<\/p>\n
Pandas DataFrame’i s\u00f6zl\u00fc\u011fe d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz:<\/span><\/p>\n to_dict() i\u015flevinin<\/strong> a\u015fa\u011f\u0131daki olas\u0131 ba\u011f\u0131ms\u0131z de\u011fi\u015fkenleri kabul etti\u011fini unutmay\u0131n:<\/span><\/p>\n A\u015fa\u011f\u0131daki \u00f6rnekler, bu s\u00f6zdiziminin 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, varsay\u0131lan ‘ dict<\/strong> ‘ y\u00f6ntemini kullanarak bir panda DataFrame’in s\u00f6zl\u00fc\u011fe nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, ‘ list<\/strong> ‘ y\u00f6ntemini kullanarak bir panda DataFrame’in s\u00f6zl\u00fc\u011fe nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, ‘ series<\/strong> ‘ y\u00f6ntemini kullanarak bir panda DataFrame’in s\u00f6zl\u00fc\u011fe nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, ‘ split<\/strong> ‘ y\u00f6ntemini kullanarak bir panda DataFrame’in s\u00f6zl\u00fc\u011fe nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, ‘ kay\u0131tlar<\/strong> ‘ y\u00f6ntemini kullanarak bir pandas DataFrame’in s\u00f6zl\u00fc\u011fe nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki kod, ‘ index<\/strong> ‘ y\u00f6ntemini kullanarak bir panda DataFrame’in s\u00f6zl\u00fc\u011fe nas\u0131l d\u00f6n\u00fc\u015ft\u00fcr\u00fclece\u011fini g\u00f6sterir:<\/span><\/p>\n A\u015fa\u011f\u0131daki e\u011fitimlerde pandalarda di\u011fer yayg\u0131n veri d\u00f6n\u00fc\u015f\u00fcmlerinin nas\u0131l ger\u00e7ekle\u015ftirilece\u011fi a\u00e7\u0131klanmaktad\u0131r:<\/span><\/p>\n Pandas DataFrame’i NumPy dizisine d\u00f6n\u00fc\u015ft\u00fcrme<\/a> Pandas DataFrame’i s\u00f6zl\u00fc\u011fe d\u00f6n\u00fc\u015ft\u00fcrmek i\u00e7in a\u015fa\u011f\u0131daki s\u00f6zdizimini kullanabilirsiniz: df. to_dict () to_dict() i\u015flevinin a\u015fa\u011f\u0131daki olas\u0131 ba\u011f\u0131ms\u0131z de\u011fi\u015fkenleri kabul etti\u011fini unutmay\u0131n: dict: (varsay\u0131lan) Anahtarlar s\u00fctun adlar\u0131d\u0131r. De\u011ferler indeks:veri \u00e7iftlerinin s\u00f6zl\u00fckleridir. liste: anahtarlar s\u00fctun adlar\u0131d\u0131r. De\u011ferler s\u00fctun verilerinin listeleridir. seri: anahtarlar s\u00fctun adlar\u0131d\u0131r. De\u011ferler s\u00fctun veri serileridir. b\u00f6lme: anahtarlar \u201cs\u00fctunlar\u201d, \u201cveri\u201d ve \u201cdizin\u201ddir. kay\u0131tlar: anahtarlar s\u00fctun adlar\u0131d\u0131r. […]<\/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-1925","post","type-post","status-publish","format-standard","hentry","category-rehber"],"yoast_head":"\n df. to_dict<\/span> ()\n<\/strong><\/pre>\n\n
