numpy的总结

一:基础篇

  1)数值

import  numpy as np
np.set_printoptions(linewidth=200,suppress=True)
a = np.array([1,2,3,4,5,6,7,8],dtype=np.int)
print(a)
print(a.shape)
c = np.reshape(a,[4,-1])
print(c)

d = np.asarray(a,np.float)
print(d)
# 取4个值: b
= np.linspace(1,10,4,dtype=np.int) print(b)
# 每4步取一值
b = np.arange(1,10,4,dtype=np.float)
print(b)

  #对比两种方式

#1)改变g会改变a的值
a = np.arange(10)
g = a[1:]
print(g)
g[1]=5
print(g)
print(a)
2)改变g不会改变a的值
h = b[a]
print(h)
h[1] = 7
print(h)
print(b)

 

 

 

  2)数据类型转换

s='caixuwu小裁缝'
f = np.fromstring(s,dtype=np.int8)
print(f)
z = np.fromiter('123456789',dtype=np.int,count=3)
print(z)

 

二:计算篇

e = np.logspace(1,4,4,endpoint=True,base=10,dtype=np.int)
print(e)

 

posted @ 2018-08-23 18:18  小裁缝  阅读(109)  评论(0编辑  收藏  举报