{"id":1826,"date":"2023-07-24T20:20:53","date_gmt":"2023-07-24T20:20:53","guid":{"rendered":"https:\/\/statorials.org\/id\/kerangka-data-pandas-memiliki-array-numpy\/"},"modified":"2023-07-24T20:20:53","modified_gmt":"2023-07-24T20:20:53","slug":"kerangka-data-pandas-memiliki-array-numpy","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/kerangka-data-pandas-memiliki-array-numpy\/","title":{"rendered":"Konversi pandas dataframe ke numpy array (dengan contoh)"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan sintaks berikut untuk mengonversi pandas DataFrame ke array NumPy:<\/span><\/p>\n

 df. to_numpy<\/span> ()\n<\/strong><\/pre>\n
 Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya.<\/span><\/p>\n
 Contoh 1: Konversi DataFrame dengan tipe data yang sama<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara mengonversi pandas DataFrame ke array NumPy ketika setiap kolom di DataFrame memiliki tipe data yang sama:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create data frame\n<\/span>df1 = pd. DataFrame<\/span> ({' rebounds<\/span> ': [7, 7, 8, 13, 7, 4],\n                    ' points<\/span> ': [5, 7, 7, 9, 12, 9],\n                    ' assists<\/span> ': [11, 8, 10, 6, 6, 5]})\n\n#view data frame\n<\/span>print<\/span> (df1)\n\n   rebound points assists\n0 7 5 11\n1 7 7 8\n2 8 7 10\n3 13 9 6\n4 7 12 6\n5 4 9 5\n\n#convert DataFrame to NumPy array\n<\/span>new = df1. to_numpy<\/span> ()\n\n#view NumPy array\n<\/span>print<\/span> (new)\n\n[[ 7 5 11]\n [7 7 8]\n [8 7 10]\n [13 9 6]\n [7 12 6]\n [4 9 5]]\n\n#confirm that new<\/em> is a NumPy array\n<\/span>print<\/span> (type(new))\n\n<class 'numpy.ndarray'> \n\n#view data type\n<\/span>print<\/span> (new. dtype<\/span> )\n\nint64\n<\/strong><\/pre>\n
 Array Numpy memiliki tipe data int64<\/strong> karena setiap kolom di pandas DataFrame asli adalah int.<\/span><\/p>\n
 Contoh 2: Konversi DataFrame dengan tipe data campuran<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara mengonversi pandas DataFrame ke array NumPy ketika kolom di DataFrame tidak semuanya bertipe data sama:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create data frame\n<\/span>df2 = pd. DataFrame<\/span> ({' player<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F'],\n                    ' points<\/span> ': [5, 7, 7, 9, 12, 9],\n                    ' assists<\/span> ': [11, 8, 10, 6, 6, 5]})\n\n#view data frame\n<\/span>print<\/span> (df2)\n\n  player points assists\n0 to 5 11\n1 B 7 8\n2 C 7 10\n3 D 9 6\n4 E 12 6\n5 F 9 5\n\n#convert DataFrame to NumPy array\n<\/span>new = df2. to_numpy<\/span> ()\n\n#view NumPy array\n<\/span>print<\/span> (new)\n\n[['A' 5 11]\n ['B' 7 8]\n ['C' 7 10]\n ['D' 9 6]\n ['E' 12 6]\n ['F' 9 5]]\n\n#confirm that new<\/em> is a NumPy array\n<\/span>print<\/span> (type(new))\n\n<class 'numpy.ndarray'> \n\n#view data type\n<\/span>print<\/span> (new. dtype<\/span> )\n\nobject\n<\/strong><\/pre>\n
 Array Numpy memiliki tipe data Objek<\/strong> karena tidak semua kolom di pandas DataFrame asli memiliki tipe data yang sama.<\/span><\/p>\n
 Contoh 3: Konversi DataFrame dan tetapkan nilai NA<\/strong><\/span><\/h3>\n
