0627\u062d\u062a.<\/p>\n<p>\u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f print \u0631\u0627 <code>df3_merged<\/code> \u0645\u062a\u063a\u06cc\u0631 \u0628\u0631\u0627\u06cc \u062f\u06cc\u062f\u0646 \u0645\u062d\u062a\u0648\u06cc\u0627\u062a \u0622\u0646:<\/p>\n<pre><code class=\"hljs\">  user_id first_name last_name                  email                         image_url\n0   id001       Rivi     Valti    (email\u00a0protected)  http:\/\/example.com\/img\/id001.png\n1   id002     Wynnie   McMurty  (email\u00a0protected)  http:\/\/example.com\/img\/id002.jpg\n2   id003    Kristos   Ivanets  (email\u00a0protected)  http:\/\/example.com\/img\/id003.bmp\n3   id004    Madalyn       Max      (email\u00a0protected)  http:\/\/example.com\/img\/id004.jpg\n4   id005       Tobe   Riddich  (email\u00a0protected)  http:\/\/example.com\/img\/id005.png\n<\/code><\/pre>\n<p>\u0645\u062a\u0648\u062c\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f \u06a9\u0647 <code>df3_merged<\/code> \u062f\u0627\u0631\u0627\u06cc \u062a\u0646\u0647\u0627 5 \u0631\u062f\u06cc\u0641 \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0627\u0635\u0644\u06cc \u0627\u0633\u062a <code>df1<\/code> 7. \u0686\u0631\u0627 \u0627\u06cc\u0646\u0637\u0648\u0631 \u0627\u0633\u062a\u061f<\/p>\n<p>\u0647\u0646\u06af\u0627\u0645\u06cc \u06a9\u0647 \u0645\u0642\u062f\u0627\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0627\u0632 <code>how<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a <code>inner<\/code>\u060c \u06cc\u06a9 DataFrame \u062c\u062f\u06cc\u062f \u0627\u0632 <em>\u062a\u0642\u0627\u0637\u0639<\/em> \u0627\u0632 \u062f\u06cc\u062a\u0627 \u0641\u0631\u06cc\u0645 \u0647\u0627\u06cc \u0686\u067e \u0648 \u0631\u0627\u0633\u062a.  \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646\u060c \u0627\u06af\u0631 \u0627\u0644\u0641 <code>user_id<\/code> \u062f\u0631 \u06cc\u06a9\u06cc \u0627\u0632 \u062c\u062f\u0627\u0648\u0644 \u0648\u062c\u0648\u062f \u0646\u062f\u0627\u0631\u062f\u060c \u062f\u0631 DataFrame \u0627\u062f\u063a\u0627\u0645 \u0634\u062f\u0647 \u0646\u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.<\/p>\n<p>\u062d\u062a\u06cc \u0627\u06af\u0631 \u062c\u0627\u06cc \u0631\u062f\u06cc\u0641\u200c\u0647\u0627\u06cc \u0686\u067e \u0648 \u0631\u0627\u0633\u062a \u0639\u0648\u0636 \u0634\u0648\u062f\u060c \u0627\u06cc\u0646 \u0645\u0648\u0636\u0648\u0639 \u0635\u0627\u062f\u0642 \u0645\u06cc\u200c\u0645\u0627\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">df3_merged = pd.merge(df2, df1)\n<\/code><\/pre>\n<p>\u0646\u062a\u0627\u06cc\u062c \u0647\u0645\u0686\u0646\u0627\u0646:<\/p>\n<pre><code class=\"hljs\">  user_id                         image_url first_name last_name                  email\n0   id001  http:\/\/example.com\/img\/id001.png       Rivi     Valti    (email\u00a0protected)\n1   id002  http:\/\/example.com\/img\/id002.jpg     Wynnie   McMurty  (email\u00a0protected)\n2   id003  http:\/\/example.com\/img\/id003.bmp    Kristos   Ivanets  (email\u00a0protected)\n3   id004  http:\/\/example.com\/img\/id004.jpg    Madalyn       Max      (email\u00a0protected)\n4   id005  http:\/\/example.com\/img\/id005.png       Tobe   Riddich  (email\u00a0protected)\n<\/code><\/pre>\n<p>\u06a9\u0627\u0631\u0628\u0631\u0627\u0646 \u0628\u0627 \u0634\u0646\u0627\u0633\u0647 <code>'id006'<\/code> \u0648 <code>'id007'<\/code> \u0628\u062e\u0634\u06cc \u0627\u0632 DataFrame \u0647\u0627\u06cc \u0627\u062f\u063a\u0627\u0645 \u0634\u062f\u0647 \u0646\u06cc\u0633\u062a\u0646\u062f \u0632\u06cc\u0631\u0627 \u0622\u0646\u0647\u0627 \u0631\u0627 \u0642\u0637\u0639 \u0646\u0645\u06cc \u06a9\u0646\u0646\u062f \u0631\u0648\u06cc \u0647\u0631 \u062f\u0648 \u062c\u062f\u0648\u0644<\/p>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0645\u0648\u0627\u0642\u0639\u06cc \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f \u06a9\u0647 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u0645 \u0627\u0632 \u06cc\u06a9\u06cc \u0627\u0632 DataFrame\u0647\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 DataFrame \u0627\u0635\u0644\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 \u0648 \u062a\u0645\u0627\u0645 \u0631\u062f\u06cc\u0641\u200c\u0647\u0627\u06cc \u0622\u0646 \u0631\u0627 \u062d\u062a\u06cc \u0627\u06af\u0631 \u0647\u0645\u0647 \u0622\u0646\u0647\u0627 \u0628\u0627 \u06cc\u06a9\u062f\u06cc\u06af\u0631 \u062a\u0644\u0627\u0642\u06cc \u0646\u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0646\u062f\u060c \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u0645.  \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u06af\u0648\u06cc\u0646\u062f\u060c \u0628\u0647 \u0647\u0645\u0647 \u06a9\u0627\u0631\u0628\u0631\u0627\u0646 \u0645\u0627\u060c \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 <code>image_url<\/code> \u0627\u062e\u062a\u06cc\u0627\u0631\u06cc \u0627\u0633\u062a.<\/p>\n<p>\u0686\u06af\u0648\u0646\u0647\u061f  \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>merge()<\/code>\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0639\u0628\u0648\u0631 \u06a9\u0646\u06cc\u0645 <code>'left'<\/code> \u0627\u0633\u062a\u062f\u0644\u0627\u0644 \u0628\u0647 <code>how<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631:<\/p>\n<pre><code class=\"hljs\">df_left_merge = pd.merge(df1, df2, how=<span class=\"hljs-string\">'left'<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(df_left_merge)\n<\/code><\/pre>\n<p>\u0628\u0627 \u06cc\u06a9 <em>\u0686\u067e \u067e\u06cc\u0648\u0633\u062a\u0646<\/em>\u060c \u0645\u0627 \u062a\u0645\u0627\u0645 \u0639\u0646\u0627\u0635\u0631 DataFrame \u0633\u0645\u062a \u0686\u067e \u0631\u0627 \u06af\u0646\u062c\u0627\u0646\u062f\u0647 \u0627\u06cc\u0645 (<code>df1<\/code>) \u0648 \u0647\u0631 \u0639\u0646\u0635\u0631 \u0627\u0632 DataFrame \u0633\u0645\u062a \u0631\u0627\u0633\u062a (<code>df2<\/code>).  \u0628\u0627 \u0627\u062c\u0631\u0627\u06cc \u06a9\u062f \u0628\u0627\u0644\u0627 \u0627\u06cc\u0646 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f:<\/p>\n<pre><code class=\"hljs\">  user_id first_name last_name                  email                         image_url\n0   id001       Rivi     Valti    (email\u00a0protected)  http:\/\/example.com\/img\/id001.png\n1   id002     Wynnie   McMurty  (email\u00a0protected)  http:\/\/example.com\/img\/id002.jpg\n2   id003    Kristos   Ivanets  (email\u00a0protected)  http:\/\/example.com\/img\/id003.bmp\n3   id004    Madalyn       Max      (email\u00a0protected)  http:\/\/example.com\/img\/id004.jpg\n4   id005       Tobe   Riddich  (email\u00a0protected)  http:\/\/example.com\/img\/id005.png\n5   id006      Regan    Huyghe    (email\u00a0protected)                               NaN\n6   id007    Kristin     Illis    (email\u00a0protected)                               NaN\n<\/code><\/pre>\n<p>\u0633\u0644\u0648\u0644 \u0647\u0627\u06cc\u06cc \u06a9\u0647 \u0647\u06cc\u0686 \u0645\u0642\u062f\u0627\u0631 \u062a\u0637\u0628\u06cc\u0642\u06cc \u200b\u200b\u0628\u0627 DataFrame \u0633\u0645\u062a \u0686\u067e \u0646\u062f\u0627\u0631\u0646\u062f \u0628\u0627 \u0622\u0646\u0647\u0627 \u067e\u0631 \u0645\u06cc \u0634\u0648\u0646\u062f <code>NaN<\/code>.