numpy 用法

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发布时间：2023-02-17

本文共 1755 字，大约阅读时间需要 5 分钟。

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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