import<\/span> pandas as<\/span> pd\n\n#createDataFrame<\/span>\ndf = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'A', 'B', 'B', 'C'],\n ' points<\/span> ': [5, 7, 9, 12, 9],\n ' rebounds<\/span> ': [11, 8, 6, 6, 5]})\n\n#view DataFrame\n<\/span>df\n\n\tteam points rebounds\n0 to 5 11\n1 to 7 8\n2 B 9 6\n3 B 12 6\n4 C 9 5\n<\/strong><\/pre>\n \u00d6rnek 1: DataFrame’i s\u00f6zl\u00fc\u011fe (“dict”) d\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n
df. to_dict<\/span> ()\n\n{'team': {0: 'A', 1: 'A', 2: 'B', 3: 'B', 4: 'C'},\n 'points': {0:5, 1:7, 2:9, 3:12, 4:9},\n 'rebounds': {0:11, 1:8, 2:6, 3:6, 4:5}}<\/strong><\/pre>\n \u00d6rnek 2:<\/strong><\/span> DataFrame’i S\u00f6zl\u00fc\u011fe (“Liste”) d\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n
df. to_dict<\/span> (' list<\/span> ')\n\n{'team': ['A', 'A', 'B', 'B', 'C'],\n 'points': [5, 7, 9, 12, 9],\n 'rebounds': [11, 8, 6, 6, 5]}<\/strong><\/pre>\n \u00d6rnek 3:<\/strong><\/span> DataFrame’i s\u00f6zl\u00fc\u011fe (“dizi”) d\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n
df. to_dict<\/span> (' series<\/span> ')\n\n{'team': 0 A\n 1A\n 2 B\n 3 B\n 4C\n Name: team, dtype: object,\n 'points': 0 5\n 1 7\n 2 9\n 3 12\n 4 9\n Name: points, dtype: int64,\n 'rebounds': 0 11\n 1 8\n 2 6\n 3 6\n 4 5\n Name: rebounds, dtype: int64}\n<\/strong><\/pre>\n \u00d6rnek 4:<\/strong><\/span> DataFrame’i s\u00f6zl\u00fc\u011fe d\u00f6n\u00fc\u015ft\u00fcrme (“b\u00f6lme”)<\/strong><\/span><\/h3>\n
df. to_dict<\/span> (' split<\/span> ')\n\n{'index': [0, 1, 2, 3, 4],\n 'columns': ['team', 'points', 'rebounds'],\n 'data': [['A', 5, 11], ['A', 7, 8], ['B', 9, 6], ['B', 12, 6], ['C', 9, 5]]}<\/strong><\/pre>\n \u00d6rnek 5:<\/strong><\/span> DataFrame’i s\u00f6zl\u00fc\u011fe (“kay\u0131tlar”) d\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n
df. to_dict<\/span> (' records<\/span> ')\n\n[{'team': 'A', 'points': 5, 'rebounds': 11},\n {'team': 'A', 'points': 7, 'rebounds': 8},\n {'team': 'B', 'points': 9, 'rebounds': 6},\n {'team': 'B', 'points': 12, 'rebounds': 6},\n {'team': 'C', 'points': 9, 'rebounds': 5}]<\/strong><\/pre>\n \u00d6rnek 6:<\/strong><\/span> DataFrame’i s\u00f6zl\u00fc\u011fe (“dizin”) d\u00f6n\u00fc\u015ft\u00fcrme<\/strong><\/span><\/h3>\n
df. to_dict<\/span> (' index<\/span> ')\n\n{0: {'team': 'A', 'points': 5, 'rebounds': 11},\n 1: {'team': 'A', 'points': 7, 'rebounds': 8},\n 2: {'team': 'B', 'points': 9, 'rebounds': 6},\n 3: {'team': 'B', 'points': 12, 'rebounds': 6},\n 4: {'team': 'C', 'points': 9, 'rebounds': 5}}<\/strong><\/pre>\n Ek kaynaklar<\/strong><\/span><\/h3>\n
Pandas serisini NumPy dizisine d\u00f6n\u00fc\u015ft\u00fcrme<\/a>
Pandas DataFrame’i Listeye d\u00f6n\u00fc\u015ft\u00fcrme<\/p>\n","protected":false},"excerpt":{"rendered":"