-
Notifications
You must be signed in to change notification settings - Fork 7
/
Copy pathmy_func.py
executable file
·49 lines (42 loc) · 1.26 KB
/
my_func.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 6 14:33:58 2017
@author: anyi
"""
import os
import numpy as np
def file_cover(file_name):
if os.path.isfile(file_name):
f=open(file_name,"w")
f.truncate()
f.close()
return
def file_save_string(string,file_name):
with open(file_name, 'a') as file:
file.write(string)
def file_save_int(integer,file_name):
with open (file_name,"a") as file:
write_integer = '%d\n'%(integer)
file.write(write_integer)
def file_save_nparray(nparray,file_name):
with open (file_name,"a") as file:
for i in xrange (len(nparray)):
write_nparray = '%d\n'%(nparray[i])
file.write(write_nparray)
def file_save_nparray2d(nparray,file_name):
with open (file_name,"a") as file:
for i in xrange (nparray.size):
write_nparray = '%d\n'%(nparray[0,i])
file.write(write_nparray)
if __name__=="__main__":
file_name='test.txt'
file_cover(file_name)
file_save_string('hello',file_name)
for i in xrange (10):
file_save_int(i,file_name)
a =np.loadtxt(file_name)
b= np.ones(5)
c= np.zeros(5)
file_save_nparray(b,file_name)
file_save_nparray(c,file_name)