{"id":2355,"date":"2023-07-22T15:28:02","date_gmt":"2023-07-22T15:28:02","guid":{"rendered":"https:\/\/statorials.org\/hi\/%e0%a4%aa%e0%a4%be%e0%a4%af%e0%a4%a5%e0%a4%a8-%e0%a4%ae%e0%a5%87%e0%a4%82-rbind\/"},"modified":"2023-07-22T15:28:02","modified_gmt":"2023-07-22T15:28:02","slug":"%e0%a4%aa%e0%a4%be%e0%a4%af%e0%a4%a5%e0%a4%a8-%e0%a4%ae%e0%a5%87%e0%a4%82-rbind","status":"publish","type":"post","link":"https:\/\/statorials.org\/hi\/%e0%a4%aa%e0%a4%be%e0%a4%af%e0%a4%a5%e0%a4%a8-%e0%a4%ae%e0%a5%87%e0%a4%82-rbind\/","title":{"rendered":"\u092a\u093e\u092f\u0925\u0928 \u092e\u0947\u0902 rbind \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902 (r \u0915\u0947 \u092c\u0930\u093e\u092c\u0930)"},"content":{"rendered":"

<\/p>\n

\n

R \u092e\u0947\u0902 rbind<\/strong> \u092b\u093c\u0902\u0915\u094d\u0936\u0928, row-bind<\/em> \u0915\u0947 \u0932\u093f\u090f \u0938\u0902\u0915\u094d\u0937\u093f\u092a\u094d\u0924, \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0921\u0947\u091f\u093e \u092b\u093c\u094d\u0930\u0947\u092e \u0915\u094b \u0909\u0928\u0915\u0940 \u092a\u0902\u0915\u094d\u0924\u093f\u092f\u094b\u0902 \u0926\u094d\u0935\u093e\u0930\u093e \u090f\u0915 \u0938\u093e\u0925 \u0938\u0902\u092f\u094b\u091c\u093f\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964<\/span><\/p>\n

\u0939\u092e \u092a\u093e\u092f\u0925\u0928 \u092e\u0947\u0902 \u0938\u092e\u0924\u0941\u0932\u094d\u092f \u0915\u093e\u0930\u094d\u092f \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u092a\u093e\u0902\u0921\u093e \u0915\u0949\u0928\u094d\u0938\u0948\u091f()<\/a> \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n

