1.引用
import numpy as np
核心功能：
- 任意同类项的数组对象
- 数组上的快速数学运算
-
线性代数、傅立叶变换、随机数生成
-
帮助获取
-
方式1
python3
import numpy
help(numpy) - 方式2
from numpy import doc
help(doc)
he following topics are available: - basics
- broadcasting
- byteswapping
- constants
- creation
- glossary
- indexing
- internals
- misc
- structured_arrays
- subclassing
-
ufuncs You can view them by
help(np.doc.TOPIC) -
basics
基础数据类型
- Numpy type C type Description
- np.bool bool Boolean(True or False) stored as a byte
- np.byte signed char Platform-defined
- np.ubyte unsigned char
- np.short short
- np.ushort unsigned short
- np.intc int
- np.uintc unsigned int
- np.int_ long
- np.uint unsigned long
- np.longlong long long
- np.ulonglong unsigned long long
- np.half np.float16
- np.single float
- np.double double
- np.longdouble long double
- np.csingle float complex
- np.cdouble double complex
- np.clongdouble long double complex
- np.int8 int8_t
- np.int16 int16_t
- np.int32 int32_t
- np.int64 int64_t
- np.uint8 uint8_t
- np.uint16 uint16_t
- np.uint32 uint32_t
- np.uint64 uint64_t
- np.float32 float
- np.float64 double
- np.complex64 float complex
- np.complex12 double complex
import numpy as np
x=np.float32(1.0)
x
1.0y=np.int_([1,2,4])
y
array([1,2,4]z=np.arange(3, dtype=np.uint8)
z
array([0,1,2], dtype=uint8)np.array([1,2,3], dtype=’f’)
array([1., 2., 3.], dtype=float32_
修改类型
z=np.arange(3, dtype=np.uint8)
z.astype(float)
np.int8(z)Original: https://blog.csdn.net/yaffils79/article/details/122211649
Author: yaffils79
Title: python3 numpy学习
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