I-Python NumPy iyilabhulali yomthombo ovulekile enikeza ukusekelwa kwezinhlelo ezinkulu, ezinezinhlangothi eziningi kanye namatrices, kanye nohlu olubanzi lwemisebenzi yezibalo ukuze isebenze kulezi zakhiwo zedatha. Omunye umsebenzi onjalo yi- i-ascontiguousarray okusebenzela injongo yokuguqula isikali sokufakwayo noma amalungu afanayo abe amalungu afanayo enkumbulweni. Lo msebenzi udlala indima ebalulekile lapho usebenza ngama-algorithms ayinkimbinkimbi adinga izibalo zokusebenza okuphezulu.
I-NumPy
Kuxazululiwe: Python NumPy asscalar Function Isibonelo 02
Umtapo wolwazi we-Python's NumPy iyithuluzi elibalulekile elisetshenziswa abathuthukisi nabahleli bezinhlelo emhlabeni wokuhlaziya idatha, isayensi yedatha kanye nezinkambu zesayensi ezahlukahlukene. Umtapo wezincwadi we-NumPy waziwa ngokusekela kwawo kwamalungu afanayo amaningi kanye nohlu olubanzi lwemisebenzi yezibalo. Phakathi kwale misebenzi, omunye umsebenzi othize obizwa ngokuthi i-asscalar() idlala indima ebalulekile ezinhlelweni ezithile zokusebenza, ikakhulukazi uma kuziwa ekuguquleni amalungu afanayo anento eyodwa ibe ivelu yesikali. Kulesi sihloko, sizoxoxa ngomqondo womsebenzi we-asscalar, amacala okusetshenziswa kwawo, futhi sibonise isibonelo sokuhlinzeka ngencazelo yesinyathelo ngesinyathelo sekhodi. Ngaphezu kwalokho, sizokwethula izihloko ezimbili ezihlobene ezixoxa ngezindikimba ezihambisanayo nemitapo yolwazi ukuze siqonde kabanzi lesi sihloko.
Kuxazululiwe: amanani afanayo angunumpy awabuyekezwa
Kulesi sihloko, sizohlola udaba lokubuyekeza amanani afanayo e-NumPy futhi sinikeze isisombululo esiphelele sale nkinga. I-NumPy iwumtapo wezincwadi wePython osetshenziswa kabanzi wokukhohlisa kwe-array kanye nokusebenza kwe-arithmetic. Isebenza kahle kakhulu futhi inikeza ukusebenza okuhlukahlukene. Ukuqonda inqubo yokubuyekeza amalungu afanayo e-NumPy kubalulekile kunoma yimuphi umthuthukisi osebenza ngedatha yezinombolo kuPython.
Ixazululiwe: imodi ye-python yohlu numpy
I-Python, njengolimi lwezinhlelo oluguquguqukayo futhi olunamandla, inikeza imitapo yolwazi eminingi namamojula ukwenza imisebenzi ibe lula kubathuthukisi. Omunye umtapo onjalo odumile ngu I-NumPy. Iwumtapo wezincwadi womthombo ovulekile osetshenziswa kakhulu kukhompyutha yezinombolo nesayensi, ukuhlaziya idatha, nokufunda ngomshini. Ihlinzeka ngemisebenzi ewusizo eyahlukahlukene ukwenza imisebenzi kumalungu afanayo, ikakhulukazi kumkhakha wezibalo kanye ne-algebra yomugqa. Kulesi sihloko, sizoxoxa nge I-Python NumPy ukuguqulwa kohlu, igxile enkingeni eyixazululayo, ukubaluleka kwemisebenzi ehilelekile, futhi ijule kumakhodi esampula ukuze iwaqonde kangcono.
