此脚本读取文本文件,获取每列的每3行的平均值并将其写入csv文件:
输入文件:
2013-08-29T15:11:18.55912 0.019494552 0.110042184 0.164076427 0.587849877
2013-08-29T15:11:18.65912 0.036270974 0.097213155 0.122628797 0.556928624
2013-08-29T15:11:18.75912 0.055350041 0.104121094 0.121641949 0.593113069
2013-08-29T15:11:18.85912 0.057159263 0.107410588 0.198122695 0.591797271
2013-08-29T15:11:18.95912 0.05288292 0.102476346 0.172958062 0.591139372
2013-08-29T15:11:19.05912 0.043507861 0.104121094 0.162102731 0.598376261
2013-08-29T15:11:19.15912 0.068343545 0.102805296 0.168517245 0.587849877
2013-08-29T15:11:19.25912 0.054527668 0.105765841 0.184306818 0.587191978
2013-08-29T15:11:19.35912 0.055678991 0.107739538 0.169997517 0.539165352
脚本:
data = loadtxt('infile.txt', usecols = (1,2,3,4))
with open ('out.csv', 'wb') as outfile:
writer = csv.writer(outfile, delimiter = '\t')
seg_len = 3
for x in range(0, len(data[:,1]), seg_len):
sample_means = ([x/seg_len], [mean(data[x:x+seg_len,i]) for i in range(4)])
bi = list(chain.from_iterable(sample_means))
writer.writerow ((', '.join(map(repr, bi))))
输出CSV文件:
0 0.037038... 0.10379... ...
1 0.051183... 0.10466... ...
2 00059516... 0.10543... ...
但是当我打开csv文件和sum列时,它给出了零!好像他们不是数字。我直接从CSV文件复制,它看起来像这样:
"0 " " 0 . 0 3 7 0 3 8 5 2 2 3 3 3 3 3 3 3 3 " " 0 . 1 0 3 7 9 2 1 4 4 3 3 3 3 3 3 3 2 "
"1 " " 0 . 0 5 1 1 8 3 3 4 7 9 9 9 9 9 9 9 9 7 " " 0 . 1 0 4 6 6 9 3 4 2 6 6 6 6 6 6 6 6 "
"2 " " 0 . 0 5 9 5 1 6 7 3 4 6 6 6 6 6 6 6 6 1 " " 0 . 1 0 5 4 3 6 8 9 1 6 6 6 6 6 6 6 6 "
有人可以建议如何解决这个问题吗?
答案 0 :(得分:4)
也许你在找这个?
sample_means = [x/seg_len] + [mean(data[x:x+seg_len,i]) for i in range(4)]
writer.writerow(sample_means)
答案 1 :(得分:0)
您的部分问题是writerow
需要一个可迭代的值。你给它一个字符串(', '.join
的输出),所以字符串中的每个字母都在一个单独的分隔字段中写入文件。如果您将bi
直接传递给writerow,它至少应解决该特定问题。