Python存储和读取数据

1. 采用numpy模块来进行数组的存储
   三种方式：
   a .

import numpy
a = [1, 2, 3, 4, 5]
numpy.save('arr1.npy', a)
b = numpy.load('arr1.npy')

b.

import numpy
a = [1, 2, 3, 4, 5]
numpy.savetxt('arr.txt',a)
b = numpy.loadtxt('arr.txt')

c.

import numpy
a = [1,2,3,4,5]
a.tofile('arr1.bin',)
b = numpy.fromfile("arr1.bin",dtype=**)

1. 采用pickle库来进行字典的存储

#使用pickle模块将数据对象保存到文件

import pickle

data1 = {'a': [1, 2.0, 3, 4+6j],
         'b': ('string', u'Unicode string'),
         'c': None}

selfref_list = [1, 2, 3]
selfref_list.append(selfref_list)

output = open('data.pkl', 'wb')

# Pickle dictionary using protocol 0.
pickle.dump(data1, output)

# Pickle the list using the highest protocol available.
pickle.dump(selfref_list, output, -1)

output.close()

#使用pickle模块从文件中重构python对象

import pprint, pickle

pkl_file = open('data.pkl', 'rb')

data1 = pickle.load(pkl_file)
pprint.pprint(data1)

data2 = pickle.load(pkl_file)
pprint.pprint(data2)

pkl_file.close()