txt文件数据处理

读取每行数据，并进行简单处理

f = open('result.txt', 'r')
row = f.readline()
print(row)
# [8, 0, 30, 30, 30, 30, 30, 30, 45, 90, 1.460]\n
print(row.strip().strip('[]').strip(','))
# 8, 0, 30, 30, 30, 30, 30, 30, 45, 90, 1.460
print(row.strip().strip('[]').split(','))
# ['8', ' 0', ' 30', ' 30', ' 30', ' 30', ' 30', ' 30', ' 45', ' 90', ' 1.460']
print("%s" % row.strip().strip('[]').split(',')[0])
# 8
print(type(row.strip().strip('[]').split(',')[0]))
# <class 'str'>
rows = f.readlines()
print(len(rows), type(rows))  # 13 <class 'list'>
for line in rows:  # [8, 1], [8, 2], [8, 3], [8, 4], [8, 5]
    print(line)
f.close()

arr = []
f = open('result.txt', 'r')
rows = f.readlines()
for line in rows:
    line = line.strip().strip('[]').split(',')
    arr.append(line)
f.close()

保存numpy数组到txt文件

import numpy as np
data = np.arange(1, 10).reshape(3, 3)
np.savetxt('data.txt', data, fmt="%d")
'''
data.txt:
1 2 3
4 5 6
7 8 9
'''
np.savetxt('data.txt', data, fmt="%.2f", delimiter=',')
'''
data.txt:
1.00,2.00,3.00
4.00,5.00,6.00
7.00,8.00,9.00
'''

保存list到txt文件

fi = open('data.txt', 'w')
arr = list([[1, 2], [3, 4, 5]])
fi.write(str(arr))
fi.close()
'''
data.txt:
[[1, 2], [3, 4, 5]]
'''