 df3 = pd. concat<\/span> ([df1, df2])\n<\/strong><\/pre>\n
 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0909\u0926\u093e\u0939\u0930\u0923 \u0926\u093f\u0916\u093e\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u0935\u094d\u092f\u0935\u0939\u093e\u0930 \u092e\u0947\u0902 \u0907\u0938 \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902\u0964<\/span><\/p>\n
 \u0909\u0926\u093e\u0939\u0930\u0923 1: \u092a\u093e\u092f\u0925\u0928 \u092e\u0947\u0902 \u0938\u092e\u093e\u0928 \u0915\u0949\u0932\u092e \u0915\u0947 \u0938\u093e\u0925 rbind \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0947\u0902<\/strong><\/span><\/h3>\n
 \u0906\u0907\u090f \u092e\u093e\u0928 \u0932\u0947\u0902 \u0915\u093f \u0939\u092e\u093e\u0930\u0947 \u092a\u093e\u0938 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0926\u094b \u092a\u093e\u0902\u0921\u093e \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u0939\u0948\u0902:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#define DataFrames\ndf1 = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E'],\n                    ' points<\/span> ': [99, 91, 104, 88, 108]})\n\nprint<\/span> (df1)\n\n  team points\n0 to 99\n1 B 91\n2 C 104\n3 D 88\n4 E 108\n\ndf2 = pd. DataFrame<\/span> ({' assists<\/span> ': ['F', 'G', 'H', 'I', 'J'],\n                    ' rebounds<\/span> ': [91, 88, 85, 87, 95]})\n\nprint<\/span> (df2)\n\n  team points\n0 F 91\n1 G 88\n2:85\n3 I 87\n4 days 95\n<\/span><\/span><\/strong><\/pre>\n
 \u0939\u092e \u0907\u0928 \u0926\u094b \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e\u094b\u0902 \u0915\u094b \u0909\u0928\u0915\u0940 \u092a\u0902\u0915\u094d\u0924\u093f\u092f\u094b\u0902 \u0926\u094d\u0935\u093e\u0930\u093e \u0936\u0940\u0918\u094d\u0930\u0924\u093e \u0938\u0947 \u091c\u094b\u0921\u093c\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f concat()<\/strong> \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n
 #row-bind two DataFrames\ndf3 = pd. concat<\/span> ([df1, df2])\n\n#view resulting DataFrame\n<\/span>df3\n\n\tteam points\n0 to 99\n1 B 91\n2 C 104\n3 D 88\n4 E 108\n0 F 91\n1 G 88\n2:85\n3 I 87\n4 days 95\n<\/span><\/span><\/strong><\/pre>\n
 \u0927\u094d\u092f\u093e\u0928 \u0926\u0947\u0902 \u0915\u093f \u0939\u092e \u0928\u090f \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u0915\u0947 \u0938\u0942\u091a\u0915\u093e\u0902\u0915 \u092e\u093e\u0928\u094b\u0902 \u0915\u094b \u0930\u0940\u0938\u0947\u091f \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0930\u0940\u0938\u0947\u091f_\u0907\u0902\u0921\u0947\u0915\u094d\u0938() \u0915\u093e<\/strong> \u092d\u0940 \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n
 #row-bind two DataFrames and reset index values\ndf3 = pd. concat<\/span> ([df1, df2]). reset_index<\/span> (drop= True<\/span> )\n\n#view resulting DataFrame\n<\/span>df3\n\n\tteam points\n0 to 99\n1 B 91\n2 C 104\n3 D 88\n4 E 108\n5 F 91\n6 G 88\n7:85 a.m.\n8 I 87\n9 D 95<\/span><\/span><\/strong><\/pre>\n
 \u0909\u0926\u093e\u0939\u0930\u0923 2: \u0905\u0938\u092e\u093e\u0928 \u0915\u0949\u0932\u092e \u0915\u0947 \u0938\u093e\u0925 \u092a\u093e\u092f\u0925\u0928 \u092e\u0947\u0902 rbind \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u093e<\/strong><\/span><\/h3>\n
 \u0939\u092e \u0926\u094b \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e\u094b\u0902 \u0915\u094b \u090f\u0915 \u0938\u093e\u0925 \u091c\u094b\u0921\u093c\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0915\u0949\u0928\u0915\u0948\u091f()<\/strong> \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u092d\u0940 \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902 \u091c\u093f\u0928\u092e\u0947\u0902 \u0905\u0938\u092e\u093e\u0928 \u0938\u0902\u0916\u094d\u092f\u093e \u092e\u0947\u0902 \u0915\u0949\u0932\u092e \u0939\u0948\u0902 \u0914\u0930 \u0915\u094b\u0908 \u092d\u0940 \u0932\u093e\u092a\u0924\u093e \u092e\u093e\u0928 \u0915\u0947\u0935\u0932 NaN \u0938\u0947 \u092d\u0930\u093e \u091c\u093e\u090f\u0917\u093e:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#define DataFrames\ndf1 = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E'],\n                    ' points<\/span> ': [99, 91, 104, 88, 108]})\n\ndf2 = pd. DataFrame<\/span> ({' team<\/span> ': ['F', 'G', 'H', 'I', 'J'],\n                    ' points<\/span> ': [91, 88, 85, 87, 95],\n                    ' rebounds<\/span> ': [24, 27, 27, 30, 35]})<\/span>\n\n#row-bind two DataFrames\ndf3 = pd. concat<\/span> ([df1, df2]). reset_index<\/span> (drop= True<\/span> )\n<\/span>\n#view resulting DataFrame\ndf3\n\n\tteam points rebounds\n0 to 99 NaN\n1 B 91 NaN\n2 C 104 NaN\n3 D 88 NaN\n4 E 108 NaN\n5 F 91 24.0\n6G 88 27.0\n7:85 AM 27.0\n8 I 87 30.0\n9 D 95 35.0<\/span><\/span><\/strong><\/pre>\n
 \u0905\u0924\u093f\u0930\u093f\u0915\u094d\u0924 \u0938\u0902\u0938\u093e\u0927\u0928<\/strong><\/span><\/h3>\n