Kuxazululiwe: Ukuguqulwa kwamalungu afanayo kube kanambambili kusetshenziswa i-NumPy binary_repr
Emhlabeni wanamuhla osheshayo, ukuhlaziya idatha kanye nokukhohlisa kuyinhliziyo yezinhlelo zokusebenza eziningi eziyisisekelo. Olunye lolu hlelo lokusebenza ukuguqulwa kweqoqo libe kanambambili kusetshenziswa umtapo wezincwadi we-NumPy onamandla, osetshenziswa kabanzi ukwenza imisebenzi yezibalo nesayensi ethuthukisiwe kumatrices amakhulu, anezinhlangothi eziningi nezinto eziwuhlelo. Kulesi sihloko, sizohlola ukuqaliswa okungokoqobo kwalokhu kuguqulwa sisebenzisa umsebenzi we-binary_repr kusuka ku-NumPy, kuyilapho sinikeza incazelo yesinyathelo nesinyathelo yekhodi ewumsuka. Njengoba siqhubeka, sizoxoxa ngamalabhulali ahlobene nemisebenzi engasiza ngokufanayo ekuxazululeni izinkinga ngaphakathi kwendawo yokukhohlisa nokuhlaziya idatha.
Kuxazululiwe: uyithola kanjani i-elementi eyodwa ohlwini lwamalungu afanayo angu-numpy arrayt
Emhlabeni wezinhlelo, kubalulekile ukwazi ukuthi ungaphatha kanjani futhi uphathe idatha ngempumelelo. Olunye ulimi oludumile lokuhlela oluvumela abathuthukisi ukuthi basebenze nedatha ngendlela efanele Python. Ngenxa yokuguquguquka kwayo kanye nemitapo yolwazi eminingi, iPython isiyintandokazi phakathi konjiniyela nososayensi bedatha. Omunye umtapo onjalo ngu I-NumPy, esebenza ngokukhethekile ngama-arrays kanye nokusebenza kwezinombolo. Kulesi sihloko, sizohlola ukuthi singayithola kanjani into eyodwa ku-ArrayList ohlwini lwe-NumPy, sixoxe ngemitapo yolwazi nemisebenzi esetshenzisiwe, futhi sihlole umlando wala mathuluzi ePython.
Kuxazululiwe: Ikhodi ye-NumPy left_shift Lapho okokufaka ne-bit shift kuyizinombolo
I-NumPy iwumtapo wezincwadi obalulekile wanoma yimuphi umhleli wePython osebenza ngedatha yezibalo noma yezinombolo. Inikeza amalungu afanayo anamandla namandla okukhohlisa e-matrix. Omunye wemisebenzi eyaziwa kancane ehlinzekwa yi-NumPy yikhono lokwenza imisebenzi ehlakaniphile ezintweni zohlelo. Lokhu kuhlanganisa umsebenzi wokushintsha kancane kancane kwesokunxele, ongasetshenziswa ezinombolweni ezingaphakathi kwamalungu afanayo e-NumPy. Kulesi sihloko, sizohlola ukusebenza kwe-NumPy left_shift futhi sinikeze isifundo sesinyathelo nesinyathelo sendlela yokusebenzisa lo msebenzi owusizo.
Kuxazululiwe: NumPy bitwise_and Example Lapho okokufaka kuyizinombolo
I-NumPy iwumtapo wolwazi obalulekile wanoma yimuphi usosayensi wedatha noma umhlaziyi wezinombolo osebenza nePython, njengoba iqukethe imisebenzi yezibalo esezingeni eliphezulu namathuluzi avumela ukubalwa kwezinombolo okuphumelelayo. Omunye umsebenzi onjalo, i bitwise_futhi, yenza ukuhlangana okuhlakaniphile kwesici phakathi kwezinombolo zokufaka ezimbili noma ama-array, ikhiphe umphumela ngefomethi kanambambili. Lesi sihloko sizodingida ukusetshenziswa kweNumPy bitwise_futhi umsebenzi lapho usebenza ngezinombolo, uchaza ukusebenza kwawo isinyathelo ngesinyathelo, futhi unikeza izibonelo zokuqonda okwengeziwe.
Kuxazululiwe: Python NumPy column_stack Function Isibonelo esinamalungu afanayo angu-2d
I-Python NumPy iwumtapo wezincwadi odumile ohlinzeka ngokusebenza kwezibalo okuthuthukisiwe okuningi futhi ikwenza kusebenze kahle kakhulu ukusebenza ngama-multidimensional arrays. Umsebenzi owodwa onjalo owusizo umsebenzi we-NumPy column_stack. Kulesi sihloko, sizobheka ngokujulile umsebenzi we-column_stack kanye nokusebenza kwawo ekusebenzeni ngamalungu afanayo angu-2d. Sizophinde sihlole imitapo yolwazi ehlukene nemisebenzi ehlobene nokusebenza ngamaqoqo kuPython.