<\/p>\n<p>\u0686\u0631\u0627 \u06cc\u06a9 \u067e\u06cc\u0648\u0633\u062a\u0646 \u062f\u0631\u0633\u062a \u0631\u0627 \u0627\u0645\u062a\u062d\u0627\u0646 \u0646\u0645\u06cc \u06a9\u0646\u06cc\u0645\u061f  DataFrame \u0627\u062f\u063a\u0627\u0645 \u0634\u062f\u0647 \u0632\u06cc\u0631 \u0631\u0627 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">df_right_merge = pd.merge(df1, df2, how=<span class=\"hljs-string\">'right'<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(df_right_merge)\n<\/code><\/pre>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0627\u0646\u062a\u0638\u0627\u0631 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f\u060c <em>\u062d\u0642 \u0639\u0636\u0648\u06cc\u062a<\/em> \u0647\u0631 \u0645\u0642\u062f\u0627\u0631 \u0627\u0632 DataFrame \u0633\u0645\u062a \u0686\u067e \u06a9\u0647 \u0628\u0627 DataFrame \u0633\u0645\u062a \u0631\u0627\u0633\u062a \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0627\u0631\u062f \u0631\u0627 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">  user_id first_name last_name                  email                         image_url\n0   id001       Rivi     Valti    (email\u00a0protected)  http:\/\/example.com\/img\/id001.png\n1   id002     Wynnie   McMurty  (email\u00a0protected)  http:\/\/example.com\/img\/id002.jpg\n2   id003    Kristos   Ivanets  (email\u00a0protected)  http:\/\/example.com\/img\/id003.bmp\n3   id004    Madalyn       Max      (email\u00a0protected)  http:\/\/example.com\/img\/id004.jpg\n4   id005       Tobe   Riddich  (email\u00a0protected)  http:\/\/example.com\/img\/id005.png\n<\/code><\/pre>\n<p>\u0645\u0627\u0646\u0646\u062f \u0647\u0631 \u0631\u062f\u06cc\u0641 \u062f\u0631 <code>df2<\/code> \u062f\u0627\u0631\u0627\u06cc \u0627\u0631\u0632\u0634 \u062f\u0631 <code>df1<\/code>\u060c \u0627\u06cc\u0646 <code>right<\/code> join \u0645\u0634\u0627\u0628\u0647 \u0627\u0633\u062a <code>inner<\/code> \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f \u0628\u067e\u06cc\u0648\u0646\u062f\u06cc\u062f<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 <code>outer<\/code> \u0645\u06cc \u067e\u06cc\u0648\u0646\u062f\u062f.  \u0628\u0631\u0627\u06cc \u0628\u0647\u062a\u0631 \u0646\u0634\u0627\u0646 \u062f\u0627\u062f\u0646 \u0631\u0648\u0634 \u06a9\u0627\u0631 \u0622\u0646\u0647\u0627\u060c \u0627\u062c\u0627\u0632\u0647 \u062f\u0647\u06cc\u062f swap \u0642\u0631\u0627\u0631 \u062f\u0627\u062f\u0646 DataFrames \u0645\u0627 \u0648 \u0627\u06cc\u062c\u0627\u062f 2 \u0645\u062a\u063a\u06cc\u0631 \u062c\u062f\u06cc\u062f \u0628\u0631\u0627\u06cc \u0647\u0631 \u062f\u0648 \u0627\u062a\u0635\u0627\u0644 \u0686\u067e \u0648 \u062e\u0627\u0631\u062c\u06cc:<\/p>\n<pre><code class=\"hljs\">df_left = pd.merge(df2, df1, how=<span class=\"hljs-string\">'left'<\/span>, indicator=<span class=\"hljs-literal\">True<\/span>)\ndf_outer = pd.merge(df2, df1, how=<span class=\"hljs-string\">'outer'<\/span>, indicator=<span class=\"hljs-literal\">True<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(df_left)\n<span class=\"hljs-built_in\">print<\/span>(df_outer)\n<\/code><\/pre>\n<p>\u0628\u0647 \u062e\u0627\u0637\u0631 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 DataFrame \u0633\u0645\u062a \u0686\u067e \u0645\u0627 \u0627\u0633\u062a <code>df2<\/code> \u0648 DataFrame \u0645\u0646\u0627\u0633\u0628 \u0627\u0633\u062a <code>df1<\/code>.  \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u0646 <code>how='outer'<\/code> \u062a\u0637\u0628\u06cc\u0642 DataFrames \u0631\u0627 \u0627\u062f\u063a\u0627\u0645 \u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc \u06a9\u0644\u06cc\u062f <em>\u0627\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646<\/em> \u0634\u0627\u0645\u0644 \u0645\u0642\u0627\u062f\u06cc\u0631\u06cc \u0627\u0633\u062a \u06a9\u0647 \u06af\u0645 \u0634\u062f\u0647 \u06cc\u0627 \u0645\u0637\u0627\u0628\u0642\u062a \u0646\u062f\u0627\u0631\u0646\u062f.<\/p>\n<p>\u0645\u0627 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0631\u062f\u06cc\u0645 <code>indicator<\/code> \u067e\u0631\u0686\u0645 \u06af\u0630\u0627\u0631\u06cc \u06a9\u0646\u06cc\u062f \u0648 \u0631\u0648\u06cc \u0622\u0646 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f <code>True<\/code> \u0628\u0647 \u0637\u0648\u0631\u06cc \u06a9\u0647 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u06cc\u06a9 \u0633\u062a\u0648\u0646 \u0627\u0636\u0627\u0641\u06cc \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u0646\u062f <code>_merge<\/code> \u062a\u0627 \u0627\u0646\u062a\u0647\u0627\u06cc DataFrame \u0645\u0627.  \u0627\u06cc\u0646 \u0633\u062a\u0648\u0646 \u0628\u0647 \u0645\u0627 \u0645\u06cc \u06af\u0648\u06cc\u062f \u06a9\u0647 \u0622\u06cc\u0627 \u06cc\u06a9 \u0631\u062f\u06cc\u0641 \u062f\u0631 \u0633\u0645\u062a \u0686\u067e\u060c \u0631\u0627\u0633\u062a \u06cc\u0627 \u0647\u0631 \u062f\u0648 DataFrame \u067e\u06cc\u062f\u0627 \u0634\u062f\u0647 \u0627\u0633\u062a.<\/p>\n<p>\u0627\u06cc\u0646 <code>df_left<\/code> \u0645\u062a\u063a\u06cc\u0631 \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">  user_id                         image_url first_name last_name                  email _merge\n0   id001  http:\/\/example.com\/img\/id001.png       Rivi     Valti    (email\u00a0protected)   both\n1   id002  http:\/\/example.com\/img\/id002.jpg     Wynnie   McMurty  (email\u00a0protected)   both\n2   id003  http:\/\/example.com\/img\/id003.bmp    Kristos   Ivanets  (email\u00a0protected)   both\n3   id004  http:\/\/example.com\/img\/id004.jpg    Madalyn       Max      (email\u00a0protected)   both\n4   id005  http:\/\/example.com\/img\/id005.png       Tobe   Riddich  (email\u00a0protected)   both\n<\/code><\/pre>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c <code>df_outer<\/code> \u0627\u06cc\u0646 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u062f\u0627\u0631\u062f:<\/p>\n<pre><code class=\"hljs\">  user_id                         image_url first_name last_name                  email      _merge\n0   id001  http:\/\/example.com\/img\/id001.png       Rivi     Valti    (email\u00a0protected)        both\n1   id002  http:\/\/example.com\/img\/id002.jpg     Wynnie   McMurty  (email\u00a0protected)        both\n2   id003  http:\/\/example.com\/img\/id003.bmp    Kristos   Ivanets  (email\u00a0protected)        both\n3   id004  http:\/\/example.com\/img\/id004.jpg    Madalyn       Max      (email\u00a0protected)        both\n4   id005  http:\/\/example.com\/img\/id005.png       Tobe   Riddich  (email\u00a0protected)        both\n5   id006                               NaN      Regan    Huyghe    (email\u00a0protected)  right_only\n6   id007                               NaN    Kristin     Illis    (email\u00a0protected)  right_only\n<\/code><\/pre>\n<p>\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u062f\u0631 <code>df_outer<\/code> DataFrame <code>id006<\/code> \u0648 <code>id007<\/code> \u0641\u0642\u0637 \u062f\u0631 DataFrame \u0633\u0645\u062a \u0631\u0627\u0633\u062a \u0648\u062c\u0648\u062f \u062f\u0627\u0631\u062f (\u062f\u0631 \u0627\u06cc\u0646 \u0645\u0648\u0631\u062f \u0686\u0646\u06cc\u0646 \u0627\u0633\u062a <code>df1<\/code>).  \u0627\u06af\u0631 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u0627\u062a\u0635\u0627\u0644\u0627\u062a \u0686\u067e \u0648 \u0628\u06cc\u0631\u0648\u0646\u06cc \u0631\u0627 \u0628\u062f\u0648\u0646 \u062a\u0639\u0648\u06cc\u0636 \u0645\u06a9\u0627\u0646 \u0645\u0642\u0627\u06cc\u0633\u0647 \u06a9\u0646\u06cc\u0645\u060c \u0628\u0631\u0627\u06cc \u0647\u0631 \u062f\u0648\u06cc \u0622\u0646\u0647\u0627 \u0646\u062a\u0627\u06cc\u062c \u06cc\u06a9\u0633\u0627\u0646\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u062f\u0627\u0634\u062a.