 \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u092c\u0924\u093e\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u092a\u093e\u092f\u0925\u0928 \u092e\u0947\u0902 \u0905\u0928\u094d\u092f \u0938\u093e\u092e\u093e\u0928\u094d\u092f \u0915\u093e\u0930\u094d\u092f \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902:<\/span><\/p>\n
\u092a\u093e\u092f\u0925\u0928 \u092e\u0947\u0902 cbind \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902 (R \u0915\u0947 \u092c\u0930\u093e\u092c\u0930)<\/a>
 \u092a\u0902\u0921\u094b\u0902 \u092e\u0947\u0902 VLOOKUP \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/a>
 \u092a\u093e\u0902\u0921\u093e \u092e\u0947\u0902 \u0935\u093f\u0936\u093f\u0937\u094d\u091f \u092e\u093e\u0928 \u0935\u093e\u0932\u0940 \u092a\u0902\u0915\u094d\u0924\u093f\u092f\u094b\u0902 \u0915\u094b \u0915\u0948\u0938\u0947 \u0939\u091f\u093e\u090f\u0902<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
R \u092e\u0947\u0902 rbind \u092b\u093c\u0902\u0915\u094d\u0936\u0928, row-bind \u0915\u0947 \u0932\u093f\u090f \u0938\u0902\u0915\u094d\u0937\u093f\u092a\u094d\u0924, \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0921\u0947\u091f\u093e \u092b\u093c\u094d\u0930\u0947\u092e \u0915\u094b \u0909\u0928\u0915\u0940 \u092a\u0902\u0915\u094d\u0924\u093f\u092f\u094b\u0902 \u0926\u094d\u0935\u093e\u0930\u093e \u090f\u0915 \u0938\u093e\u0925 \u0938\u0902\u092f\u094b\u091c\u093f\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964 \u0939\u092e \u092a\u093e\u092f\u0925\u0928 \u092e\u0947\u0902 \u0938\u092e\u0924\u0941\u0932\u094d\u092f \u0915\u093e\u0930\u094d\u092f \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u092a\u093e\u0902\u0921\u093e \u0915\u0949\u0928\u094d\u0938\u0948\u091f() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902: df3 = pd. concat ([df1, df2]) \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0909\u0926\u093e\u0939\u0930\u0923 \u0926\u093f\u0916\u093e\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u0935\u094d\u092f\u0935\u0939\u093e\u0930 \u092e\u0947\u0902 […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-2355","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"\n\u092a\u093e\u092f\u0925\u0928 \u092e\u0947\u0902 rbind \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902 (R \u0915\u0947 \u0938\u092e\u0924\u0941\u0932\u094d\u092f) - \u0938\u094d\u091f\u0947\u091f\u094b\u0932\u0949\u091c\u0940<\/title>\n<meta name=\"description\" content=\"\u092f\u0939 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u092a\u093e\u092f\u0925\u0928 \u092e\u0947\u0902 \u0926\u094b \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u0915\u094b \u090f\u0915 \u0938\u093e\u0925 \u0915\u0948\u0938\u0947 \u092c\u093e\u0902\u0927\u093e \u091c\u093e\u090f, \u091c\u094b \u0906\u0930 \u092e\u0947\u0902 rbind \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u0947 \u0915\u0947 \u092c\u0930\u093e\u092c\u0930 \u0939\u0948\u0964\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/hi\/\u092a\u093e\u092f\u0925\u0928-\u092e\u0947\u0902-rbind\/\" \/>\n<meta property=\"og:locale\" content=\"hi_IN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u092a\u093e\u092f\u0925\u0928 \u092e\u0947\u0902 rbind \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902 (R \u0915\u0947 \u0938\u092e\u0924\u0941\u0932\u094d\u092f) - \u0938\u094d\u091f\u0947\u091f\u094b\u0932\u0949\u091c\u0940\" \/>\n<meta property=\"og:description\" content=\"\u092f\u0939 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u092c\u0924\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u092a\u093e\u092f\u0925\u0928 \u092e\u0947\u0902 \u0926\u094b \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u0915\u094b \u090f\u0915 \u0938\u093e\u0925 \u0915\u0948\u0938\u0947 \u092c\u093e\u0902\u0927\u093e \u091c\u093e\u090f, \u091c\u094b \u0906\u0930 \u092e\u0947\u0902 rbind \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0928\u0947 \u0915\u0947 \u092c\u0930\u093e\u092c\u0930 \u0939\u0948\u0964\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/hi\/\u092a\u093e\u092f\u0925\u0928-\u092e\u0947\u0902-rbind\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-22T15:28:02+00:00\" \/>\n<meta name=\"author\" content=\"\u0921\u0949. \u092c\u0947\u0902\u091c\u093e\u092e\u093f\u0928 \u090f\u0902\u0921\u0930\u0938\u0928\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"\u0926\u094d\u0935\u093e\u0930\u093e \u0932\u093f\u0916\u093f\u0924\" \/>\n\t<meta name=\"twitter:data1\" content=\"\u0921\u0949. \u092c\u0947\u0902\u091c\u093e\u092e\u093f\u0928 \u090f\u0902\u0921\u0930\u0938\u0928\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u0905\u0928\u0941\u092e\u093e\u0928\u093f\u0924 \u092a\u0922\u093c\u0928\u0947 \u0915\u093e \u0938\u092e\u092f\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 \u092e\u093f\u0928\u091f\" \/>\n<script type=\"application\/ld+json\" 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