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Create: 2025-01-27 Update: 2025-07-01 07:44:07

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✅کار با متدهای numpy - بخش سوم

⏪با استفاده از متد copy میتوانید از یک آرایه کپی تهیه کنید.نحوه کپی کردن آرایه a7 در a10 بصورت زیر می باشد"

»> a7=np.array([[1,3.5,5,7],[2,4,6,8],[1,1,1,1]])
»> a10 = a7.copy()
»> a10
array([[ 1. ,  3.5,  5. ,  7. ],
       [ 2. ,  4. ,  6. ,  8. ],
       [ 1. ,  1. ,  1. ,  1. ]])

⏪متد بعد متد sort کردن می باشه همونطور همه میدونید برای مرتب نمودن استفاده میشه،دقت کنید نحوه استفاده از این متد متفاوت هست با متدهای دیگه،یه مثال میزنیم:

»> a11=np.array([[2,3,4,1],[30,4,5,1]])
»> a12 = np.sort(a11)
»> print a12
[[ 1  2  3  4]
 [ 1  4  5 30]]

🔶همانطور که مشاهده میکنید هر سطر آرایه رو بصورت جدا مرتب میکنه،و برای sort هم از دستور np.sort استفاده کردیم.

⏪اگر بخواهیم کلیه عناصر آرایه مون رو در یک آرایه بصورت مرتب شده قرار دهیم .میتوانیم دستور sort را بصورت زیر استفاده کنیم.

»> a13 = np.sort(a11,axis = None)
»> a13
array([ 1,  1,  2,  3,  4,  4,  5, 30])

🔵در بخش بعدی میخواهیم ببینیم دیگه به چه طریقی میتوانیم یک آرایه بسازیم،ما تا اینجا از لیست ها استفاده کردیم برای ساخت آرایه،در قسمت بعد از تاپل استفاده میکنیم که تاپل رو در بخش مقدماتی توضیح دادیم

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»> a7=np.array([[1,3.5,5,7],[2,4,6,8],[1,1,1,1]])
»> a10 = a7.copy()
»> a10
array([[ 1. ,  3.5,  5. ,  7. ],
       [ 2. ,  4. ,  6. ,  8. ],
       [ 1. ,  1. ,  1. ,  1. ]])

»> a11=np.array([[2,3,4,1],[30,4,5,1]])
»> a12 = np.sort(a11)
»> print a12
[[ 1  2  3  4]
 [ 1  4  5 30]]

»> a13 = np.sort(a11,axis = None)
»> a13
array([ 1,  1,  2,  3,  4,  4,  5, 30])

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