{"id":3515,"date":"2023-07-17T02:11:32","date_gmt":"2023-07-17T02:11:32","guid":{"rendered":"https:\/\/statorials.org\/id\/panda-mengalikan-dua-kolom\/"},"modified":"2023-07-17T02:11:32","modified_gmt":"2023-07-17T02:11:32","slug":"panda-mengalikan-dua-kolom","status":"publish","type":"post","link":"https:\/\/statorials.org\/id\/panda-mengalikan-dua-kolom\/","title":{"rendered":"Cara mengalikan dua kolom di pandas: dengan contoh"},"content":{"rendered":"

<\/p>\n

\n

Anda dapat menggunakan metode berikut untuk mengalikan dua kolom di pandas DataFrame:<\/span><\/p>\n

Metode 1: Kalikan dua kolom<\/strong><\/span><\/p>\n

 df[' new_column<\/span> '] = df. column1<\/span> * df. column2<\/span><\/strong><\/pre>\n
 Metode 2: Kalikan dua kolom berdasarkan kondisi<\/strong><\/span><\/p>\n
 new_column = df. column1<\/span> * df. column2<\/span>\n\n#update values based on condition\n<\/span>df[' new_column<\/span> '] = new_column. where<\/span> (df. column2<\/span> == ' value1<\/span> ', other= 0<\/span> )\n<\/strong><\/pre>\n
 Contoh berikut menunjukkan cara menggunakan masing-masing metode dalam praktik.<\/span><\/p>\n
 Contoh 1: Kalikan dua kolom<\/strong><\/span><\/h2>\n
 Misalkan kita memiliki panda DataFrame berikut:<\/span><\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' price<\/span> ': [22, 20, 25, 30, 4, 8, 12, 10],\n                   ' amount<\/span> ': [3, 1, 3, 3, 2, 4, 3, 5]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   price amount\n0 22 3\n1 20 1\n2 25 3\n3 30 3\n4 4 2\n5 8 4\n6 12 3\n7 10 5<\/strong><\/pre>\n
 Kita dapat menggunakan sintaks berikut untuk mengalikan kolom harga<\/strong> dan jumlah<\/strong> dan membuat kolom baru bernama pendapatan<\/strong> :<\/span><\/p>\n
 #multiply price and amount columns\n<\/span>df[' revenue<\/span> '] = df. price<\/span> * df. amount<\/span>\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n   price amount revenue\n0 22 3 66\n1 20 1 20\n2 25 3 75\n3 30 3 90\n4 4 2 8\n5 8 4 32\n6 12 3 36\n7 10 5 50<\/strong><\/pre>\n
 Perhatikan bahwa nilai pada kolom pendapatan<\/b> baru adalah hasil kali nilai pada kolom Harga<\/strong> dan Jumlah<\/strong> .<\/span><\/p>\n
 Contoh 2: Kalikan dua kolom berdasarkan kondisi<\/strong><\/span><\/h2>\n
 Misalkan kita memiliki panda DataFrame berikut:<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd<\/span>\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' price<\/span> ': [22, 20, 25, 30, 4, 8, 12, 10],\n                   ' amount<\/span> ': [3, 1, 3, 3, 2, 4, 3, 5],\n                   ' type<\/span> ': ['Sale', 'Refund', 'Sale', 'Sale',\n                            'Sale', 'Refund', 'Refund', 'Sale']})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n   price amount type\n0 22 3 Dirty\n1 20 1 Refund\n2 25 3 Dirty\n3 30 3 Dirty\n4 4 2 Dirty\n5 8 4 Refund\n6 12 3 Return\n7 10 5 Dirty<\/strong><\/pre>\n
 Kita bisa mengalikan kolom harga<\/strong> dan jumlah<\/strong> , lalu menggunakan fungsi di mana ()<\/strong> untuk mengubah hasilnya berdasarkan nilai kolom tipe<\/strong> :<\/span><\/p>\n
 #multiply price and amount columns\n<\/span>income = df. price<\/span> * df. amount<\/span>\n\n#update values based on type\n<\/span>df[' revenue<\/span> '] = revenue. where<\/span> (df. type<\/span> == ' Sale<\/span> ', other= 0<\/span> )\n\n#view updated DataFrame\n<\/span>print<\/span> (df)\n\n   price amount type revenue\n0 22 3 Dirty 66\n1 20 1 Refund 0\n2 25 3 Dirty 75\n3 30 3 Dirty 90\n4 4 2 Dirty 8\n5 8 4 Refund 0\n6 12 3 Refund 0\n7 10 5 Dirty 50<\/strong><\/pre>\n
 Perhatikan bahwa kolom Pendapatan<\/b> mengambil nilai berikut:<\/span><\/p>\n