我有一些csv格式的数据,我需要将第3列乘以第6列,然后将结果追加到最后。我的数据如下:
TITLE,TITLE,T,T,T,T
data,data,5,data,data,98.7,data
data,data,2,data,data,97,data
data,data,5,data,data,98,data
data,data,4,data,data,8.7,data
data,data,5,data,data,9.7,data
data,data,12.5,data,data,198.7,data
我对编码很新,但我的尝试如下: 导入csv 导入日期时间 进口副本 来自集合import defaultdict
class_col = 2
data_col = 5
with open('minitest.csv', 'r') as f:
data = [line.strip().split(',') for line in f]
for row in data:
class_col*data_col
with open('minitest_edit.csv', 'w') as nf:
nf.write('\n'.join(','.join(row) for row in data))
print "done"
我没有收到任何错误,有什么建议吗?谢谢操作系统“
答案 0 :(得分:5)
使用csv.reader
和csv.writer
:
import csv
with open('minitest.csv', 'rb') as f:
reader = csv.reader(f)
data = [next(reader)] # title row
for row in reader:
data.append(row + [float(row[2]) * float(row[5])])
with open('minitest.csv', 'wb') as nf:
writer = csv.writer(nf)
writer.writerows(data)
产生
TITLE,TITLE,T,T,T,T
data,data,5,data,data,98.7,data,493.5
data,data,2,data,data,97,data,194.0
data,data,5,data,data,98,data,490.0
data,data,4,data,data,8.7,data,34.8
data,data,5,data,data,9.7,data,48.5
data,data,12.5,data,data,198.7,data,2483.75
答案 1 :(得分:4)
您希望以下内容将您的列相乘并将它们附加到原始列:
new_data = []
for row in data:
new_data.append(row + [float(row[class_col]) * float(row[data_col])])
答案 2 :(得分:3)
这是一种更有效地实现它的方法,即不读取内存中的数据,这对于更大的数据集很重要:
import csv
import tempfile
import shutil
input_file = 'minitest.csv'
with open(input_file, 'rb') as f, \
tempfile.NamedTemporaryFile(delete=False) as out_f:
# in order to be able to not have to read everything in memory, we have to
# write every processed row to disk immediatley; for that, we need a temporary
# file because we can't read and write a single file at the same time:
reader = csv.reader(f)
writer = csv.writer(out_f)
# header row
writer.writerow(next(reader))
# note that this uses a generator not a list, so that writerows will lazily
# evaluate each row as it writes them to disk
writer.writerows(row + [float(row[2]) * float(row[5])] for row in reader)
# one everything's done, overwrite the original file with the new contents.
shutil.move(out_f.name, input_file)
PS 如果您只是没有回写到同一个文件,它实际上会更简单 - 您可以在处理代码完成后手动移动,以保持处理代码更简单。
答案 3 :(得分:0)
如果你很幸运并在LINUX上编程,你可以使用awk:
awk -F "\"*,\"*" '{print $0 "," $3*$6 }' test.csv > result.csv
您可以使用Python http://docs.python.org/2/library/subprocess.html调用它。