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numpy??????

1. ????(array)

numpy?????????????????????????????np.array()??????????????shape??????????????

import numpy as nparr = np.array([1, 2, 3], dtype=np.int32)

2. ???????

?????????numpy????????????dtype???????????????itemsize????????????????

3. shape

shape???????????????shape??????????????????????????

arr = np.array([1, 2, 3, 4])arr.shape = (2, 2)

4. dtype ? itemsize

• dtype??????????????dtype=np.float64????????
• itemsize?????????????????itemsize=4??????????4???

5. size

size??????????????????

arr = np.array([1, 2, 3, 4])print(arr.size)  # ???4

6. nibbles??????????ndim???

• nbytes??????????????
• ndim??????????

7. fill

fill??????????????????????

8. ?????????complex?

numpy????????????????????????????dtype=np.complex128???

9. ???

negative?????????????

10. np.array ? np.asarray

• np.array()???????????????????
• np.asarray()??????????????numpy???

11. astype

astype?????????????????????

12. inf ? nan

• inf???????
• nan?????Not a Number??

13. zero?ones?arange

• np.zeros()???????
• np.ones()???????
• np.arange()?????????

14. linspace

linspace???????????

15. ????

?????????????????????

16. shape ???????

????shape????????????????????????????

17. ndenumerate

ndenumerate????????????????

18. sum?prod?max?argmax

• sum()???????????
• prod()??????????
• max()??????????
• argmax()???????????

19. mean

mean()???????????

20. ???transpose?

T?transpose()??????????

21. ???concatenate?

np.concatenate()???????????

22. vstack?hstack?dstack

• vstack()???????
• hstack()???????
• dstack()???????????

23. ????????

????????????????????

24. ????

np.dot()???????????

25. cos????

np.cos()??????np.sqrt()??????

26. all?any

• all()????????????????
• any()?????????????????

27. allclose

allclose()???????????????

28. ????

?????????????????????

29. ?????rand?randn?

• rand()?????????????
• randn()???????????

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