【发布时间】:2017-06-16 00:00:47
【问题描述】:
这里的python newb - 我正在尝试格式化一组发送给我的非常严重的csv,以便我可以将它们放入一个漂亮的postgres表中进行查询和分析。为了做到这一点,我首先使用 csv.writer 清理它们以删除包装每个条目的空白行和双引号。这是我的代码的样子:
import os
import csv
import glob
from itertools import islice
files = glob.glob('/Users/foo/bar/*.csv')
# Loop through all of the csv's
for file in files:
# Get the filename from the path
outfile = os.path.basename(file)
with open(file, 'rb') as inp, open('/Users/foo/baz/' + outfile, 'wb') as out:
reader = csv.reader(inp)
writer = csv.writer(out)
for row in reader:
if row:
writer.writerow(row)
out.close()
它工作得非常好,并且完全符合我的要求。输出 csv 看起来很棒。接下来,我尝试从新清理的 csv 文件的开头和结尾删除一定数量的包含完全不必要的垃圾的行(省略前 8 行和最后 2 行)。由于我确实无法确定的原因,这部分代码的 csv 输出(缩进与前面的“with”块相同)完全为空:
with open('/Users/foo/baz/' + outfile, 'rb') as inp2, open('/Users/foo/qux/' + outfile, 'wb') as out2:
writer2 = csv.writer(out2)
reader2 = csv.reader(inp2)
row_count = sum(1 for row in reader2)
last_line_index = row_count - 3
for row in islice(reader2, 7, last_line_index):
writer2.writerow(row)
out2.close()
我知道由于我使用“with”,每个块末尾的 close() 是多余的 - 我在查看 here 后尝试了它作为一种方法。我还尝试将第二个“with”块放入另一个文件并在运行第一个“with”块后运行该文件,但仍然无济于事。非常感谢您的帮助!
另外,这是整个文件:
import os
import csv
import glob
from itertools import islice
files = glob.glob('/Users/foo/bar/*.csv')
# Loop through all of the csv's
for file in files:
# Get the filename from the path
outfile = os.path.basename(file)
with open(file, 'rb') as inp, open('/Users/foo/baz/' + outfile, 'wb') as out:
reader = csv.reader(inp)
writer = csv.writer(out)
for row in reader:
if row:
writer.writerow(row)
out.close()
with open('/Users/foo/baz/' + outfile, 'rb') as inp2, open('/Users/foo/qux/' + outfile, 'wb') as out2:
writer2 = csv.writer(out2)
reader2 = csv.reader(inp2)
row_count = sum(1 for row in reader2)
last_line_index = row_count - 3
for row in islice(reader2, 7, last_line_index):
writer2.writerow(row)
out2.close()
谢谢!
【问题讨论】: