{"id":3577,"date":"2023-07-16T18:00:58","date_gmt":"2023-07-16T18:00:58","guid":{"rendered":"https:\/\/statorials.org\/id\/kerangka-data-3d-panda\/"},"modified":"2023-07-16T18:00:58","modified_gmt":"2023-07-16T18:00:58","slug":"kerangka-data-3d-panda","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/kerangka-data-3d-panda\/","title":{"rendered":"Cara membuat dataframe 3d pandas (dengan contoh)"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan modul xarray<\/a> untuk membuat DataFrame panda 3D dengan cepat.<\/span><\/p>\n

Tutorial ini menjelaskan cara membuat DataFrame 3D panda berikut menggunakan fungsi modul xarray:<\/span><\/p>\n

 product_A product_B product_C\nyear quarter                                 \n2021 Q1 1.624345 0.319039 50\n     Q2 -0.611756 0.319039 50\n     Q3 -0.528172 0.319039 50\n     Q4 -1.072969 0.319039 50\n2022 Q1 0.865408 -0.249370 50\n     Q2 -2.301539 -0.249370 50\n     Q3 1.744812 -0.249370 50\n     Q4 -0.761207 -0.249370 50\n<\/strong><\/span><\/pre>\n
 Contoh: Membuat DataFrame 3D Pandas<\/strong><\/span><\/h2>\n
 Kode berikut menunjukkan cara membuat dataset 3D menggunakan fungsi xarray<\/strong> dan NumPy<\/strong> :<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\nimport<\/span> xarray as<\/span> xr\n\n#make this example reproducible\n<\/span>n.p. random<\/span> . seeds<\/span> (1)\n\n#create 3D dataset\n<\/span>xarray_3d = xr. Dataset<\/span> (\n    {<\/span> \" product_A<\/span> \": ((\"year\", \"quarter\"), np.random.randn<\/span> (2,4))},\n    coordinates={\n        \" year<\/span> \": [2021, 2022],\n        \" quarter<\/span> \": [\"Q1\", \"Q2\", \"Q3\", \"Q4\"],\n        \" product_B<\/span> \": (\"year\", np. random<\/span> . randn<\/span> (2)),\n        \" product_C<\/span> \": 50,\n    },\n)\n\n#view 3D dataset\n<\/span>print<\/span> (xarray_3d)\n\nDimensions: (year: 2, quarter: 4)\nCoordinates:\n  * year (year) int32 2021 2022\n  * quarter (quarter) <U2 'Q1' 'Q2' 'Q3' 'Q4'\n    product_B (year) float64 0.319 -0.2494\n    product_C int32 50\nData variables:\n    product_A (year, quarter) float64 1.624 -0.6118 -0.5282 ... 1.745 -0.7612<\/strong><\/span><\/pre>\n
 Kita kemudian dapat menggunakan fungsi to_dataframe()<\/strong> untuk mengubah kumpulan data ini menjadi DataFrame pandas:<\/span><\/span><\/p>\n
 #convert xarray to DataFrame\n<\/span>df_3d = xarray_3d. to_dataframe<\/span> ()\n\n#view 3D DataFrame\n<\/span>print<\/span> (df_3d)\n\n              product_A product_B product_C\nyear quarter                                 \n2021 Q1 1.624345 0.319039 50\n     Q2 -0.611756 0.319039 50\n     Q3 -0.528172 0.319039 50\n     Q4 -1.072969 0.319039 50\n2022 Q1 0.865408 -0.249370 50\n     Q2 -2.301539 -0.249370 50\n     Q3 1.744812 -0.249370 50\n     Q4 -0.761207 -0.249370 50<\/strong><\/span><\/pre>\n
 Hasilnya adalah DataFrame panda 3D yang berisi informasi tentang jumlah penjualan yang dilakukan dari tiga produk berbeda dalam dua tahun berbeda dan empat kuartal berbeda per tahun.<\/span><\/p>\n
 Kita dapat menggunakan fungsi type()<\/strong> untuk mengonfirmasi bahwa objek ini memang merupakan DataFrame pandas:<\/span><\/p>\n
 #display type of df_3d\n<\/span>type<\/span> (df_3d)\n\npandas.core.frame.DataFrame\n<\/strong><\/span><\/pre>\n
 Objek tersebut memang merupakan DataFrame pandas.<\/span><\/p>\n
 Sumber daya tambahan<\/strong><\/span><\/h2>\n
 Tutorial berikut menjelaskan cara menjalankan fungsi umum lainnya di panda:<\/span><\/p>\n
 Pandas: Cara menemukan nilai unik dalam kolom<\/a>
 Pandas: cara mencari perbedaan antara dua garis<\/a>
 Pandas: Cara menghitung nilai yang hilang di DataFrame<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan modul xarray untuk membuat DataFrame panda 3D dengan cepat. Tutorial ini menjelaskan cara membuat DataFrame 3D panda berikut menggunakan fungsi modul xarray: product_A product_B product_C year quarter 2021 Q1 1.624345 0.319039 50 Q2 -0.611756 0.319039 50 Q3 -0.528172 0.319039 50 Q4 -1.072969 0.319039 50 2022 Q1 0.865408 -0.249370 50 Q2 -2.301539 -0.249370 […]<\/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 membuat DataFrame 3D Pandas (dengan contoh) - Statologi<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara membuat DataFrame 3D pandas, dengan sebuah contoh.\" \/>\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\/kerangka-data-3d-panda\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Cara membuat DataFrame 3D Pandas (dengan contoh) - Statologi\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara membuat DataFrame 3D pandas, dengan sebuah contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/kerangka-data-3d-panda\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-16T18:00:58+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=\"2 menit\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/statorials.org\/id\/kerangka-data-3d-panda\/\",\"url\":\"https:\/\/statorials.org\/id\/kerangka-data-3d-panda\/\",\"name\":\"Cara membuat DataFrame 3D Pandas (dengan contoh) - Statologi\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-16T18:00:58+00:00\",\"dateModified\":\"2023-07-16T18:00:58+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara membuat DataFrame 3D pandas, dengan sebuah contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/kerangka-data-3d-panda\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/kerangka-data-3d-panda\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/kerangka-data-3d-panda\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Cara membuat dataframe 3d 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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 Catatan<\/strong> : Fungsi NumPy randn()<\/a> mengembalikan nilai contoh dari distribusi normal standar<\/a> .<\/span><\/p>\n