Munyika yehurongwa, kunyanya kana uchibata nenhamba data uye masvomhu mashandiro, kushanda zvakanaka uye nyore kushandisa kunokosheswa zvakanyanya. Imwe yemitauro inonyanya kushandiswa pakuronga mabasa aya ndeye Python, uye mukati mePython, iyo NumPy raibhurari chishandiso chine simba chekubata arrays uye nhamba data. Muchikamu chino, tichakurukura nezve NumPy dsplit basa, ichikupa iwe kunzwisisa kwakadzama kweiyo syntax uye kushandiswa kwayo muPython. Mushure mekuverenga iyi yakazara gwara, iwe unozogona kushandisa iyo dsplit basa kushandura arrays ako zviri nyore uye nechivimbo.
Kunzwisisa Dambudziko
Dambudziko ratinoda kugadzirisa rine chekuita nekutsemura ma multidimensional arrays. Fungidzira iwe une 3-dimensional array inomiririra seti yehukoshi, uye iwe unofanirwa kuipatsanura pamwe neakisi yechitatu, inowanzonzi kudzika. Kuvhiya uku kunogona kubatsira zvakanyanya mumashandisirwo akasiyana akadai kugadzirwa kwemifananidzo, data analysis, uye machine learning, uko kushanda ne 3D arrays kwakajairika.
Kugadzirisa nyaya iyi, NumPy inopa basa rinonzi dsplit, yakanyatsogadzirirwa kupatsanura iro rakapihwa pamwe nekudzika kwayo kuita akawanda madiki-array. Kuti tishandise basa iri nemazvo, isu tinofanirwa kunzwisisa kuti tingashanda sei ne dsplit syntax uye kuigadzirisa kuti isangane nezvido zvedu.
Solution Uchishandisa NumPy dsplit Basa
Chekutanga, ngatitorei kunze raibhurari yeNumPy uye tigadzire sampuli ye 3D array seyedu yekuisa:
import numpy as np
# Create a 3D array of shape (2, 3, 6)
my_array = np.random.randint(1, 10, (2, 3, 6))
print("Original array:")
print(my_array)
Zvino, ngatishandisei dsplit basa kupatsanura hurongwa uhu kuita zvidimbu-zvidimbu pamwe neakisi yechitatu uchishandisa syntax inotevera:
# Use dsplit function to split the array along the third axis (depth)
split_array = np.dsplit(my_array, 3)
print("Split array:")
for sub_array in split_array:
print(sub_array)
Mumuenzaniso uyu, iyo dsplit basa inotora nharo mbiri: iyo yekuisa array (my_array) uye nhamba yeakaenzana saizi diki-zvirongwa zvatinoda kugadzira pamwe neakisi yechitatu. Mushure mekumhanyisa kodhi, isu tichawana matatu madiki-atatu, imwe neimwe yechimiro (2, 3, 2).
Nhanho-ne-nhanho Tsanangudzo yeCode
Ngationgororei kodhi zvakanyanya uye tokurukura chikamu chimwe nechimwe zvakadzama:
1. Kuunza iyo raibhurari yeNumPy: Mutsara wekutanga wekodhi inopinza raibhurari yeNumPy se'np', musangano wakajairika unoshandiswa nePython programmers. Izvi zvinotibvumira kuti tiwane mabasa ayo uye makirasi zvakanyanya kubudirira mukati mekodhi.
2. Kugadzira iyo 3D array: Isu tinogadzira isina kurongeka 3D array yechimiro (2, 3, 6) tichishandisa NumPy's random.randint basa. Iri basa rinogadzira seti yezvisina kurongeka manhamba mune yakatarwa renji (1-10) uye inoaronga zvichibva pane inopinza chimiro.
3. Kushandisa dsplit basa: Chekupedzisira, tinodaidza np.dsplit basa nekupfuura rondedzero yedu yepakutanga (my_array) senharo yekutanga, ichiteverwa nenhamba yezvikamu diki zvakaenzana zvatinoda kugadzira pamwe neakisi yechitatu senharo yechipiri (3, muchikamu chedu. muenzaniso).
4. Kuratidza zvabuda: Isu tinobva tadhinda yedu yekutanga rondedzero, ichiteverwa neinoguma sub-arrays mushure mekushandisa iyo dsplit basa.
Main Applications ye dsplit Basa
Sezvambotaurwa, iyo dsplit basa chinangwa chikuru ndechekupatsanura 3D arrays pamwe nekudzika kwayo. Muzviitiko zvepasirese, izvi zvinogona kubatsira zvakanyanya munzvimbo dzakasiyana siyana senge:
1. Kugadziriswa Kwemifananidzo: Mukugadzirisa mifananidzo, 3D arrays anoshandiswa zvakanyanya kumiririra mifananidzo yemavara, uko kudzika kunoenderana nematanho eruvara (semuenzaniso, Tsvuku, Green, uye Bhuruu). Iyo dsplit basa inogona kuratidza yakakosha kana ichipatsanura mavara machaneti eakasiyana kugadzirisa kana kuongorora.
2. Kuongorora Dhata: Mazhinji datasets anouya mu 3D arrays, kunyanya nguva-yakatevedzana data, uko axis yechitatu inomiririra nguva dzenguva. Mumamiriro ezvinhu akadaro, basa re dsplit rinogona kubatsira mukukamura data muzvikamu zvidiki kuti uwedzere kuongororwa.
3. Machine Kudzidza: Muchidzidzo chemuchina, 3D arrays anowanzo shandiswa mukumiririra yakaoma data zvimiro, senge multichannel yekupinda kana akawanda-categorical target variables. Nekushandisa iyo dsplit basa, isu tinogona kushandura aya arrays kufambisa muenzaniso kudzidziswa uye kuongorora.
Pakupedzisira, kunzwisisa NumPy dsplit basa uye syntax yayo inoshongedzera iwe nechinhu chine simba chekugadzirisa hurongwa, kunyanya kana uchishanda ne 3D arrays. Nekugona basa re dsplit, unogona kunyatsoongorora uye kugadzirisa data rako mukati mekushandisa kwakasiyana siyana.
