{"id":2019,"date":"2023-07-24T01:29:42","date_gmt":"2023-07-24T01:29:42","guid":{"rendered":"https:\/\/statorials.org\/pl\/numpy-obiekt-ndarray-nie-ma-dodanego-atrybutu\/"},"modified":"2023-07-24T01:29:42","modified_gmt":"2023-07-24T01:29:42","slug":"numpy-obiekt-ndarray-nie-ma-dodanego-atrybutu","status":"publish","type":"post","link":"https:\/\/statorials.org\/pl\/numpy-obiekt-ndarray-nie-ma-dodanego-atrybutu\/","title":{"rendered":"Jak naprawi\u0107: obiekt \u201enumpy.ndarray\u201d nie ma atrybutu \u201eappend\u201d."},"content":{"rendered":"

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B\u0142\u0105d, kt\u00f3ry mo\u017cesz napotka\u0107 podczas korzystania z NumPy, to:<\/span><\/p>\n

 AttributeError: 'numpy.ndarray' object has no attribute 'append'\n<\/strong><\/pre>\n
 Ten b\u0142\u0105d wyst\u0119puje, gdy pr\u00f3bujesz do\u0142\u0105czy\u0107 jedn\u0105 lub wi\u0119cej warto\u015bci na ko\u0144cu tablicy NumPy za pomoc\u0105 standardowej funkcji append()<\/strong> Pythona.<\/span><\/p>\n
 Poniewa\u017c NumPy nie ma atrybutu do\u0142\u0105czania, zg\u0142aszany jest b\u0142\u0105d. Aby to naprawi\u0107, powiniene\u015b zamiast tego u\u017cy\u0107 np.append()<\/strong> .<\/span><\/p>\n
 Poni\u017cszy przyk\u0142ad pokazuje, jak w praktyce skorygowa\u0107 ten b\u0142\u0105d.<\/span><\/p>\n
 Jak odtworzy\u0107 b\u0142\u0105d<\/strong><\/span><\/h3>\n
 Za\u0142\u00f3\u017cmy, \u017ce pr\u00f3bujemy doda\u0107 now\u0105 warto\u015b\u0107 na ko\u0144cu tablicy NumPy, u\u017cywaj\u0105c standardowej funkcji append()<\/strong> w j\u0119zyku Python:<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define NumPy array\nx = np. array<\/span> ([1, 4, 4, 6, 7, 12, 13, 16, 19, 22, 23])\n\n#attempt to add the value '25' to end of NumPy array\n<\/span>x. append<\/span> (25)\n\n<\/span><\/span>AttributeError: 'numpy.ndarray' object has no attribute 'append'\n<\/strong><\/pre>\n
 Otrzymujemy b\u0142\u0105d, poniewa\u017c NumPy nie ma atrybutu do\u0142\u0105czania.<\/span><\/span><\/p>\n
 Jak naprawi\u0107 b\u0142\u0105d<\/strong><\/span><\/h3>\n
 Aby naprawi\u0107 ten b\u0142\u0105d, wystarczy zamiast tego u\u017cy\u0107 np.append()<\/strong> :<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define NumPy array\nx = np. array<\/span> ([1, 4, 4, 6, 7, 12, 13, 16, 19, 22, 23])\n\n#append the value '25' to end of NumPy array\n<\/span>x = np. append<\/span> (x, 25)\n\n#view updated array<\/span>\nx\n\narray([ 1, 4, 4, 6, 7, 12, 13, 16, 19, 22, 23, 25])\n<\/span><\/span><\/strong><\/pre>\n
 U\u017cywaj\u0105c np.append()<\/strong> pomy\u015blnie dodali\u015bmy warto\u015b\u0107 \u201e25\u201d na ko\u0144cu tablicy.<\/span><\/p>\n
 Pami\u0119taj, \u017ce je\u015bli chcesz doda\u0107 tablic\u0119 NumPy na ko\u0144cu innej tablicy NumPy, najlepiej u\u017cy\u0107 funkcji np.concatenate()<\/strong> :<\/span><\/p>\n
 import<\/span> numpy as<\/span> np\n\n#define two NumPy arrays\n<\/span>a = np. array<\/span> ([1, 4, 4, 6, 7, 12, 13, 16, 19, 22, 23])\nb = np. array<\/span> ([25, 26, 26, 29])\n\n#concatenate two arrays together\n<\/span>c = np. concatenate<\/span> ((a, b))\n\n#view resulting array\n<\/span>vs\n\narray([ 1, 4, 4, 6, 7, 12, 13, 16, 19, 22, 23, 25, 26, 26, 29])\n<\/strong><\/span><\/pre>\n
 Szczeg\u00f3\u0142owe wyja\u015bnienie funkcji tablicy i konkatenacji mo\u017cna znale\u017a\u0107 w dokumentacji online:<\/span><\/span><\/p>\n