df = pd. read_csv<\/span> (\" data.txt<\/span> \", sep=\"\")\n<\/strong><\/pre>\n Tutorial ini memberikan beberapa contoh penggunaan praktis fungsi ini.<\/span><\/p>\n Membaca file teks dengan header<\/strong><\/span><\/h3>\n Misalkan kita memiliki file teks berikut bernama data.txt<\/strong> dengan header:<\/span> <\/p>\n![\"Membaca](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/txtpandas1.png\")
<\/p>\n
Untuk membaca file ini ke dalam pandas DataFrame, kita dapat menggunakan sintaks berikut:<\/span><\/p>\n import<\/span> pandas as<\/span> pd<\/span>\n\n#read text file into pandas DataFrame<\/span>\ndf = pd. read_csv<\/span> (\" data.txt<\/span> \", sep=\"\")\n\n#display DataFrame<\/span>\nprint<\/span> (df)\n\n column1 column2\n0 1 4\n1 3 4\n2 2 5\n3 7 9\n4 9 1\n5 6 3\n6 4 4\n7 5 2\n8 4 8\n9 6 8\n<\/strong><\/pre>\n Kita dapat mencetak kelas DataFrame dan mencari jumlah baris dan kolom menggunakan sintaks berikut:<\/span><\/p>\n #display class of DataFrame\n<\/span>print<\/span> (type(df))\n\n<class 'pandas.core.frame.DataFrame'>\n\n#display number of rows and columns in DataFrame\ndf. shape<\/span><\/span>\n\n(10, 2)\n<\/span><\/span><\/strong><\/pre>\n Kita dapat melihat bahwa df<\/strong> adalah DataFrame pandas dengan 10 baris dan 2 kolom.<\/span><\/p>\n Membaca file teks tanpa header<\/strong><\/span><\/h3>\n Misalkan kita memiliki file teks berikut bernama data.txt<\/strong> tanpa header:<\/span> <\/p>\n![\"Panda](\"https:\/\/statorials.org\/wp-content\/uploads\/2023\/08\/txtpandas2.png\")
<\/p>\n
Untuk membaca file ini ke dalam pandas DataFrame, kita dapat menggunakan sintaks berikut:<\/span><\/p>\n #read text file into pandas DataFrame<\/span>\ndf = pd. read_csv<\/span> (\" data.txt<\/span> \", sep=\"\", header= None<\/span> )\n\n#display DataFrame<\/span>\nprint<\/span> (df)\n\n 0 1\n0 1 4\n1 3 4\n2 2 5\n3 7 9\n4 9 1\n5 6 3\n6 4 4\n7 5 2\n8 4 8\n9 6 8\n<\/strong><\/pre>\n Karena file teks tidak memiliki header, panda cukup memberi nama kolom 0<\/strong> dan 1<\/strong> .<\/span><\/p>\n Baca file teks tanpa header dan tentukan nama kolom<\/strong><\/span><\/h3>\n Jika mau, kita bisa menetapkan nama kolom saat mengimpor file teks menggunakan argumen nama<\/strong> :<\/span><\/p>\n #read text file into pandas DataFrame and specify column names<\/span>\ndf = pd. read_csv<\/span> (\" data.txt<\/span> \", sep=\"\", header= None, names=[\"<\/span> A \", \"<\/span> B \"]<\/span><\/span> )\n\n#display DataFrame\n<\/span>print<\/span> (df)\n\n AB\n0 1 4\n1 3 4\n2 2 5\n3 7 9\n4 9 1\n5 6 3\n6 4 4\n7 5 2\n8 4 8\n9 6 8\n<\/strong><\/pre>\n Sumber daya tambahan<\/strong><\/span><\/h3>\n Cara membaca file CSV dengan Pandas<\/a>
Cara membaca file Excel dengan Pandas<\/a>
Cara membaca file JSON dengan Pandas<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"Untuk membaca file teks dengan pandas dengan Python, Anda dapat menggunakan sintaks dasar berikut: df = pd. read_csv (” data.txt “, sep=””) Tutorial ini memberikan beberapa contoh penggunaan praktis fungsi ini. Membaca file teks dengan header Misalkan kita memiliki file teks berikut bernama data.txt dengan header: Untuk membaca file ini ke dalam pandas DataFrame, kita […]<\/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":"\n
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