 Kode berikut menunjukkan cara mengonversi pandas DataFrame ke array NumPy dan menentukan nilai yang akan ditetapkan untuk semua nilai NA di DataFrame asli:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#create data frame\n<\/span>df3 = pd. DataFrame<\/span> ({' player<\/span> ': ['A', 'B', pd. NA<\/span> , 'D', 'E', 'F'],\n                    ' points<\/span> ': [5, 7, pd. NA<\/span> , 9, pd. NA<\/span> , 9],\n                    ' assists<\/span> ': [11, 8, 10, 6, 6, 5]})\n\n#view data frame\n<\/span>print<\/span> (df3)\n\n  player points assists\n0 to 5 11\n1 B 7 8\n2 <NA> <NA> 10\n3 D 9 6\n4 E <NA> 6\n5 F 9 5\n\n#convert DataFrame to NumPy array\n<\/span>new = df3. to_numpy<\/span> (na_value=' none<\/span> ')\n\n#view NumPy array\n<\/span>print<\/span> (new)\n\n[['A' 5 11]\n ['B' 7 8]\n ['none' 'none' 10]\n ['D' 9 6]\n ['E' 'none' 6]\n ['F' 9 5]]\n\n#confirm that new<\/em> is a NumPy array\n<\/span>print<\/span> (type(new))\n\n<class 'numpy.ndarray'> \n\n#view data type\n<\/span>print<\/span> (new. dtype<\/span> )\n\nobject<\/strong><\/pre>\n
 Sumber daya tambahan<\/strong><\/span><\/h3>\n
 Cara membuat Pandas DataFrame dari array NumPy<\/a>
 Cara mengonversi Daftar ke DataFrame di Pandas<\/a>
 Cara mengonversi DataFrame ke Daftar di Pandas<\/p>\n","protected":false},"excerpt":{"rendered":"
Anda dapat menggunakan sintaks berikut untuk mengonversi pandas DataFrame ke array NumPy: df. to_numpy () Contoh berikut menunjukkan cara menggunakan sintaksis ini dalam praktiknya. Contoh 1: Konversi DataFrame dengan tipe data yang sama Kode berikut menunjukkan cara mengonversi pandas DataFrame ke array NumPy ketika setiap kolom di DataFrame memiliki tipe data yang sama: import pandas […]<\/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":"\nKonversi Pandas DataFrame ke NumPy Array (dengan Contoh)<\/title>\n<meta name=\"description\" content=\"Tutorial ini menjelaskan cara mengonversi pandas DataFrame ke array NumPy, dengan beberapa 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-pandas-memiliki-array-numpy\/\" \/>\n<meta property=\"og:locale\" content=\"id_ID\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Konversi Pandas DataFrame ke NumPy Array (dengan Contoh)\" \/>\n<meta property=\"og:description\" content=\"Tutorial ini menjelaskan cara mengonversi pandas DataFrame ke array NumPy, dengan beberapa contoh.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/statorials.org\/id\/kerangka-data-pandas-memiliki-array-numpy\/\" \/>\n<meta property=\"og:site_name\" content=\"Statorials\" \/>\n<meta property=\"article:published_time\" content=\"2023-07-24T20:20:53+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-pandas-memiliki-array-numpy\/\",\"url\":\"https:\/\/statorials.org\/id\/kerangka-data-pandas-memiliki-array-numpy\/\",\"name\":\"Konversi Pandas DataFrame ke NumPy Array (dengan Contoh)\",\"isPartOf\":{\"@id\":\"https:\/\/statorials.org\/id\/#website\"},\"datePublished\":\"2023-07-24T20:20:53+00:00\",\"dateModified\":\"2023-07-24T20:20:53+00:00\",\"author\":{\"@id\":\"https:\/\/statorials.org\/id\/#\/schema\/person\/3d17a1160dd2d052b7c78e502cb9ec81\"},\"description\":\"Tutorial ini menjelaskan cara mengonversi pandas DataFrame ke array NumPy, dengan beberapa contoh.\",\"breadcrumb\":{\"@id\":\"https:\/\/statorials.org\/id\/kerangka-data-pandas-memiliki-array-numpy\/#breadcrumb\"},\"inLanguage\":\"id\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/statorials.org\/id\/kerangka-data-pandas-memiliki-array-numpy\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/statorials.org\/id\/kerangka-data-pandas-memiliki-array-numpy\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/statorials.org\/id\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Konversi pandas dataframe ke numpy array (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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