<\/p>\n<h2 id=\"mergedataframesusingjoin\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%af%d8%ba%d8%a7%d9%85_dataframes_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_%d9%be%db%8c%d9%88%d8%b3%d8%aa%d9%86\"><\/span>\u0627\u062f\u063a\u0627\u0645 DataFrames \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <em>\u067e\u06cc\u0648\u0633\u062a\u0646()<\/em><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0628\u0631 \u062e\u0644\u0627\u0641 <code>merge()<\/code> \u06a9\u0647 \u0631\u0648\u0634\u06cc \u0627\u0632 \u0646\u0645\u0648\u0646\u0647 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0627\u0633\u062a\u060c <code>join()<\/code> \u0631\u0648\u0634\u06cc \u0627\u0632 \u062e\u0648\u062f DataFrame \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0632 \u0622\u0646 \u0645\u0627\u0646\u0646\u062f \u06cc\u06a9 \u0631\u0648\u0634 \u0627\u0633\u062a\u0627\u062a\u06cc\u06a9 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 \u0631\u0648\u06cc DataFrame: <code>DataFrame.join(other, \u0631\u0648\u06cc=None, how='left', lsuffix='', rsuffix='', sort=False)<\/code>.<\/p>\n<p>DataFrame \u06a9\u0647 \u0645\u0627 \u0628\u0647 \u0622\u0646 \u0645\u06cc \u06af\u0648\u06cc\u06cc\u0645 <code>join()<\/code> \u0627\u0632 \u062f\u06cc\u062a\u0627 \u0641\u0631\u06cc\u0645 \u0633\u0645\u062a \u0686\u067e \u0645\u0627 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.  DataFrame \u062f\u0631 <code>other<\/code> \u0622\u0631\u06af\u0648\u0645\u0627\u0646 DataFrame \u0645\u0646\u0627\u0633\u0628 \u0645\u0627 \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f.<\/p>\n<p>\u0627\u06cc\u0646 <code>\u0631\u0648\u06cc<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u06cc\u06a9 \u06cc\u0627 \u0686\u0646\u062f (<code>('key1', 'key2' ...)<\/code>) \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0647\u0627\u06cc\u06cc \u0628\u0631\u0627\u06cc \u062a\u0639\u0631\u06cc\u0641 \u06a9\u0644\u06cc\u062f \u062a\u0637\u0628\u06cc\u0642\u060c while <code>how<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u06cc\u06a9\u06cc \u0627\u0632 \u0622\u0631\u06af\u0648\u0645\u0627\u0646 \u0647\u0627\u06cc \u062f\u0633\u062a\u0647 (\u0686\u067e\u060c \u0631\u0627\u0633\u062a\u060c \u0628\u06cc\u0631\u0648\u0646\u06cc\u060c \u062f\u0627\u062e\u0644\u06cc) \u0631\u0627 \u0645\u06cc \u06af\u06cc\u0631\u062f \u0648 \u062a\u0646\u0638\u06cc\u0645 \u0645\u06cc \u0634\u0648\u062f <code>left<\/code> \u0628\u0647 \u0635\u0648\u0631\u062a \u067e\u06cc\u0634 \u0641\u0631\u0636.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0631\u0627\u06cc \u067e\u06cc\u0648\u0633\u062a\u0646 \u062a\u0644\u0627\u0634 \u06a9\u0646\u06cc\u0645 <code>df2<\/code> \u0628\u0647 <code>df1<\/code>:<\/p>\n<pre><code class=\"hljs\">df_join = df1.join(df2, rsuffix=<span class=\"hljs-string\">'_right'<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(df_join)\n<\/code><\/pre>\n<p>\u0645\u0627\u0646\u0646\u062f <code>merge()<\/code> \u062a\u0627\u0628\u0639\u060c <code>join()<\/code> \u062a\u0627\u0628\u0639 \u0628\u0647 \u0637\u0648\u0631 \u062e\u0648\u062f\u06a9\u0627\u0631 \u0633\u0639\u06cc \u0645\u06cc \u06a9\u0646\u062f \u06a9\u0644\u06cc\u062f\u0647\u0627 (\u0633\u062a\u0648\u0646 \u0647\u0627) \u0631\u0627 \u0628\u0627 \u0647\u0645\u0627\u0646 \u0646\u0627\u0645 \u0645\u0637\u0627\u0628\u0642\u062a \u062f\u0647\u062f.  \u062f\u0631 \u0645\u0648\u0631\u062f \u0645\u0627\u060c \u0622\u0646 \u0627\u0633\u062a <code>user_id<\/code> \u06a9\u0644\u06cc\u062f<\/p>\n<p>\u06a9\u062f \u0628\u0627\u0644\u0627 \u0627\u06cc\u0646 \u0631\u0627 \u0686\u0627\u067e \u0645\u06cc \u06a9\u0646\u062f:<\/p>\n<pre><code class=\"hljs\">  user_id first_name last_name                  email user_id_right                         image_url\n0   id001       Rivi     Valti    (email\u00a0protected)         id001  http:\/\/example.com\/img\/id001.png\n1   id002     Wynnie   McMurty  (email\u00a0protected)         id002  http:\/\/example.com\/img\/id002.jpg\n2   id003    Kristos   Ivanets  (email\u00a0protected)         id003  http:\/\/example.com\/img\/id003.bmp\n3   id004    Madalyn       Max      (email\u00a0protected)         id004  http:\/\/example.com\/img\/id004.jpg\n4   id005       Tobe   Riddich  (email\u00a0protected)         id005  http:\/\/example.com\/img\/id005.png\n5   id006      Regan    Huyghe    (email\u00a0protected)           NaN                               NaN\n6   id007    Kristin     Illis    (email\u00a0protected)           NaN                               NaN\n<\/code><\/pre>\n<p>\u0627\u062d\u062a\u0645\u0627\u0644\u0627 \u0645\u062a\u0648\u062c\u0647 \u06cc\u06a9 &#8220;\u0633\u062a\u0648\u0646 \u062a\u06a9\u0631\u0627\u0631\u06cc&#8221; \u0628\u0647 \u0646\u0627\u0645 \u0634\u062f\u0647 \u0627\u06cc\u062f <code>user_id_right<\/code>.  \u0627\u06af\u0631 \u0646\u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u062f \u0622\u0646 \u0633\u062a\u0648\u0646 \u0646\u0645\u0627\u06cc\u0634 \u062f\u0627\u062f\u0647 \u0634\u0648\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0622\u0646 \u0631\u0627 \u062a\u0646\u0638\u06cc\u0645 \u06a9\u0646\u06cc\u062f <code>user_id<\/code> \u0633\u062a\u0648\u0646 \u0647\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0634\u0627\u062e\u0635 \u0631\u0648\u06cc \u0647\u0631 \u062f\u0648 \u0633\u062a\u0648\u0646 \u062a\u0627 \u0628\u062f\u0648\u0646 \u067e\u0633\u0648\u0646\u062f \u0628\u0647 \u0647\u0645 \u0628\u067e\u06cc\u0648\u0646\u062f\u062f:<\/p>\n<pre><code class=\"hljs\">df_join_no_duplicates = df1.set_index(<span class=\"hljs-string\">'user_id'<\/span>).join(df2.set_index(<span class=\"hljs-string\">'user_id'<\/span>))\n\n<span class=\"hljs-built_in\">print<\/span>(df_join_no_duplicates)\n<\/code><\/pre>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u06a9\u0627\u0631 \u0627\u0632 \u0634\u0631 \u0622\u0646 \u062e\u0644\u0627\u0635 \u0645\u06cc \u0634\u0648\u06cc\u0645 <code>user_id<\/code> \u0633\u062a\u0648\u0646 \u0648 \u062f\u0631 \u0639\u0648\u0636 \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0633\u062a\u0648\u0646 \u0634\u0627\u062e\u0635 \u0642\u0631\u0627\u0631 \u062f\u0647\u06cc\u062f.  \u0627\u06cc\u0646 \u06cc\u06a9 DataFrame \u062a\u0645\u06cc\u0632\u062a\u0631 \u0631\u0627 \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u0645\u0627 \u0642\u0631\u0627\u0631 \u0645\u06cc \u062f\u0647\u062f:<\/p>\n<pre><code class=\"hljs\">        first_name last_name                  email                         image_url\nuser_id                                                                              \nid001         Rivi     Valti    (email\u00a0protected)  http:\/\/example.com\/img\/id001.png\nid002       Wynnie   McMurty  (email\u00a0protected)  http:\/\/example.com\/img\/id002.jpg\nid003      Kristos   Ivanets  (email\u00a0protected)  http:\/\/example.com\/img\/id003.bmp\nid004      Madalyn       Max      (email\u00a0protected)  http:\/\/example.com\/img\/id004.jpg\nid005         Tobe   Riddich  (email\u00a0protected)  http:\/\/example.com\/img\/id005.png\nid006        Regan    Huyghe    (email\u00a0protected)                               NaN\nid007      Kristin     Illis    (email\u00a0protected)                               NaN\n<\/code><\/pre>\n<h2 id=\"mergedataframesusingappend\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%af%d8%ba%d8%a7%d9%85_dataframes_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_%d8%b6%d9%85%db%8c%d9%85%d9%87\"><\/span>\u0627\u062f\u063a\u0627\u0645 DataFrames \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <em>\u0636\u0645\u06cc\u0645\u0647 ()<\/em><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0627\u0633\u0646\u0627\u062f \u0631\u0633\u0645\u06cc \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0627\u0634\u0627\u0631\u0647 \u0645\u06cc \u06a9\u0646\u062f\u060c \u0627\u0632 \u0622\u0646 \u0632\u0645\u0627\u0646 <code>concat()<\/code> \u0648 <code>append()<\/code> \u0631\u0648\u0634\u200c\u0647\u0627 \u06a9\u067e\u06cc\u200c\u0647\u0627\u06cc \u062c\u062f\u06cc\u062f\u06cc \u0627\u0632 DataFrames \u0631\u0627 \u0628\u0631\u0645\u06cc\u200c\u06af\u0631\u062f\u0627\u0646\u0646\u062f\u060c \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u06cc\u0634 \u0627\u0632 \u062d\u062f \u0627\u0632 \u0627\u06cc\u0646 \u0631\u0648\u0634\u200c\u0647\u0627 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0628\u0631 \u0639\u0645\u0644\u06a9\u0631\u062f \u0628\u0631\u0646\u0627\u0645\u0647 \u0634\u0645\u0627 \u062a\u0623\u062b\u06cc\u0631 \u0628\u06af\u0630\u0627\u0631\u062f.<\/p>\n<p>\u0648\u0642\u062a\u06cc \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0648 DataFrame \u0631\u0627 \u0641\u0642\u0637 \u062f\u0631 \u0645\u062d\u0648\u0631 \u0631\u062f\u06cc\u0641 \u0627\u062f\u063a\u0627\u0645 \u06a9\u0646\u06cc\u062f\u060c Append \u0628\u0633\u06cc\u0627\u0631 \u0645\u0641\u06cc\u062f \u0627\u0633\u062a.  \u0627\u06cc\u0646 \u0628\u062f\u0627\u0646 \u0645\u0639\u0646\u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u062c\u0627\u06cc \u062a\u0637\u0628\u06cc\u0642 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0648\u06cc \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u0622\u0646\u0647\u0627\u060c \u0645\u0627 \u06cc\u06a9 DataFrame \u062c\u062f\u06cc\u062f \u0645\u06cc \u062e\u0648\u0627\u0647\u06cc\u0645 \u06a9\u0647 \u0634\u0627\u0645\u0644 \u062a\u0645\u0627\u0645 \u0631\u062f\u06cc\u0641 \u0647\u0627\u06cc 2 DataFrame \u0628\u0627\u0634\u062f.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0636\u0645\u06cc\u0645\u0647 \u06a9\u0646\u06cc\u0645 <code>df2<\/code> \u0628\u0647 <code>df1<\/code> \u0648 print \u0646\u062a\u0627\u06cc\u062c:<\/p>\n<pre><code class=\"hljs\">df_append = df1.append(df2, ignore_index=<span class=\"hljs-literal\">True<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(df_append)\n<\/code><\/pre>\n<p>\u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0631\u062f\u0646 <code>append()<\/code> \u0628\u0627 DataFrames \u0645\u0637\u0627\u0628\u0642\u062a \u0646\u062e\u0648\u0627\u0647\u062f \u062f\u0627\u0634\u062a \u0631\u0648\u06cc \u0647\u0631 \u06a9\u0644\u06cc\u062f  \u0641\u0642\u0637 DataFrame \u062f\u06cc\u06af\u0631 \u0631\u0627 \u0628\u0647 \u0627\u0648\u0644\u06cc \u0627\u0636\u0627\u0641\u0647 \u0645\u06cc \u06a9\u0646\u062f \u0648 \u06cc\u06a9 \u06a9\u067e\u06cc \u0627\u0632 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f.  \u0627\u06af\u0631 \u0634\u06a9\u0644\u200c\u0647\u0627\u06cc DataFrames \u0645\u0637\u0627\u0628\u0642\u062a \u0646\u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u0646\u062f\u060c \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0633\u0644\u0648\u0644\u200c\u0647\u0627\u06cc \u0628\u06cc\u200c\u0647\u0645\u062a\u0627 \u0631\u0627 \u0628\u0627 NaN \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u0645\u06cc\u200c\u06a9\u0646\u0646\u062f.<\/p>\n<p>\u062e\u0631\u0648\u062c\u06cc \u0628\u0631\u0627\u06cc \u0627\u0644\u062d\u0627\u0642 \u062f\u0648 DataFrame \u0628\u0647 \u0634\u06a9\u0644 \u0632\u06cc\u0631 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">   user_id first_name last_name                  email                         image_url\n0    id001       Rivi     Valti    (email\u00a0protected)                               NaN\n1    id002     Wynnie   McMurty  (email\u00a0protected)                               NaN\n2    id003    Kristos   Ivanets  (email\u00a0protected)                               NaN\n3    id004    Madalyn       Max      (email\u00a0protected)                               NaN\n4    id005       Tobe   Riddich  (email\u00a0protected)                               NaN\n5    id006      Regan    Huyghe    (email\u00a0protected)                               NaN\n6    id007    Kristin     Illis    (email\u00a0protected)                               NaN\n7    id001        NaN       NaN                    NaN  http:\/\/example.com\/img\/id001.png\n8    id002        NaN       NaN                    NaN  http:\/\/example.com\/img\/id002.jpg\n9    id003        NaN       NaN                    NaN  http:\/\/example.com\/img\/id003.bmp\n10   id004        NaN       NaN                    NaN  http:\/\/example.com\/img\/id004.jpg\n11   id005        NaN       NaN                    NaN  http:\/\/example.com\/img\/id005.png\n<\/code><\/pre>\n<p>\u0627\u06a9\u062b\u0631 \u06a9\u0627\u0631\u0628\u0631\u0627\u0646 \u0627\u0646\u062a\u062e\u0627\u0628 \u0645\u06cc \u06a9\u0646\u0646\u062f <code>concat()<\/code> \u0628\u0627\u0644\u0627\u06cc <code>append()<\/code> \u0627\u0632 \u0622\u0646\u062c\u0627\u06cc\u06cc \u06a9\u0647 \u06af\u0632\u06cc\u0646\u0647 \u062a\u0637\u0628\u06cc\u0642 \u06a9\u0644\u06cc\u062f \u0648 \u0645\u062d\u0648\u0631 \u0631\u0627 \u0646\u06cc\u0632 \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc \u06a9\u0646\u062f.<\/p>\n<h2 id=\"mergedataframesusingconcat\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%af%d8%ba%d8%a7%d9%85_dataframes_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_concat\"><\/span>\u0627\u062f\u063a\u0627\u0645 DataFrames \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <em>concat()<\/em><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u0627\u0644\u062d\u0627\u0642 \u062f\u0631 \u0645\u0642\u0627\u06cc\u0633\u0647 \u0628\u0627 \u0622\u0646 \u06a9\u0645\u06cc \u0627\u0646\u0639\u0637\u0627\u0641 \u067e\u0630\u06cc\u0631\u062a\u0631 \u0627\u0633\u062a <code>merge()<\/code> \u0648 <code>join()<\/code> \u0632\u06cc\u0631\u0627 \u0628\u0647 \u0645\u0627 \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0631\u0627 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 DataFrames \u0631\u0627 \u0628\u0647 \u0635\u0648\u0631\u062a \u0639\u0645\u0648\u062f\u06cc (\u062f\u0631 \u0631\u062f\u06cc\u0641) \u06cc\u0627 \u0627\u0641\u0642\u06cc (\u0633\u062a\u0648\u0646) \u062a\u0631\u06a9\u06cc\u0628 \u06a9\u0646\u06cc\u0645.<\/p>\n<p>\u0645\u0628\u0627\u062f\u0644\u0647 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 \u0647\u0631 \u062f\u0627\u062f\u0647 \u0627\u06cc \u06a9\u0647 \u0645\u0637\u0627\u0628\u0642\u062a \u0646\u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u062f \u0627\u0632 \u0628\u06cc\u0646 \u0645\u06cc \u0631\u0648\u062f.  \u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u062a\u0627\u0628\u0639 \u06a9\u0627\u0645\u0644 \u0628\u0627 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">pandas.concat(objs, axis=<span class=\"hljs-number\">0<\/span>, join=<span class=\"hljs-string\">'outer'<\/span>, ignore_index=<span class=\"hljs-literal\">False<\/span>, keys=<span class=\"hljs-literal\">None<\/span>,\n              levels=<span class=\"hljs-literal\">None<\/span>, names=<span class=\"hljs-literal\">None<\/span>, verify_integrity=<span class=\"hljs-literal\">False<\/span>, sort=<span class=\"hljs-literal\">False<\/span>, copy=<span class=\"hljs-literal\">True<\/span>)\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0645\u062a\u062f\u0627\u0648\u0644 \u062a\u0631\u06cc\u0646 \u067e\u0627\u0631\u0627\u0645\u062a\u0631\u0647\u0627\u06cc \u0645\u0648\u0631\u062f \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0628\u0631\u0627\u06cc <code>concat()<\/code> \u062a\u0627\u0628\u0639:<\/p>\n<ul>\n<li><code>objs<\/code>  \u0644\u06cc\u0633\u062a\u06cc \u0627\u0632 \u0627\u0634\u06cc\u0627\u0621 DataFrame ((df1, df2, &#8230;)) \u0627\u0633\u062a \u06a9\u0647 \u0628\u0627\u06cc\u062f \u0628\u0647 \u0647\u0645 \u0645\u062a\u0635\u0644 \u0634\u0648\u0646\u062f<\/li>\n<li><code>axis<\/code>  \u062c\u0647\u062a \u0627\u0644\u062d\u0627\u0642 \u0631\u0627 \u0645\u0634\u062e\u0635 \u0645\u06cc \u06a9\u0646\u062f\u060c <code>0<\/code> \u0628\u0631\u0627\u06cc \u0631\u062f\u06cc\u0641 \u0639\u0627\u0642\u0644\u0627\u0646\u0647 \u0648 <code>1<\/code> \u0628\u0631\u0627\u06cc \u0633\u062a\u0648\u0646 \u0639\u0627\u0642\u0644\u0627\u0646\u0647<\/li>\n<li><code>join<\/code>  \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0627\u0634\u062f <code>inner<\/code> (\u062a\u0642\u0627\u0637\u0639) \u06cc\u0627 <code>outer<\/code> (\u0627\u062a\u062d\u0627\u062f. \u0627\u062a\u0635\u0627\u0644)<\/li>\n<li><code>ignore_index<\/code>  \u0628\u0647 \u0637\u0648\u0631 \u067e\u06cc\u0634 \u0641\u0631\u0636 \u0631\u0648\u06cc <code>False<\/code> \u06a9\u0647 \u0628\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0634\u0627\u062e\u0635 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f \u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u062f\u0631 DataFrames \u0627\u0635\u0644\u06cc \u0628\u0648\u062f\u0646\u062f \u0628\u0627\u0642\u06cc \u0628\u0645\u0627\u0646\u0646\u062f\u060c \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0628\u0627\u0639\u062b \u062a\u06a9\u0631\u0627\u0631 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0634\u0627\u062e\u0635 \u0634\u0648\u062f.  \u0627\u06af\u0631 \u062a\u0646\u0638\u06cc\u0645 \u0634\u0648\u062f <code>True<\/code>\u060c \u0645\u0642\u0627\u062f\u06cc\u0631 \u0627\u0635\u0644\u06cc \u0631\u0627 \u0646\u0627\u062f\u06cc\u062f\u0647 \u0645\u06cc \u06af\u06cc\u0631\u062f \u0648 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0634\u0627\u062e\u0635 \u0631\u0627 \u0645\u062c\u062f\u062f\u0627\u064b \u0628\u0647 \u062a\u0631\u062a\u06cc\u0628 \u0645\u062a\u0648\u0627\u0644\u06cc \u0627\u062e\u062a\u0635\u0627\u0635 \u0645\u06cc \u062f\u0647\u062f<\/li>\n<li><code>keys<\/code>  \u0628\u0647 \u0645\u0627 \u0627\u062c\u0627\u0632\u0647 \u0645\u06cc \u062f\u0647\u062f \u062a\u0627 \u06cc\u06a9 \u0634\u0627\u062e\u0635 \u0633\u0644\u0633\u0644\u0647 \u0645\u0631\u0627\u062a\u0628\u06cc \u0628\u0633\u0627\u0632\u06cc\u0645.  \u0622\u0646 \u0631\u0627 \u0628\u0647 \u0639\u0646\u0648\u0627\u0646 \u0633\u0637\u062d \u062f\u06cc\u06af\u0631\u06cc \u0627\u0632 \u0634\u0627\u062e\u0635 \u0627\u0636\u0627\u0641\u0647 \u0634\u062f\u0647 \u062f\u0631 \u0646\u0638\u0631 \u0628\u06af\u06cc\u0631\u06cc\u062f \u0631\u0648\u06cc \u0633\u0645\u062a \u0686\u067e \u0628\u06cc\u0631\u0648\u0646\u06cc DataFrame \u06a9\u0647 \u0628\u0647 \u0645\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f \u062a\u0627 \u0632\u0645\u0627\u0646\u06cc \u06a9\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f \u0646\u06cc\u0633\u062a\u0646\u062f\u060c \u0634\u0627\u062e\u0635 \u0647\u0627 \u0631\u0627 \u062a\u0634\u062e\u06cc\u0635 \u062f\u0647\u06cc\u0645<\/li>\n<\/ul>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u06cc\u06a9 DataFrame \u062c\u062f\u06cc\u062f \u0628\u0627 \u0627\u0646\u0648\u0627\u0639 \u0633\u062a\u0648\u0646 \u0647\u0627\u06cc \u0645\u0634\u0627\u0628\u0647 \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u0645 <code>df2<\/code>\u060c \u0627\u0645\u0627 \u0627\u06cc\u0646 \u06cc\u06a9\u06cc \u0634\u0627\u0645\u0644 <code>image_url<\/code> \u0628\u0631\u0627\u06cc <code>id006<\/code> \u0648 <code>id007<\/code>:<\/p>\n<pre><code class=\"hljs\">df2_addition = pd.DataFrame({<span class=\"hljs-string\">'user_id'<\/span>: (<span class=\"hljs-string\">'id006'<\/span>, <span class=\"hljs-string\">'id007'<\/span>),\n                             <span class=\"hljs-string\">'image_url'<\/span>: (<span class=\"hljs-string\">'http:\/\/example.com\/img\/id006.png'<\/span>,\n                                           <span class=\"hljs-string\">'http:\/\/example.com\/img\/id007.jpg'<\/span>)\n                             })\n<\/code><\/pre>\n<p>\u0628\u0647 \u0645\u0646\u0638\u0648\u0631 \u067e\u06cc\u0648\u0633\u062a\u0646 <code>df2<\/code> \u0648 <code>df2_addition<\/code> \u0627\u0632 \u0646\u0638\u0631 \u0631\u062f\u06cc\u0641\u060c \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646\u0647\u0627 \u0631\u0627 \u062f\u0631 \u0641\u0647\u0631\u0633\u062a\u06cc \u0628\u0647\u200c\u0639\u0646\u0648\u0627\u0646 \u0639\u0644\u0627\u0645\u062a \u0627\u0631\u0633\u0627\u0644 \u06a9\u0646\u06cc\u0645 <code>objs<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0648 DataFrame \u062d\u0627\u0635\u0644 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0645\u062a\u063a\u06cc\u0631 \u062c\u062f\u06cc\u062f \u0627\u062e\u062a\u0635\u0627\u0635 \u062f\u0647\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">df_row_concat = pd.concat((df2, df2_addition))\n\n<span class=\"hljs-built_in\">print<\/span>(df_row_concat)\n<\/code><\/pre>\n<p>\u0645\u0627 \u0628\u0627 \u0645\u0648\u0641\u0642\u06cc\u062a \u0645\u0642\u0627\u062f\u06cc\u0631 \u0627\u0632 \u062f\u0633\u062a \u0631\u0641\u062a\u0647 \u0631\u0627 \u067e\u0631 \u06a9\u0631\u062f\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">  user_id                         image_url\n0   id001  http:\/\/example.com\/img\/id001.png\n1   id002  http:\/\/example.com\/img\/id002.jpg\n2   id003  http:\/\/example.com\/img\/id003.bmp\n3   id004  http:\/\/example.com\/img\/id004.jpg\n4   id005  http:\/\/example.com\/img\/id005.png\n0   id006  http:\/\/example.com\/img\/id006.png\n1   id007  http:\/\/example.com\/img\/id007.jpg\n<\/code><\/pre>\n<p>\u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644\u060c \u0646\u06af\u0627\u0647\u06cc \u0628\u0647 \u0634\u0627\u062e\u0635 \u0647\u0627 \u062f\u0631 \u0633\u062a\u0648\u0646 \u0633\u0645\u062a \u0686\u067e \u0628\u06cc\u0646\u062f\u0627\u0632\u06cc\u062f.  \u0634\u0627\u062e\u0635 \u0647\u0627 <code>0<\/code> \u0648 <code>1<\/code> \u062f\u0631 \u062d\u0627\u0644 \u062a\u06a9\u0631\u0627\u0631 \u0647\u0633\u062a\u0646\u062f.  \u0628\u0631\u0627\u06cc \u0628\u062f\u0633\u062a \u0622\u0648\u0631\u062f\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0634\u0627\u062e\u0635 \u06a9\u0627\u0645\u0644\u0627\u064b \u062c\u062f\u06cc\u062f \u0648 \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f\u060c \u0639\u0628\u0648\u0631 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>True<\/code> \u0628\u0647 <code>ignore_index<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631:<\/p>\n<pre><code class=\"hljs\">df_row_concat = pd.concat((df2, df2_addition), ignore_index=<span class=\"hljs-literal\">True<\/span>)\n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0645\u0627 <code>df_row_concat<\/code> \u062f\u0627\u0631\u0627\u06cc \u0645\u0642\u0627\u062f\u06cc\u0631 \u0634\u0627\u062e\u0635 \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f:<\/p>\n<pre><code class=\"hljs\">  user_id                         image_url\n0   id001  http:\/\/example.com\/img\/id001.png\n1   id002  http:\/\/example.com\/img\/id002.jpg\n2   id003  http:\/\/example.com\/img\/id003.bmp\n3   id004  http:\/\/example.com\/img\/id004.jpg\n4   id005  http:\/\/example.com\/img\/id005.png\n5   id006  http:\/\/example.com\/img\/id006.png\n6   id007  http:\/\/example.com\/img\/id007.jpg\n<\/code><\/pre>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0642\u0628\u0644\u0627 \u0630\u06a9\u0631 \u06a9\u0631\u062f\u06cc\u0645\u060c \u0627\u0644\u062d\u0627\u0642 \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0647\u0645 \u0628\u0647 \u0635\u0648\u0631\u062a \u0627\u0641\u0642\u06cc \u0648 \u0647\u0645 \u0628\u0647 \u0635\u0648\u0631\u062a \u0639\u0645\u0648\u062f\u06cc \u06a9\u0627\u0631 \u06a9\u0646\u062f.  \u0628\u0631\u0627\u06cc \u0627\u062a\u0635\u0627\u0644 \u062f\u0648 DataFrame \u0628\u0647 \u06cc\u06a9\u062f\u06cc\u06af\u0631 \u0627\u0632 \u0646\u0638\u0631 \u0633\u062a\u0648\u0646\u06cc\u060c \u0628\u0627\u06cc\u062f \u0622\u0646 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u0645 <code>axis<\/code> \u0645\u0642\u062f\u0627\u0631 \u0627\u0632 \u067e\u06cc\u0634 \u0641\u0631\u0636 <code>0<\/code> \u0628\u0647 <code>1<\/code>:<\/p>\n<pre><code class=\"hljs\">df_column_concat = pd.concat((df1, df_row_concat), axis=<span class=\"hljs-number\">1<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(df_column_concat)\n<\/code><\/pre>\n<p>\u0645\u062a\u0648\u062c\u0647 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f \u06a9\u0647 \u0645\u0627\u0646\u0646\u062f \u0627\u062f\u063a\u0627\u0645\u060c \u0645\u0637\u0627\u0628\u0642\u062a \u0628\u0627 \u062f\u0648 \u062c\u062f\u0648\u0644 \u06a9\u0627\u0631 \u0646\u0645\u06cc \u06a9\u0646\u062f \u0631\u0648\u06cc \u06cc\u06a9 \u06a9\u0644\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\">  user_id first_name last_name                  email user_id                         image_url\n0   id001       Rivi     Valti    (email\u00a0protected)   id001  http:\/\/example.com\/img\/id001.png\n1   id002     Wynnie   McMurty  (email\u00a0protected)   id002  http:\/\/example.com\/img\/id002.jpg\n2   id003    Kristos   Ivanets  (email\u00a0protected)   id003  http:\/\/example.com\/img\/id003.bmp\n3   id004    Madalyn       Max      (email\u00a0protected)   id004  http:\/\/example.com\/img\/id004.jpg\n4   id005       Tobe   Riddich  (email\u00a0protected)   id005  http:\/\/example.com\/img\/id005.png\n5   id006      Regan    Huyghe    (email\u00a0protected)   id006  http:\/\/example.com\/img\/id006.png\n6   id007    Kristin     Illis    (email\u00a0protected)   id007  http:\/\/example.com\/img\/id007.jpg\n<\/code><\/pre>\n<p>\u0627\u06af\u0631 DataFrame \u0633\u0645\u062a \u0631\u0627\u0633\u062a \u0645\u0627 \u062d\u062a\u06cc \u0627\u0644\u0641 \u0646\u062f\u0627\u0634\u062a <code>user_id<\/code> \u0633\u062a\u0648\u0646\u060c \u0627\u06cc\u0646 \u0627\u0644\u062d\u0627\u0642 \u0647\u0645\u0686\u0646\u0627\u0646 \u0647\u0645\u0627\u0646 \u0646\u062a\u06cc\u062c\u0647 \u0631\u0627 \u0646\u0634\u0627\u0646 \u0645\u06cc \u062f\u0647\u062f.  \u0627\u06cc\u0646 <code>concat()<\/code> \u062a\u0627\u0628\u0639 <em>\u0686\u0633\u0628 \u0647\u0627<\/em> \u062f\u0648 DataFrame \u0628\u0627 \u0647\u0645\u060c \u0628\u0627 \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0646 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0634\u0627\u062e\u0635 \u0647\u0627\u06cc DataFrames \u0648 \u0634\u06a9\u0644 \u062c\u062f\u0648\u0644<\/p>\n<p>\u0645\u0627\u0646\u0646\u062f \u062a\u0637\u0628\u06cc\u0642 \u06a9\u0644\u06cc\u062f \u0631\u0627 \u0627\u0646\u062c\u0627\u0645 \u0646\u0645\u06cc \u062f\u0647\u062f <code>merge()<\/code> \u06cc\u0627 <code>join()<\/code>.  \u0628\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0627\u062f\u0646 \u062a\u0631\u06a9\u06cc\u0628\u0627\u062a \u0645\u062e\u062a\u0644\u0641 \u0627\u0644\u062d\u0627\u0642 \u0631\u0627 \u0627\u0645\u062a\u062d\u0627\u0646 \u06a9\u0646\u06cc\u062f <code>join<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0628\u0631\u0627\u06cc \u062f\u06cc\u062f\u0646 \u062a\u0641\u0627\u0648\u062a \u0647\u0627!<\/p>\n<h2 id=\"mergedataframesusingcombine_firstandupdate\"><span class=\"ez-toc-section\" id=\"%d8%a7%d8%af%d8%ba%d8%a7%d9%85_dataframes_%d8%a8%d8%a7_%d8%a7%d8%b3%d8%aa%d9%81%d8%a7%d8%af%d9%87_%d8%a7%d8%b2_combination_first_%d9%88_%d8%a8%d9%87_%d8%b1%d9%88%d8%b2_%d8%b1%d8%b3%d8%a7%d9%86%db%8c\"><\/span>\u0627\u062f\u063a\u0627\u0645 DataFrames \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <em>combination_first()<\/em> \u0648 <em>\u0628\u0647 \u0631\u0648\u0632 \u0631\u0633\u0627\u0646\u06cc()<\/em><span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>\u062f\u0631 \u0628\u0631\u062e\u06cc \u0645\u0648\u0627\u0631\u062f\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u0627\u0632 \u062f\u0633\u062a \u0631\u0641\u062a\u0647 \u062f\u0631 DataFrame \u062e\u0648\u062f \u0631\u0627 \u0628\u0627 \u0627\u062f\u063a\u0627\u0645 \u0622\u0646 \u0628\u0627 DataFrame \u062f\u06cc\u06af\u0631\u06cc \u067e\u0631 \u06a9\u0646\u06cc\u062f.  \u0628\u0627 \u0627\u0646\u062c\u0627\u0645 \u0627\u06cc\u0646 \u06a9\u0627\u0631\u060c \u062a\u0645\u0627\u0645 \u0645\u0642\u0627\u062f\u06cc\u0631 \u06af\u0645 \u0646\u0634\u062f\u0647 \u0631\u0627 \u062f\u0631 \u0627\u0648\u0644\u06cc\u0646 DataFrame \u0646\u06af\u0647 \u0645\u06cc \u062f\u0627\u0631\u06cc\u062f \u0648 \u062f\u0631 \u0639\u06cc\u0646 \u062d\u0627\u0644 \u0647\u0645\u0647 \u0631\u0627 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u0645\u06cc \u06a9\u0646\u06cc\u062f. <code>NaN<\/code> \u0645\u0642\u0627\u062f\u06cc\u0631 \u0628\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u063a\u06cc\u0631 \u0645\u0641\u0642\u0648\u062f \u0645\u0648\u062c\u0648\u062f \u0627\u0632 DataFrame \u062f\u0648\u0645 (\u062f\u0631 \u0635\u0648\u0631\u062a \u0648\u062c\u0648\u062f).<\/p>\n<p>\u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0645\u062b\u0627\u0644\u060c \u0645\u0627 import NumPy \u0628\u0631\u0627\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 <code>NaN<\/code> \u0627\u0631\u0632\u0634 \u0647\u0627\u06cc.  \u0627\u06af\u0631 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u0631\u0627 \u0628\u0627 <code>pip<\/code>\u060c NumPy \u0628\u0627\u06cc\u062f \u0642\u0628\u0644\u0627\u064b \u0646\u0635\u0628 \u0634\u062f\u0647 \u0628\u0627\u0634\u062f.