請我喝杯咖啡☕
zip() 可以透過組合多個 iterable 來建立一個 iterable,如下所示:
*備註:
- 當最短的輸入迭代耗盡時,迭代停止。
- iterable 不能直接用索引訪問,所以使用 list() 透過索引存取它。
fruits = ["Apple", "Orange", "Banana", "Kiwi", "Lemon", "Mango"] meats = ["Chicken", "Beef", "Pork", "Duck", "Mutton"] vegetables = ["Onion", "Carrot", "Garlic", "Spinach", "Eggplant"] print(zip(fruits, meats, vegetables)) # <zip object at> print(zip(fruits, meats, vegetables)[0]) # Error print(list(zip(fruits, meats, vegetables))) # [('Apple', 'Chicken', 'Onion'), # ('Orange', 'Beef', 'Carrot'), # ('Banana', 'Pork', 'Garlic'), # ('Kiwi', 'Duck', 'Spinach'), # ('Lemon', 'Mutton', 'Eggplant')] f, m, v = list(zip(fruits, meats, vegetables))[0] print(f, m, v) # Apple Chicken Onion for f, m, v in zip(fruits, meats, vegetables): print(f, m, v) # Apple Chicken Onion # Orange Beef Carrot # Banana Pork Garlic # Kiwi Duck Spinach # Lemon Mutton Eggplant </zip>
fruits = ["Apple", "Orange", "Banana", "Kiwi", "Lemon", "Mango"] meats = ["Chicken", "Beef", "Pork", "Duck", "Mutton"] vegetables = ["Onion", "Carrot", "Garlic", "Spinach", "Eggplant"] print(list(zip(zip(fruits, meats), vegetables))) # [(('Apple', 'Chicken'), 'Onion'), # (('Orange', 'Beef'), 'Carrot'), # (('Banana', 'Pork'), 'Garlic'), # (('Kiwi', 'Duck'), 'Spinach'), # (('Lemon', 'Mutton'), 'Eggplant')] fm, v = list(zip(zip(fruits, meats), vegetables))[0] print(fm, v) # ('Apple', 'Chicken') Onion (f, m), v = list(zip(zip(fruits, meats), vegetables))[0] [f, m], v = list(zip(zip(fruits, meats), vegetables))[0] print(f, m, v) # Apple Chicken Onion for fm, v in zip(zip(fruits, meats), vegetables): print(fm, v) # ('Apple', 'Chicken') Onion # ('Orange', 'Beef') Carrot # ('Banana', 'Pork') Garlic # ('Kiwi', 'Duck') Spinach # ('Lemon', 'Mutton') Eggplant for (f, m), v in zip(zip(fruits, meats), vegetables): for [f, m], v in zip(zip(fruits, meats), vegetables): print(f, m, v) # Apple Chicken Onion # Orange Beef Carrot # Banana Pork Garlic # Kiwi Duck Spinach # Lemon Mutton Eggplant
fruits = ["Apple", "Orange", "Banana", "Kiwi", "Lemon", "Mango"] meats = ["Chicken", "Beef", "Pork", "Duck", "Mutton"] vegetables = ["Onion", "Carrot", "Garlic", "Spinach", "Eggplant"] print(list(zip(zip(fruits, zip(meats)), vegetables))) # [(('Apple', ('Chicken',)), 'Onion'), # (('Orange', ('Beef',)), 'Carrot'), # (('Banana', ('Pork',)), 'Garlic'), # (('Kiwi', ('Duck',)), 'Spinach'), # (('Lemon', ('Mutton',)), 'Eggplant')] fm, v = list(zip(zip(fruits, zip(meats)), vegetables))[0] print(fm, v) # ('Apple', ('Chicken',)) Onion (f, m), v = list(zip(zip(fruits, zip(meats)), vegetables))[0] [f, m], v = list(zip(zip(fruits, zip(meats)), vegetables))[0] print(f, m, v) # Apple ('Chicken',) Onion (f, (m,)), v = list(zip(zip(fruits, zip(meats)), vegetables))[0] [f, [m]], v = list(zip(zip(fruits, zip(meats)), vegetables))[0] print(f, m, v) # Apple Chicken Onion for fm, v in zip(zip(fruits, zip(meats)), vegetables): print(fm, v) # ('Apple', ('Chicken',)) Onion # ('Orange', ('Beef',)) Carrot # ('Banana', ('Pork',)) Garlic # ('Kiwi', ('Duck',)) Spinach # ('Lemon', ('Mutton',)) Eggplant for (f, m), v in zip(zip(fruits, zip(meats)), vegetables): for [f, m], v in zip(zip(fruits, zip(meats)), vegetables): print(f, m, v) # Apple ('Chicken',) Onion # Orange ('Beef',) Carrot # Banana ('Pork',) Garlic # Kiwi ('Duck',) Spinach # Lemon ('Mutton',) Eggplant for (f, (m,)), v in zip(zip(fruits, zip(meats)), vegetables): for [f, [m]], v in zip(zip(fruits, zip(meats)), vegetables): print(f, m, v) # Apple Chicken Onion # Orange Beef Carrot # Banana Pork Garlic # Kiwi Duck Spinach # Lemon Mutton Eggplant
以上是Python 中的 zip的詳細內容。更多資訊請關注PHP中文網其他相關文章!

