Numpy sanannen ɗakin karatu ne na Python don sarrafawa da sarrafa manyan tsararru da matrices, waɗanda ke da mahimmanci a yawancin ayyukan kimiyyar bayanai da na'ura. Ɗaya daga cikin ayyukan gama gari lokacin aiki tare da waɗannan tsarin bayanai shine maye gurbin takamaiman ƙima tare da wasu. Wannan labarin yana tattauna yadda za a maye gurbin duk ƙididdiga a cikin tsararru na Numpy tare da wata ƙima, dalla-dalla tsarin tsari mataki-mataki da bayyana ayyukan haɗin gwiwa, ɗakunan karatu, da dabaru. Don haka, bari mu nutse a ciki!
Gabatarwa zuwa Numpy and Array Manipulation
Numpy, gajere don Lambobin Python, shine a m Python library ana amfani da shi don gudanar da ayyukan lissafi akan manyan tsararru da matrices, waɗanda ke da mahimmanci musamman a fannoni kamar kimiyyar bayanai, koyan na'ura, da lissafin kimiyya. Daga cikin iyawar sa da yawa, Numpy yana ba da damar sassauƙa da ingantaccen sarrafa tsararru, gami da maye gurbin takamaiman dabi'u tare da wasu.
Ɗaya daga cikin mahimmin al'amari na haɓakar Numpy shine ikonsa na sarrafa tsararru na girma daban-daban, yana sa ya fi sauƙi. yi ayyuka a kan tsararru na siffofi da girma dabam dabam. Bugu da kari, Numpy arrays yawanci sun fi inganci fiye da daidaitattun lissafin Python, saboda ingantaccen aiwatar da su da kuma gaskiyar cewa suna amfani da tubalan ƙwaƙwalwar ajiya.
Magani: Maye gurbin Duk Darajoji a cikin Tsarukan Tsari
Don maye gurbin duk abubuwan da suka faru na takamaiman ƙima a cikin tsararrun ƙima tare da wata ƙima, ana amfani da aikin `numpy.where()`. Wannan aikin yana ba mu zaɓin gyaggyara abubuwa a cikin tsararrun shigarwa bisa ga yanayin da aka bayar. Ga misali:
import numpy as np
# Create a sample Numpy array
arr = np.array([[1, 2, 3],
[4, 2, 6],
[7, 2, 9]])
# Replace all occurrences of the value 2 with the value 0
new_arr = np.where(arr == 2, 0, arr)
A cikin wannan misali, aikin `numpy.where()` yana karɓar sharadi, `arr == 2`, wanda ke bincika abubuwan da suka faru na ƙimar 2 a cikin tsararrun shigarwa `arr'. Idan wannan yanayin gaskiya ne, yana sanya ƙimar 0 zuwa wurin da ya dace a cikin tsararrun fitarwa. Idan yanayin karya ne, kawai yana kwafi ainihin ƙimar daga tsarin shigarwa zuwa tsararrun fitarwa.
Bayanin mataki-mataki na Code
1. Da farko, shigo da ɗakin karatu na Numpy ta amfani da sunan gama gari "np":
import numpy as np
2. Ƙirƙiri samfurin Numpy array tare da ƙimar da ake so:
arr = np.array([[1, 2, 3],
[4, 2, 6],
[7, 2, 9]])
3. Yi amfani da aikin `numpy.where()` don maye gurbin duk misalan ƙayyadaddun ƙimar da wata ƙima:
new_arr = np.where(arr == 2, 0, arr)
4. Sakamakon `sabon_arr` shi ne array mai ƙima tare da duk abubuwan da suka faru na ƙimar 2 da ƙimar 0 ta maye gurbinsu.
Fahimtar numpy.inda() Aiki
Aikin `numpy.where()` yana da ƙarfi da sassauƙa kayan aiki don sarrafa tsararru. Ana iya amfani da shi don canza abubuwa a cikin tsararru mai ƙima bisa ƙayyadaddun yanayi ko ma don ƙirƙirar sabbin jeri-jeri gaba ɗaya. Wannan aikin yana sauƙaƙa aiwatar da hadaddun ayyuka na hikimar abubuwa tare da ingantaccen aiki, kamar maye gurbin duk abubuwan da suka faru na takamaiman ƙima a cikin tsararru.
Wasu lokuta da aka saba amfani da su don aikin `numpy.where()` sun haɗa da tacewa ko gyara abubuwa dangane da wani yanayi, gina sabbin jeri daga waɗanda suke, da sauran su da yawa, waɗanda haskaka dacewarsa a cikin faffadan mahallin Numpy da sarrafa tsararru.
Gabaɗaya, Numpy babban ɗakin karatu ne don sarrafa manyan tsararru da matrices, kuma yana ba da kewayon ingantattun kayan aikin don sarrafa tsararru. Daga cikin waɗannan kayan aikin, aikin `numpy.where()' yana ba da mafita mai ƙarfi don maye gurbin takamaiman ƙima a cikin tsararru tare da wasu ƙididdiga, waɗanda za su iya zama kayan aiki wajen sarrafa bayanai, tacewa, da sauran abubuwa da yawa a cikin ilimin kimiyyar bayanai da ayyukan koyon injin. .
