{"id":2029,"date":"2023-07-24T00:41:54","date_gmt":"2023-07-24T00:41:54","guid":{"rendered":"https:\/\/statorials.org\/id\/pandas-menambahkan-dua-kerangka-data\/"},"modified":"2023-07-24T00:41:54","modified_gmt":"2023-07-24T00:41:54","slug":"pandas-menambahkan-dua-kerangka-data","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/pandas-menambahkan-dua-kerangka-data\/","title":{"rendered":"Cara menambahkan dua dataframe pandas (dengan contoh)"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan sintaks dasar berikut untuk menambahkan dua panda DataFrames ke dalam satu DataFrame:<\/span><\/p>\n

 big_df = pd. concat<\/span> ([df1, df2], ignore_index= True<\/span> )\n<\/strong><\/pre>\n
 Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya.<\/span><\/p>\n
 Contoh 1: Tambahkan dua Pandas DataFrames<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara menambahkan dua panda DataFrames bersama-sama ke dalam satu DataFrame:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create two DataFrames\n<\/span>df1 = pd. DataFrame<\/span> ({' x<\/span> ': [25, 14, 16, 27, 20, 12, 15, 14, 19],\n                    ' y<\/span> ': [5, 7, 7, 5, 7, 6, 9, 9, 5],\n                    ' z<\/span> ': [8, 8, 10, 6, 6, 9, 6, 9, 7]})\n\ndf2 = pd. DataFrame<\/span> ({' x<\/span> ': [58, 60, 65],\n                    ' y<\/span> ': [14, 22, 23],\n                    ' z<\/span> ': [9, 12, 19]})\n\n#append two DataFrames together\n<\/span>combined = pd. concat<\/span> ([df1, df2], ignore_index= True<\/span> )\n\n#view final DataFrame\n<\/span>combined\n\n\tX Y Z\n0 25 5 8\n1 14 7 8\n2 16 7 10\n3 27 5 6\n4 20 7 6\n5 12 6 9\n6 15 9 6\n7 14 9 9\n8 19 5 7\n9 58 14 9\n10 60 22 12\n11 65 23 19<\/strong><\/pre>\n
 Contoh 2: Tambahkan lebih dari dua Pandas DataFrames<\/strong><\/span><\/h3>\n
 Perhatikan bahwa Anda dapat menggunakan fungsi pd.concat()<\/strong> untuk menambahkan lebih dari dua panda DataFrames secara bersamaan:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create three DataFrames<\/span>\ndf1 = pd. DataFrame<\/span> ({' x<\/span> ': [25, 14, 16],\n                    ' y<\/span> ': [5, 7, 7]})\n\ndf2 = pd. DataFrame<\/span> ({' x<\/span> ': [58, 60, 65],\n                    ' y<\/span> ': [14, 22, 23]})\n\ndf3 = pd. DataFrame<\/span> ({' x<\/span> ': [58, 61, 77],\n                    ' y<\/span> ': [10, 12, 19]})\n<\/span>\n#append all three DataFrames together\n<\/span>combined = pd. concat<\/span> ([df1, df2, df3], ignore_index= True<\/span> )\n\n#view final DataFrame\n<\/span>combined\n\n\tx y\n0 25 5\n1 14 7\n2 16 7\n3 58 14\n4 60 22\n5 65 23\n6 58 10\n7 61 12\n8 77 19\n<\/strong><\/pre>\n
 Perhatikan bahwa jika kita tidak menggunakan argumen abaikan_index<\/strong> , indeks DataFrame yang dihasilkan akan mempertahankan nilai indeks asli untuk setiap DataFrame individual:<\/span><\/p>\n
 #append all three DataFrames together\n<\/span>combined = pd. concat<\/span> ([df1, df2, df3])\n\n#view final DataFrame\n<\/span>combined\n\n\tx y\n0 25 5\n1 14 7\n2 16 7\n0 58 14\n1 60 22\n2 65 23\n0 58 10\n1 61 12\n2 77 19<\/strong><\/pre>\n
 Anda dapat menemukan dokumentasi online lengkap tentang fungsi pandas.concat()<\/strong> di sini<\/a> .<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Tutorial berikut menjelaskan cara menjalankan fungsi umum lainnya di panda:<\/span><\/p>\n
 Cara menggunakan Pandas fillna() untuk mengganti nilai NaN<\/a>
 Cara menggabungkan Pandas DataFrames di beberapa kolom<\/a>
 Cara menggabungkan dua Pandas DataFrames di index<\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan sintaks dasar berikut untuk menambahkan dua panda DataFrames ke dalam satu DataFrame: big_df = pd. concat ([df1, df2], ignore_index= True ) Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya. Contoh 1: Tambahkan dua Pandas DataFrames Kode berikut menunjukkan cara menambahkan dua panda DataFrames bersama-sama ke dalam satu DataFrame: import pandas as […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11],"tags":[],"yoast_head":"\nCara Menambahkan Dua Pandas DataFrames (dengan Contoh) - Statorials<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara menambahkan dua panda DataFrames bersama-sama menjadi satu DataFrame, termasuk contohnya.\" \/>\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\/id\/pandas-menambahkan-dua-kerangka-data\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara Menambahkan Dua Pandas DataFrames (dengan Contoh) - Statorials\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara menambahkan dua panda DataFrames bersama-sama menjadi satu DataFrame, termasuk contohnya.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/pandas-menambahkan-dua-kerangka-data\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T00:41:54+00:00\" \/>\n<meta name=\"author\" content=\"Benjamin anderson\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Ditulis oleh\" \/>\n\t<meta name=\"twitter:data1\" content=\"Benjamin anderson\" \/>\n\t<meta name=\"twitter:label2\" content=\"Estimasi waktu membaca\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/pandas-menambahkan-dua-kerangka-data\/\",\"url\":\"https:\/\/statorials.org\/id\/pandas-menambahkan-dua-kerangka-data\/\",\"name\":\"Cara Menambahkan Dua Pandas DataFrames (dengan Contoh) - Statorials\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-24T00:41:54+00:00\",\"dateModified\":\"2023-07-24T00:41:54+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara menambahkan dua panda DataFrames bersama-sama menjadi satu DataFrame, termasuk contohnya.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/pandas-menambahkan-dua-kerangka-data\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/pandas-menambahkan-dua-kerangka-data\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/pandas-menambahkan-dua-kerangka-data\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara menambahkan dua dataframe pandas (dengan contoh)\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/statorials.org\/id\/#website\",\"url\":\"https:\/\/statorials.org\/id\/\",\"name\":\"Statorials\",\"description\":\"Panduan anda untuk kompetensi statistik!\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/statorials.org\/id\/?s={search_term_string}\"},\"query-input\":\"required name=search_term_string\"}],\"inLanguage\":\"id\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\",\"name\":\"Benjamin anderson\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"id\",\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/image\/\",\"url\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"contentUrl\":\"http:\/\/statorials.org\/id\/wp-content\/uploads\/2023\/10\/Dr.-Benjamin-Anderson-96x96.jpg\",\"caption\":\"Benjamin anderson\"},\"description\":\"Halo, saya Benjamin, pensiunan profesor statistika yang menjadi guru Statorial yang berdedikasi. 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