<\/p>\n<p>\u06a9\u062f \u0632\u06cc\u0631 \u0631\u0627 \u062f\u0631 \u067e\u0648\u0633\u062a\u0647 \u06cc\u0627 \u0641\u0627\u06cc\u0644 \u0627\u0633\u06a9\u0631\u06cc\u067e\u062a \u067e\u0627\u06cc\u062a\u0648\u0646 \u062a\u0627\u06cc\u067e \u06a9\u0646\u06cc\u062f:<\/p>\n<pre><code class=\"hljs\"><span class=\"hljs-keyword\">import<\/span> numpy <span class=\"hljs-keyword\">as<\/span> np\n\ndf_first = pd.DataFrame({<span class=\"hljs-string\">'COL 1'<\/span>: (<span class=\"hljs-string\">'X'<\/span>, <span class=\"hljs-string\">'X'<\/span>, np.nan),\n                         <span class=\"hljs-string\">'COL 2'<\/span>: (<span class=\"hljs-string\">'X'<\/span>, np.nan, <span class=\"hljs-string\">'X'<\/span>),\n                         <span class=\"hljs-string\">'COL 3'<\/span>: (np.nan, <span class=\"hljs-string\">'X'<\/span>, <span class=\"hljs-string\">'X'<\/span>)},\n                        index=<span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">3<\/span>))\n\ndf_second = pd.DataFrame({<span class=\"hljs-string\">'COL 1'<\/span>: (np.nan, <span class=\"hljs-string\">'O'<\/span>, <span class=\"hljs-string\">'O'<\/span>),\n                          <span class=\"hljs-string\">'COL 2'<\/span>: (<span class=\"hljs-string\">'O'<\/span>, <span class=\"hljs-string\">'O'<\/span>, <span class=\"hljs-string\">'O'<\/span>)},\n                         index=<span class=\"hljs-built_in\">range<\/span>(<span class=\"hljs-number\">0<\/span>, <span class=\"hljs-number\">3<\/span>))\n\n<span class=\"hljs-built_in\">print<\/span>(df_first)\n<span class=\"hljs-built_in\">print<\/span>(df_second)\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 <code>df_first<\/code> DataFrame \u062f\u0627\u0631\u0627\u06cc 3 \u0633\u062a\u0648\u0646 \u0648 1 \u0645\u0642\u062f\u0627\u0631 \u06af\u0645 \u0634\u062f\u0647 \u062f\u0631 \u0647\u0631 \u06cc\u06a9 \u0627\u0632 \u0622\u0646\u0647\u0627 \u0627\u0633\u062a:<\/p>\n<pre><code class=\"hljs\">  COL 1 COL 2 COL 3\n0     X     X   NaN\n1     X   NaN     X\n2   NaN     X     X\n<\/code><\/pre>\n<p>\u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 <code>df_second<\/code> \u0641\u0642\u0637 2 \u0633\u062a\u0648\u0646 \u0648 \u06cc\u06a9 \u0645\u0642\u062f\u0627\u0631 \u0627\u0632 \u062f\u0633\u062a \u0631\u0641\u062a\u0647 \u062f\u0631 \u0633\u062a\u0648\u0646 \u0627\u0648\u0644 \u062f\u0627\u0631\u062f:<\/p>\n<pre><code class=\"hljs\">  COL 1 COL 2\n0   NaN     O\n1     O     O\n2     O     O\n<\/code><\/pre>\n<p>\u0645\u0627 \u0645\u06cc\u062a\u0648\u0627\u0646\u06cc\u0645 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u0645 <code>df_second<\/code> \u0628\u0647 <em>\u067e\u0686<\/em> \u0645\u0642\u0627\u062f\u06cc\u0631 \u0627\u0632 \u062f\u0633\u062a \u0631\u0641\u062a\u0647 \u062f\u0631 <code>df_first<\/code> \u0628\u0627 \u062a\u0645\u0627\u0645 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0631\u0628\u0648\u0637\u0647:<\/p>\n<pre><code class=\"hljs\">df_tictactoe = df_first.combine_first(df_second)\n\n<span class=\"hljs-built_in\">print<\/span>(df_tictactoe)\n<\/code><\/pre>\n<p>\u0647\u0645\u0627\u0646\u0637\u0648\u0631 \u06a9\u0647 \u0642\u0628\u0644\u0627 \u0630\u06a9\u0631 \u0634\u062f\u060c \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>combine_first()<\/code> \u0631\u0648\u0634 \u0641\u0642\u0637 \u062c\u0627\u06cc\u06af\u0632\u06cc\u0646 \u062e\u0648\u0627\u0647\u062f \u0634\u062f <code>NaN<\/code> \u0645\u0642\u0627\u062f\u06cc\u0631 \u0631\u0627 \u0628\u0647 \u062a\u0631\u062a\u06cc\u0628 \u0641\u0647\u0631\u0633\u062a \u0628\u0646\u062f\u06cc \u0645\u06cc \u06a9\u0646\u062f\u060c \u0648 \u062a\u0645\u0627\u0645 \u0645\u0642\u0627\u062f\u06cc\u0631 \u063a\u06cc\u0631 \u0627\u0632 \u062f\u0633\u062a \u0631\u0641\u062a\u0647 \u0631\u0627 \u062f\u0631 \u0627\u0648\u0644\u06cc\u0646 DataFrame \u0628\u0647 \u0647\u0645\u0627\u0646 \u0635\u0648\u0631\u062a \u0628\u0627\u0642\u06cc \u0645\u06cc \u06af\u0630\u0627\u0631\u062f:<\/p>\n<pre><code class=\"hljs\">  COL 1 COL 2 COL 3\n0     X     X   NaN\n1     X     O     X\n2     O     X     X\n<\/code><\/pre>\n<p>\u0627\u0632 \u0637\u0631\u0641 \u062f\u06cc\u06af\u0631\u060c \u0627\u06af\u0631 \u0628\u062e\u0648\u0627\u0647\u06cc\u0645 \u0645\u0642\u0627\u062f\u06cc\u0631 \u062f\u0631 \u0631\u0627 \u0628\u0627\u0632\u0646\u0648\u06cc\u0633\u06cc \u06a9\u0646\u06cc\u0645 <code>df_first<\/code> \u0628\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0631\u0628\u0648\u0637\u0647 \u0627\u0632 <code>df_second<\/code> (\u0635\u0631\u0641 \u0646\u0638\u0631 \u0627\u0632 \u0627\u06cc\u0646\u06a9\u0647 NaN \u0628\u0627\u0634\u0646\u062f \u06cc\u0627 \u0646\u0628\u0627\u0634\u0646\u062f)\u060c \u0645\u0627 \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645 <code>update()<\/code> \u0631\u0648\u0634.<\/p>\n<p>\u0628\u06cc\u0627\u06cc\u06cc\u062f \u0627\u0628\u062a\u062f\u0627 \u06cc\u06a9 DataFrame \u062f\u06cc\u06af\u0631 \u0628\u0647 \u06a9\u062f \u062e\u0648\u062f \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u0645:<\/p>\n<pre><code class=\"hljs\">df_third = pd.DataFrame({<span class=\"hljs-string\">'COL 1'<\/span>: (<span class=\"hljs-string\">'O'<\/span>), <span class=\"hljs-string\">'COL 2'<\/span>: (<span class=\"hljs-string\">'O'<\/span>), <span class=\"hljs-string\">'COL 3'<\/span>: (<span class=\"hljs-string\">'O'<\/span>)})\n\n<span class=\"hljs-built_in\">print<\/span>(df_third)\n<\/code><\/pre>\n<p>\u0634\u06a9\u0644 (1\u060c 3) \u0627\u0633\u062a &#8211; 1 \u0631\u062f\u06cc\u0641 \u0648 \u0633\u0647 \u0633\u062a\u0648\u0646\u060c \u0628\u0647 \u0627\u0633\u062a\u062b\u0646\u0627\u06cc \u0634\u0627\u062e\u0635:<\/p>\n<pre><code class=\"hljs\">  COL 1 COL 2 COL 3\n0     O     O     O\n<\/code><\/pre>\n<p>\u062d\u0627\u0644\u0627 \u0628\u06cc\u0627\u06cc\u06cc\u062f \u0628\u0647 \u0631\u0648\u0632 \u0631\u0633\u0627\u0646\u06cc \u06a9\u0646\u06cc\u0645 <code>df_first<\/code> \u0628\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0627\u0632 <code>df_third<\/code>:<\/p>\n<pre><code class=\"hljs\">df_first.update(df_third)\n\n<span class=\"hljs-built_in\">print<\/span>(df_first)\n<\/code><\/pre>\n<p>\u0628\u0647 \u062e\u0627\u0637\u0631 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f \u06a9\u0647 \u0628\u0631 \u062e\u0644\u0627\u0641 <code>combine_first()<\/code>\u060c <code>update()<\/code> DataFrame \u062c\u062f\u06cc\u062f\u06cc \u0631\u0627 \u0628\u0631 \u0646\u0645\u06cc \u06af\u0631\u062f\u0627\u0646\u062f.  \u0631\u0627 \u0627\u0635\u0644\u0627\u062d \u0645\u06cc \u06a9\u0646\u062f <code>df_first<\/code> \u062f\u0631 \u0645\u062d\u0644\u060c \u0628\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0631\u0628\u0648\u0637\u0647:<\/p>\n<pre><code class=\"hljs\">  COL 1 COL 2 COL 3\n0     O     O     O\n1     X   NaN     X\n2   NaN     X     X\n<\/code><\/pre>\n<p>\u0627\u06cc\u0646 <code>overwrite<\/code> \u067e\u0627\u0631\u0627\u0645\u062a\u0631 \u0627\u0632 <code>update()<\/code> \u062a\u0627\u0628\u0639 \u062a\u0646\u0638\u06cc\u0645 \u0634\u062f\u0647 \u0627\u0633\u062a <code>True<\/code> \u0628\u0647 \u0635\u0648\u0631\u062a \u067e\u06cc\u0634 \u0641\u0631\u0636.  \u0628\u0647 \u0647\u0645\u06cc\u0646 \u062f\u0644\u06cc\u0644 \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u062c\u0627\u06cc \u062a\u0646\u0647\u0627\u060c \u0647\u0645\u0647 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0645\u0631\u0628\u0648\u0637\u0647 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u06cc \u062f\u0647\u062f <code>NaN<\/code> \u0627\u0631\u0632\u0634 \u0647\u0627\u06cc.  \u0645\u0627 \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u0645 \u0622\u0646 \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u0645 <code>False<\/code> \u0641\u0642\u0637 \u0628\u0631\u0627\u06cc \u062a\u0639\u0648\u06cc\u0636 <code>NaN<\/code> \u0627\u0631\u0632\u0634 \u0647\u0627\u06cc:<\/p>\n<pre><code class=\"hljs\">df_tictactoe.update(df_first, overwrite=<span class=\"hljs-literal\">False<\/span>)\n\n<span class=\"hljs-built_in\">print<\/span>(df_tictactoe)\n<\/code><\/pre>\n<p>\u062f\u0631 \u0627\u06cc\u0646\u062c\u0627 \u0622\u062e\u0631\u06cc\u0646 \u0648\u0636\u0639\u06cc\u062a \u0645\u0627 \u0627\u0633\u062a <code>df_tictactoe<\/code> DataFrame:<\/p>\n<pre><code class=\"hljs\">  COL 1 COL 2 COL 3\n0     X     X     O\n1     X     O     X\n2     O     X     X\n<\/code><\/pre>\n<p>\u0645\u0627 \u0646\u0647 \u062a\u0646\u0647\u0627 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0631\u0627 \u0628\u0627 \u0645\u0648\u0641\u0642\u06cc\u062a \u0628\u0647 \u0631\u0648\u0632 \u06a9\u0631\u062f\u06cc\u0645\u060c \u0628\u0644\u06a9\u0647 \u062f\u0631 \u0628\u0627\u0632\u06cc \u062a\u06cc\u06a9 \u062a\u0627\u06a9 \u062a\u0648 \u0646\u06cc\u0632 \u0628\u0631\u0646\u062f\u0647 \u0634\u062f\u06cc\u0645!<\/p>\n<h2 id=\"conclusion\"><span class=\"ez-toc-section\" id=\"%d9%86%d8%aa%db%8c%d8%ac%d9%87\"><\/span>\u0646\u062a\u06cc\u062c\u0647<span class=\"ez-toc-section-end\"><\/span><\/h2>\n<p>Pandas \u0627\u0628\u0632\u0627\u0631\u0647\u0627\u06cc \u0642\u062f\u0631\u062a\u0645\u0646\u062f\u06cc \u0628\u0631\u0627\u06cc \u0627\u062f\u063a\u0627\u0645 DataFrames \u0641\u0631\u0627\u0647\u0645 \u0645\u06cc \u06a9\u0646\u062f.  \u0627\u0645\u0627 \u062a\u0635\u0645\u06cc\u0645 \u06af\u06cc\u0631\u06cc \u062f\u0631 \u0645\u0648\u0631\u062f \u0632\u0645\u0627\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0686\u0647 \u0686\u06cc\u0632\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u062f \u0633\u062e\u062a \u0628\u0627\u0634\u062f.  \u062f\u0631 \u062d\u0627\u0644\u06cc \u06a9\u0647 \u0627\u06a9\u062b\u0631 \u0645\u0648\u0627\u0642\u0639 <code>merge()<\/code> \u0639\u0645\u0644\u06a9\u0631\u062f \u06a9\u0627\u0641\u06cc \u0627\u0633\u062a\u060c \u0628\u0631\u0627\u06cc \u0628\u0631\u062e\u06cc \u0645\u0648\u0627\u0631\u062f \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u062e\u0648\u0627\u0647\u06cc\u062f \u0627\u0632 \u0622\u0646 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f <code>concat()<\/code> \u0628\u0631\u0627\u06cc \u0627\u062f\u063a\u0627\u0645 \u0631\u062f\u06cc\u0641\u06cc \u06cc\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 <code>join()<\/code> \u0628\u0627 \u067e\u0633\u0648\u0646\u062f\u0647\u0627\u060c \u06cc\u0627 \u062e\u0644\u0627\u0635 \u0634\u062f\u0646 \u0627\u0632 \u0634\u0631 \u0645\u0642\u0627\u062f\u06cc\u0631 \u0627\u0632 \u062f\u0633\u062a \u0631\u0641\u062a\u0647 \u0628\u0627 <code>combine_first()<\/code> \u0648 <code>update()<\/code>.  \u062d\u062a\u06cc \u0645\u06cc \u062a\u0648\u0627\u0646\u06cc\u062f \u0631\u062f\u06cc\u0641 \u0647\u0627\u06cc\u06cc \u0627\u0632 \u062f\u0627\u062f\u0647 \u0647\u0627 \u0631\u0627 \u0628\u0627 \u0622\u0646 \u0627\u0636\u0627\u0641\u0647 \u06a9\u0646\u06cc\u062f <code>append()<\/code>.<\/p>\n<p>\u0627\u0632 \u0639\u0645\u0644\u06a9\u0631\u062f\u06cc \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0628\u06cc\u0634\u062a\u0631 \u0628\u0627 \u0622\u0646 \u0631\u0627\u062d\u062a \u0647\u0633\u062a\u06cc\u062f \u0648 \u0628\u0631\u0627\u06cc \u06a9\u0627\u0631 \u062f\u0631 \u062f\u0633\u062a\u062a\u0627\u0646 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0627\u0633\u062a.  \u0686\u06af\u0648\u0646\u0647 \u0627\u06cc\u0646 \u062a\u0648\u0627\u0628\u0639 \u0628\u0647 \u0634\u0645\u0627 \u062f\u0631 \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u062f\u0631 \u067e\u0627\u0646\u062f\u0627\u0647\u0627 \u06a9\u0645\u06a9 \u0645\u06cc \u06a9\u0646\u062f\u061f<\/p>\n<\/div>\n<p><script>\n                        !function(f,b,e,v,n,t,s)\n                        {if(f.fbq)return;n=f.fbq=function(){n.callMethod?\n                        n.callMethod.apply(n,arguments):n.queue.push(arguments)};\n                        if(!f._fbq)f._fbq=n;n.push=n;n.loaded=!0;n.version='2.0';\n                        n.queue=();t=b.createElement(e);t.async=!0;\n                        t.src=v;s=b.getElementsByTagName(e)(0);\n                        s.parentNode.insertBefore(t,s)}(window, document,'script',\n                        'https:\/\/connect.facebook.net\/en_US\/fbevents.js');\n                        fbq('init', '525232124909042');\n                        fbq('track', 'PageView');\n                    <\/script>    (\u0628\u0631\u0686\u0633\u0628\u200c\u0647\u0627 \u0628\u0647 \u062a\u0631\u062c\u0645\u0647)# python<br \/>\n<br \/><br \/>\n<br \/>\u0645\u0646\u062a\u0634\u0631 \u0634\u062f\u0647 \u062f\u0631 1403-01-13 08:23:03<br \/>\n<\/p>\n\n\n<div class=\"kk-star-ratings kksr-auto kksr-align-center kksr-valign-bottom\"\n    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\u0631\u0627\u06cc)&quot;,&quot;font_factor&quot;:&quot;1.25&quot;}'>\n            \n<div class=\"kksr-stars\">\n    \n<div class=\"kksr-stars-inactive\">\n            <div class=\"kksr-star\" data-star=\"1\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"2\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"3\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"4\" style=\"padding-left: 5px\">\n            \n\n<div class=\"kksr-icon\" style=\"width: 30px; height: 30px;\"><\/div>\n        <\/div>\n            <div class=\"kksr-star\" data-star=\"5\" style=\"padding-left: 5px\">\n            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30px;\"><\/div>\n        <\/div>\n    <\/div>\n<\/div>\n                \n\n<div class=\"kksr-legend\" style=\"font-size: 24px;\">\n            <span class=\"kksr-muted\">\u0627\u0645\u062a\u06cc\u0627\u0632 \u0634\u0645\u0627 \u0628\u0647 \u0627\u06cc\u0646 \u0645\u0637\u0644\u0628<\/span>\n    <\/div>\n    <\/div>\n","protected":false},"excerpt":{"rendered":"<p><span class=\"span-reading-time rt-reading-time\" style=\"display: block;\"><span class=\"rt-label rt-prefix\">\u0632\u0645\u0627\u0646 \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647: <\/span> <span class=\"rt-time\"> 11<\/span> <span class=\"rt-label rt-postfix\">\u062f\u0642\u06cc\u0642\u0647<\/span><\/span>\u0645\u0639\u0631\u0641\u06cc Pandas \u0637\u06cc\u0641 \u0648\u0633\u06cc\u0639\u06cc \u0627\u0632 \u0631\u0648\u0634 \u0647\u0627 \u0648 \u0639\u0645\u0644\u06a9\u0631\u062f\u0647\u0627 \u0631\u0627 \u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc \u062f\u0627\u062f\u0647 \u0647\u0627 \u0627\u0632 \u062c\u0645\u0644\u0647 \u0627\u062f\u063a\u0627\u0645 DataFrames \u0627\u0631\u0627\u0626\u0647 \u0645\u06cc \u062f\u0647\u062f. \u0627\u062f\u063a\u0627\u0645 DataFrames \u0628\u0647 \u0634\u0645\u0627 \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0631\u0627 \u0645\u06cc \u062f\u0647\u062f \u06a9\u0647 \u0647\u0645 \u0628\u062f\u0648\u0646 \u062a\u063a\u06cc\u06cc\u0631 \u0645\u0646\u0628\u0639 \u062f\u0627\u062f\u0647 \u0627\u0635\u0644\u06cc \u06cc\u06a9 DataFrame \u062c\u062f\u06cc\u062f \u0627\u06cc\u062c\u0627\u062f \u06a9\u0646\u06cc\u062f \u0648 \u0647\u0645 \u0645\u0646\u0628\u0639 \u062f\u0627\u062f\u0647 \u0627\u0635\u0644\u06cc \u0631\u0627 \u062a\u063a\u06cc\u06cc\u0631 \u062f\u0647\u06cc\u062f. \u0627\u06af\u0631 \u0628\u0627 SQL \u06cc\u0627 \u0646\u0648\u0639 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