<\/p>\n
Bir pandan\u0131n DataFrame’indeki sat\u0131rlar\u0131 \u00e7e\u015fitli ko\u015fullara g\u00f6re se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz:<\/span><\/p>\n Y\u00f6ntem 1: Birden \u00e7ok ko\u015fulu kar\u015f\u0131layan sat\u0131rlar\u0131 se\u00e7in<\/strong><\/span><\/p>\n Y\u00f6ntem 2: \u00c7e\u015fitli ko\u015fullardan birini kar\u015f\u0131layan sat\u0131rlar\u0131 se\u00e7in<\/strong><\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bu y\u00f6ntemlerin her birinin pratikte a\u015fa\u011f\u0131daki pandalar DataFrame ile nas\u0131l kullan\u0131laca\u011f\u0131n\u0131 g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, tak\u0131m\u0131n “A” ve konumun “G”ye e\u015fit oldu\u011fu DataFrame’den yaln\u0131zca sat\u0131rlar\u0131n nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/p>\n DataFrame’de bu ko\u015fullar\u0131n her ikisini de kar\u015f\u0131layan yaln\u0131zca iki sat\u0131r vard\u0131.<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, DataFrame’de yaln\u0131zca asistlerin 10’dan b\u00fcy\u00fck veya<\/em> ribaundlar\u0131n 8’den az oldu\u011fu sat\u0131rlar\u0131n nas\u0131l se\u00e7ilece\u011fini g\u00f6sterir:<\/span><\/p>\n DataFrame’de bu ko\u015fullar\u0131n her ikisini de kar\u015f\u0131layan yaln\u0131zca \u00fc\u00e7 sat\u0131r vard\u0131.<\/span><\/p>\n Not:<\/strong> Bu iki \u00f6rnekte, sat\u0131rlar\u0131 iki ko\u015fula g\u00f6re filtreledik, ancak & ve |<\/strong> nitelikler<\/strong> . operat\u00f6rlerimiz sayesinde istedi\u011fimiz kadar ko\u015fulu filtreleyebiliriz.<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer yayg\u0131n i\u015flemlerin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandalar’da bir ko\u015fula dayal\u0131 yeni bir s\u00fctun nas\u0131l olu\u015fturulur?<\/a> Bir pandan\u0131n DataFrame’indeki sat\u0131rlar\u0131 \u00e7e\u015fitli ko\u015fullara g\u00f6re se\u00e7mek i\u00e7in a\u015fa\u011f\u0131daki y\u00f6ntemleri kullanabilirsiniz: Y\u00f6ntem 1: Birden \u00e7ok ko\u015fulu kar\u015f\u0131layan sat\u0131rlar\u0131 se\u00e7in df. loc [((df[‘ col1 ‘] == ‘ A ‘) & (df[‘ col2’ ] == ‘ G ‘))] Y\u00f6ntem 2: \u00c7e\u015fitli ko\u015fullardan birini kar\u015f\u0131layan sat\u0131rlar\u0131 se\u00e7in df. loc [((df[‘ col1 ‘] > 10) | (df[‘ col2’ […]<\/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":[],"class_list":["post-2358","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df. loc<\/span> [((df[' col1<\/span> '] == ' A<\/span> ') &<\/span> (df['<\/span> col2' ]<\/span><\/span> == ' G<\/span> '))]\n<\/strong><\/pre>\n df. loc<\/span> [((df[' col1<\/span> '] > 10) |<\/span> (df['<\/span> col2' ]<\/span><\/span> < 8))]<\/strong><\/pre>\n import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'A', 'A', 'B', 'B', 'B', 'B'],\n ' position<\/span> ': ['G', 'G', 'F', 'F', 'G', 'G', 'F', 'F'],\n ' assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n ' rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})\n\n#view DataFrame\n<\/span>df\n\n\tteam position assists rebounds\n0 A G 5 11\n1 A G 7 8\n2 A F 7 10\n3 A F 9 6\n4 B G 12 6\n5 B G 9 5\n6 B F 9 9\n7 B F 4 12\n<\/strong><\/pre>\n Y\u00f6ntem 1: Birden \u00e7ok ko\u015fulu kar\u015f\u0131layan sat\u0131rlar\u0131 se\u00e7in<\/strong><\/span><\/h3>\n
#select rows where team is equal to 'A' and position is equal to 'G'\ndf. loc<\/span> [((df[' team<\/span> '] == ' A<\/span> ') & (df[' position<\/span> '] == ' G<\/span> '))]\n\n\tteam position assists rebounds\n0 A G 5 11\n1 A G 7 8<\/span>\n<\/span><\/strong><\/pre>\n Y\u00f6ntem 2: \u00c7e\u015fitli ko\u015fullardan birini kar\u015f\u0131layan sat\u0131rlar\u0131 se\u00e7in<\/strong><\/span><\/h3>\n
#select rows where assists is greater than 10 or rebounds is less than 8\ndf. loc<\/span> [((df[' assists<\/span> '] > 10) |<\/span> (df[' rebounds<\/span> '] < 8))]\n\n\tteam position assists rebounds\n3 A F 9 6\n4 B G 12 6\n5 B G 9 5<\/span>\n<\/span><\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandalarda belirli bir de\u011fer i\u00e7eren sat\u0131rlar nas\u0131l silinir<\/a>
Pandalar’da yinelenen sat\u0131rlar nas\u0131l kald\u0131r\u0131l\u0131r<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"