An Warware: Python NumPy asfarray Aiki Syntax

Python NumPy aikin asfarray: Duban Zurfi

NumPy babban ษ—akin karatu ne mai ฦ™arfi don ฦ™ididdige ฦ™ididdiga a Python, kuma yana da ayyuka daban-daban don sauฦ™aฦ™a wa masu haษ“akawa yin hadaddun ayyuka akan tsararru. ฦŠayan irin wannan aikin shine asfar aiki, wanda ake amfani da shi don canza abin shigarwa zuwa tsararru mai iyo. A cikin wannan labarin, za mu bincika ma'anar aikin asfarray, duba yadda za a iya amfani da shi a cikin yanayi daban-daban, da kuma samar da bayanin mataki-mataki na lambar. Bugu da ฦ™ari, za mu tattauna dakunan karatu masu alaฦ™a da ayyuka waษ—anda za su iya taimakawa yayin fuskantar matsaloli iri ษ—aya.

Fahimtar aikin asfarray

Aikin asfarray yana zuwa da amfani lokacin da kake buฦ™atar canza bayanan shigar da bayanai zuwa cikin tsararrun NumPy tare da ฦ™ayyadadden nau'in mai iyo. Yana da amfani musamman don tabbatar da cewa bayanan da kuke aiki dasu suna cikin daidai nau'in kafin yin lissafi. Ma'anar aikin shine kamar haka:

numpy.asfarray(a, dtype=float)

sigogi:

  • a: array_like - Bayanan shigarwa, a kowane nau'i wanda za'a iya canza shi zuwa tsararru.
  • dtype: dtype_like - Na zaษ“i, nau'in bayanan da ake so. Default shine numpy.float64.

Komawa:

  • fita: ndarray โ€“ Tsari na lambobi masu iyo masu siffa iri ษ—aya da `a`.

Yanzu da muka fahimci syntax da manufar aikin asfarray, bari mu bincika misali mai amfani don ganin yadda yake aiki a aikace.

Misali: Amfani da asfarray don Maida Nau'in Bayanai

A ce muna da jerin lambobi waษ—anda ke wakiltar farashin kayayyaki na zamani da yawa, kuma muna so mu canza su zuwa tsararru mai iyo don yin lissafin da ke da alaฦ™a da ragi ko haraji.

import numpy as np

# Sample data - prices of fashion items
prices = [120, 340, 560, 890, 1830]

# Converting the list to a floating-point array using asfarray
prices_array = np.asfarray(prices)

print(prices_array)

A cikin wannan misalin, mun fara shigo da ษ—akin karatu na NumPy ta amfani da laฦ™abin 'np'. Bayan haka, muna ayyana maษ“alli 'farashi' wanda ke ษ—auke da bayanan samfurin mu, wanda shine lissafin lamba. Sai mu yi amfani da aikin `np.asfarray` don musanya wannan jeri zuwa tsararru mai iyo, kuma mu adana sakamakon a cikin madaidaicin `farashin_array'. A ฦ™arshe, muna buga tsararrun sakamakon don lura da jujjuyawar.

Ayyuka masu alaฦ™a da ษ—akunan karatu

Akwai wasu ayyuka da yawa a cikin NumPy waษ—anda za ku iya samun amfani yayin aiki tare da tsararru da nau'ikan bayanai:

  • nupy.asarray: Yana canza shigarwa zuwa adadi mai yawa, yana adana nau'in asali.
  • numpy.array: Yana ฦ™irฦ™ira sabon tsararru daga shigarwar da aka bayar, tare da ฦ™ayyadaddun dtype na zaษ“i.
  • nupy.ndarray.astype: Yana ba ku damar canza dtype na tsararrun da ke akwai.

Bayan NumPy, akwai wasu dakunan karatu a cikin Python waษ—anda ke ma'amala da tsararraki da lissafin lambobi, kamar:

  • SciPy: Laburaren da aka gina a saman NumPy, yana ba da ฦ™arin ayyuka don lissafin kimiyya, kamar haษ“akawa, sarrafa sigina, da ayyukan ฦ™ididdiga.
  • Pandas: Labura mai ฦ™arfi don sarrafa bayanai da bincike, samar da tsarin bayanai kamar DataFrame da Series, waษ—anda aka gina a saman tsararrun NumPy.

A ฦ™arshe, da NumPy asfarray aiki yana ba masu haษ“aka damar sauya bayanan shigar da su cikin sauฦ™i zuwa tsararrun ma'ana mai iyo, tabbatar da cewa bayanan suna cikin daidai nau'in don ฦ™arin aiki. Ta hanyar fahimtar ma'anar aikin da aikace-aikacen sa daban-daban, zaku iya magance nau'ikan ayyukan ฦ™ididdiga masu yawa a cikin Python yadda ya kamata.

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