如何将for循环中的结果写入多个CSV文件
how to write results in a for loop to multiple CSV files
我有
with open ('~/abc.csv', 'w') as f:
write1 = csv.write(f)
write1.writerow(['header1', 'header2', 'header3', 'header4'])
with open ('~/def.csv', 'w') as g:
write2 = csv.write(g)
write2.writerow(['header1', 'header2', 'header3', 'header4', 'header5', 'header6'])
for iteration in a_list:
perform calculations
result1 = ([h1, h2, h3, h4],[l1, l2, l3, l4],[m1, m2, m3, m4], ...,[])
for pa in result1:
write1.writerow(pa)
def fun(result1):
result2 = ([n1, n2, n3, n4, n5, n6],[p1, p2, p3, p4, p5, p6], [], ...[])
for pb in result2:
write2.writerow(pb)
需要两个 csv 文件作为
'header1', 'header2', 'header3', 'header4'
h1, h2, h3, h4
l1, l2, l3, l4
m1, m2, m3, m4
:
和
'header1', 'header2', 'header3', 'header4', 'header5', 'header6'
n1, n2, n3, n4, n5, n6
p1, p2, p3, p4, p5, p6
当所有迭代都完成时,这可以很容易地完成,并且可以使用 writer.writerows(pa) 将单独的附加(列表)result1 和 result2 轻松写入单独的文件。但是,我想在每次迭代中都写入 csv 文件,这样我就不会因为某种原因不得不中断循环而错过。
谢谢!
目前,您只声明了一个编写器变量。您将需要第二个编写器变量。
fWriter = csv.write(f)
...
gWriter = csv.write(g)
...
fWriter.writerow(pa)
...
gWriter.writerow(pb)
您可以在一个上下文管理器中放置两个文件并拥有两个 csv.writer
对象(自 Python 2.7 起):
with open ('~/abc.csv', 'w') as f, open ('~/def.csv', 'w') as g:
writer1 = csv.writer(f)
writer2 = csv.writer(g)
writer1.writerow(['header1', 'header2', 'header3', 'header4'])
writer2.writerow(['header1', 'header2', 'header3', 'header4', 'header5', 'header6'])
for iteration in a_list:
# perform calculations
for pa in result1:
writer1.writerow(pa)
for pb in result2:
writer2.writerow(pb)
来自文档(与 Python 2.7 up to 3.5 相同)。
With more than one item, the context managers are processed as if multiple with statements were nested:
with A() as a, B() as b:
suite
is equivalent to
with A() as a:
with B() as b:
suite
这表明另一种方法是让嵌套更深一层。
with open ('~/abc.csv', 'w') as f:
with open ('~/def.csv', 'w') as g:
writer1 = csv.writer(f)
writer2 = csv.writer(g)
...
我有
with open ('~/abc.csv', 'w') as f:
write1 = csv.write(f)
write1.writerow(['header1', 'header2', 'header3', 'header4'])
with open ('~/def.csv', 'w') as g:
write2 = csv.write(g)
write2.writerow(['header1', 'header2', 'header3', 'header4', 'header5', 'header6'])
for iteration in a_list:
perform calculations
result1 = ([h1, h2, h3, h4],[l1, l2, l3, l4],[m1, m2, m3, m4], ...,[])
for pa in result1:
write1.writerow(pa)
def fun(result1):
result2 = ([n1, n2, n3, n4, n5, n6],[p1, p2, p3, p4, p5, p6], [], ...[])
for pb in result2:
write2.writerow(pb)
需要两个 csv 文件作为
'header1', 'header2', 'header3', 'header4'
h1, h2, h3, h4
l1, l2, l3, l4
m1, m2, m3, m4
:
和
'header1', 'header2', 'header3', 'header4', 'header5', 'header6'
n1, n2, n3, n4, n5, n6
p1, p2, p3, p4, p5, p6
当所有迭代都完成时,这可以很容易地完成,并且可以使用 writer.writerows(pa) 将单独的附加(列表)result1 和 result2 轻松写入单独的文件。但是,我想在每次迭代中都写入 csv 文件,这样我就不会因为某种原因不得不中断循环而错过。
谢谢!
目前,您只声明了一个编写器变量。您将需要第二个编写器变量。
fWriter = csv.write(f)
...
gWriter = csv.write(g)
...
fWriter.writerow(pa)
...
gWriter.writerow(pb)
您可以在一个上下文管理器中放置两个文件并拥有两个 csv.writer
对象(自 Python 2.7 起):
with open ('~/abc.csv', 'w') as f, open ('~/def.csv', 'w') as g:
writer1 = csv.writer(f)
writer2 = csv.writer(g)
writer1.writerow(['header1', 'header2', 'header3', 'header4'])
writer2.writerow(['header1', 'header2', 'header3', 'header4', 'header5', 'header6'])
for iteration in a_list:
# perform calculations
for pa in result1:
writer1.writerow(pa)
for pb in result2:
writer2.writerow(pb)
来自文档(与 Python 2.7 up to 3.5 相同)。
With more than one item, the context managers are processed as if multiple with statements were nested:
with A() as a, B() as b:
suite
is equivalent to
with A() as a:
with B() as b:
suite
这表明另一种方法是让嵌套更深一层。
with open ('~/abc.csv', 'w') as f:
with open ('~/def.csv', 'w') as g:
writer1 = csv.writer(f)
writer2 = csv.writer(g)
...