SlicingaPythonlistisdoneusingthesyntaxlist[start:stop:step].Here'showitworks:1)Startistheindexofthefirstelementtoinclude.2)Stopistheindexofthefirstelementtoexclude.3)Stepistheincrementbetweenelements.It'susefulforextractingportionsoflistsandcanuseneg

numpyallowsforvariousoperationsonArrays:1)basicarithmeticlikeaddition,減法,乘法和division; 2)evationAperationssuchasmatrixmultiplication; 3)element-wiseOperations wiseOperationswithOutexpliitloops; 4)

Arresinpython,尤其是Throughnumpyandpandas,weessentialFordataAnalysis,offeringSpeedAndeffied.1)NumpyArseNable efflaysenable efficefliceHandlingAtaSetSetSetSetSetSetSetSetSetSetSetsetSetSetSetSetsopplexoperationslikemovingaverages.2)

列表sandnumpyArraysInpythonHavedIfferentMemoryfootprints:listSaremoreFlexibleButlessMemory-效率,而alenumpyArraySareSareOptimizedFornumericalData.1)listsStorReereReereReereReereFerenceStoObjects,with withOverHeadeBheadaroundAroundaround64byty64-bitsysysysysysysysysyssyssyssyssysssyssys2)

toensurepythonscriptsbehavecorrectlyacrycrosdevelvermations,分期和生產,USETHESTERTATE:1)Environment varriablesForsimplesettings,2)configurationfilesfilesForcomPlexSetups,3)dynamiCofforComplexSetups,dynamiqualloadingForaptaptibality.eachmethodoffersuniquebeneiquebeneqeniquebenefitsandrefitsandrequiresandrequiresandrequiresca

Python列表切片的基本語法是list[start:stop:step]。 1.start是包含的第一個元素索引,2.stop是排除的第一個元素索引,3.step決定元素之間的步長。切片不僅用於提取數據,還可以修改和反轉列表。

ListSoutPerformarRaysin:1)DynamicsizicsizingandFrequentInsertions/刪除,2)儲存的二聚體和3)MemoryFeliceFiceForceforseforsparsedata,butmayhaveslightperformancecostsinclentoperations。

toConvertapythonarraytoalist,usEthelist()constructororageneratorexpression.1)intimpthearraymoduleandcreateanArray.2)USELIST(ARR)或[XFORXINARR] to ConconverTittoalist,請考慮performorefformanceandmemoryfformanceandmemoryfformienceforlargedAtasetset。


熱AI工具

Undresser.AI Undress
人工智慧驅動的應用程序,用於創建逼真的裸體照片

AI Clothes Remover
用於從照片中去除衣服的線上人工智慧工具。

Undress AI Tool
免費脫衣圖片

Clothoff.io
AI脫衣器

Video Face Swap
使用我們完全免費的人工智慧換臉工具,輕鬆在任何影片中換臉!

熱門文章

熱工具

禪工作室 13.0.1
強大的PHP整合開發環境

MantisBT
Mantis是一個易於部署的基於Web的缺陷追蹤工具,用於幫助產品缺陷追蹤。它需要PHP、MySQL和一個Web伺服器。請查看我們的演示和託管服務。

SublimeText3漢化版
中文版,非常好用

SublimeText3 Linux新版
SublimeText3 Linux最新版

SecLists
SecLists是最終安全測試人員的伙伴。它是一個包含各種類型清單的集合,這些清單在安全評估過程中經常使用,而且都在一個地方。 SecLists透過方便地提供安全測試人員可能需要的所有列表,幫助提高安全測試的效率和生產力。清單類型包括使用者名稱、密碼、URL、模糊測試有效載荷、敏感資料模式、Web shell等等。測試人員只需將此儲存庫拉到新的測試機上,他就可以存取所需的每種類型的清單。